Find Your Dream Aws Job in India

Greetings from Tata Consultancy Services

We are hiring AWS Data Engineer!

Experience : 5 - 10 years

Location : Hyderabad, Bangalore, Chennai

Interested professionals kindly apply through the link.

Must Have Skills:

• Extensive working experience on SparkSQL and Databricks -Data Ingestion, Data Quality frameworks
• Advanced working knowledge of analytical programming- Python. SQL is must.
• Exposure to machine learning model implementation in production using MLOps would be added advantage
• Extensive working experience in Data curation and analysis
• Extensive working experience on Big data delivery DevOps lifecycle including CI / CD processes
• Extensive working experience on code refactoring
• Good Knowledge in AWS cloud tech stack
• Good Knowledge on Airlines Industries /E-commerce platform

Referrals are always welcome!

Job Title: Senior MLOps Engineer (AWS Certified)

Experience Required: 6+ Years

Location: Bangalore -Onsite/Hybrid

About the Role

We are looking for a highly experienced Senior MLOps Engineer to lead the design, deployment, and optimization of machine learning systems at scale. This role requires deep expertise in AWS cloud services, MLOps best practices, and production-grade ML system management. The ideal candidate will bridge the gap between data science and engineering by building robust, automated, and scalable ML pipelines.

Key Responsibilities

• Architect and implement scalable, secure, and reliable MLOps frameworks on AWS.
• Design and manage end-to-end ML lifecycle pipelines, including data ingestion, training, validation, deployment, and monitoring.
• Deploy machine learning models into production using AWS Sage Maker and containerized environments.
• Build and maintain CI/CD pipelines for ML workflows using tools such as AWS Code Pipeline, Jenkins, or GitHub Actions.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools (Terraform, AWS CloudFormation).
• Implement monitoring, logging, and alerting solutions using AWS CloudWatch and third-party tools.
• Ensure model performance, scalability, and reliability through continuous evaluation and optimization.
• Collaborate with data scientists, software engineers, and product teams to deliver end-to-end ML solutions.
• Enforce best practices in security, compliance, and cost optimization within AWS environments.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 6+ years of experience in MLOps, DevOps, Machine Learning Engineering, or related roles.
• Strong hands-on experience with AWS services, including Sage Maker, S3, EC2, Lambda, EKS/ECS, and CloudWatch.
• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Solid understanding of CI/CD principles, version control (Git), and automated deployment strategies.
• Experience with workflow orchestration tools (Airflow, Step Functions, or similar).
• Strong knowledge of data pipelines and data engineering concepts.

Preferred Qualifications

• Active AWS Certification(s):
• AWS Certified Machine Learning - Specialty
• AWS Certified DevOps Engineer - Professional
• AWS Certified Solutions Architect - Associate/Professional
• Experience with MLOps platforms such as MLflow, Kubeflow, or SageMaker Pipelines.
• Familiarity with big data technologies like Apache Spark or Hadoop.
• Experience in monitoring ML models for drift, bias, and performance degradation.
• Exposure to Agile/Scrum methodologies.

Job Overview

We are seeking a highly skilled and motivated AWS Backend Developer with 6+ years of experience to join our cloud engineering team. The ideal candidate will have strong hands-on expertise in building scalable, secure, and high-performance backend systems on AWS, leveraging serverless and microservices architectures. This role requires deep technical proficiency, strong problem-solving skills, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities

Backend Development

• Design, develop, and maintain robust backend services using AWS cloud technologies.
• Build scalable RESTful APIs and event-driven services.

Cloud Integration

• Develop, deploy, and manage solutions using AWS Lambda, API Gateway, S3, DynamoDB, SQS, SNS, and other core AWS services.

Security and Compliance

• Implement AWS security best practices including IAM roles and policies, encryption, secure authentication, and secure data handling.

Serverless & Microservices Architecture

• Design and maintain serverless and microservices-based architectures for high availability, scalability, and resilience.

Collaboration

• Work closely with frontend developers, QA, product managers, DevOps engineers, and solution architects to deliver high-quality solutions.

Troubleshooting & Production Support

• Identify, debug, and resolve production issues related to AWS infrastructure and backend services.

Proof-of-Concept (PoC)

• Lead and participate in PoCs to evaluate new AWS services, tools, and backend frameworks.

Skills and Qualifications

Technical Skills

• 6+ years of experience in backend and cloud application development.
• Strong hands-on experience with AWS Lambda, API Gateway, S3, DynamoDB, SQS, SNS, and IAM.
• Proficiency in Node.js, TypeScript/JavaScript, and Python.
• Experience with Infrastructure as Code (AWS CDK / CloudFormation / Terraform).
• Strong understanding of serverless and microservices architectures.
• Experience with CI/CD pipelines using AWS and DevOps tools.
• Solid understanding of AWS security best practices and cloud governance.

Problem Solving

• Strong analytical, debugging, and system-level troubleshooting skills.

Communication

• Excellent communication skills with the ability to collaborate effectively in cross-functional teams.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• AWS certification (Associate or Professional level) is a strong plus.
• Experience with containerization and orchestration (Docker, ECS, EKS, Kubernetes).
• Exposure to system design, scalable architectures, and high-availability systems.
• Experience working in enterprise-scale cloud environments.

Hiring: AWS Sales Consultant Driving Enterprise Cloud Growth

Location New Delhi and Mumbai

We are looking for experienced cloud sales professionals who have a strong track record of managing enterprise accounts and closing high-value AWS deals.

This role is ideal for someone currently operating at a Manager / Senior Manager level, who can not only drive revenue but also influence client strategy at a CXO level.

