Microservices Jobs in Chennai

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer 0 Job Summary We are seeking a highly skilled and motivated Software Engineer to join our growing team in Chennai. This role, designated as a Core Engineer 0, will focus on developing and maintaining core components of our systems. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building high-quality, scalable solutions. Key Responsibilities The specific responsibilities will be determined based on project needs, but will generally include contributing to the design, development, and testing of software components. This role requires a proactive approach to problem-solving and a commitment to delivering robust and reliable solutions. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 6 - 6 years of experience in software engineering are expected. This level of experience indicates a seasoned professional capable of working independently and contributing significantly to complex projects. Programming Languages: Proficiency in Java and Server-side languages is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot and Microservices architectures. Cloud Technologies: Familiarity with GCP (Google Cloud Platform) is required. Infrastructure as Code: Experience with TERRAFORM for infrastructure provisioning and management. Agile Methodologies: Solid understanding and practical application of Agile development principles. Testing Practices: Commitment to Test-driven development methodologies to ensure code quality. DevOps Practices: Experience with Continuous integration and Continuous delivery pipelines. Security: Knowledge of Encryption and Anonymization techniques to protect sensitive data. API Development: Experience designing and implementing APIs for seamless integration. User Interface: Understanding of User Interface principles and best practices. Analytical Skills: Strong Analytical Skills to effectively analyze complex problems and develop innovative solutions. Problem-Solving Skills: Excellent Problem-Solving Skills to identify, troubleshoot, and resolve technical challenges. Communication Skills: Effective Communication Skills to clearly convey technical information to both technical and non-technical audiences. What We Offer Salary: Not provided.

Software Engineer (1) - Established Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (1) - Established Engineer 0 Job Summary We are seeking a skilled and experienced Software Engineer to join our team in Chennai. This is an onsite position within the Technology industry. The ideal candidate will possess a strong foundation in Mainframe Systems and a proven ability to deliver high-quality software solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from initial design and coding to testing, debugging, and delivery. The candidate will collaborate with a team to ensure the successful implementation of Microservices and APIs , while adhering to established Security Practices . Required Skills & Qualifications Mainframe Systems : Demonstrated proficiency in working with Mainframe Systems , including a thorough understanding of their architecture and operational principles. Mainframe DB : Expertise in Mainframe DB management and manipulation, ensuring data integrity and efficient retrieval. DB2 : Strong skills in DB2 database administration and query optimization. COBOL : Solid experience in COBOL coding and maintenance. JCL : Proficiency in JCL for job control and automation. Agile : Familiarity with Agile development methodologies, including sprint planning, daily stand-ups, and retrospectives. Encryption : Understanding of Encryption techniques and their application in securing sensitive data. Anonymization : Knowledge of data Anonymization methods to protect user privacy. User Interface : Ability to design and implement intuitive and user-friendly User Interface elements. APIs : Experience in designing, developing, and integrating APIs for seamless data exchange. Microservices : Understanding of Microservices architecture and its benefits. Testing : Comprehensive Testing skills, including unit, integration, and system testing. Debugging : Strong Debugging skills to identify and resolve software defects efficiently. Coding : Excellent Coding practices and adherence to coding standards. Delivery : Proven ability to manage Delivery timelines and meet project goals. Security Practices : Commitment to implementing and maintaining robust Security Practices . Problem-Solving Skills : Exceptional Problem-Solving Skills to tackle complex technical challenges. Analytical Skills : Strong Analytical Skills to assess data and make informed decisions. Communication Skills : Effective Communication Skills to collaborate with team members and stakeholders. Bachelor's Degree : A Bachelor's Degree is required. Experience Required: The ideal candidate will possess a minimum of 6 - 6 years of relevant experience, demonstrating a solid foundation in software development and a proven ability to work independently and as part of a team. This is an established engineer role, requiring a high degree of autonomy and responsibility. What We Offer Salary:

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer 0 Job Summary We are seeking a highly motivated and experienced Software Engineer to join our core engineering team in Chennai. This role requires a strong foundation in software development principles and a passion for building robust and scalable applications. The ideal candidate will possess a blend of technical expertise and a collaborative spirit, contributing to a dynamic and innovative environment. Key Responsibilities The Software Engineer will be responsible for designing, developing, and maintaining high-quality software solutions. This includes collaborating with cross-functional teams to define requirements, implementing efficient and testable code, and participating in code reviews to ensure adherence to coding standards and best practices. The role also involves troubleshooting and resolving software defects, and contributing to the continuous improvement of our development processes. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6 - 6 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independently contributing to complex projects and mentoring junior team members. Programming Languages: Proficiency in Java and JavaScript is essential. Frameworks & Technologies: Demonstrated experience with Angular , Springboot , and Spring Security . Cloud Technologies: Familiarity with Spring Cloud is highly desirable. Web Technologies: Solid understanding of HTML5 and CSS3 for building modern web applications. Architectural Patterns: Strong understanding of Microservices Architecture and the ability to design and implement scalable microservices. API Design: Expertise in RESTful API Design principles and best practices. Messaging: Experience with Asynchronous Messaging patterns and technologies. Version Control: Proficiency in using Git , GitHub , GitLab , or Bitbucket for version control and collaborative development. Analytical Skills: Exceptional Analytical Thinking skills to effectively analyze complex problems and develop creative solutions. Problem-Solving Skills: Proven Problem-Solving Skills to identify, diagnose, and resolve software defects and technical challenges. What We Offer Salary:

Software Engineer (3) - Core Engineer 3

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking a highly skilled and motivated Software Engineer (3) - Core Engineer 3 to join our growing team in Chennai. This role will be based onsite and offers a challenging opportunity to contribute to cutting-edge technology projects within the Technology industry. Key Responsibilities The Core Engineer 3 will be responsible for the design, development, and maintenance of robust and scalable software solutions. This role requires a deep understanding of software engineering principles and a commitment to delivering high-quality code. Required Skills & Qualifications Educational Background: A B.E., B.Tech., M.C.A., or equivalent technical degree is required. Experience: A minimum of 5-6 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and debug complex software systems, as well as mentor junior engineers. Programming Languages: Proficiency in Java , Node.js , and TypeScript is essential. Frameworks & Libraries: Strong experience with Spring Boot , React , and a solid understanding of REST APIs and GraphQL . Databases: Demonstrated ability to work with PostgreSQL . Cloud Technologies: Experience with GCP is required. Version Control: Familiarity with GitHub for version control and collaborative development. Microservices Architecture: A strong understanding of Microservices architecture and its implementation. API Integration: Experience with SOAP . Testing & Quality Assurance: Proficient in TDD (Test-Driven Development) and experienced with testing frameworks such as JUnit and Selenium . Security Practices: Knowledge of DevSecOps principles and experience with security tools like SonarQube and Checkmarx . AI & Machine Learning: Familiarity with AI concepts and experience with tools like Claude . Prompt Engineering & RAG: Understanding of Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques. Web Technologies: Solid understanding of HTML5 , CSS3 , and JavaScript . UI/UX: Experience with Responsive UI Design . CI/CD: Experience with CI/CD pipelines and automation. Additional Tools: Familiarity with 42Crunch . Other: Understanding of Dynatrace . What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

