Find Your Dream Aws Job in India

Hybrid mode (Mandatory 3days WFO)

The Opportunity

"The Security Engineer is a highly visible and critical role, collaborating on complex cloud and corporate service edge protection technologies and oversight. With your proven history of technical knowledge of identity and access management systems and services you will be working on a variety of different challenges facing the organization. You will provide both guidance and direct input to help ensure a secure, well-protected environment that complies with all applicable security standards". - Director, Cyber Security.

What We're Looking For:

• 2-4 years of hands-on experience with SailPoint (ISC or IIQ).
• At least 2 years of AWS IAM expertise.
• AWS Security Specialty certification strongly preferred.
• Solid understanding of identity protocols and standards (OIDC, SAML, API tokens).
• Proficiency in scripting (Python, PowerShell, Bash).
• Experience working with JSON and API testing tools (e.g., Postman), plus familiarity with Java or Beanshell scripting.

What You'll Do:

• Implement and enhance identity security tools, including IGA, ITDR, and NHI platforms.
• Automate testing, policy/posture reporting, and deployment of IAM solutions via pipelines & IaC.
• Provide engineering support for integrating security tools and APIs within the IAM program.
• Collaborate on design, architecture reviews, security testing, and process improvements.
• Stay current on emerging technologies, support compliance efforts, and advise on best practices.

Why Join Us:

• Supportive culture that values ownership, customer delight, and mutual respect.
• Opportunities to make an impact and grow via hands-on learning and mentorship.
• Competitive pay, benefits, and a focus on work life balance through hybrid work and community events.

Roles and Responsibility:

Build:

• Take a defined problem including one or more components and come up with the implementation with minimal guidance
• Understand framework and tool ecosystem to implement components
• Develop high quality code that can lead to rapid delivery
• Provide inputs towards on estimate and schedules for requirements
• Create and maintain detailed technical documentation
• Aware of CI/CD tooling
• Understand version control & branching strategies

Operations

• End-To-End platform support & maintenance - Monitoring and patching.
• Monitoring the cloud infrastructure
• Support production systems, resolve incidents and perform root cause analysis.
• Identifying, develop & automated service improvements & administrative tasks
• Demonstrate a good working knowledge of one relevant operating system
• Implement System Back-up & Restore mechanism
• Setting up automated alerts to spot problems in the applications and infrastructure
• Responsible for installing security patches, initiate/restore backups etc

Others

• Experience working in Agile teams
• Participate in Agile ceremonies
• Good knowledge on DevOps, Automated testing & Continuous delivery model
• Learn and apply technologies, techniques and methodologies that add value to my team.
• Self-motivated, self-directed, abilities to prioritize and execute tasks in a high-pressure environment with "time-critical" deadlines
• Written & Verbal communication skills
• Problem Solving, analysis & computation skills

Knowledge & Skills

• Must Have Skills:
• AWS Cloud Computing & Cloud Networking Concepts
• Deep understanding of AWS Well-Architected Framework
• Expertise in common AWS services : EC2, S3, Auto Scaling Group, RDS, Load balancers etc
• Platform automation
• IaaC : CloudFormation, Terraform
• Dev Ops pipelines using Jenkins
• Hands-on experience in Linux Shell Scripting
• Configuration management tool: Ansible
• Version control tool: GitHub

• Add-on Skills:
• Programming languages: Python
• Observability tool such as Datadog

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

• 8-12 years designing and implementing cloud data architectures on AWS (S3, Redshift, Glue, Lake Formation, IAM).

Proficient in data modeling, performance tuning, and security best practices;

AWS Certified Solutions Architect preferred.

Job Title - AI Engineer + AWS

Primary Skills - GenAI,Azure,Machine Learning, Data Science, Python.

Experience Level - 5yrs-12yrs Location - Bangalore / Bengaluru ,Bhubaneswar Chennai - TamilNadu ,Coimbatore, Hyderabad, Kolkata, Lucknow Mumbai - Powai ,Mumbai Navi Mumbai ,Noida, Pune.

Job Requirements*

Required Skills & Qualifications:

• Primary responsibility is to develop and deploy generative AI Solutions to AWS Platform
• Handson experience with a strong background in Python and practical frontend skills
• Experience in build and deploy machine learning and generative AI applications and prototypes leveraging AWS services like Bedrock SageMaker and associated AIML capabilities
• Apply advanced prompt engineering Retrieval Augmented Generation RAG Agentic AI techniques to enhance model performance and contextual relevance for use cases
• Write clean well documented efficient code and contribute to the full software development lifecycle from design to deployment and optimization

Key Responsibilities*

Key Responsibilities:

• Primary responsibility is to develop and deploy generative AI Solutions to AWS Platform
• Handson experience with a strong background in Python and practical frontend skills
• Experience in build and deploy machine learning and generative AI applications and prototypes leveraging AWS services lik

Job Description:

Innodata is seeking a legal specialist to serve as a consultant for a client in the legal and regulatory space. This legal specialist will support standardization activities across multiple siloed legal processes in different countries, pertaining to the legal primary sources workflow. Activities include:

• Working with business analysts and legal experts to analyze individual countries’ primary source workflow, data and files
• Working with business analysts to create consolidated and standardized processes and data based on individual countries’ processes, highlighting instances in which local countries cannot conform to standard
• Producing deliverables for standardized process (with the support of business analysts), including but not limited to:
• Process documentation (as-is documentation and to-be process design)
• Spreadsheets containing standardized data elements for various processes
• Understanding status of standardization efforts across all active countries, and reporting status to program leadership
• Attending regular Program Board meetings and serving as legal expert representative
• Attending regular Operational Committee meetings and serving as legal expert representative
• Attending and contributing to meetings between business analysts and client to provide guidance and context

Required Skills

• Legal expert, expe

We are looking for an experienced Data Engineering Manager with a strong foundation in Python, SQL, and Spark , and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. You’ll work closely with cross-functional teams to drive data reliability, quality, and performance.

Responsibilities:

• Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs.
• Building data lake in WS Databricks.
• Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data.
• Develop distributed data processing solutions using Apache Spark or PySpark .
• Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data.
• Ensure data quality, governance, security, and compliance across pipelines and data stores.
• Monitor, troubleshoot, and improve the performance of data systems and pipelines.
• Participate in code reviews and help establish engineering best practices.
• Mentor junior data engineers an

Job Title: Customer Success Manager – AWS Cloud Location: [Pune, Maharashtra]

Job Type: [Full-Time]

Job Overview We are seeking a proactive and customer-focused Customer Success Manager (CSM) to join our AWS Cloud team. The CSM will act as a trusted advisor, helping our customers maximize the value of their AWS investments. This role requires a mix of technical knowledge, business acumen, and strong relationship-building skills to drive adoption, optimize costs, and ensure overall customer satisfaction. Key Responsibilities

● Serve as the primary point of contact for assigned AWS customers, building strong strategic relationships.

● Drive adoption of AWS services, ensuring alignment with customer business objectives.

● Analyze usage patterns and recommend cost optimization strategies, including Reserved Instances, Savings Plans, and right-sizing of resources.

● Coordinate with AWS Solutions Architects, Support, and Professional Services teams to resolve technical and operational challenges.

● Conduct regular business reviews, track KPIs, and provide actionable insights for continuous improvement.

● Guide customers through cloud migration, modernization, and best practice implementation.

● Proactively identify risks, potential issues, and opportunities to enhance customer experience and cloud ROI.

Must-Have Skills

● Strong knowledge of AWS Cloud services (EC2, S3, RDS, Lambda, VPC, CloudFron

Job Description:

• Prepare memos on complex regulatory issues;
• Liaise with external counsel as required, to enable the Infosys group’s global regulatory compliances;
• Review and finalize draft employment policy documents, employment contracts;
• Negotiate with clients and partners to resolve contractual deadlocks;
• Provide advice to Infosys’ stakeholders to resolve issues, particularly in the areas of transfer of employment, termination of employment, social security contributions, employee benefits;
• Prepare and approve responses on behalf of Infosys group prior to submission to courts, tribunals and regulatory authorities;
• Execute litigation strategy;
• Coordinate litigation and other legal matters handled by external counsel;
• Liaise with insurers in order to properly manage contentious matters;
• Contribute research papers to the knowledge repository to enhance the knowledge base of the Infosys group legal function;
• Provide training on employment law issues to Infosys’ stakeholders.

Qualifications and Experience :

• Fully qualified lawyer with 3-5 years of post-qualification experience.
• Previous employment law experience preferred, but not mandatory.

The ideal candidate is passionate about learning, data, scalability, and agility. You'll leverage your strong collaboration skills and data architecture expertise, along with a deep understanding of cloud technologies, to design and manage complex data systems. By ensuring these systems are scalable and efficient, you'll transform data into actionable intelligence. If you love creating robust data solutions and working with cutting-edge cloud technologies, this role is for you

Primary Skills

We are seeking a Cloud Data Architect (Azure/AWS) to join our team for an exciting data project.

About Role:

Experience – 10 to 15 years

Location- Bangalore/Pune

Notice- Immediate to 15 days .

Key skills: Data Architect, Azure Databricks, SQL, Pyspark/Python

Job Description: Technical Data Architect (Azure/Aws)

• 10+ years of IT experience , including designing Azure data platforms and IBM DataStage with large-scale implementation experience.
• 5+ years of experience in Azure cloud technology.
• Hands-on coding skills in Azure Stacks, SQL, PySpark/Python.
• Proven experience with Databricks projects .
• Expertise in devel

AI Data Engineer (AWS/Snowflake)

Remote (India-Based)

Overview

Entech Consulting is supporting our client, an AI-driven company that helps global organizations reduce the cost and time-to-market for promotional assets through intelligent automation. They recently secured multiple new engagements and is expanding rapidly. We’re seeking a strong technical AI Data Engineer with recent hands-on AI/ML and data engineering experience to join their growing team.

This is a remote role based in India, working closely with a mostly U.S.-based team of strategists and engineers.

Key Responsibilities

• Develop and optimize data pipelines and API integrations to support AI/ML workloads.
• Configure and maintain AWS infrastructure for AI and data operations, including S3, Lambda, VPC, ECS/ECR, and CloudFormation.
• Design and manage Snowflake environments (Snowpipe, Warehouses, Databases) for scalable data ingestion and processing.
• Build and maintain connectors and APIs for integrating training datasets into LLMs (Large Language Models).
• Collaborate with a small, agile team to deliver AI-driven solutions from data ingestion through model deployment.
• Contribute ideas, challenge assumptions, and help shape a fast-moving AI product environment.

Required Skills & Experience

• 7+ years of

CACI International Inc is an American multinational professional services and information technology company headquartered in Northern Virginia.

CACI provides expertise and technology to enterprise and mission customers in support of national security missions and government transformation for defense, intelligence, and civilian customers.

CACI has approximately 23,000 employees worldwide.

Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn.

Founded in 2022, CACI India is an exciting, growing and progressive business unit of CACI Ltd. CACI Ltd currently has over 2000 intelligent professionals and are now adding many more from our Hyderabad and Pune offices. Through a rigorous emphasis on quality, the CACI India has grown considerably to become one of the UKs most well-respected Technology centres.

About Data Platform:

• The Data Platform will be built and managed “as a Product” to support a Data Mesh organization.
• The Data Platform focusses on enabling decentralized management, processing, analysis and delivery of data, while enforcing corporate wide federated governance on data, and project environments across business domains.
• The goal is to empower multiple teams to create and manage high integrity data and data products that are analyti

TCS Hiring !!Virtual Drive ***6 th November *** AWS Scala

TCS - Primary - TCS - Kolkata, Secondary - Hyderabad, Pune, Bangalore

4 to 8 years

Role** AWS Scala *****

Exp -4 to 8 Years

Please read Job description before Applying

NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:

Name:

Contact Number:

Email ID:

Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)

Current Organization Name:

Total IT Experience-3 to 8 Years

Location : Primary - TCS - Kolkata, Secondary - Hyderabad, Pune, Bangalore

Current CTC

Expected CTC

Notice period: Immediate

Whether worked with TCS - Y/N

Proficient in Scala, both object oriented and functional programming concepts, and the JVM ecosystem. · Deep understanding and application of advanced functional programming concepts like category theory, monads, applicatives, and type classes. · Hands-On knowledge with Scala Typelevel libraries like Cats, Shapeless, and others used for building applications with strong typing and efficient concurrency. · Proficiency in AWS services, especially for deploying and managing backend systems. · Strong experience in designing and

Project Description:

• We're seeking a solid and creative AWS Cloud DevOps eager to solve scale problems and work on cutting-edge and open-source technologies. In this project, you will have the opportunity to write code that will impact thousands of users every month. You'll implement your critical thinking and technical skills to develop cutting-edge software, and you'll have the opportunity to interact with teams across disciplines. In Luxoft, our culture strives to solve challenging problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. We do it with a truly flexible environment, high-impact projects in Agile environments, a culture focused on results, training, and strong support to grow your career. In this project, you will be a member of the Information Technology Team, within the Information Technology Division.

