Engineering Team Lead
Thena · Bengaluru · onsite · Posted 70d ago
About a minute. You'll make an account on the way through.
About this role
Lead a small engineering team building high-volume, data-intensive systems that transform complex enterprise data into accurate, machine-readable outputs. You'll work closely with the founder on architecture and own system reliability, scalability, and correctness.
This is not a pure people-management role. You'll remain deeply hands-on with architecture, production systems, and technical decisions. You'll also be expected to operate effectively in ambiguity and challenge existing architectural decisions when needed.
Responsibilities:
- Drive architecture across TypeScript/NestJS workflows and Python data/AI services.
- Build reliable long-running workflows with durable execution, retries, and idempotency.
- Design scalable data processing using Polars, DuckDB, Parquet, and streaming.
- Build evaluation and regression frameworks to measure AI/system accuracy.
- Own production systems running in customer cloud environments.
- Lead hiring, code reviews, technical decisions, and mentor engineers.
- Maintain clean boundaries between workflow orchestration, AI/agent execution, and bulk data processing.
Requirements:
- 5-7 years building backend, distributed, or data-intensive systems.
- Strong expertise in Python or TypeScript, with working proficiency in the other.
- Experience taking systems from design production and ongoing ownership.
- Strong understanding of distributed systems, retries, idempotency, failures, and long-running workflows.
- Hands-on experience with high-volume data processing.
- Engineering leadership experience mentoring, reviewing, and raising technical standards.
- Strong focus on correctness, observability, and production reliability.
- Tech Stack: Python, TypeScript, NestJS, Temporal, LangGraph, Polars, DuckDB, Parquet, Pydantic, PostgreSQL, Redis, Azure, Docker, Terraform/Bicep, React
Strong Plus:
- Temporal or similar workflow orchestration platforms.
- LLM/AI systems with measurable evaluation.
- Polars, DuckDB, Arrow, Parquet.
- Azure and enterprise cloud environments.
- LangGraph / agentic workflows.
- Docker, Terraform/Bicep, OpenTelemetry.
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