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Salary
≈ $52k – $126k per year (Estimated)
Location
In office (Chennai)
Seniority
Architect · 14+ years exp

First seen by Alion on Oct 22, 2026. Tekion scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Tekion is an American automotive software company founded in 2016 by a former Tesla chief information officer to replace the ageing dealer management systems car retailers run on. Its Automotive Retail Cloud handles the whole dealership in one system, covering sales, financing and insurance, parts, service scheduling and accounting, and it connects manufacturers, dealers and customers on shared data rather than through nightly file transfers. Headquartered in Pleasanton and privately held at a multi-billion dollar valuation, it competes with the long-established dealer software incumbents CDK and Reynolds and Reynolds.

We are seeking an Engineering Director to lead the full Chennai engineering organisation: two Scrum teams, shared platform resources (Architect, ML Engineer, SDET), and a team of ~20 engineers across backend, frontend, AI, and QA disciplines. This is a P0 hire: the most critical leadership role for Phase 1 execution. You will own delivery accountability, team health, technical quality, and the cross-team coordination that keeps two Scrum teams moving in the same direction. You will be the primary technical counterpart to the US-based Product leader.


Responsibilities:

  • Lead the full Chennai engineering organisation (~20 engineers): two Scrum teams, two Engineering Managers, Staff/Senior engineers, Applied ML, and Staff SDET.
  • 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 technical counterpart to US-based Product leadership, 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 Phase 2 in partnership with the ML Architect, Applied Scientist, and Product leadership, shaping the next wave of AI capabilities.
  • 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 environment.


Requirements:

  • 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.
  • 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.

Skills

AWS, Kafka, event-driven, java, microservices

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