Responsibilities:

• +7 years of Experience as a AWS DevOps Engineer with technical expertise in Build and Release Management.
• ECS - Fargate
• CloudFormation
• Elastic Cache - Redis
• Open Search
• Solace/Active MQ
• Github and Github actions
• Route 53
• DR setup ( Active / Active or Active / Passive )
• Monitoring Tools :
• Kibana/ Datadog/ Dynatrace - or any similar tools

Mandatory Skills Description:

• Strong in commun

Job Title: Enterprise Architect

About the Role

We are seeking a highly experienced and visionary Enterprise Architect to lead the architectural strategy and technical direction across our product suite. This role is ideal for a senior technologist with 20+ years of experience in software and systems architecture, with a strong background in enterprise technologies, product development lifecycles, and scalable platform design.

The ideal candidate will be a strategic thinker and hands-on leader capable of aligning technology initiatives with business goals, driving innovation, and enabling secure, high-performance solutions for a rapidly evolving digital ecosystem.

Key Responsibilities

• Architectural Leadership : Define and lead the enterprise architecture strategy across the organization, focusing on building scalable, resilient, and secure software platforms.
• Strategic Planning : Collaborate with executive leadership, product management, and engineering teams to translate business goals into actionable technology strategies.
• Technology Oversight : Evaluate, recommend, and implement modern technologies, frameworks, and platforms that align with long-term product and business vision.
• Systems Integration : Design robust integration strategies for third-party APIs, internal systems, and data platforms to ensure seamless interoperability and data

Position: AWS Infra Devops Consultant

Location: Noida / Chennai

Experience: 9 to 12 years

Education: B.E./ B.Tech./ MCA

Primary Skills: Terraform, Kubernetes, AWS

Certification: AWS Solution Arrchitect Certified

Job Description

1. Strong exoerience in AWS Platform (Infrastructure, Services, Administration, Provisioning, Monitoring…)
2. Managing Kubernetes (EKS)
3. Container Technology such as Docker
4. Infrastructure as Code via Terraform
5. Must be hands on with the above technologies
6. ELK Stack
7. GitOps based deployments (argocd)
8. Working with basic web technologies (DNS, TLS, JWT, OAuth2.0, OIDC, etc…)
9. Cloud-native software architecture (Microservices, Patterns, DDD, …)
10. Working with internal developer platforms such as backstage
11. Able to work as an individual contributor as well as lead the infra team.

About Position:

We’re looking for an AWS Data Platform Engineer to help automate and scale our cloud-based analytics environment. You’ll work with our BI and Data Engineering teams to build secure, automated, and reusable AWS infrastructure that supports data pipelines, Redshift environments, and business intelligence integrations.

• Role: AWS Data Platform Engineer
• Location: All Persistent Location
• Experience: 9+years
• Job Type: Full Time Employment

What You'll Do:

• Design and maintain CI/CD pipelines for data platform and analytics workloads.
• Build and manage containerized applications using Docker, ECS, and ECR.
• Develop Infrastructure as Code (Terraform or AWS CDK) for Redshift, Lambda, and other AWS services.
• Automate environment creation and resource clean-up across development and test environments.
• Integrate AWS data services with BI tools (e.g., Power BI).
• Ensure security, observability, and cost efficiency across cloud resources.

Expertise You'll Bring:

• 5+ years of hands-on AWS experience (ECS, ECR, Lambda, S3, IAM, Redshift).
• Strong Terraform or CloudFormation/CDK experience.
• Proficiency with CI/CD tools (GitHub Actions, Code Pipeline, Jenkins).
• Solid knowledge of Docker and container lifecyc

Job Description:

AWS Cloud Technical Manager

CBTS’ Enterprise Service Delivery Center is expanding our Cloud Services Operation and looking to add a Senior AWS Cloud Architect. This role can be performed remotely from inside the Continental US. Customer security requirements may require a US Citizenship or Green Card for access to sensitive underlying proprietary data. AWS Design experience at the enterprise level and relative industry certifications preferred.

AWS Cloud Architecture Engineering

• Design cloud-based solutions using AWS best practices while integrating with 3rd party vendors to provide a robust and scalable framework for cloud service offerings.
• Provide insight on architecting application designs using AWS Services and integration with other leading cloud providers
• Automating tasks via python scripting is vitally important to this organization – expertise required
• Build and test AWS environments for business requirements and integration with other providers
• Design end to end application and data security model for cloud applications and VPC's.
• Provide migration and integration support for on-prem applications, cloud providers and/or other platforms
• Design and Implement cost optimized solutions for high usage applications and systems
• Develop cloud strategy and solution documentation as well as writing standards for AWS

Candidates ready to join immediately can share their details via email for quick processing.

📌 CCTC | ECTC | Notice Period | Location Preference

nitin.patil@ust.com

Act fast for immediate attention! ⏳📩

Must-Have Skills:

• Strong hands-on experience with AWS services – EC2, RDS, Lambda, S3, CloudFront, IAM, and VPC
• Expertise in Infrastructure as Code (IaC) using Terraform or CloudFormation
• Proficiency in Python, Bash, or PowerShell for automation and scripting
• Proven background in infrastructure design, cloud migration, and optimization

Good-to-Have Skills:

• Experience with Azure or GCP environments
• Exposure to DevOps tools (Jenkins, Git, Docker, Kubernetes)
• Familiarity with monitoring solutions (CloudWatch, Datadog, or Prometheus)
• Knowledge of Security & Compliance frameworks (AWS Well-Architected, IAM best practices)

Candidates ready to join immediately can share their details via email for quick processing.

