Technical Lead Manager

Hevo Technologies; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Hevo Technologies in Pune seeks an experienced backend leader to head a high-impact team building AI-enabled platform services and real-time data connectors. You will shape architecture, guide engineers, and drive production reliability and scale.

You will own multi-tenant systems, on-call readiness, and hard problems in data pipelines, with direct access to engineering leadership and a scope that grows with the company.

Qualifications

• 8+ years on backend or distributed systems.
• At least a year leading a team, and it doesnt have to have been official. If youre already the person everyone goes to, that counts
• Youve 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
• Youve built something with LLMs rather than just used a coding assistant. Agents, evaluations, retrieval, prompt systems in production, any of it
• You can explain a complicated system to someone who isnt an engineer
• You've given someone hard feedback and kept the relationship afterwards

Responsibilities

• Lead the backend/AI connector team building platform services and connectors.
• Architect pipelines into the modern data stack with scale and reliability.
• Ensure observability, security and auditability as defaults in production environments.
• Tackle hard problems underneath and drive a culture of quality.

Skills

Backend leadership

Distributed systems

On-call incidents

LLMs in production

Tools

Kafka

Kubernetes

Java

SQL/Datastores

Job description

Read this first

Youre 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 youre on the thread whether or or not youre on-call. Juniors ask you about their careers even though nobody made that your job.

What wed like to add is a team thats 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 wed rather say that plainly than pretend otherwise. In 12 to 18 months youre either running a bigger team as an EM or youve worked out that youd rather go deep, in which case Staff and Principal are open. Either way you wont be stuck.

Youd be running an AI-native team

• Youll build the AI connector framework.
• AI runs through every workflow, not just the product.
• Real scale behind it.
• The day job changes.

What youll actually be building

• Platform services and database connectors that carry real weight.
• Pipelines into the modern data stack.
• Observability, reliability, security and auditability as defaults.
• The hard problems underneath.

Whats in it for you

• You get to decide.
• Your scope grows as fast as the company does.
• You get direct access to engineering leadership.
• You dont have to stop writing code.
• Youll learn something most engineers cant yet.

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
• Youve hired two or three engineers yourself and theyre shipping
• At least one person on your team has been promoted

What were looking for

• 8+ years on backend or distributed systems
• At least a year leading a team, and it doesnt have to have been official. If youre already the person everyone goes to, that counts
• Youve 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
• Youve built something with LLMs rather than just used a coding assistant. Agents, evaluations, retrieval, prompt systems in production, any of it
• You can explain a complicated system to someone who isnt an engineer
• Youve given someone hard feedback and kept the relationship afterwards

About Hevo

Pinterest, Gartner, Shopify, Iceland Air and Jawa Motorcycles run their data on Hevo, along with about two thousand other companies across 40+ countries. We move data from 150+ sources into Snowflake, BigQuery and Databricks without the customer writing code or putting an engineer on it.

Series B, $43 million raised from Sequoia Capital, Chiratae and Qualgro. San Francisco and Bangalore, with the platform built here.

Were not the biggest company you could join. We are one of the few where the engineering is hard, the team is growing fast enough that your scope grows with it, and the person building the system decides how it gets built.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.