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Trintech Solutions Private Limited (India) is looking for an Engineering Manager in Bengaluru to lead the Agent Stream at their AI Platform. This pivotal role involves end-to-end delivery across multiple squads, requiring strong technical oversight and people leadership skills.
The successful candidate will hire and develop engineers, ensure delivery outcomes, and maintain engineering standards. Familiarity with Kubernetes, Docker, and a programming language like Python is essential. A certification in Azure is preferred.
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.
We are looking for an Engineering Manager to lead the Agent Stream at Trintech’s AI Platform. You will own delivery across multiple Agent Development Squads, each building AI agents that power the Autonomous Financial Close. This is a leadership role that requires equal technical depth and people leadership. You are the Direct Responsible Individual (DRI) for the Agent Stream — when delivery is off track you own identifying it, communicating it, and resolving it. You work closely with the Software Architect on technical direction, with Product Owners on backlog sequencing, and with the Director of Engineering on stream strategy and hiring.
Own end‑to‑end delivery across all Agent Stream squads — sprint cadence, dependency management, release readiness, and cross‑squad coordination. Be the DRI for Agent Stream outcomes — identify risks early, communicate clearly to the Director of Engineering, and resolve blockers before they affect delivery. Partner with the Software Architect on technical direction — ratify architecture decisions and ensure squads build on solid foundations. Work with Agent Stream Product Owners to sequence backlog priorities — bring engineering judgement to product trade‑off conversations and own the Agent Stream engineering roadmap in alignment with the platform product roadmap.
Hire, onboard, and develop engineers across the Agent Stream — FTEs and contractors, across all seniority levels. Build and sustain a high‑performance engineering culture. Conduct regular 1:1s, performance conversations, and career development discussions. Manage performance proactively — recognise high performers, course‑correct early, and make hard calls when needed. Foster collaboration across squads and streams — Agent, Platform, Data, and Intelligence streams share dependencies and require active coordination.
Maintain sufficient technical depth to engage credibly in architecture reviews, design discussions, and trade‑off decisions. Able to step into code when needed — primary mode is technical oversight, not production delivery. Review and challenge technical proposals from squad Tech Leads — raise the right questions, identify risks, and validate proposals rather than simply approve them. Ensure engineering standards are maintained across squads — code review practices, test coverage, observability standards, and production‑readiness gates. Stay current on the AI and agent engineering landscape — bring informed perspectives on tooling, practices, and the Human‑led Agentic SDLC.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability.