Senior Backend Engineer

First Object; Bengaluru; Hybrid; INR 3,000,000 - 5,000,000; Full time

Job summary

First Object in Bengaluru, India seeks a Full Stack Senior Software Engineer focused on Python backend to power AI-powered financial close automation. You will own APIs, data pipelines, and agent orchestration, while contributing to Angular UI when needed.

You will work with Docker and Kubernetes (AKS) and collaborate in a squad that values design, REST/OpenAPI contracts, and scalable microservices. Expect an AI-native mindset and opportunities to influence architecture.

Qualifications

• 5+ years of backend or full stack software engineering experience.
• Strong Python proficiency with FastAPI or equivalent async REST framework.
• PostgreSQL at production level: schema design, migrations, indexing.
• Redis and Celery or RabbitMQ/SQS for async task queuing.
• REST API design with OpenAPI contracts and versioning.
• Azure DevOps CI/CD integration; proficient with Git and agile delivery.
• Docker for containerizing Python services.
• Kubernetes for deploying containerized workloads.

Responsibilities

• Build and maintain scalable RESTful APIs and microservices using Python and FastAPI.
• Design and implement async task processing flows with Redis/Celery or equivalent message queues.
• Own data layer design: PostgreSQL schema, migrations, and query optimization.
• Containerize services with Docker and deploy to Kubernetes (AKS).
• Integrate backend with the agent orchestration engine under architectural direction.
• Contribute to API contracts, OpenAPI specs, versioning, and inter-service patterns.
• Make frontend code fixes and contribute to Angular UI when needed.
• Lead and articulate design trade-offs during sprint planning and reviews.

Skills

Python backend

FastAPI

PostgreSQL

Redis

Celery

Docker

Kubernetes

Angular

TypeScript

APIs(OpenAPI)

Git

Azure DevOps

Tools

Docker

Kubernetes

OpenAPI

Git

Job description

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.

Who You Are:

• Proven ability to design individual service components from first principles, including data models, API contracts, internal state management, and inter-service communication patterns.
• Able to reason through and clearly articulate trade-offs between design choices, such as sync vs async processing, SQL vs NoSQL storage, REST vs event-driven communication, and monolith vs microservice boundaries.
• Expected to produce and review low-level design artefacts, class diagrams, sequence diagrams, and data flow descriptions that are precise enough for engineers to implement without ambiguity.

Backend Engineering - Primary Gate

• 5+ years of backend or full stack software engineering experience.
• Strong Python proficiency with FastAPI or equivalent async REST framework for building production-grade service APIs.
• PostgreSQL at production level, covering schema design, query writing, indexing, and migrations.
• Redis and Celery or equivalent message queue system (RabbitMQ, SQS, or similar) for async task queuing and job state management.
• REST API design experience, including OpenAPI contracts, versioning, and microservice communication patterns.
• Azure DevOps CI/CD pipeline integration for build, test, and deployment; proficient with Git and agile sprint-based delivery.

Infrastructure - Required at Working Level

• Docker for containerizing Python services, including image build and optimization.
• Kubernetes for deploying, configuring, and troubleshooting containerized workloads; working knowledge of deployments, services, config maps, and resource management is sufficient. Cluster operations ownership is not required.

Frontend Contribution - Required

• Angular at working capability to make frontend code fixes, implement UI changes, and debug components. Deep proficiency is not required.
• TypeScript at working level for reading and writing Angular component code.

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. Willingness to ramp up quickly is the requirement.

Nice to Have

• Experience with Identity Provider (IDP) integration and OAuth 2.0 / OpenID Connect flows.
• Familiarity with API Gateway patterns, including authentication, rate limiting, and routing.

What You'll Learn & Gain

• Hands-on experience building backend services that directly power production AI agents used in enterprise financial close workflows.
• Practical exposure to LLM and agent orchestration patterns, working alongside Senior AI/ML Engineers in a cross-functional squad.
• Experience deploying and operating containerized microservices in an Azure-hosted Kubernetes environment at enterprise scale.
• A collaborative squad environment where backend quality, API design discipline, and low-level engineering rigor are valued and developed.