Key Focus Areas:

• Owning and closing complex AWS cloud deals end-to-end

• Building and managing CXO-level relationships

• Driving strategic growth across enterprise accounts

• Collaborating with AWS partners and solution teams for high-impact proposals

• Leading negotiations and contributing to business expansion

What Makes This Role Interesting:

• High-visibility role with direct impact on business growth

• Opportunity to work on large, strategic cloud transformations

• Strong collaboration with AWS partner ecosystem

• Scope to influence and shape go-to-market strategies

Ideal Profile:

• 4-8 years in Cloud / IT Sales (AWS preferred)

• Experience in enterprise sales and large deal closures

• Exposure to AWS partner ecosystem (Advanced/Premier Tier)

• Strong stakeholder management and consultative selling skills

Preferred Qualifications:

• AWS Certification (Associate/Professional level preferred ).

• Background in enterprise IT, cloud consulting, or digital transformation sales.

• Experience across industries such as BFSI, Manufacturing, Retail, or IT/ITES.

AWS Data Architect

Greetings from TCS !

TCS has been a great pioneer in feeding the fire of young Techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together. Your role is of key importance, as it lays down the foundation for the entire project.

Make sure you have a valid EP number before interview.

To create an EP Number, please visit

Kindly complete the registration if you have not done it yet.

Position: AWS Data Architect

Experience: 10 to 15 years

Location: Bangalore, Chennai, Hyderabad, Pune, Kochi, Bhubaneshwar, Kolkata

Job Description

Key Skills

AWS Analytics Services, Python, Spark, Hive

Must have Skills

• Designing, building, and maintaining scalable and reliable data lake solution using AWS Analytics services (EMR, Athena, Glue, DynamoDB, SQS, Firehose, Redshift, lambda, SNS, event bridge, s3, etc) and other tech stack like Python, Spark, hive.
• Create / update solution design and present it to Technical Design Authority to get design approval.
• Have good knowledge of AWS networking services.
• Responsible for delivering cloud based big Data and Analytical Solutions through designing robust, secure, and optimized AWS architectures and ability to be hands-on delivering the target solution.
• Work with customers and leading internal development team on delivering data analytics solution on cloud.
• Propose solution for performance and cost optimization of existing solutions.
• Explore new technologies, perform POC and present it to customers for implementation.
• Provide support to development team in implementation of solution.

Good to have (Knowledge)

• Be UpToDate with latest AWS releases in analytics services and other services.
• Check the usability and benefit of newly released services and features in existing solution or new solution.

TCS Eligibility Criteria: BE/B.tech/MCA/M.Sc./MS with minimum 3 years of relevant IT-experience post

Qualification. Only Full-Time courses would be considered.

Candidates who have attended TCS interview in the last 1 months need not apply.

Referrals are always welcome

Kindly don't apply if already attended interview in last 1 months.

Thanks & Regards

• Amrutha

Job Title - AWS Big Data Engineer

Skills - AWS, PySpark & Python

Location - Greater Noida, Pune & Hyderabad

Experience - 5 - 10 years

We at Coforge are hiring AWS Big Data Engineers with the following skillset:

• Design and implement robust, scalable, and high performance data pipelines on AWS.
• Develop, manage, and maintain ETL workflows using Apache Airflow.
• Write efficient, optimized Python code for data processing and transformation.
• Use SQL to query, manipulate, and analyze large scale datasets.
• Collaborate with cross functional teams, including data scientists, analysts, and business stakeholders, to deliver data solutions.
• Ensure data quality, integrity, security, and governance across data platforms.
• Monitor data pipeline performance, troubleshoot issues, and ensure reliability and uptime.

Mandatory Skills (Must Have)

• Extensive hands on experience with AWS (minimum 4 years), including services such as S3, Lambda, Glue, Redshift, EMR, and related offerings.
• Strong programming skills in Scala for data manipulation and automation.
• Advanced SQL expertise, including complex querying and performance optimization.

Preferred Qualifications

• Experience with big data technologies such as Apache Spark and Hadoop.
• Familiarity with CI/CD pipelines and DevOps practices.
• Solid understanding of data warehousing concepts and tools.

Share your resume over

About the Company:

TEKsystems Global Services specializes in technology services and consulting. We develop and execute cloud, data and customer experience solutions that help businesses master the momentum of technology.

About the Role:

The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and architectures that support our data-driven initiatives. This role requires a strong understanding of cloud technologies and data engineering best practices.

Responsibilities:

• Seeking an AWS Data Engineer with 7+ years of experience and proven team lead exposure.
• AWS Glue, Amazon EMR, Amazon Redshift, Pyspark, Python, SQL
• Cloud and AWS Expertise: In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena.
• Strong understanding of cloud architecture and best practices for high availability and fault tolerance.
• Data Engineering Concepts: Expertise in ETL/ELT processes, data modeling, and data warehousing.
• Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark.
• Proficiency in handling structured and unstructured data.
• Programming and Scripting: Proficiency in Python, Pyspark and SQL for data manipulation and pipeline development.
• Expertise in working with data warehousing solutions like Redshift.

Qualifications:

Education details: Bachelor's degree in Computer Science, Information Technology, or a related field.

Required Skills:

• AWS services knowledge
• ETL/ELT processes
• Data modeling and warehousing
• Proficiency in Python, Pyspark, and SQL

Preferred Skills:

• Experience with Apache Hadoop and Spark
• Knowledge of data lakes and big data processing frameworks

Hiring: AWS Sales Consultant Driving Enterprise Cloud Growth

Location New Delhi and Mumbai

We are looking for experienced cloud sales professionals who have a strong track record of managing enterprise accounts and closing high-value AWS deals.

