Software Engineering Architect (Agent)

Trintech Solutions Private Limited (India); Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Trintech Solutions Private Limited (India) is seeking a seasoned architect to own the technical architecture of their Agent Stream platform. This role requires over 12 years of software engineering experience, focusing on large-scale distributed systems and proven cloud-native practices.

The successful candidate will collaborate closely with technical leads and platform architects, ensuring robust architecture and quality standards in a fast-paced environment. Familiarity with Kubernetes and Docker is essential.

Qualifications

• 12+ years of software engineering with focus on large-scale distributed systems.
• Experience in cloud-native engineering with public clouds like Azure.
• Proficiency in API design and OpenAPI contracts.

Responsibilities

• Own the architecture of the Agent Stream end-to-end.
• Define event emission standards for traceability and evaluation.
• Collaborate with platform architects on architecture decisions.

Skills

Architecture Ownership

Cloud-Native & Infrastructure Production

API Design

Security & Identity Management

Observability Standards

Event-Driven Patterns

Education

12+ years of software engineering

Tools

Kubernetes

Docker

PostgreSQL

Job description

Trintech is the leader in AI Financial Close Management, helping finance and accounting teams transform the way they work by eliminating manual burdens, strengthening controls, and empowering strategic decision‑making.

Responsibilities

• Architecture Ownership – Own the Agent Stream architecture end‑to‑end: orchestration engine, inter‑agent contracts (handoffs, shared context, escalation chains), data layer design, and on‑prem to cloud migration sequencing.
• Event & Instrumentation Standards – Define structured event emission standards for every agent; own instrumentation standards enabling traceability and evaluation across the stream.
• Documentation & Decision Making – Make and document foundational architecture decisions with clear rationale, trade‑off analysis, and long‑term implications; proactively identify design debt, scalability bottlenecks, and failure cascade risks.
• Hands‑On Technical Delivery – Commit to code: build foundational components, review critical PRs, lead high‑ and low‑level design sessions, whiteboard architecture decisions, and challenge proposals with depth; collaborate with Platform Architect on cross‑layer decisions.
• Engineering Standards & Leadership – Define and enforce engineering standards across the Agent Stream: API contract design, service observability, test coverage, and event emission; provide technical direction to Agent Stream Tech Leads as senior technical IC.

Qualifications

Primary Gate: 12+ years in software engineering with depth in large‑scale distributed systems. Evaluation focuses on engineering reasoning, design choice explanations, and understanding of failure modes and scalability trade‑offs.

Owner of all Agent Stream architecture end‑to‑end: component boundaries, data contracts, and service‑level design at both high and low levels.

Cloud‑Native & Infrastructure Production experience on at least one public cloud (Azure preferred), including Kubernetes, Docker, Helm, CI/CD pipelines, and continuous release practices. Experience sequencing on‑prem to cloud migrations.

Security & Identity: OAuth 2.0 and IAM production experience; production proficiency in authentication flows, token management, and identity propagation. Defence‑in‑depth awareness to avoid security gaps.

API, Event & Data Design: API design and OpenAPI contracts; event emission design for structured downstream consumption covering observability, audit, and metering. Multi‑tenant patterns: tenant isolation, scoped data access, per‑tenant configuration. PostgreSQL at production scale: schema design, query optimisation, and data modelling.

Code Quality & Standards: Define well‑structured, testable, and observable code foundations; review critical code, identify systemic quality issues, set engineering bar.

Workflow orchestration: Temporal or equivalent event‑driven patterns; design agents integrating correctly with platform workflow layer.

Observability: trace standards, structured logging, Langfuse.

Nice to Have

• LangChain and LangGraph – agent orchestration frameworks for multi‑step agent graphs, tool use, and state management.
• Familiarity with AI‑native SDLC and Human‑led Agentic SDLC practices.
• Production experience in Python for deeper code review and hands‑on contribution to the agent codebase.
• Azure certification demonstrating cloud platform depth.
• Financial close or R2R domain experience to accelerate ramp‑up.

Learn & Gain

End‑to‑end ownership of the technical architecture layer on a live enterprise financial platform; deep hands‑on experience in distributed systems, cloud‑native engineering, and event‑driven architecture in production; exposure to building AI agent infrastructure in a SOX‑governed environment; close collaboration with engineering managers, tech leads, and platform architects in a fast‑moving, squad‑based delivery model.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.