📌 CCTC | ECTC | Notice Period | Location Preference

nitin.patil@ust.com

Act fast for immediate attention! ⏳📩

Must-Have Skills:

• Strong hands-on experience with AWS services – EC2, RDS, Lambda, S3, CloudFront, IAM, and VPC
• Expertise in Infrastructure as Code (IaC) using Terraform or CloudFormation
• Proficiency in Python, Bash, or PowerShell for automation and scripting
• Proven background in infrastructure design, cloud migration, and optimization

Good-to-Have Skills:

• Experience with Azure or GCP environments
• Exposure to DevOps tools (Jenkins, Git, Docker, Kubernetes)
• Familiarity with monitoring solutions (CloudWatch, Datadog, or Prometheus)
• Knowledge of Security & Compliance frameworks (AWS Well-Architected, IAM best practices)

Candidates ready to join immediately can share their details via email for quick processing.

📌 CCTC | ECTC | Notice Period | Location Preference

nitin.patil@ust.com

Act fast for immediate attention! ⏳📩

Must-Have Skills:

• Strong hands-on experience with AWS services – EC2, RDS, Lambda, S3, CloudFront, IAM, and VPC
• Expertise in Infrastructure as Code (IaC) using Terraform or CloudFormation
• Proficiency in Python, Bash, or PowerShell for automation and scripting
• Proven background in infrastructure design, cloud migration, and optimization

Good-to-Have Skills:

• Experience with Azure or GCP environments
• Exposure to DevOps tools (Jenkins, Git, Docker, Kubernetes)
• Familiarity with monitoring solutions (CloudWatch, Datadog, or Prometheus)
• Knowledge of Security & Compliance frameworks (AWS Well-Architected, IAM best practices)

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent experience
• 5+ years of hands-on experience as an Application Developer or in similar software engineering roles
• Advanced skills in Python; strong SQL and cloud-native development experience (AWS)
• Proven expertise in architecting scalable data pipelines (ETL/ELT) OR experience working with extensive data pipelines
• Advanced proficiency in relational databases (PostgreSQL, DynamoDB)
• Skilled with Docker and AWS cloud services (Lambda, EC2, ECR, ECS, AWS Batch)
• Experience building, integrating, and maintaining REST APIs and data workflows, including working with JSON
• Excellent communication, documentation, and organizational skills
• Demonstrated ability to independently onboard/train new engineers and contribute to knowledge bases
• Strong background in code reviews, monitoring system performance/stability, and proactively refining solutions
• Self-motivation and reliability in remote work settings, including effective time management with distributed teams

Highly Desired Skills

• Front-end development experience or familiarity with Vue.js (nice to have but not critical)
• Prior experience in architecting scalable infrastructure
• Agile software development knowledge (Scrum, Kanban)
<

Position Summary:

Pentair is currently seeking Managed Services CloudOps for IoT projects in the Smart Products & IoT Strategic Innovation Centre in India team. This role is responsible for supporting managed services & application/product Operations for IoT projects.

Duties & Responsibilities:

• Apply best practices and strategies regarding Prod application and infrastructure Maintenance (Provisioning/Alerting/Monitoring etc.)
• Knowledge & Purpose of various env QA, UAT/Staging, Prod.
• Understanding Git, AWS Code Commit.
• Hotfix & Sequential configuration process need to follow up.
• Understanding of Repositories.
• Understanding & use of CI/CD Pipelines.
• AWS CLI use & Implementation.
• Ensure application & AWS Infrastructure proactive monitoring-
• Realtime Monitoring of AWS Services.
• CloudWatch alert configurations.
• Alerts configuration in third-party tool like Newrelic. Datadog, Splunk etc.
• Awareness of Pre & Post Deployment changeset in AWS infrastructure
• Managing cloud environments in accordance with company security guidelines.
• Config Register Management.
• Daily data monitoring of deployed services.
• Apply Best security practices for deployed Infrastructure.
• Suggest regular optimization of infra by upscale & downscale.
• Troubleshoot incid

Roles and Responsibility:

Build:

• Take a defined problem including one or more components and come up with the implementation with minimal guidance
• Understand framework and tool ecosystem to implement components
• Develop high quality code that can lead to rapid delivery
• Provide inputs towards on estimate and schedules for requirements
• Create and maintain detailed technical documentation
• Aware of CI/CD tooling
• Understand version control & branching strategies

Operations

• End-To-End platform support & maintenance - Monitoring and patching.
• Monitoring the cloud infrastructure
• Support production systems, resolve incidents and perform root cause analysis.
• Identifying, develop & automated service improvements & administrative tasks
• Demonstrate a good working knowledge of one relevant operating system
• Implement System Back-up & Restore mechanism
• Setting up automated alerts to spot problems in the applications and infrastructure
• Responsible for installing security patches, initiate/restore backups etc

Others

• Experience working in Agile teams
• Participate in Agile ceremonies
• Good knowledge on DevOps, Automated testing & Continuous delivery model
• Learn and apply technologies, techniques and

Experience - 8-10 years

Location - Bengaluru

Job Summary

As a senior database administrator, you will be responsible for the administration, optimization, and reliability of Liongard's core platform database. You will work closely with development and DevOps teams to ensure database instances are performant, scalable, highly available, and cost-efficient.

The ideal candidate has deep knowledge of PostgreSQL and hands-on expertise in leveraging AWS RDS and/or Aurora for high availability, performance, scalability, and disaster recovery.

Duties and Responsibilities

• Architect, plan, and coordinate with development and DevOps teams to implement improvements to availability, scalability, and performance of Liongard's core platform RDS PostgreSQL database instances in a cost-efficient manner.
• Monitor database performance and troubleshoot high-resource utilization.
• Analyze and optimize database performance by tuning configuration parameters, query plans, and indexes.
• Plan and perform database major version upgrades and data migrations ensuring minimal downtime across production instances.

Required Qualifications

• 8+ years of experience as a database administrator with at least 4 years of experience managing PostgreSQL on AWS RDS or Aurora.
• BS or higher in Computer Science or related field.