This role is ideal for someone currently operating at a Manager / Senior Manager level, who can not only drive revenue but also influence client strategy at a CXO level.

Key Focus Areas:

• Owning and closing complex AWS cloud deals end-to-end

• Building and managing CXO-level relationships

• Driving strategic growth across enterprise accounts

• Collaborating with AWS partners and solution teams for high-impact proposals

• Leading negotiations and contributing to business expansion

What Makes This Role Interesting:

• High-visibility role with direct impact on business growth

• Opportunity to work on large, strategic cloud transformations

• Strong collaboration with AWS partner ecosystem

• Scope to influence and shape go-to-market strategies

Ideal Profile:

• 4-8 years in Cloud / IT Sales (AWS preferred)

• Experience in enterprise sales and large deal closures

• Exposure to AWS partner ecosystem (Advanced/Premier Tier)

• Strong stakeholder management and consultative selling skills

Preferred Qualifications:

• AWS Certification (Associate/Professional level preferred ).

• Background in enterprise IT, cloud consulting, or digital transformation sales.

• Experience across industries such as BFSI, Manufacturing, Retail, or IT/ITES.

Job Role - Technical Architect - ML

Location - Mumbai/Bangalore

Must have skills:

• Experience: 12+ years
• Well-versed with AWS Cloud and AWS Machine Learning capabilities and offerings: Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
• Hands-on experience of working with Sagemaker studio, canvas, and data wrangler.
• Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
• Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
• Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
• Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Understanding of LLM architectures ( LLaMA, Claude, Amazon Nova etc.), with a focus on their training and inference workflows
• Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
• Experience with prompt engineering and optimization techniques to improve LLM outputs for specific business use cases
• Good Understanding of open-source LLM frameworks and libraries (e.g., Hugging Face Transformers, LangChain, LlamaIndex, Haystack)
• Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, predictive analysis
• Experience in leveraging AWS Lambda/API Gateway services for AI/ML model consumption and inferences. Hands-on experience with Dev Ops(CICD) & ML Ops services/tools.
• Must have led teams of ML Engineers in end-to-end production deployment for projects.
• Strong understanding of data privacy, compliance, and responsible AI practices while building and deploying LLM solutions in production environments.

Good to have skills:

• Distributed training for deep learning using frameworks like PyTorch, TensorFlow
• Advanced image processing using OpenCV, Feature Detection and Matching using SIRF/SURF/FAST/BRIEF
• Experience in use cases pertaining to Natural Language Processing.
• Advanced recommender systems using model based techniques like KNN, Matrix Factorization, SVD, etc and and/or Deep Learning methods
• Cloud Certification - Machine Learning and/or Cloud Architect

Responsibilities:

• Act as a trusted technical advisor for customers, addressing complex technical challenges pertaining to AI/ML Opportunities
• Provide expertise in the architecture, design, and development of solutions within AWS
• Collaborate with internal teams and external stakeholders to design optimized solutions on AWS Cloud
• Support Sales and Go-To-Market teams by contributing technical insights for building proposals and Statements of Work (SOWs)
• Work with the pre-sales team on RFP, RFIs and help them solutioning for different AI/ML use cases
• Strong analytical skills to evaluate scenarios and use cases, offering potential solutions for AI/ML implementations
• Stay up-to-date with the latest advancements in Generative AI and Machine Learning

Other:

• Demonstrated problem solving, communication, and organizational skills, a positive attitude, and the proven ability to negotiate and influence others to obtain desired results.
• Ability to speak in business terms, as well as the ability to effectively communicate both internally and externally.
• Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
• Ability to communicate technical roadmap, challenges, and mitigation.

We are hiring For AWS Data Engineer

Exp- 6plus yrs

Loaction- bangalore / pune

jd-

Must-Have

(Ideally should not be more than 3-5)

• Design, build, and maintain data transformation pipelines using AWS services (Lambda Functions, Step Functions ) in Python.
• Manage effeciently large dataset.
• Manage SQL database - Postgresql.
• Implement and maintain complex data calculation formula.
• Open to collaborate with Software Engineers.
• Participate in code reviews, design discussions, and software planning.
• Contribute to automation, testing, and deployment processes.

Good-to-Have

• AWS Certification

TCS Hiring Senior Data Engineer (AWS) Virtual Drive 28-Mar-26

Candidates with less experience and 6 years of experience need not apply

Must have : Senior Data Engineer (AWS)

Experience only 6-8 Yrs

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- 6 to 8yrs

Bangalore / Chennai / Hyderabad

Current CTC

Expected CTC

Notice period:

Whether worked with TCS - Y/N

Prepare Discovery (Business Requirements), HLD(High Level Technical Design), LLD(Low Level Technical Design)

Get the review completed with Product Owner, Informa Integration, EIP Architects

Mentor AWS Senior and Junior Developers

Very good understanding on Enterprise Integration Framework(Informa Boiler Plate)

Drive the Unity Processes for Standardization

Provide Solutions how to optimize Platform Usage, Re-Use Implemented Solutions, Reduce Implementation Time.

Provide suggestions, how to incorporate better Security, Productivity, Performance, Re-usability, Automation, provide Different Options & give Recommendations

About TrueID

TrueID is at the forefront of digital transformation in biometric-based identity management, delivering secure and reliable digital identity solutions for fintech, banking, and e-commerce. Our team members work on impactful digital identity projects that support large enterprises and international clients. We provide an environment that encourages innovation and practical problem-solving, giving engineers meaningful opportunities to contribute to real-world identity solutions.

