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    Job · 18865154

    PUNE · FULLTIME

    Technical Lead

    Hevo Data logo

    Hevo Data

    Pune · onsite · Posted 30d ago

    Sourced fromInstahyre
    Not disclosed8–10 yrsfulltimePune

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    You're probably already doing most of this job without the title. People bring designs to you before they build; your review is the one that catches things, and when something breaks late at night, you're on the thread whether or not you're on-call. Juniors ask you about their careers even though nobody made that your job.

    What we'd like to add is a team that's actually yours, a real say in who joins it, and the authority to decide how your part of the system gets built. TLM is the step before Engineering Manager, and we'd rather say that plainly than pretend otherwise. In 12 to 18 months, you're either running a bigger team as an EM, or you've worked out that you'd rather go deep, in which case Staff and Principal are open. Either way, you won't be stuck.


    Responsibilities:

    • Platform services and database connectors that carry real weight. You'll lead the development of highly scalable, reliable, and secure platform services and database connectors that power mission-critical data pipelines for thousands of enterprise customers. When a connector breaks, someone's revenue reporting is wrong that morning, and they know it.
    • Pipelines into the modern data stack. These pipelines connect to warehouses like Snowflake, BigQuery, and Databricks, as well as data lakes like Apache Iceberg. Each destination has its own semantics, its own failure behavior, and its own performance envelope, and your team owns getting all of them right.
    • Observability, reliability, security, and auditability as defaults. These get embedded into everything your team ships rather than bolted on when a customer asks. You set that standard, and you hold the line on it.
    • The hard problems underneath. Exactly-once delivery when any component can fail. Multi-tenancy where one customer's load never touches another's. Schema changes are arriving mid-flight from a source system that gave no notice. None of these get solved once.


    What's in it for you:

    • You get to decide. Architecture in your area, what the framework does and doesn't do, where AI is the right tool and where it honestly isn't, and the hiring bar for your team. You won't be writing recommendations and waiting for someone else to approve them.
    • Your scope grows as fast as the company does. Engineering is up 30 percent in the last four to five months, and that continues. Start with five engineers, and you'll be running a considerably bigger team by the time you're done. That isn't on offer at a company standing still.
    • You get direct access to engineering leadership. No manager three levels down carrying your work upward. You'll be in the room when the calls get made, which is the fastest way to learn how to make them yourself.
    • You don't have to stop writing code. Roughly 60 percent of your week stays technical. Nobody here is going to quietly take the code away from you over four quarters.
    • You'll learn something most engineers can't yet. How to run a team where AI is embedded in the work rather than sitting next to it. In two years, that will be expected of every engineering leader, and most people will pick it up late and secondhand.


    Requirements:

    • 8+ years on backend or distributed systems.
    • At least a year leading a team, and it doesn't have to have been official. If you're already the person everyone goes to, that counts.
    • You've run something in production and been there when it broke. On-call, incidents, SLAs.
    • Strong Java or another JVM language, with Kafka and Kubernetes in production.
    • Real experience with multi-tenant systems, high availability, or data at volume.
    • You've built something with LLMs rather than just used a coding assistant. Agents, evaluations, retrieval, prompt systems in production, and any of it.
    • You can explain a complicated system to someone who isn't an engineer.
    • You've given someone hard feedback and kept the relationship afterwards.


    What a good first year looks like:

    • The framework is generating production connectors, and the quality bar is set by evaluations you designed.
    • Shipping a new connector takes a fraction of the time it does today, and you can prove it with a number.
    • You've hired two or three engineers yourself, and they're shipping.
    • At least one person on your team has been promoted.

    Sourced from instahyre

    Section · 02

    Skills

    C plus plusGolangData StructuresJava

    Section · Company

    About Hevo Data

    Hevo Data logo

    Hevo Data

    Software Product

    250

    employees

    2017

    9 years old

    Bangalore / Bengaluru, Karnataka

    India

    ₹17.4L PA avg

    Avg at Hevo Data

    About

    An end-to-end data pipeline platform that enables you to easy pull data from all your sources to the warehouse, run transformations for analytics, & deliver operational intelligence to business tools.

    Industries

    Software Product

    Employee ratings

    10 reviews

    3.7/ 5

    Culture

    3.0

    Career growth

    2.6

    Work-life

    3.9

    Employees rate it well for

    Work-Life Balance37Overall Company37

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