Principal Software Engineer, Bangalore

Description

Trintech is an award-winning AI-driven Fintech SaaS organisation transforming the way finance teams operate.

We are looking for a Principal Software Engineer to build and own backend services in the Platform Team at Trintech’s AI Platform. The Platform Team delivers the foundational capabilities that all AI agents depend on — event-driven orchestration, multi-tenant data architecture, API gateway integration, immutable audit framework, and the billing and metering engine. This is the next career level above Senior Software Engineer. The step-up is defined by deeper technical ownership, higher quality output, and greater independence — not a change in tools or scope.

A Principal Engineer on this team owns their service implementations end to end, requires no guidance on complex backend problems, sets the code quality bar that others follow, and contributes meaningfully to low-level design decisions. The Platform Team builds infrastructure that other teams depend on — platform services must be reliable, observable, well-documented, and designed to be consumed by agent squads who did not build them.

Nice to Have

• Experience building audit or compliance-grade systems — immutable logs, decision trails, tamper-evident data.
• Workflow orchestration tools — Temporal or equivalent, learnable on the job. AI-native SDLC: familiarity with Human-led Agentic SDLC practices.
• Azure cloud experience.

Experience

• Event-driven architecture — building services that produce and consume events correctly. Message ordering, delivery guarantees, idempotency, and error handling in event-driven systems.
• Immutable data design and append-only patterns — designing data models where every state change is traceable and tamper-evident. The engineering foundation for compliance-grade platform capabilities.
• Multi-tenant data patterns — tenant-scoped data access, row-level isolation, and per-tenant configuration at the service level.
• API design and OpenAPI contracts — designing and versioning platform APIs that downstream consumers can build against reliably.
• SQL and NoSQL databases at production scale — schema design, query optimisation, indexing strategies, and knowing when to use each.
• Kubernetes, Docker, and Helm — deploying and releasing containerised services in production, including CI/CD pipeline integration. Code quality: maintainable, readable, well-tested code with error handling, observability instrumentation, and service resilience patterns.

Backend Engineering Delivery

• Own backend service implementation end to end — design, build, test, deploy, and maintain production-grade Python services using FastAPI. Does not wait to be told how to build something.
• Design service internals from first principles — data structures, API contracts, error handling, retry strategies, and observability instrumentation.
• Build event-driven services that produce and consume events correctly — message ordering, delivery guarantees, idempotency, and failure handling in event-driven platform systems.
• Design and implement multi-tenant data access patterns — row-level isolation, tenant-scoped queries, and per-tenant configuration at the service level.
• Design immutable data models and append-only event patterns — the engineering foundation for the platform’s compliance and audit capabilities.
• Own CI/CD pipeline integration for services — every service ships with automated tests, quality gates, and reliable deployment.

Quality & Craft

• Set the code quality bar within the Platform Team — write clean, maintainable, well-structured code that others reference as the standard.
• Drive test coverage as a first-class engineering concern — unit, integration, and contract tests are part of delivery, not an afterthought.
• Instrument services for observability — structured logging, distributed tracing, and health metrics built in from the start.
• Identify and address technical debt proactively — does not wait to be asked to flag quality issues or design debt in owned services.

Technical Contribution

• Contribute to low-level design discussions — bring clear reasoning on component design, data model trade-offs, and API contract decisions.
• Support and mentor Senior Engineers on the Platform Team — review code with depth, share knowledge, and raise the team’s technical level through example.
• Collaborate with the Platform Software Architect on implementation decisions — understands where the Architect’s design direction is heading and builds toward it.

Python Backend Engineering — Primary Gate

• Production-grade Python backend engineering using FastAPI — owns implementation decisions independently, sets the quality bar, and requires no guidance on complex backend problems.
• Low-level system design — designs individual components, data structures, service internals, and API contracts from first principles. Can articulate and defend trade-offs with depth and clarity.

Awareness

• API gateway concepts — how platform services are exposed through a gateway layer. Sufficient to design services that integrate correctly without owning the gateway.
• Security and IAM patterns — OAuth flows and token propagation at the service level. Platform Architect owns security architecture depth. LLM tooling concepts: what the platform must support for agents to operate on it.

What You’ll Learn & Gain

• End-to-end ownership of backend services on a foundational platform that every AI agent team builds on — with full accountability for reliability, observability, and production-readiness of the infrastructure you ship.
• Deep hands-on experience in event-driven architecture, immutable data design, and multi-tenant patterns in a production context where correctness, compliance, and scalability are all non-negotiable simultaneously.
• Exposure to building audit and compliance-grade infrastructure in a SOX-governed environment — learning to design systems where every state change is traceable, tamper-evident, and queryable under enterprise audit requirements.
• Close collaboration with the Platform Software Architect on implementation decisions, and the opportunity to mentor Senior Engineers — the Principal level is where individual technical excellence directly shapes the quality standards of the broader team.

If you are an engineer who owns their implementations completely, sets quality standards that others follow, and is ready to build the infrastructure foundation that an enterprise AI platform depends on — 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.