All TrueID employees gain exposure to overseas projects, collaborating with diverse teams and customers and enhancing their professional development. TrueID's focus on building robust, cloud-based identity systems has positioned the company as a reliable partner in the digital identity ecosystem.

Our platforms and services run on AWS, and as we expand our product and service portfolio, we need to ensure that our cloud environment remains well-architected, scalable, secure, and aligned with industry best practices

Job Description:

We are seeking a seasoned AWS Cloud Security Engineer with 8+ Years strong experience in designing, implementing, and governing AWS-native security in single and multi-account environments.

Job Location: Hyderabad, Work from TrueID office.

Required Skills & Experience:

• AWS IAM & Identity Security: IAM roles, policies, permission boundaries, MFA, IAM Identity Center (SSO)
• AWS Organizations & Governance: Multi-account strategy, SCPs, Control Tower, landing zones
• Security Monitoring & Detection: AWS Security Hub, GuardDuty, CloudTrail, AWS Config
• Network Security: VPC security architecture, Security Groups, NACLs, AWS Network Firewall, WAF, Shield
• Logging & Monitoring: Centralized logging, CloudWatch, log retention, audit trails
• Data Security: KMS, encryption at rest & in transit, Secrets Manager, Parameter Store
• Compliance & Risk: Security best practices, compliance frameworks, security assessments, incident response
• Automation & DevSecOps: Lambda, CloudFormation/Terraform, security automation and remediation
• Operations: Security incident handling, vulnerability management, continuous improvement

Nice to Have:

• Experience with regulated or enterprise environments
• AWS security certifications (Security Specialty, Solutions Architect, etc.)

we are looking for immediate joiners, interested candidates can share your resume to

TCS Hiring AWS DevOps with Terraform.

Candidates with less experience and 5 years of experience need not apply

Must have : Digital : Amazon Web Service(AWS) Cloud Computing

Experience only 6 to 8yrs

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- 6 to 8yrs

Location: TCS - Chennai / TCS - Bangalore / TCS - Hyderabad / TCS - Pune / TCS - Kolkata

Current CTC

Expected CTC

Notice period:

Whether worked with TCS - Y/N

6 to 8yrs

Developers with practical AWS knowledge to work in a BT project to build a brand new IoT Device Management Platform using AWS. The role requires working closely with wider BT/TCS technical architects and AWS professional service teams to develop/test and deliver the AWS services outlined in the architecture and designs.

• "Practical" knowledge and development experience with the below mentioned AWS Services
• IoT Core, Device Defender, Device Management, API Gateway, Lambda, Dynamo DB, Timestream DB, RDS, Elastic Load Balancer, Route 53, SQS, Elastic ache, Fargate, and Kinesis Streams.
• Must have good coding skills in JAVA, Python or Angular to implement the AWS services mentioned above.
• Excellent skills in AWS VPC Networking, should have experience in setting up a VPC and all its networking components for a large distributed 3 tier architecture
• Strong knowledge of security best practices to be implemented using AWS Services (e.g. using IAM Roles, KMS, WAF, Guard Duty, etc.).
• Experience with monitoring and auditing solutions such as Cloud Watch and Cloud Trail respectively.
• Ability to troubleshoot problems with the implementations and resolve them.
• Experience in setting up CI/CD pipeline using AWS CI/CD services
• Knowledge of writing infrastructure as code (IaaC) using Cloud Formation or Terraform.
• Experience with building or maintaining cloud-native applications.
• AWS certified with at least one AWS professional certification (AWS Solution Architect or Developer)

About the Company: Apexon is a digital-first technology services firm specialising in accelerating business transformation and delivering human-centric digital experiences. We meet customers at every stage of the digital lifecycle and help them outpace the competition with speed and innovation. We bring together core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, along with deep expertise in BFSI, healthcare, and life sciences, to help businesses seize the opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients' toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centres) across four continents.

About the Role: Senior AI Architect - Agentic AI & Generative AI (LLM, RAG, AWS)

Experience: 10-15 Years

Employment Type: Full-Time

Why This Role Stands Out: This is not a traditional AI/ML role. You will lead the architecture of enterprise-scale Agentic AI platforms, designing autonomous and semi-autonomous AI systems powered by LLMs, RAG pipelines, and multi-agent frameworks. This role offers an opportunity to work at the forefront of next-generation AI systems, shaping how enterprises adopt Agentic AI and Generative AI at scale.

Responsibilities:

AI Architecture & Platform Design

• Define end-to-end architecture for Agentic AI and GenAI platforms
• Design multi-agent AI systems using LLMs, RAG, and orchestration frameworks
• Architect scalable, secure, cloud-native AI solutions on AWS

AI Solution Engineering

• Build AI platforms using:
• Amazon Bedrock
• Amazon SageMaker
• AWS Lambda, Step Functions, S3
• Design LLM applications, knowledge retrieval pipelines, and AI agents
• Integrate AI solutions into enterprise ecosystems

Technical Leadership

• Define AI architecture standards, governance, and best practices
• Mentor AI/ML engineers and review system designs
• Ensure performance, scalability, and reliability of AI systems

Strategy & Stakeholder Engagement

• Partner with product, engineering, and business teams on AI strategy
• Drive solutioning and pre-sales discussions for AI initiatives
• Translate business problems into scalable AI architectures

Qualifications:

• 10-15 years of experience in software / platform engineering
• 5+ years in AI/ML architecture or advanced AI engineering roles

Required Skills:

Strong expertise in:

• Generative AI (GenAI) architectures
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI / multi-agent systems