Required Skills

• Deep expertis

What you’ll do:

• Design, develop, and maintain Snowflake databases and data warehouse solutions.
• Build and optimize SQL queries for data processing and reporting.
• Experience with Snowflake tools such as Snowpipe, Time Travel, and Cloning.
• Collaborate with cross-functional teams to implement data models and pipelines.
• Ensure data security, quality, and compliance in Snowflake environments.
• Monitor and troubleshoot Snowflake and SQL systems for performance issues.
• Collaborate with stakeholders to finalize the scope of enhancements and development projects, gather detailed requirements
• Provide expertise as a technical resource to solve complex business issues that translate into data integration and database systems designs
• Migrate and modernize existing legacy ETL jobs for Snowflake, ensure data integrity and optimal performance
• Develop and implement a configuration-driven Data Ingestion framework that enables efficient onboarding of new source tables
• Collaborate with cross-functional teams, including business analysts and solution architects, to align data engineering initiatives with business goals
• Drive continuous improvement initiatives, enhance data engineering processes, tools, and frameworks
• Ensure compliance with data quality, security, and privacy standards across all data engineering activities

What we s

**Hybrid mode (Mandatory 3days WFO)

The Opportunity

" The Security Engineer is a highly visible and critical role, collaborating on complex cloud and corporate service edge protection technologies and oversight. With your proven history of technical knowledge of identity and access management systems and services you will be working on a variety of different challenges facing the organization. You will provide both guidance and direct input to help ensure a secure, well-protected environment that complies with all applicable security standards ". - Director, Cyber Security.

What We’re Looking For:

• 2–4 years of hands-on experience with SailPoint (ISC or IIQ).
• At least 2 years of AWS IAM expertise.
• AWS Security Specialty certification strongly preferred.
• Solid understanding of identity protocols and standards (OIDC, SAML, API tokens).
• Proficiency in scripting (Python, PowerShell, Bash).
• Experience working with JSON and API testing tools (e.g., Postman), plus familiarity with Java or Beanshell scripting.

What You’ll Do:

• Implement and enhance identity security tools, including IGA, ITDR, and NHI platforms.
• Automate testing, policy/posture reporting, and deployment of IAM solutions via pipelines & IaC.
• Provide engineeri

Job Summary : We are looking for an experienced AWS Cloud Engineer with 5+ years of hands-on experience in designing, developing, and maintaining scalable cloud-based solutions on Amazon Web Services (AWS). You will work closely with development, operations, and security teams to support our infrastructure and application needs.

Key Responsibilities:

● Design and implement cloud solutions using AWS services (EC2, S3, Lambda, RDS, VPC, CloudWatch, etc.) ● Build and maintain Infrastructure as Code (IaC) using tools such as Terraform or AWS CloudFormation ● Automate deployment pipelines using CI/CD tools (CodePipeline, Jenkins, GitHub Actions, etc.) ● Monitor cloud infrastructure and optimize cost, performance, and security ● Collaborate with cross-functional teams to define infrastructure requirements and support application deployment ● Troubleshoot system and network issues in cloud and hybrid environments ● Ensure best practices in cloud security, performance, and compliance

Required Skills:

5+ years of hands-on experience with AWS services ● Proficiency in scripting languages such as Python, Bash, or PowerShell ● Experience with DevOps tools like Docker, Kubernetes, Jenkins, Git, etc. ● Familiarity with networking concepts such as VPN, VPC, security groups, routing ● Strong understanding of Linux/Unix systems ● Experience with monitoring tools like CloudWatch, Promethe

Roles & Responsibilities

Infrastructure & System Administration:

- Deploy, manage, and optimize EC2 instances across dev, test, and production environments.

- Perform system administration and troubleshooting for Linux and Windows virtual machines.

- Ensure scalability and performance tuning of cloud resources.

Security & Access Control:

-Design and manage IAM roles, policies, and permission boundaries for secure access.

-Configure and secure Amazon S3 buckets with encryption, versioning, lifecycle rules, and bucket policies.

-Manage secure access to infrastructure using StrongDM , including role-based access and audit logging.

Automation & Patch Management:

- Implement patching strategies using AWS Systems Manager Patch Manager.

- Use AWS Systems Manager (SSM) for automation, compliance, and remote VM operations.

Serverless & Event-Driven Architecture

- Develop and maintain AWS Lambda functions for cloud automation tasks.

- Build event-driven workflows using Amazon EventBridge to respond to system events.

Monitoring & Alerts

- Set up and manage SNS notifications for system alerts and service events.

- Monitor system and application health using CloudWatch, CloudTrail, and AWS Config.

Documentation & Collaboration

- Create and

Job Summary:

1.Technical Skills – Necessary

• Cloud: AWS Cloud Infrastructure
• Operating System: Linux OS
• Monitoring Tools: Grafana, Datadog, or similar
• Access Management: Azure AD
• Containerization: Kubernetes (Moderate level knowledge)

2. Technical Skills – Nice to Have

• ITSM Tools: ServiceNow, JIRA
• Database: MySQL (Basic knowledge)

3. Technical Skills – Ok to Train Later

• Protocol: MQTT

4. Day in the Life

• Monitor the health status of applications using Datadog or similar monitoring tools.
• Check incident and service tickets in ServiceNow.
• Perform ticket analysis and root cause identification; seek support from L4 teams for deeper technical details.
• Submit incident reports and impact analysis; update SOPs accordingly.
• Coordinate with Development and DevOps teams for troubleshooting and issue resolution.

5. Event-Specific Responsibilities (Deployments)

• Support platform version upgrades.
• Perform build and deployment activities for frontend and backend components.
• Execute backup and recovery procedures as per established guidelines.

Microland is seeking an accomplished AWS Cloud Solutions Architect (Presales) to join our Cloud & Solutions Office (Practice Team) . This role is at the heart of our cloud transformation business, where you’ll collaborate with solution experts, sales teams, and delivery leaders to craft innovative AWS solutions that win complex enterprise deals.

As part of the Practice team, you will not only bring deep AWS technical expertise but also presales acumen, deal strategy insights, and client advisory skills to influence business decisions and shape cloud transformation journeys.

Key Responsibilities

Presales & Client Engagement

• Drive solutioning for large and complex RFPs/RFIs, proposals, and client pursuits centered on AWS cloud transformation and managed services .
• Act as a trusted advisor to client leadership (including CxO stakeholders), conducting workshops and strategy sessions to align technology with business priorities.
• Create and present value-driven cloud roadmaps and transformation journeys tailored to client needs.

Architecture & Solution Design

• Architect scalable AWS solutions across migration, modernization, automation, DevOps, containers, and security .
• Design hybrid and multi-cloud architectures , integrating AWS with on-premises datacente

Job Summary

Role : AWS Data Architect- Leadership

Experience : 16 - 22 Years

Location: Bengaluru/Mumbai

We are seeking a highly skilled and experienced Technical Leader for our AWS Data Engineering practice. The ideal candidate will be responsible for driving Data Engineering strategy for the practice, architecting scalable enterprise level data solutions and driving the implementation of data projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices.

In this role, you will be responsible for establishing and enhancing the company's Data Engineering Services Practice. You will work closely with senior stakeholders to understand business needs and deliver technical solutions. The role is well-suited for a technically proficient individual looking to thrive in a dynamic and fast-paced environment.

Responsibilities:

Technical Leadership:

● Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements.

● Conduct proof-of-concept projects to explore strategic opportunities and future-oriented data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.

● Make informed architectural decisions with the customer's needs and priori

Do you live and breathe Linux? Do you enjoy building and managing servers in the cloud?

We’re looking for a Linux-focused System Administrator with at least 2 years of experience who can manage AWS infrastructure and keep systems running at peak performance.

What You’ll Be Doing:

• Managing Linux servers on AWS.
• Setting up, monitoring, and troubleshooting cloud-based systems.
• Automating routine tasks with Bash/Python scripts.
• Implementing security measures and backup strategies.
• Collaborating with developers for smooth deployments.

What You Need:

• Minimum 2 years in Linux administration .
• Strong working knowledge of AWS (EC2, S3, IAM, VPC, etc.) .
• Ability to troubleshoot server and network issues.

Bonus Points For:

• AWS certifications
• Experience with containerization tools (Docker, Kubernetes).

Why Join Us?

Competitive salary package

Opportunities to work on cloud-native projects

Flexible and collaborative work culture

We are seeking a highly skilled and experienced Senior Big Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:

• Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data .
• Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway .
• Work extensively with streaming platforms like Kafka, Flink, Spark Streaming .
• Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie .
• Build and maintain data lakes and analytics platforms using AWS Lake Formation .
• Hands-on development using Scala with Spark for distributed data processing.
• Work with NoSQL databases including DynamoDB, HBase , and Hadoop ecosystem tools like MapReduce, Hive, HDFS .
• Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:

• Mandatory: Spark, Scala, AWS, Hadoop
• Big Data Tools: EMR, Glue, Hiv

Key Result Areas and Activities:

• Study existing technology landscape and understand current data integration frameworks and do impact assessment for the requirements.
• Should be able to design complex Big Data use cases using AWS Services and Databricks, under guidance of Architect
• Should be able to assist the architect in reasoning about various architecture choices in terms of cost, performance and durability.
• Should be able to suggest optimizations in existing designs.
• Project documentation adheres to quality guidelines & schedules.
• Works hand in hand with Architect & PM for successful delivery of project and provide estimation, scoping, scheduling assistance.
• Articulate design decisions very clearly with stakeholders.
• Perform Proof-of-Concepts and document all observations before proposing a new solution.
• Conduct design review sessions with other teams and identify scope of improvement.
• Suggests automation to improve existing processes.

Work and Technical Experience:

Must-Have:

• In-depth knowledge of the following AWS services: S3, EC2, EMR, Athena, AWS Glue, Lambda
• Experience with at least one MPP database: AWS Redshift, Snowflake, SingleStore
• Proficiency in Big Data technologies: Apache Spark, Databricks
• Must

We are seeking a highly skilled Site Reliability Engineer - AWS to enhance the reliability, scalability, and security of our cloud infrastructure. The ideal candidate will be responsible for designing, implementing, and maintaining high-availability systems, automating processes, and ensuring seamless operations on AWS. This role requires expertise in DevOps, cloud automation, monitoring, and incident response .

Title : Site Reliability Engineer - AWS

Location : Remote Work

Employment Type: Full-time

Work timings : 24*7 rotational shifts

Responsibilities:

• Design and maintain highly available, scalable, and fault-tolerant AWS infrastructure to ensure system reliability and performance.
• Proactively monitor and troubleshoot system issues, minimizing downtime and optimizing system performance.
• Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK to automate deployments and infrastructure management.
• Implement and optimize continuous integration and deployment (CI/CD) pipelines using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Ensure AWS environments meet security best practices, including IAM policies, network security configurations, and compliance requirements.
• Set up and manage monitoring a

Senior Cloud IAM Engineer (AWS / Okta) – Remote

Vertex Agility | Agile On-Demand Solutions

Are you passionate about identity management and cloud security? Vertex Agility is looking for a Senior Cloud IAM Engineer to join our global team, delivering secure, scalable access solutions for one of the world’s most respected consulting firms.

In this role, you’ll help shape the future of digital identity—building and enhancing IAM capabilities across AWS environments while working with cutting-edge technologies like Okta, SAML, Python, and PowerShell. You’ll collaborate with an international team spanning Europe, the US, and Asia to design and implement secure, automated identity systems that power a global enterprise.

If you have strong AWS and IAM experience, solid programming skills (Java, Python, JavaScript, Typescript or Go), and a passion for cloud security and automation, we’d love to connect!

Why Vertex Agility?

We’re a global consultancy specializing in cloud, DevOps, and IAM solutions — empowering talented engineers to work on high-impact projects with top-tier clients, all while enjoying remote flexibility and an agile work culture.

👉 Interested? Apply or message us to learn more about this fully remote opportunity. m.aparnathi@vertexagility.com

#IAM #CloudEngineer #Okta #AWS #Python #DevSecOps #CloudSecurity #Ide

Job Description – Cloud Engineer (AWS, Azure, Snowflake):

We are looking for a skilled Cloud Engineer to take ownership of the existing multi-cloud infrastructure and data integration setup.

Key Responsibilities:

• Manage and optimize cloud environments across AWS and Azure.

• Handle deployments, CI/CD pipelines in GitHub

• Maintain and monitor Snowflake data warehouse integrations.

• Develop and optimize stored procedures in Snowflake for data processing and analytics workflows.

• Ensure cost optimization, scalability, and high availability of cloud workloads.

Required Skills:

1. Strong hands-on experience in AWS (ECS, Lambda, CloudWatch, RDS, IAM, S3).

2. Working knowledge of Azure (Resource Groups, App Services, Storage, DevOps pipelines).

3. Proficiency in Snowflake for data management, performance tuning, and security.

4. Experience with CI/CD tools (GitHub Actions, Azure DevOps, etc.).

5. Expertise in Snowflake — including writing and debugging stored procedures.

6. Good analytical and troubleshooting skills.

About Tredence:

Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 1,800-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.

As we complete 12 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth.

·Tredence recently closed a USD 175 million Series B , which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base.

