Summary :

We are looking for a Full Stack Senior Software Engineer with backend proficiency to join an Agent Development Squad building AI-powered financial close automation. You will primarily own the Python backend services, APIs, and data pipelines that power AI agents for financial close automation. You are expected to have a working understanding of containerization and deploying applications in Kubernetes environments. You should also be able to make front-end fixes and contribute to Angular UIs when needed. Full stack delivery is the expectation, with backend as the primary strength.

What You'll Do :

- Build and maintain scalable RESTful APIs and microservices using Python and FastAPI.

- Design and implement async task processing flows using Redis/Celery or equivalent message queue systems (RabbitMQ, SQS, or similar) for agent job execution.

- Own data layer design, covering PostgreSQL schema design, migrations, and query optimization for agent state and audit data.

- Containerize services using Docker and deploy to Kubernetes (AKS) environments.

- Integrate backend services with the agent orchestration engine under the Tech Lead's architectural direction.

- Contribute to API contract design, covering Open API specifications, versioning, and inter-service communication patterns.

- Make frontend code fixes and contribute to Angular UI features when needed, as full stack delivery is expected.

- Lead and actively contribute to low-level design, including component design, data modelling, API contracts, and service internals; expected to articulate and defend design trade-offs during sprint planning, tech reviews, and design sessions.

Requirements :

- 5+ years of backend or full stack software engineering experience.

- Strong Python proficiency with FastAPI or equivalent async REST framework.

- PostgreSQL at production level, covering schema design, query writing, indexing, and migrations.

- Redis and Celery or equivalent message queue system.

- REST API design experience, including OpenAPI contracts.

- Docker for containerizing Python services.

- Kubernetes for deploying, configuring, and troubleshooting containerized workloads.

- Angular and TypeScript at working capability for frontend code fixes.

AI-Native Mindset :

- Comfortable working in an AI-native engineering environment where sprint discussions, design reviews, and acceptance criteria routinely involve LLM and agent concepts.

- Exposure to LangChain / LangGraph or LLM integration is a plus.