Cloud & Platform Expertise

• Hands-on experience with AWS AI ecosystem:
• Amazon Bedrock
• Amazon SageMaker
• AWS Lambda, Step Functions, S3

AI Frameworks & Engineering Experience with:

• LangChain / LangGraph
• CrewAI or similar orchestration frameworks

Understanding of MLOps & AI lifecycle

• AI governance & model monitoring
• Distributed systems & scalability

Ideal Candidate Profile

• An architect mindset with strong system design expertise
• Experience building enterprise AI platforms (not just PoCs)
• Comfortable working in fast-evolving GenAI environments
• Strong stakeholder management and communication skills

Pay range and compensation package: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer:

• Group Health Insurance covering family of 4
• Term Insurance and Accident Insurance
• Paid Holidays & Earned Leaves
• Paid Parental Leave
• Learning & Career Development
• Employee Wellness

Equal Opportunity Statement: Did you know that Apexon has been Certified by Great Place To Work , the global authority on workplace culture, in each of the four regions in which it operates: USA (for the seventh time in 2026), India (for the tenth consecutive time in 2026), the UK (for the fourth time in 2026) and Mexico (for the second time in 2026). Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here.

Our Commitment to Environment: Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives

Job Title: Senior AWS Lead

Experience Level: 10-12 Years

Location: Hyderabad/Indore

Job Type: Full-time .

Position Summary

We are seeking a highly experienced AWS Data Engineering Lead (10-12 years) to lead the design and delivery of enterprise-scale data platforms. This role requires a unique blend of deep technical expertise across AWS data services and strong functional knowledge of SAP Data Models (ECC, S/4HANA) alongside traditional and modern data sources like MySQL, Oracle, REST/OData APIs, and RDS. You will be responsible for architecting end-to-end Data Lakehouse solutions that consolidate disparate data sources into a unified, high-performance analytics platform.

Key Responsibilities

• Multi-Source Data Architecture: Design and implement scalable AWS Data Lake and Lakehouse architectures that integrate SAP (ERP, BW) and non-SAP sources (MySQL, Oracle, RDS, On-premise).
• SAP Functional Integration: Leverage deep functional understanding of SAP modules (FICO, SD, MM) and table structures (e.g., KNA1, MARA, BSEG) to design efficient extraction strategies using SAP ODP, OData APIs, SLT, and BW extractors.
• Modern API Ingestion: Architect and build ingestion frameworks for RESTful and OData APIs using AWS Glue, Lambda, and Amazon API Gateway.
• Enterprise ETL/ELT: Lead the development of robust data pipelines using AWS Glue (PySpark), Amazon EMR, and AWS Step Functions, ensuring optimized CDC (Change Data Capture) from RDS, Oracle, and MySQL sources.
• Data Modeling & Warehousing: Define conceptual, logical, and physical data models for Amazon Redshift and S3-based storage using open table formats like Apache Iceberg.
• Performance & Cost Engineering: Optimize environments for large-scale data processing, focusing on query performance and cost-efficiency using AWS Lake Formation.
• Stakeholder Communication: Act as the primary technical liaison between business functional owners, SAP consultants, and data engineering teams to translate business needs into technical specifications.

Technical Requirements

• AWS Core: Mastery of S3, Glue, Redshift, Lambda, Athena, Airflow, MWAA, EMR, Kinesis, Lake Formation, and RDS.
• SAP Specialization: Proven experience with SAP S/4HANA or ECC data extraction; knowledge of SAP BTP or Datasphere is a significant plus.
• Database Expertise: Strong hands-on experience with MySQL, Oracle, and AWS Aurora/RDS.
• API & Integration: Proficiency in consuming and architecting REST APIs and OData services for data ingestion.
• Languages: Expert-level Python/PySpark and Advanced SQL.

Preferred Qualifications

• 10-12 years of IT experience, with 5+ years specifically in AWS Data Architecture.
• AWS Certified Data Engineer - Associate or AWS Certified Solutions Architect - Professional.
• Excellent verbal and written communication for high-level stakeholder management.
• Experience in Agile/DevOps methodologies for data engineering.

Greetings from TCS!

We are looking for - AWS Data Engineer

Experience: 5 to 10 Years

Location: Kolkata, Bhubaneshwar, Hyderabad, Bangalore

Desired Competencies (Technical/Behavioral Competency)-

1. Should have AWS Cloud Skills in Step Function, Glue, E2 Proficient as a Redshift developer, Lambda Should have hands on experience in creating AWS Master, Parent, Child step function to orchestrate AWS Glue job and stored procedures

2. Should be proficient in Python and intermediate knowledge in SQL. Should have worked on projects that involve storing data in Dynamo DB

3. Need to have experience in designing step function orchestration E2E as per business requirements. Also should be able to create AWS Cloudwatch rule for the AWS Step Function and Lambda function to trigger as per business requirement.

Good-to-Have -

1. Certification in AWS

2. Capable of working independently, handling multiple projects at a time, able to lead the team with good analytical, communication and organization skills

Responsibility of / Expectations from the Role -

1 Architect, plan, and implement Azure cloud infrastructure solutions that balance simplicity, standards, scalability, extensibility, supportability, and integrity

2 Provide guidance on core components such as backup, recovery, supervising services within Azure and work with the infrastructure teams with expertise in their respective areas for design, implementation and integration into with on-prem private cloud

3 Lead migration teams and stake holder teams during migration efforts and post validation efforts.

4 Coordinate activities of applications teams, security, networking, infrastructure and ongoing operational support

5 Assist in RFP process, support POCs for existing engagements and new discussions

Skills Required: AWS Glue, Amazon EMR, Amazon Redshift, Amazon Aurora, Amazon S3, Pyspark, Python, SQL

Cloud and AWS Expertise:

In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena.

Strong understanding of cloud architecture and best practices for high availability and fault tolerance.

Data Engineering Concepts:

Expertise in ETL/ELT processes, data modeling, and data warehousing.

Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark.

Proficiency in handling structured and unstructured data.

Programming and Scripting:

Proficiency in Python, Pyspark and SQLfor data manipulation and pipeline development.

Expertise in working with data warehousing solutions like Redshift.

Job Description:

We are looking for a skilled Data Engineer with strong expertise in AWS, Scala, and Apache Spark to design, build, and optimize scalable data pipelines and data processing systems.

Key Responsibilities:

• Design and develop scalable data pipelines using Scala and Apache Spark
• Work with AWS services like S3, Glue, Lambda, EMR, Redshift, etc.
• Build and maintain ETL/ELT workflows for large-scale data processing
• Ensure data quality, integrity, and performance optimization
• Collaborate with cross-functional teams including Data Analysts and Data Scientists
• Implement best practices for data governance and security

Required Skills:

• Strong experience in Scala and Apache Spark
• Hands-on experience with AWS cloud platform
• Good understanding of distributed data processing and big data architecture
• Experience with ETL tools and data warehousing concepts
• Knowledge of SQL and data modeling
• Familiarity with CI/CD pipelines is a plus

Eligibility Criteria:

• 5–10 years of relevant experience
• Must have: AWS, Scala, Spark

The Opportunity

"FICO is seeking an AWS Cloud Engineer who thrives working in a fast-paced state of the art Cloud environment. This position will be heavily involved with the migration of our existing products, as well as the development of new products within our cloud platform” – VP, Cloud Engineering

What You’ll Contribute

• Design, maintain and expand our infrastructure (maintained as IaaC).
• Oversee systems and resources for alerting, logging, backups, disaster recovery, and monitoring.
• Work jointly with other software engineering teams in building fault-tolerant & resilient services that are in line with our infrastructure's best practices.
• Improve the performance and durability of our CI/CD pipelines.
• Think with security in your mind all the time.
• You may be asked to be on-call to assist with engineering projects.

What We’re Seeking

• Bachelor’s degree in Computer Science or related field or relevant experience.
• Ability to design and implement highly automated and holistic solutions.
• Act as a tech lead for the team and possess a strong ability to lead by example and drive projects.
• Hands on experience with a cloud-provider (preferably AWS) by maintaining or even deploying production applications infrastructure.
• Significant experience with distributed

AWS PySpark Redshift Data Engineer

Contract

India (Offshore)

Technet IT has partnered with a global technology services organisation supporting a portfolio of enterprise life sciences clients (large-scale, multi-national environment) to hire an experienced AWS PySpark Redshift Data Engineer on a long-term contract basis.

This is an opportunity to work across multiple data programmes within life sciences, contributing to scalable, cloud-based data platforms in a highly regulated, data-driven environment. The role is suited to engineers who are confident operating across AWS ecosystems and delivering high-quality data solutions in enterprise settings.

Key responsibilities:

• Design, build and optimise data pipelines using AWS and PySpark
• Develop and maintain data workflows within Redshift for ingestion, transformation and reporting
• Support ongoing enhancement of cloud-based data platforms
• Collaborate with cross-functional teams across multiple life sciences accounts
• Troubleshoot and resolve data issues, ensuring performance and reliability

Required experience:

• 5+ years in data engineering
• Strong hands-on experience with AWS and PySpark
• Proven experience working with Redshift
• Solid understanding of ETL processes and modern cloud data architectures
• Ability to work in stakeholder-facing

Job Title : AWS Principal Network Architect (Terraform + ADO Automation)

Location - India , Remote

Client : Digital Bank

Job Overview :

We are looking for an accomplished AWS Principal Network Architect with deep expertise in Terraform , Azure DevOps (ADO) , and enterprise‑scale AWS networking .

This role will lead to the redesign and stabilization of our end‑to‑end automation pipelines, with a specific focus on eliminating Terraform drift and ensuring fully automated, reliable AWS automation for account provisioning or decommission .

Serve as the technical authority for cloud networking and IaC automation, driving architectural improvements that increase consistency, compliance, and operational efficiency across our AWS organization.

Required Skills & Experience

Technical Expertise

• 10+ years in network architecture with deep AWS networking experience.
• Expert‑level Terraform skills, including module design, state management, and drift remediation.
• Strong experience building and maintaining ADO pipelines for IaC automation.
• Hands‑on experience with AWS multi‑account environments (Control Tower, Organizations, SCPs).
• Strong understanding of routing, BGP, VPN, Direct Connect

Job Title: Senior MLOps Engineer (AWS Certified)

Experience Required: 6+ Years

Location: Bangalore -Onsite/Hybrid

About the Role

We are looking for a highly experienced Senior MLOps Engineer to lead the design, deployment, and optimization of machine learning systems at scale. This role requires deep expertise in AWS cloud services , MLOps best practices, and production-grade ML system management. The ideal candidate will bridge the gap between data science and engineering by building robust, automated, and scalable ML pipelines.

Key Responsibilities

• Architect and implement scalable, secure, and reliable MLOps frameworks on AWS.
• Design and manage end-to-end ML lifecycle pipelines , including data ingestion, training, validation, deployment, and monitoring.
• Deploy machine learning models into production using AWS Sage Maker and containerized environments.
• Build and maintain CI/CD pipelines for ML workflows using tools such as AWS Code Pipeline, Jenkins, or GitHub Actions.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools (Terraform, AWS CloudFormation).
• Implement monitoring, logging, and alerting solutions using AWS C

Job Title: Senior Engineer(Python, AWS)

Location: Hyderabad, India

Employment Type: Full-Time

Experience Level: Senior

ABOUT THE ROLE

We are seeking an experienced Senior Engineer with strong backend development expertise and solid AWS cloud services knowledge. You will develop and maintain critical components of our payments platform – a scalable, secure, and high-performance system that powers payment operations. This role involves owning technical execution on key initiatives, collaborating with cross-functional teams, and supporting junior engineers' growth through mentorship and technical guidance.

• Strong Technical Executor: Ability to own technical work and drive features to completion
• Team Collaborator: Works well across teams and communicates clearly
• Quality Focused: Passionate about clean code, testing, and reliability
• Mentoring Mindset: Enjoys helping junior engineers grow and develop
• Problem Solver: Approaches challenges methodically with attention to detail
• Continuous Learner: Stays current with backend and cloud technologies

Key Responsibilities:

Development & Architecture

• Develop scalable backend services using Python and AWS-native technologies (Lambdas, Step Functions) and Confluent Kafka messagi

Job Title: Senior AWS Lead

Experience Level: 10–12 Years

Location: Hyderabad/Indore

Job Type: Full-time .

Position Summary

We are seeking a highly experienced AWS Data Engineering Lead (10-12 years) to lead the design and delivery of enterprise-scale data platforms. This role requires a unique blend of deep technical expertise across AWS data services and strong functional knowledge of SAP Data Models (ECC, S/4HANA) alongside traditional and modern data sources like MySQL, Oracle, REST/OData APIs, and RDS . You will be responsible for architecting end-to-end Data Lakehouse solutions that consolidate disparate data sources into a unified, high-performance analytics platform.

Key Responsibilities

• Multi-Source Data Architecture: Design and implement scalable AWS Data Lake and Lakehouse architectures that integrate SAP (ERP, BW) and non-SAP sources (MySQL, Oracle, RDS, On-premise).
• SAP Functional Integration: Leverage deep functional understanding of SAP modules (FICO, SD, MM) and table structures (e.g., KNA1, MARA, BSEG) to design efficient extraction strategies using SAP ODP, OData APIs, SLT, and BW extractors .
• Modern API Ingestion: Architect and build ingestion frameworks for RESTful and OData APIs using AWS Glue, Lambda, and Amazon API Gateway.
• Enterprise ETL/

Key Responsibilities

• Own and drive solution architecture across Integration & API platforms to ensure scalable , secure , high‑performing digital solutions.
• Design and evolve architecture within the PCM domain for integrations on MuleSoft ESB and AWS‑based API services .
• Translate business requirements into robust , scalable , cost‑efficient architectural designs.
• Act as the technical authority for Integration and API domains, guiding development teams and ensuring architectural consistency.
• Define and enforce API standards , integration patterns , and architectural best practices .
• Provide hands‑on support for implementation , troubleshooting , and solution delivery.
• Collaborate with product owners , platform teams , developers, and enterprise architects .
• Maintain documentation for architecture decisions , solution designs , and technical standards.
• Lead the Shape Group (20%) : hiring, onboarding, mentoring, performance discussions, and capability building .

Required Profile

• Degree in Computer Science , IT , or a related field.
• 10-15 years in software engineer

Role: Senior / Lead Data Engineer (AWS, Purview)

Location: All EXL Locations (Gurgaon/Noida/Pune/Hyderabad/Bangalore/Chennai)

Work Mode: Hybrid

About the Role:

Seeking for a highly skilled Senior Engineer with deep expertise in AWS, Microsoft Fabric, and Microsoft Purview. The ideal candidate will drive architecture, development, and implementation of scalable cloud and data governance solutions, while providing technical leadership to the engineering team.

Key Responsibilities:

• Lead the design, development, and deployment of scalable cloud solutions on AWS.
• Architect and implement enterprise data solutions using Microsoft Fabric, including analytics, data pipelines, and integrated lakehouse scenarios.
• Implement and manage data governance, cataloging, and compliance using Microsoft Purview.
• Define technical standards, best practices, and architecture patterns across cloud and data projects.
• Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
• Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
• Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

Required Skills & Qualifications:

• 6+ years of hands-on experience in software/cloud engineerin

Role: Senior / Lead Data Engineer (AWS, Purview)

Location: All EXL Locations (Gurgaon/Noida/Pune/Hyderabad/Bangalore/Chennai)

Work Mode: Hybrid

About the Role:

Seeking for a highly skilled Senior Engineer with deep expertise in AWS, Microsoft Fabric, and Microsoft Purview. The ideal candidate will drive architecture, development, and implementation of scalable cloud and data governance solutions, while providing technical leadership to the engineering team.

Key Responsibilities:

• Lead the design, development, and deployment of scalable cloud solutions on AWS.
• Architect and implement enterprise data solutions using Microsoft Fabric, including analytics, data pipelines, and integrated lakehouse scenarios.
• Implement and manage data governance, cataloging, and compliance using Microsoft Purview.
• Define technical standards, best practices, and architecture patterns across cloud and data projects.
• Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
• Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
• Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

Required Skills & Qualifications:

• 6+ years of hands-on experience in software/cloud engineerin

Role: Senior / Lead Data Engineer (AWS, Purview)

Location: All EXL Locations (Gurgaon/Noida/Pune/Hyderabad/Bangalore/Chennai)

Work Mode: Hybrid

About the Role:

Seeking for a highly skilled Senior Engineer with deep expertise in AWS, Microsoft Fabric, and Microsoft Purview. The ideal candidate will drive architecture, development, and implementation of scalable cloud and data governance solutions, while providing technical leadership to the engineering team.

