Must have tech stack - 10 years and above; Java Enterprise Java Development Spring / Spring Boot REST API Development Microservices Architecture Integration Services Python 8+ years Python Data processing Automation APIs AI integrations AI Engineering & GenAI LLMs RAG Prompt Engineering AI Agents AI-assisted Development Software Engineering Enterprise application development Object-oriented design System design Secure coding Production support API & Integration Development REST APIs Service Integration API Design Event-driven architecture Data Engineering / Data Processing ETL / ELT Data Pipelines Data Transformation Database Development Data Quality Databases PostgreSQL Oracle SQL Development Role & Responsibilities Design, build, test, deploy, and operate secure, scalable, production-grade software and data products. Develop high-quality Python and Java solutions for APIs, microservices, automation, integrations, and platform services. Engineer reliable batch and event-driven data pipelines with strong observability, governance, and data quality controls. Build AI-enabled solutions leveraging: LLMs AI Agents RAG (Retrieval-Augmented Generation) Prompt & Context Engineering AI Evaluation Frameworks Guardrails & Human Approval Workflows Drive engineering excellence through: CI/CD Infrastructure as Code (Terraform preferred) Automated Testing Secure Coding Practices Code Reviews Production Readiness Collaboration closely with Product Owners, Architects, Data Engineers, Security, and Operations teams. Mentor engineers and contribute to technical leadership, architecture, and best practices. Qualifications Relevant degree or diploma in Computer Science, Software Engineering, Information Technology, Data Engineering or a related field. 10 years of relevant software engineering experience, including responsibility for complex production systems. Expert-level delivery using Python and/or Java, with strong data and integration engineering experience. Practical evidence of AI-assisted or AI-native engineering, including evaluation, governance and accountable human review. AWS, Java, Python, data engineering, architecture, DevOps, Kubernetes, Terraform, Agile or AI-related certifications are advantageous.