Tekion Corp
Website:
tekion.com
Job details:
Role:Engineering Manager/Sr Engineering Manager-Backend - AI
Location:Bangalore
Tekion is looking for a talented Engineering Managers/Sr Engineering Managers who wants to be part of building the next- generationbusiness applications on the cloud.Software Engineer will use his/herpassion and expertise for creating world-class products. He/she will collaborate with the product and engineering teams and development managers to createthe business application of the future.
Key Responsibilities
- Directly lead the TAMC engineering team (~20 engineers): two Scrum teams, Staff/Senior engineers, Applied ML, and Staff SDET — with the expectation of building out a management layer as the org scales.
- Own delivery accountability: sprint cadence, cross-team dependency management, risk tracking, and executive reporting on engineering progress.
- Set and enforce technical standards: hexagonal architecture discipline, AI-native integration patterns, code quality gates, and observability standards across both teams.
- Act as the primary engineering counterpart to product and business partners across India and US time zones — translate business requirements into engineering execution plans, surface trade-offs early, and maintain shared understanding of what is being built and why.
- Own the cross-team coordination interface to platform teams (Agentic Engine, Core Platform, ARC backend, Design) — ensuring TAMC’s dependencies are tracked, escalated, and resolved on schedule.
- Hire, develop, and retain top engineering talent: own the full hiring pipeline, define career ladders, conduct performance reviews, and make compensation decisions.
- Drive the technical roadmap for the next wave of AI capabilities in partnership with the ML Architect, Applied Scientist, and Product leadership.
- Maintain technical depth: actively participate in architecture reviews, challenge design decisions, and unblock engineers on complex distributed systems and AI integration challenges.
- Build and sustain a high-trust, high-accountability engineering culture where engineers feel ownership, psychological safety, and pride in their craft.
Skills & Qualifications
- 12+ years of software engineering experience with 5+ years of engineering leadership — managing managers and leading teams of 15+ engineers
- Deep technical background in Java backend systems, distributed microservices, and event-driven architecture — able to engage credibly in architecture reviews and design decisions.
- Proven track record building and operating SaaS platforms on AWS with multi-database stacks (MongoDB, PostgreSQL, Kafka, Elasticsearch, Redis/Aerospike).
- Demonstrated experience with hexagonal architecture at scale — enforcing domain isolation as teams and services grow.
- Experience partnering closely with ML/AI teams on production AI systems — comfortable driving technical decisions across LLM integration, agentic pipelines, and AI-native product architectures.
- Strong cross-functional leadership: experience working closely with Product Management, Design, and executive stakeholders across geographies (US-India distributed teams).
- Track record of recruiting and developing senior engineering talent — building teams from the ground up in competitive markets.
- Experience delivering in fast-paced, high-ambiguity environments with evolving platform dependencies and shifting priorities.
Good to Have
- Experience leading engineering teams building AI-native products (LLM integration, agentic systems, scoring pipelines, MCP tool design).
- Background in martech, customer data platforms, or dealer/automotive technology.
- Prior experience managing both backend and frontend engineering disciplines within the same org.
- Exposure to Temporal for durable workflow orchestration at the team level.
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