Software Engineering Architect (Platform)

Trintech Solutions Private Limited (India); Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Trintech Solutions Private Limited (India) is seeking a Software Architect to lead the technical architecture of their AI Platform. This pivotal role involves designing security systems, multi-tenant data architecture, and an event-driven backbone to ensure compliance and efficiency.

The ideal candidate will have expertise in security architecture, experience with multi-tenant SaaS systems, and a strong background in cloud technologies. Collaborating closely with engineering and architecture teams, this role offers significant influence on the architecture of a live enterprise AI product.

Qualifications

• Expertise in defence-in-depth design and OAuth 2.0.
• Experience with designing multi-tenant systems at production scale.
• Familiarity with AI-native SDLC and human-led development practices.

Responsibilities

• Own end-to-end technical architecture of the Platform Team.
• Design and maintain security architecture across the platform.
• Collaborate with the Agent Stream Architect for alignment between platform and agent capabilities.

Skills

Security Architecture expertise

Multi-tenant SaaS & System Design experience

Event-driven architecture knowledge

API gateway expertise

Cloud-native experience

SQL and NoSQL database skills

Production experience in Python

Education

AWS or Azure certification

Tools

Kubernetes

Docker

Helm

CI/CD

Job description

Position Overview

Trintech is a leading provider of AI financial close management, helping finance teams eliminate manual burdens, strengthen controls, and drive strategic decision‑making. We are looking for a Software Architect to own the technical architecture of the Platform Team at Trintech’s AI Platform.

Responsibilities

• Own end‑to‑end technical architecture of the Platform Team: security & IAM layer, multi‑tenant data architecture, event‑driven backbone, API gateway design, and compliance framework.
• Design and maintain the security architecture: defence‑in‑depth, federated authentication, OAuth 2.0 flows, token management, and identity propagation across the platform.
• Design the multi‑tenant data architecture: tenant isolation strategy, data partitioning, shared vs. dedicated resource models, and cross‑tenant security boundaries.
• Design the event‑driven backbone: message ordering guarantees, delivery semantics, workflow orchestration patterns, and cross‑agent handover contracts.
• Own immutable data and append‑only event design as the foundation for audit and compliance.
• Define the API gateway architecture: gateway policies, API‑first design principles, maturity model, and how platform capabilities are exposed to agent consumers.
• Hands‑on technical delivery: build foundational platform components, review critical pull requests, lead design sessions, and set the engineering quality bar through example.
• Collaborate with the Agent Stream Architect on boundaries, ensuring platform and agent capabilities are properly aligned.
• Ensure platform resilience: design for failure isolation, retry strategies, bulkhead patterns, and graceful degradation.
• Define engineering standards: API contract design, event schema governance, security controls, and compliance‑grade system design.
• Define code‑quality standards for the Platform Team.
• Identify and mitigate architectural risks proactively, including security gaps, scalability bottlenecks, and dependency failures.

Qualifications

• Security Architecture: expertise in defence‑in‑depth design, OAuth 2.0, federated authentication, token lifecycle, and identity propagation on multi‑tenant platforms.
• Multi‑tenant SaaS & System Design: experience designing and operating multi‑tenant systems at production scale, with strong isolation and security boundaries.
• Event‑driven architecture and workflow orchestration: production experience with Temporal, Azure Service Bus, Kafka, or equivalent.
• Immutable data design and append‑only event patterns for auditability and compliance.
• API gateway expertise: one tool in production, API‑first design, rate limiting, and policy definition.
• Cloud‑native on at least one public cloud, preferably Azure: Kubernetes, Docker, Helm, CI/CD, and continuous release practices.
• SQL and NoSQL databases at production scale: data modelling, schema design, and query optimisation.
• Awareness of agent orchestration patterns and distributed system design to support platform services.
• Knowledge of LLM tooling concepts and how the platform must support agents.
• AWS or Azure certification is desirable.
• Prior experience building audit or billing capabilities is a differentiator.
• Familiarity with AI‑native SDLC and human‑led agentic development practices.
• Production experience in Python to aid code review and contribution.
• Financial close or R2R domain experience is a plus.

What You’ll Learn & Gain

• End‑to‑end ownership of the platform architecture layer on a live enterprise AI product.
• Hands‑on experience applying security architecture and multi‑tenant SaaS design from first principles in a production context.
• Build governance, billing, and marketplace infrastructure for an enterprise AI platform.
• Close collaboration with the Agent Stream Architect, Engineering Manager, and Platform Tech Leads.
• Opportunity to shape product commercialisation and compliance through platform design decisions.

Equal Opportunity Employer

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