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    Job · 11193507

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    Engineering Team Lead

    Thena · Bengaluru · onsite · Posted 70d ago

    Not disclosed4–8 yrsfulltimeSourced fromInstahyre

    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.

    Sourced from instahyre

    Skills

    nestjsTemporalData StructuresPythonJavascriptTypescriptReact.JsAlgorithmsArchitectureLangchaindistributedworkflowBackenddata-intensive

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