Back-end Software Development Engineering Engineer III

Overview
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet
Job Title: Back-end Software Development Engineering Engineer III
Location: Chennai
Work Type: Hybrid (4 Days work From Office)
Position Description
Employees in this job function develop and maintain the back-end/ server-side parts of an application, typically consisting of APIs, databases and other services containing business logic.
They work with various languages and tools to create and maintain services on-prem or in the cloud.
Key Responsibilities
Engage with customers to understand their use-cases and requirements
Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, and technologies
Align with architecture guidelines for unified and coherent approach to development
Design, develop, and deliver new code using various tools, languages, frameworks, and technologies
Develop and maintain back-end applications like APIs and microservices using server-side languages like Java, Python, C#, etc.
Collaborate with front-end developers to integrate user interface elements and with cross functional teams like product owners, designers, architects etc.
Manage application deployment to the cloud or on-prem, health and performance monitoring, security hardening and disaster recovery for deployed applications
Manage data storage and retrievals in applications by utilizing database technologies such as Oracle, MySQL, MongoDB, etc.
Promote improvements in programming practices, such as test-driven development, continuous integration, and continuous delivery
Optimize back-end infrastructure and deployment practices to improve application resiliency and reliability
Support security practices to safeguard user data including encryption and anonymization
Skills Required
Spring Boot, AI, PostgreSQL, Java
Skills Preferred
SonarQube, GCP, Pub/Sub
Experience Required
Engineer III Exp: Proficient In 2 coding lang. or adv. Prac. in 1 lang.
6+ years in IT; 4+ years in development
Experience Preferred
Prompt Engineering: Experience crafting effective prompts and workflows for code understanding, documentation, and generation.
LLM Integration: Exposure to building applications that integrate LLMs (e.g., RAG pipelines, embeddings, vector databases, LangChain, or similar frameworks).
Python: Familiarity with Python for scripting, notebooks, and AI/ML tooling.
Cloud: Experience with cloud platforms (GCP, AWS, or Azure) and their AI/ML services.
Legacy Modernization: Prior experience reverse-engineering or modernizing legacy systems.
ocumentation Tooling: Experience generating architecture diagrams, API docs, or knowledge bases (including AI-assisted approaches).
Education Required
Bachelor's Degree
Additional Information
Understand Complex Systems Fast: Use AI-assisted techniques (Copilot, LLMs, code-analysis notebooks) to explore, map, and comprehend large existing applications, services, and their interdependencies.
Build & Maintain Backend Services: Design, develop, and optimize robust microservices and APIs using Java and Spring Boot.
Reverse-Engineer & Document Legacy Logic: Analyze undocumented or legacy code, extract business logic, and produce clear technical documentation, diagrams, and knowledge artifacts—leveraging LLMs to accelerate the process.
Apply AI to Engineering Workflows: Use LLMs and notebooks for code comprehension, test generation, refactoring assistance, dependency analysis, and impact assessment.
Establish good practices for prompt design, validation, and safe use of AI-generated output.
Improve Developer Productivity: Champion AI-assisted development practices across the team, sharing patterns, tooling, and guardrails that help engineers work faster without compromising quality.
Ensure Quality & Correctness: Write comprehensive tests and rigorously validate AI-assisted output—treating AI as an accelerator, never a substitute for engineering judgment.
Collaborate: Work closely with architects, product managers, and fellow engineers to translate legacy understanding into modernization and enhancement plans.
TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Work arrangement
Hybrid