Software Engineer (3) - Core Engineer 3

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer 3 Job Summary We are seeking three Software Engineer (3) - Core Engineer 3 to join our team in Chennai. This is an onsite position within the IT / Technology industry. Key Responsibilities This role will focus on the core engineering aspects of our software development lifecycle, contributing to the design, development, and implementation of robust and scalable solutions. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 6 - 6 years of experience are required. This level of experience indicates a seasoned professional capable of independent work and contributing significantly to complex projects. Programming Languages: Proficiency in Python is essential. 3DX Expertise: Demonstrated expertise in 3dx Dassault 3DX customization , including CAA , CATIA V5 Scripting , and EKL 3DX widget development . Data Management: Strong skills in 3DX database management . Simulation & Analysis: Experience with Simulia customization . Cloud Computing: Familiarity with GCP (Google Cloud Platform). Software Development Practices: A solid understanding of Test-driven development , Continuous integration , and Continuous delivery . Security: Knowledge of Encryption and Anonymization techniques. Architectural Design: Ability to contribute to Software architecture and design user-centric software solutions . API Development: Experience in developing and utilizing APIs and Microservices . Methodologies: Experience working within an Agile development environment. User Interface: Understanding of User Interface principles. Server-Side Development: Experience with Server Side development. Programming Practices: Strong foundation in established Programming Practices . Testing: Ability to develop and execute a comprehensive Software test strategy . Efficiency: Focus on improving Development efficiency . What We Offer Salary: 28 LPA

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking three highly skilled and motivated Software Engineers to join our core engineering team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The ideal candidate will be a proactive problem-solver with a strong commitment to delivering high-quality, scalable, and maintainable code. Required Skills & Qualifications Core Programming Languages: Demonstrated proficiency in Java and Node.js is essential. The candidate should be comfortable writing clean, efficient, and well-documented code. Frameworks and Technologies: Experience with Spring Boot is required. Familiarity with React is also desirable. Cloud Computing: Experience with GCP is required. API Development: Strong understanding of SOAP/REST APIs and experience designing and implementing them. Testing Methodologies: A solid foundation in various testing methodologies including Unit Testing , Integration Testing , Regression Testing , UAT , and Load Testing . Experience with TDD is a plus. Testing Tools: Proficiency in using testing tools such as JUnit and Selenium . Code Quality and Security: Experience with code quality and security tools like 42Crunch , SonarQube , and Checkmarx . Understanding of DevSecOps principles. Observability and Monitoring: Experience with Monitoring , Alerting , and Observability tools, specifically Dynatrace . Version Control: Proficiency in using GitHub for version control and collaboration. Data Management: Experience with PostgreSQL and GraphQL . Artificial Intelligence: Familiarity with AI concepts, including Prompt Engineering , Retrieval-Augmented Generation , Token Optimization , and Scoped Referencing . CI/CD: Experience with CI/CD pipelines. Education: A B.E. , B.Tech. , M.C.A. , or equivalent technical degree is required. Experience: 5 years of experience is required. The candidate should be a seasoned professional capable of working independently and mentoring junior team members. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge AI and ML initiatives within a dynamic Technology environment. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI and ML models and systems. This includes collaborating with cross-functional teams to define project requirements, designing and implementing solutions, and ensuring the quality and reliability of deployed models. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms, techniques, and their practical applications. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) for developing and deploying AI and ML solutions. This includes experience with GCP services such as Vertex AI, BigQuery, and Cloud Storage. GenAI : Experience with Generative AI models and techniques, including understanding of large language models and their applications. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into existing systems. MLOps : Knowledge of MLOps practices and tools for automating and streamlining the machine learning lifecycle, from model development to deployment and monitoring. RESTful APIs : Ability to design and implement RESTful APIs for integrating AI and ML models with other systems and applications. Microservices : Experience with microservices architecture and its application in building scalable and resilient AI and ML systems. Data Pipelines : Ability to design and implement robust and efficient data pipelines for ingesting, transforming, and preparing data for AI and ML models. Model Monitoring : Experience with model monitoring techniques and tools for tracking model performance and identifying potential issues. Model Governance : Understanding of model governance principles and best practices for ensuring the ethical and responsible use of AI and ML models. Serverless : Familiarity with serverless computing concepts and technologies for building scalable and cost-effective AI and ML applications. Containerized : Experience with containerized deployments using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate with product management teams to define requirements and translate them into technical solutions. Reasoning : Strong analytical and reasoning skills for problem-solving and decision-making in complex situations. Tool-use : Ability to effectively utilize various AI and ML tools and technologies. APIs : Understanding of APIs and their role in integrating AI and ML models with other systems. Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI and ML . What We Offer We offer a competitive compensation package.