Tech Lead Manager - Autonomous Connectors

Hevo Data

  • Pune, Maharashtra, India
  • Full-time
  • Posted 21 Sept 2026

Tech lead manager for autonomous connectors at Hevo Data in Pune, leading 4-6 engineers building an AI system that creates and maintains data connectors by itself.

This full-time Pune role was posted on 21 September 2026. The listing describes building an AI system that creates data connectors by itself and keeps them working by itself - work that traditionally takes weeks should take hours, with no engineer rebuilding connectors when a source API changes. You lead 4 to 6 engineers while staying deeply technical, with roughly 60 percent of your time hands-on across architecture, design, coding and debugging. Requirements include at least 8 years building backend, infrastructure or distributed systems, and at least 1 year of technical leadership experience, with or without the formal title.

About Hevo Data

Hevo Data is an Indian SaaS company whose no-code data pipeline platform moves, transforms and activates data in real time. Per its listings, it offers 150+ pre-built connectors and is used by more than 2,000 organisations, with compliance coverage including SOC 2, GDPR, CCPA, DORA and HIPAA.

Hevo is based in Bengaluru and hires across engineering, platform, security and compliance roles, per its listings. Learn more on Hevo Data's website.

The role in plain terms

The listing's own framing is the interview question: would you trust this system to run by itself, with nobody watching, for months? That tells you the hard problem is reliability and self-healing of AI-generated connectors, not generating them. The explicit 60-percent-hands-on split is honest player-coach scoping - rare clarity about what the management balance actually looks like. The 1-year leadership minimum with or without title is a low, deliberate bar.

The team and the work

Per the listing, connectors are Hevo's core product surface (150+ sources), so automating their creation and maintenance attacks the company's biggest scaling cost directly.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

  • You have at least 8 years of experience building backend, infrastructure or distributed systems.
  • You have at least 1 year of technical leadership experience, with or without the formal title.
  • You have operated production systems and dealt with incidents, on call, reliability and SLAs.
  • You have built and operated an LLM powered system in production where correctness, reliability, latency or cost mattered.
  • You have hands on experience with areas such as agents, evaluations, retrieval, tool use, model failure modes or reliability.
  • You have experience with multi tenant systems, high availability or large data volumes.
  • Our stack is primarily Java and Kubernetes. If you are strong in another JVM language or a similar systems language, you should be able to...
  • Experience with data infrastructure, CDC, ETL, database internals or open source systems is useful but not required.

Who this role suits

Backend or distributed-systems engineers with 8+ years and at least a year of technical leadership, who want to stay mostly hands-on while leading a small team. Not for managers who have left coding, or engineers uninterested in AI-system reliability problems.

Practical notes

For this role specifically, prepare a point of view on evaluating and trusting autonomous systems: monitoring, rollback, human-in-the-loop thresholds. The listing's trust question is likely literal interview material.

Working at Hevo Data

Engineering at Hevo centres on data pipeline infrastructure: connectors, streaming systems, and the AWS/GCP and Kubernetes platform underneath, per its listings.

How to apply

Apply directly on the employer's site: Tech Lead Manager - Autonomous Connectors at Hevo Data. We found this listing on the Lever public postings feed (jobs.lever.co), where it was posted on 21 Sep 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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