India - Bangalore, India
Hybrid
Trintech is an award-winning AI-driven Fintech SaaS organisation transforming the way finance teams operate.
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 frontend 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 OpenAPI 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
Low-Level System Design - Core Expectation
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.
If you are a backend-strong engineer who takes pride in clean API design, reliable data layers, and production-grade service delivery, and you are curious about working in an AI-native product environment, we encourage you to apply.
At our core, Trintechers stand committed to fostering a culture rooted in our core values – Humble, Empowered, Reliable, and Open. Together, these values guide our actions, define our identity, and inspire us to continuously strive for excellence in everything we do.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability.