Back-end Software Development Engineer #1066321
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:
1. Engage with customers to understand their use-cases and requirements
2. Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, and technologies
3. Align with architecture guidelines for unified and coherent approach to development
4. Design, develop, and deliver new code using various tools, languages, frameworks, and technologies
5. Develop and maintain back-end applications like APIs and microservices using server-side languages like Java, Python, C#, etc.
6. Collaborate with front-end developers to integrate user interface elements and with cross functional teams like product owners, designers, architects etc.
7. Manage application deployment to the cloud or on-prem, health and performance monitoring, security hardening and disaster recovery for deployed applications
8. Manage data storage and retrievals in applications by utilizing database technologies such as Oracle, MySQL, MongoDB, etc.
9. Promote improvements in programming practices, such as test-driven development, continuous integration, and continuous delivery
10. Optimize back-end infrastructure and deployment practices to improve application resiliency and reliability
11. 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 2 Exp.: Practitioner: 1 coding language or framework.
4+ years in IT
3+ 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.
Documentation 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.