Find Your Dream Java Job in India

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You'll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
• Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

• Minimum 3+ years of overall experience
• Strong experience in JavaScript / TypeScript
• Proficiency with Git, Docker, and basic software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience contributing to or evaluating open-source projects is a plus.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.
• Perks of Freelancing With Turing:
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Employment type: Contractor assignment (no medical/paid leave)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at and earn money from your network.

Sarvaha is looking for a Lead/Senior Java Developer with 5+ years of experience (10+ years preferred) and strong expertise in Java, system design, and reactive microservices to architect and build high-throughput, cloud-native, event-driven microservices platforms.

Sarvaha is a niche software development company that works with some of the best funded startups and established companies across the globe. Please visit our website at

to know more about us.

What You'll Do

• Design and develop scalable micro-services using Java 17+ and Spring Boot
• Solid experience with Spring WebFlux & reactive programming
• Proven production experience with Kafka (Producers, Consumers, Kafka Streams)
• Develop secure, high-throughput REST APIs
• Hands-on experience with AWS (EC2, S3, Lambda, SNS/SQS) and/or Azure Event Hub
• Experience with REST APIs, asynchronous programming, and non-blocking I/O
• Collaborate with DevOps to ensure reliability, tracing, and observability of systems
• Participate in code reviews, mentor team members, and promote engineering best practices
• Troubleshoot and resolve production issues in distributed systems

You Bring

• BE/BTech/MTech (CS/IT or MCA) with strong software engineering fundamentals
• Strong expertise in the Spring ecosystem (Spring Boot, Web, Data)
• Strong knowledge of Spring WebFlux, Project Reactor, and non-blocking I/O
• Solid understanding of Kafka (Producers, Consumers, Streams) and message-driven design
• Experience with AWS (EC2, S3, Lambda, SNS/SQS) or Azure SDKs and Event Hub
• Expertise in designing and developing high-performance, resilient, and observable systems
• Exposure to Docker, CI/CD pipelines, and Kubernetes (preferred)
• Familiarity with microservices testing strategies like contract testing, mocking, & test containers
• Strong problem-solving abilities & system design thinking (caching, partitioning, load balancing)
• Clear communication, love for documentation, and mentoring to programmers on the team

What Sets You Apart

• Monitoring experience with Grafana, Prometheus, ELK, or Datadog
• Excellent collaboration with cross-functional teams-developers, DevOps, QA
• Knowledge of both AWS and Azure is a strong plus

Why Join Sarvaha?

• Work on challenging, real-world distributed systems
• Remote-first culture (WFH even before the pandemic)
• Collaborate with high-caliber global teams
• Strong focus on engineering quality & architecture
• Competitive compensation and long-term growth opportunities

• At least 5 years of experience in ground-up development projects with strong expertise in Spring Boot and MVC architecture.
• Developing microservices-based applications using domain-driven design, Spring Boot, Spring Cloud, PostgreSQL, JUnit, Maven, and Git.
• Experience with functional programming languages such as Clojure, Lisp, or others is a plus.
• Experience working in an agile model is required.
• Experience with Kafka and rule engines (Drools/Clara) is required. Experience in building process metrics for business process improvement is an added advantage.
• With over 10 years of experience, strong application skills in system design and designing microservices using domain-driven design are expected.
• Should be be capable of leading a Team.

Functional Automation Tester+:

• Develop and maintain system integration tests using JUnit, Cucumber, JMeter, and JParrot.
• Maintain test code and script artifacts in the Git repository and run them daily as part of the DevOps pipeline.
• Experience in developing integration tests from requirements using BDD is required.
• Experience with testing automation tools (Tosca preferred) and an understanding of DDD and microservices is a plus.
• Experience using observability tools is required.
• Maintain traceability between Requirements and Tests and ensuring coverage.

About Us:

We are LearningMate - Energizing the Educational Landscape!

Dedicated to transforming learning and development via cutting-edge technological solutions, LearningMate is a trailblazing one-stop shop for education technology. With a goal of improving educational experiences and empowering students, the firm has emerged as a leader in the field. Together with the recently acquired DoubleLine, LearningMate is a part of the Straive group and uses technology, digital media, large-scale data, and solutions to build strong, firm foundations in engineering and learning design. This helps to close the gap that exists between students, teachers, and content curators. The biggest publishers, universities, and government education departments worldwide use LearningMate's solutions to assist in developing, implementing, and streamlining their digital infrastructure.

We are honored to be our clients' top choice for solutions thanks to our wide range of offerings, and we lead the charge to improve access to, affordability of, and effectiveness of future education, so enabling more students and learners. With more than 3500 employees, we are a powerful force in the US, the UK, South Africa, and India.

Learn more at .

InDesign JavaScript Developer with XML knowledge and strong background in Artificial Intelligence (AI) will be responsible for developing and maintaining automation solutions to optimize our publishing proces

Project Description:

• We are seeking a Techno-Functional Automation Engineer with strong JavaScript and UI automation experience to support testing and automation of critical application. The role will focus on executing and maintaining regression automation, analysing failures, improving test coverage, and collaborating with stakeholders to ensure high-quality releases.
• You need to have hands-on experience with Selenium, Cucumber (BDD), CI/CD pipelines, and automation framework development, along with strong troubleshooting and communication skills.

Responsibilities:

• Own and manage the regression testing cycle, including execution, monitoring, and reporting of results
• Analyse regression failures, perform root cause analysis, and coordinate with development teams to resolve issues
• Communicate test results, defects, and release risks to stakeholders clearly and proactively
• Continuously enhance and expand the regression automation suite to improve coverage and reliability
• Identify and implement automation opportunities for manual testing processes
• Design and develop UI automation scripts using JavaScript and Selenium/Taiko
• Build and maintain BDD automation frameworks using Cucumber or Gauge
• Integrate automation tests with CI/CD pipelines using TeamCity
• Manage automation code using Git version control
• Collaborate with QA,

Senior Backend Engineer (Java/Kotlin/Spring Boot)

Location

• Offshore – Remote from India
• Working Hours: 3:00 PM – 12:00 AM IST
• Long term Contract

We are currently hiring Senior Backend Engineer to help modernize and rebuild a critical internal customer agent platform currently operating on a legacy technology stack. The existing databases will remain intact, while the engineering team designs and builds modern APIs and backend services to efficiently expose and retrieve data.

What You’ll Do

• Design, develop, and maintain scalable backend services using Java, Kotlin, and Spring Boot 3+
• Build modern REST and GraphQL APIs to replace legacy system components
• Work with relational databases such as PostgreSQL and/or Google Spanner
• Deploy and manage services within Google Cloud Platform (GCP) environments
• Contribute to cloud-native architecture and containerized deployments ( Kubernetes exposure is a plus )
• Implement secure authentication and authorization using OAuth 2.0 and related identity protocols
• Utilize observability and monitoring tools such as New Relic
• Collaborate closely with cross-functional engineering teams while operating independently as a strong Individual Contributor (IC)

Required Sk

Role summary

We are looking for an Expert Software Engineer to build and scale core components of our Data Platform using Java, pipeline orchestration, and microservices architecture.

This role focuses on designing systems that capture, refresh, and compare (CCR) data across platforms to ensure consistency, correctness, and traceability. You will build backend services and pipeline frameworks that enable reliable data movement and validation across distributed systems.

You will operate at the intersection of data processing and backend engineering, with a strong emphasis on system reliability, data correctness, and platform scalability

Key responsibilities

• Pipeline & Data Processing Systems
• Microservices & Platform Development
• Containerization & Deployment
• Data Consistency & Reliability
• Performance & Optimization
• Quality & Engineering Excellence
• Collaboration & Ownership
• Continuous Improvement

Required qualifications (Hard requirements)

• 8+ years of software engineering experience
• Strong programming expertise in Java
• Experience building microservices-based architectures
• Hands-on experience with pipeline management / workflow systems
• Experience working with Docker and co

We’re Hiring | Java Backend Engineers | Product-Based Team | Hyderabad (Hybrid)

Looking to work on high-scale, real-time distributed systems?

Join us to build next-generation backend platforms powering scalable products and mission-critical applications.

We’re looking for engineers with strong expertise in:

✅ Java

✅ Spring Boot

✅ Apache Kafka

✅ PostgreSQL

✅ Microservices Architecture

✅ Distributed Systems

✅ Kubernetes / Docker / AWS

⭐ Preferred Background:

✔ Product-based companies

✔ Fintech / Payments / High-transaction platforms

✔ Event-driven architecture experience

Location: Hyderabad

Work Mode: Hybrid

Service-based/MNC-only implementation/support profiles are not preferred.

If you’re passionate about scalable backend engineering and solving complex technical challenges, we’d love to connect!

Share your resume at: nivetha.s@eminds.ai

Frontend Engineering Lead

8+ years of experience with ReactJS, Redux, JavaScript, TypeScript, GraphQL & Groovy Script,

CSS/SCSS & Web Accessibility and GCP, GKE.

Key responsibility will be to design & build highly secure & distributed applications. Lead Agentic AI initiatives.

Role - Senior Manager

Key Skills required - Technical Delivery of Java projects, Java, Spring boot, Rest API, Microserivices, Cloud, Design Patterns, Algorithms and AI Knowledge.

Experience- 15-20 Yrs

Job Location - Chennai (Ramanujan IT Park)

Mode of work - Hybrid

The Frameworks team is a specialized group dedicated to building robust and scalable internal tools, utilities, and core frameworks that empower other development teams across organization. We operate at the foundation, focusing on generic, reusable solutions rather than customer-specific business logic. Our work heavily involves reflective programming, metadata-driven development, and creating foundational components that drive efficiency and consistency throughout the organization. We are a high-ownership team, managing the entire lifecycle from design to deployment, and frequently collaborating with our internal customers to understand their needs and deliver innovative solutions. If you are passionate about building foundational technology, enjoy solving complex technical challenges, and thrive in an environment where you can shape the future of internal development, this is the place for you.

Essential Responsibilities:

Framework Development:

Develop and implement robust, generic, and reusable code for internal frameworks, utilities, and tools using Java and Spring Boot.

Technical Implementation: Contribu

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluating unit test coverage and quality.
• Modify and