About the role
Responsibilities:
- Technical Leadership - Lead a pod of 5-8 engineers across backend and frontend.
- Architect and review, not just approve.
- Delivery - Drive sprint cadence, unblock bottlenecks, and ship features that enterprise customers stake their operations on.
- AI Tooling Adoption - Champion the use of AI coding tools across your team. Measure productivity. Present findings. Drive decisions.
- Quality and Reliability - Own the team's quality bar: automated test coverage, performance benchmarks, RCA rigour.
- Mentorship - Run 1:1s with intent. Grow senior engineers toward staff, mid-level toward senior. Make learning a team ritual.
- Cross-Team Influence - Work with Principal Architects, Product, and CSM to shape roadmap, surface technical risks, and defend the right calls.
Requirements:
- 8-14 years of software engineering experience with at least 3 years leading a team.
- Deep hands-on backend experience (Java preferred; Python acceptable).
- Proven ability to design and deliver distributed, multi-tenant SaaS systems.
- Experience with SQL and NoSQL databases at production scale.
- Demonstrable use and measurement of AI coding tools in a team context.
- Strong written and verbal communication; you will interact with enterprise customers and founders.
- B. E / B. Tech in CS, IS, ECE or equivalent demonstrable experience.
- A fundamentally strong, unbounded problem solver, someone who sees a hard constraint and looks for a way around it, not a reason to stop.
- Bonus: awareness of Operations Research techniques linear programming, heuristics, metaheuristics, VRP variants.
- You do not need to know all of this. You need to lead engineers who do, and you need to learn fast what you do not.
Skills:
- Backend: Java, Python.
- Messaging: Apache Kafka.
- Databases: PostgreSQL (PGBouncer), MongoDB, Redis / Hazelcast, ClickHouse, Elastic
- Search.
- Cloud: Azure (AKS, ADLS, Service Bus).
- Frontend: React, Redux.
- AI/ML: Familiarity with embedding pipelines, RAG, and agentic frameworks is a bonus.
- CI/CD: Azure DevOps, Bitbucket Pipelines.