Lead, Software Development/Engineering

What's In for you:

• 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)

What are we looking for:

• 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

Duties & Accountability:

• 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
• 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)

Education and Experience:

• 8-12 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)
• Work on cutting-edge AI-integrated platforms
• Culture of innovation, open collaboration, and continuous learning
• Drive impact at scale in mission-critical enterprise applications
• Accelerate your growth with future-ready engineering practices