Key Responsibilities:

• Lead the design, development, and deployment of scalable cloud solutions on AWS.
• Architect and implement enterprise data solutions using Microsoft Fabric, including analytics, data pipelines, and integrated lakehouse scenarios.
• Implement and manage data governance, cataloging, and compliance using Microsoft Purview.
• Define technical standards, best practices, and architecture patterns across cloud and data projects.
• Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
• Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
• Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

Required Skills & Qualifications:

• 6+ years of hands-on experience in software/cloud engineerin

Location:  

Bengaluru, Karnataka 

About the Company:  

Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion. 

Role Summary:  

We are seeking a skilled and experienced Data Engineer with a minimum of 2 years of experience in AI-driven data pipelines, agentic databases, and orchestration frameworks. The role focuses on designing intelligent, scalable, and adaptive data architectures that support next-generation AI-based systems and applications. The ideal candidate will have a strong background in AWS services (including Glue, EMR, and Lambda), along with expertise in data modelling, Python, SQL , and hands-on experience in integrating third-party APIs from the ground up. 

Key Responsibilities:

• Design, develop, and

Please apply here:

Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR).
• Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable).
• Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc.).
• Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS.
• Strong proficiency in SQL, Python, and PySpark.
• Expertise in AWS data ecosystem – including Glue, Redshift, S3, Lambda, EMR, and Athena.

Mandatory skill sets:

• Strong proficiency in SQL, Python, and PySpark.
• Expertise in AWS data ecosystem – including Glue, Redshift, S3, Lambda, EMR, and Athena.

Preferred skill sets:

• AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.

Years of experience required:

6-10

Education qualification:

B.Tech / M.Tech / MBA / MCA

Cloud and AWS Expertise:

In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg,EMR, and Athena.

Strong understanding of cloud architecture and best practices for high availability and fault tolerance.

Data Engineering Concepts:

Expertise in ETL/ELT processes, data modeling, and data warehousing.

Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark.

Proficiency in handling structured and unstructured data.

Programming and Scripting:

Proficiency in Python, Pyspark and SQLfor data manipulation and pipeline development.

Expertise in working with data warehousing solutions like Redshift.

Top 3 technical Skills: AWS Glue, Amazon EMR, Amazon Redshift,Pyspark,Python,SQL

Job Role - Technical Architect - ML

Location - Mumbai/Bangalore

Must have skills:

• Experience: 12+ years
• Well-versed with AWS Cloud and AWS Machine Learning capabilities and offerings: Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
• Hands-on experience of working with Sagemaker studio, canvas, and data wrangler.
• Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
• Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
• Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
• Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Understanding of LLM architectures ( LLaMA, Claude, Amazon Nova etc.), with a focus on their training and inference workflows
• Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
• Experience with prompt engineering and

Project Role : Custom Software Engineer

Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.

Must have skills : AWS Architecture

Required Experience: 15+ Yrs

Mandatory Skills: AWS architecture roles, emphasizing the need for solution architects with AWS certification, experience in integration, and leading projects. They also mentioned the importance of AWS EC2, Mestry, and other AWS skills.

Educational Qualification : 15 years full time education

Summary :

As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery.

Roles & Responsibilities:

- Expected to be an SME.

- Collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute on key decisions.

- Expected to provide solutions to problems that apply across m

Job Summary

Role : AWS Data Architect- Leadership

Experience : 16 - 24 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

Job Description: Senior Consultant - AWS Consultant/Data engineer

Location: Hyderabad/Indore

Duration: Full time

Kindly revert me on srinivas.alakuntla@teamhgs.com

Hinduja Global Solutions Ltd., (HGSL) is an Indian listed company and part of Hinduja Group serving fortune 500 companies for the last 40 years. It is a Digital Technology BPM company specialising into Consumer Engagement Services in the field of Technology, Telecom, banking, retail operations, Data Analytics and Digital Technology services. The Parent Co holds entities in the USA, Philippines, UK, Canada, South Africa, Colombia and Jamaica through subsidiaries and step-subsidiaries. With more than 18,000 employees spread across 9 countries, our mission is to make our clients more competitive by providing exceptional experience. Powered by people’s first philosophy and experience serving over 1100 of the world’s leading brands, HGS is the perfect place to build your future!

Position Summary:

We are looking for an AWS Consultant/Data engineer to add to our cloud practice.

We believe that Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fid

Job Description: AWS Principal Network Architect (Terraform + ADO Automation)

Location - India, Remote

Duration - 1 month Contract

Timings - 9:30 PM to 5:30 AM IST.

Note - Need Strong experience in networking

Overview

We are looking for an accomplished AWS Principal Network Architect with deep expertise in Terraform , Azure DevOps (ADO) , and enterprise‑scale AWS networking .

This role will lead to the redesign and stabilization of our end‑to‑end automation pipelines, with a specific focus on eliminating Terraform drift and ensuring fully automated, reliable AWS automation for account provisioning or decommission .

Serve as the technical authority for cloud networking and IaC automation, driving architectural improvements that increase consistency, compliance, and operational efficiency across our AWS organization.

Key Responsibilities

AWS Network Architecture Leadership

• Architect scalable, secure AWS network topologies including VPCs, Transit Gateway, Direct Connect, PrivateLink, Route53, and multi‑account landing zones.
• Define and maintain network patterns, guardrails, and reusable architecture frameworks.
• Lead m