Director, Full-Stack Engineer

• Design and implement scalable, secure, and performant backend services using Java, Spring Boot, and REST APIs.
• Develop and consume APIs as part of a distributed microservices environment, with a focus on reliability, maintainability, and testability.
• Design, Build and test AI agents using in-house AI platform and Python to automate complex control-related tasks
• Design, develop and test LLM based AI Agents with RAG/Autogen and prompt engineering
• Implement structured logging using SLF4J and Log4j, and integrate with monitoring tools and logging aggregators (e.g., Splunk, ELK).
• Collaborate with DevOps engineers to define and optimize CI/CD pipelines using GitLab, ensuring smooth and secure build, test, and deployment workflows. Drive SRE and operational excellence: define SLIs/SLOs, instrument services (logs/metrics/traces), optimize JVM/heap/GC performance, and lead incident response to reduce MTTR.
• Apply test-driven development (TDD) and behavior-driven development (BDD) practices using Cucumber, JUnit, and Mockito.
• Ensure code quality and security by leveraging tools such as SonarQube and Veracode, with a focus on maintainable and compliant code.
• Own end-to-end delivery of Java-based microservices and platform components; set technical direction, architecture guardrails, and operational KPIs for reliability, security, and performance.
• Lead a small team (5-10 engineers), driving system-level thinking across services, data, integration, observability, and controls to achieve accelerated outcomes & Mentoring them.

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required

• 12+ years of experience in software development required; experience in the securities or financial services industry is a plus
• Strong expertise and in depth knowledge of Java, Spring Framework (Spring MVC, Spring Boot), design patterns, Microservices architecture, and Restful APIs
• Experience in AI Code Assist Technologies (CoPilot, Claude Code, Windsurf,..)
• Strong understanding of AI agent architecture, solid grounding and prompt engineering
• Strong understanding of DevOps principles, best practice for coding and Agile development
• Proficient in automating CI/CD pipelines on large container platforms (Docker, Kubernetes)
• Batch Monitoring & Job scheduling tools like Airflow, Autosys & Control M.
• Proficient in scripting and SQL, Stored Procedures and transaction management