·Apart from our geographic footprint in the US, Canada & UK.

·Tredence is a (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance.

· At Tredence, nothing is impossible; we bel

For an international organization in Geneva, Switzerland, we are urgently looking for a Full Remote Senior Data Engineer. The Senior Data Engineer is responsible for the implementation of the set of automated ETL pipelines, implementation of the analytics of the platform operations and importing new data sources and its maintenance. The Analytics Data Platform is a cloud-native application deployed on AWS through CloudFormation templates

using the following resources: Glue, S3, Lambda, Step Function, Airflow, Athena, RDS, Redshift, and Lake Formation.

Candidates need to be willing to work normal office hours in Switzerland. This positions is long-term.

Tasks and Responsibilities:

• Refactor, develop, maintain the web analytics ETL pipeline

Use data pipeline jobs to extract data from various sources including on premise relational databases, APIs,

Use data pipeline jobs to curate extracted raw data

Use data pipeline jobs to apply transformation based on reporting needs

Data source connectors to ingest the data from various data sources

Write the spark SQLs to produce the datasets

Monitor, troubleshoot and remediate the above jobs

• Data Modelling

Maintenance of the existing data models in the data lake and data warehouse

Design & Implement data models for new data sources as required

• Refactor, maintain the CloudFormatio

About the Role

In this role you will be reporting to the Senior Manager – Cloud Operations. The Technical Lead role will be the SME for Cloud Services, AWS, Azure & other related technologies. The role will be responsible for collaborating, developing, and managing Digital infrastructure Cloud solutions for HARMAN.

Your Team

You will be part of a global team distributed across India, USA, Mexico, and Europe - providing 24/7 cloud services.

What You Will Do

• Amazon Web Services Infrastructure Management, including VPCs, IAM, S3, EC2, EBS, and other cloud services.
• Manage multiple, simultaneous, fast-paced projects including infrastructure incident management, installations, patching, upgrades, etc.
• Work with business leaders and teams in executing business related projects primarily with the focus on technical and cloud infrastructure.
• Implementing new services and functionalities as required by business projects.
• Building automations to shorten repetitive tasks and bring consistency.
• Providing opinions on the architecture of Cloud solutions used in the organization.
• Handling Cloud operations tasks related to virtual infrastructure in AWS and Azure cloud
• Task Management of the cloud operations team including Service Requests, Change Requests, etc.
• Address any cloud infrastructure related issues with Project users

JD for AWS Tech Lead profile:

• 8- 10 Years of relevant experience

Location:

• Bengaluru, Kolkata, Gurgaon, Pune, Hyderabad

MUST Technical requirements in detail: ( Datadog and Sail point – Good to know )

• AWS Services: Kubernetes
• EKS Cluster
• Kubectl CLI commands
• EKS Control panel
• Kubernetes API server, ETCD
• Scheduler
• Controller Manager
• EKS Worker nodes and Fargate
• Kubelets, Kube Proxy
• Container Runtime – Container D
• Docker
• Writing a Docker image file
• Working with Docker containers, Docker registry (Docker hub), Docker volume
• Networks
• Networking
• VPC Subnets and Load balancer
• Pod to Pod networking
• Ingress, Egress
• IAM Role
• IAM for EKS cluster nodes
• Storage/ Volume
• EBS, EFS (PV and PVC)
• Simple Storage (S3)
• Container ECR
• Security
• RBAC (Role based access control)
• ACLs
• AWS KMS
• SSL cert rotation /security knowledge
• Monitoring and Logging
• AWS CloudWatch
• Datadog
• Splunk
• Cluster Autoscaler
• Traffic Management Rule
• Secret Management

AWS Infra

• Types of s3 storage classes and its use cases usi

Job Title: Video Streaming Engineer (AWS/OTT)

Location: Remote

Company: Platonix ()

Type: Permanent/Contract

🌟 About Platonix:

Platonix is the world’s first soul-centric wellbeing OTT platform , launched in February 2025. By converging Spirituality, Mind, and Body with AI-driven personalization and rich interactivity, Platonix empowers users to join live virtual events (up to 25,000 participants), access curated content from global wellness leaders, and explore a growing marketplace for holistic services.

Our mission is to merge ancient wisdom with state-of-the-art technology, enabling individuals everywhere to shape their wellbeing journeys while helping creators and coaches monetize and engage their communities.

At Platonix, wellbeing is fundamental. We are building a diverse, global team of visionaries and changemakers to propel our movement and transform digital wellness.

Role – What You’ll Do:

• Architect and optimize robust streaming workflows leveraging AWS Media Services (MediaLive, MediaConvert, MediaPackage, MediaStore, IVS, CloudFront)
• Design high-quality encoding/transcoding for VOD and live streaming
• Implement advanced DRM/content protection (Widevine, FairPlay, PlayReady)
• Integrate features for interactive live streaming: latency tuning, chat overlays, synchronized d

About the Role

We’re looking for a passionate  AI Engineer with strong expertise in  Python development, Generative AI, and AWS cloud technologies .

You’ll design and build cutting-edge  LLM-powered applications that streamline and enhance workflows — particularly within the  Life Sciences domain . This is an exciting opportunity to work on real-world GenAI solutions that combine automation, data, and intelligence.

Key Responsibilities

• Design, develop, and deploy AI-powered solutions using  LangChain ,  LLM APIs , and  Python frameworks .
• Build scalable integrations between  data pipelines, APIs, and AI systems in the cloud.
• Implement  Agentic AI features for autonomous reasoning, task planning, and contextual decision-making.
• Develop and optimize backend services using  Python (FastAPI, Flask, or Django)with  AWS services like Lambda, S3, and EC2.
• Create modular scripts for  data handling, prompt engineering , and  workflow automation .
• Work with  vector databases (Pinecone, FAISS, Chroma) for  retrieval-augmented generation (RAG)pipelines.
• Collaborate with domain experts to convert Life Sciences workflows into intelligent software solutions.
• Ensure high stan

Job Title : Platform Engineer (Full-Stack MERN & AWS Focus)

Department : Engineering

Reports To : Head of Engineering

Summary :

We're seeking a skilled Platform Engineer with a passion for building and optimizing scalable web platforms as well as experience supporting AI/ML development. You'll have a strong foundation in full-stack MERN development (MongoDB, Express, React, Node.js), Python for AI/ML workflows, and a deep understanding of AWS services to provide a robust and performant platform for our products.

