Director, Software Engineering

About the Role We are looking for a Director, Software Engineer who thrives on building high-performance, scalable, and AI-augmented enterprise applications. This role demands strong backend engineering in Java , while delivering full-stack solutions with a strong emphasis on cloud-native development , microservices , and GenAI integration . You will play a pivotal role in shaping the future of our software platformsowning platform evolution and embedding LLM-based tools to drive engineering velocity and quality. What Youll Do Deliver end-to-end features using modern Java stacks Build and scale APIs (REST/GRPC, OData, GraphQL) , microservices, and event-driven architectures Design and deploy containerized applications using Docker and Kubernetes Work across SQL and NoSQL databases (i.e., PostgreSQL, Oracle, MongoDB, Dynamo DB) Embed GenAI and LLM capabilities (e.g., Github Copilot, Claude, AWS Bedrock, Azure OpenAI) into workflows and products Drive AI-augmented development practices - prompt engineering, LLM-assisted testing, and documentation automation Contribute to CI/CD and observability using GitHub Actions, Prometheus, Datadog, Splunk Guide innovation in cloud-native, federated data architectures and data contracts Advocate clean code, secure development practices, and modern SDLC (GitHub Advanced Security) Nice to Have Experience with data contract standards and federated data tools (Trino, Starburst) Exposure to LLM orchestration tools (LangChain, LlamaIndex) Participation in hackathons, vibe coding, or internal innovation sprints Certifications in AWS/GCP , secure coding, or AI/ML domains Experience in Corporate Actions/Custody domain Tech Stack Tools Languages : Java, Python, JavaScript Frontend : React / Angular Cloud Platforms : AWS / Azure / GCP DevOps Infrastructure : Docker, Kubernetes, GitHub Actions, Terraform, CloudFormation Databases : PostgreSQL, Oracle, SQL Server, MongoDB, Starburst, Apache Parquet/Iceberg Messaging: JMS, Apache Kafka AI/GenAI : GitHub Copilot, Claude, CodeWhisperer, LLM APIs (OpenAI, Hugging Face, Bedrock) Monitoring : Splunk, Datadog, Prometheus Architecture : Microservices, event-driven, serverless, secure development (OAuth, JWT) Add-on: Agentic AI frameworks, skill files, MCP, Graph data modelling, RDF / Knowledge graph What You Bring years of full-stack development experience in enterprise environments Strong command of Java, and cloud-native application development Demonstrated experience with AI-enhanced developer tools and integrating LLM APIs Deep understanding of DevSecOps, scalable architecture , and performance tuning Strong problem-solving skills and a growth mindset toward AI-powered innovation Experience mentoring teams and driving engineering best practices Bachelors degree in computer science or related field (or equivalent practical experience)