Good/Intermediate in Full stack (Backed + Frontend + Cloud)

Strong in Backend + Cloud + Ready to Learn Frontend in Short Time Without Hand Holding

Responsibilities :

Full-Stack Platform Development :

- Design, develop, and maintain core platform components and APIs using the MERN stack.

- Build user-friendly interfaces and web applications with a focus on usability, performance, and scalability.

- Optimize database queries with MongoDB for efficient data management.

- Integrate front-end components (React) seamlessly with back-end services (Express/Node.js).

- Implement robust testing and deployment strategies to ensure quality code releases.

AI/ML Support on AWS :

- Collaborate with data scientists and M

About the Client:

One of the cloud and data analytics company that empowers businesses to unlock insights and drive innovation through modern data solutions.

Role : AWS Data Engineer

Experience : 5 to 10 years

Location : Chennai (Face-to-Face Drive on 15th Nov 2025 - Saturday)

Notice Period : Immediate Joiners / Max. 30 days / Serving Notice only

Skillsets:

• 5 – 10 years of experience in Data Engineering or a related field.
• Strong in Python , PySpark , SQL , and AWS (mandatory).
• Good understanding of ETL processes, distributed systems, and microservices architecture.
• Experience with data modeling, data warehousing, and big data technologies .
• Excellent problem-solving, communication, and teamwork skills.

Apply here or share your CVs to anandhi.v@saaconsulting.co.in or uma.t@saaconsulting.co.in with basic profile details

Experience: 5 - 10 Years 

Required Qualifications

• Experience in Software Development Life Cycle, well-versed in .NET Technology
• Experience in SQL and AWS is mandatory
• Experience in Web API
• Knowledge of or experience in lending domain will be an added advantage
• Deep expertise in 1 or 2 technology stacks and ability to quickly learn new technologies

Interested candidates please share your resume with gopinath.sonaiyan@flyerssoft.com

Blue Spire is looking for talented Sr. AWS Connect Engineers and API Developers to join our growing technology team for our BFSI client's Enterprise AWS Connect migration projects. The candidate will work on next-gen cloud contact center solutions by being a part of solution architecture discussions, leadership, and full-stack development. The ideal candidates will have hands-on experience in AWS Connect migrations (Cisco to AWS), API development and knowledge on modern front-end frameworks.

Key Responsibilities:

• Lead/assist in AWS Connect migrations , from Cisco to AWS .
• Design, implement, and manage AWS Connect solutions integrated with AWS Lambda and other AWS services.
• Provide end-to-end solution ownership including configuration, call flows, and IVR logic.
• Collaborate with product, infrastructure, and business teams to deliver secure and scalable cloud contact center solutions .
• Support ongoing management, monitoring, and optimization of AWS Connect environments.

Required Skills:

AWS Connect Engineering Manager:

• Lead the end-to-end migration from legacy IVR platforms to AWS Connect and integrated chatbot applications.
• Work closely with AWS engineers to design and implement Amazon Connect , Lex ,

We are seeking a highly skilled and experienced AWS Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS, Python, & Spark. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.

Key Responsibilities:

• Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data .
• Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway .
• Work extensively with streaming platforms like Kafka, Flink, Spark Streaming .
• Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie .
• Build and maintain data lakes and analytics platforms using AWS Lake Formation .
• Hands-on development using Scala with Spark for distributed data processing.
• Work with NoSQL databases including DynamoDB, HBase , and Hadoop ecosystem tools like MapReduce, Hive, HDFS .
• Collaborate with cross-functional teams to deliver high-performance data solutions.

Technical Skills Required:

• Mandatory: Spark, AWS, Hadoop, Python
• Big Data Tools: EMR, Glue, Hive, HDFS,

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The team

The team serves as a central pillar driving growth and transformation within Deloitte, spanning several business lines and various technology functions. We are established as a centralized team collaborating across consulting, implementation, and operation to maintain and enhance client value offerings and services. We innovate conventional approaches, leveraging Deloitte technology, differentiated domain expertise, intellectual property, talent, and capacity to embed continuous advantage and deliver enhanced business value.

In this team, our focus is on catering to the unique needs and preferences of clients in the South Asia region. Your role within this dynamic team is essential for establishing networks and relationships across the client stakeholder ecosystem and ensuring service fulfillment. Additionally, you will collaborate closely with other Deloitte leadership and s

Eligible locations in India.

About the Company

Amaris Consulting is an independent technology consulting firm with a global footprint, bringing together diverse talents from various backgrounds to deliver innovative solutions to clients worldwide. We are committed to excellence, collaboration, and consistently exceeding performance expectations across a wide range of industries.

About the Role

We're seeking a skilled Unix & Cloud Data Support Engineer to join the application development team. The ideal candidate will have a strong foundation in Unix system administration, a solid understanding of cloud-based data services (especially AWS), and hands-on experience with ETL pipelines and production support. This role plays a key part in ensuring reliable ingestion, transformation and delivery of data from multiple global sources, supporting production environments, and collaborating with international teams to maintain a critical financial data platform .

Responsibilities

• Administer and support Unix/Linux-based environments hosting data processing and integration services.
• Operate and maintain ETL pipelines, integrating data from multiple systems into centralized databases, data warehouses, or data lakes.
• Perform log analysis, debugging, and root cause investigations in real-time production systems.
• Support services hosted in AWS,

🔹 Position: Technical Lead – PHP, Python, AWS

📍 Location: Kharadi, Pune (Work from Office – 5 Days a Week)

🕛 Shift Timing: 12 PM – 9 PM IST

🕒 Experience: 8 to 12 Years

📅 Immediate Joiners Preferred

About the Role

We are looking for a Technical Lead with strong expertise in PHP, Python, and AWS to lead the design and development of scalable, high-performance web and cloud-native applications. The ideal candidate will be hands-on, technically strong, and passionate about building high-quality software while guiding a talented team of developers.

Key Responsibilities

• Lead the end-to-end architecture, design, and development of full-stack applications using PHP and Python .
• Define and enforce coding standards , best practices , and modern development workflows.
• Collaborate closely with Product, Design, and QA teams to ensure successful, high-quality delivery.
• Mentor and guide junior developers , fostering a culture of technical excellence and learning.
• Implement and manage CI/CD pipelines , infrastructure automation , and
  

  Zywave

  

  3 days ago