Team lead for platform monitoring engineering at Databricks Bengaluru, leading observability and proactive customer monitoring while staying hands-on technically.

This full-time Bengaluru role was posted on 28 October 2026. The listing describes a hands-on team lead shaping platform observability and proactive customer monitoring, balancing technical depth with people leadership: driving monitoring solutions, alerting mechanisms and customer-focused incident detection tools, while raising the bar of engineers around them. Technical leadership responsibilities include leading platform incident investigation across cross-functional teams and conducting post-incident root cause analysis to identify systemic patterns. The listing asks for a minimum of 6 years as an SRE, DevOps, CRE or production engineer, 2+ years leading engineers as a manager or team lead with mentorship responsibilities, and production experience with at least one major cloud provider plus container orchestration.

About Databricks

Databricks builds a data and AI platform around the lakehouse architecture, combining data warehousing and data lakes for analytics, data engineering and machine learning. The company was founded by the creators of Apache Spark.

Databricks has a large engineering presence in Bengaluru, with listings spanning platform engineering, monitoring and reliability, and customer-facing engineering roles. Learn more on Databricks's website.

The role in plain terms

The listing is explicit that this is a hands-on lead: you drive incident investigations and root cause analyses yourself while coaching the engineers around you. That combination suits a player-coach, and candidates who have fully stepped away from technical work will find the expectations mismatched. The customer-monitoring framing is distinctive - the goal is detecting customer-impacting issues before customers report them, which is a higher bar than internal alerting.

The team and the work

Per the listing, the role partners closely with cross-functional engineering teams to investigate and resolve incidents and champion solutions, so influence beyond your own team is part of the job. The cloud and container requirements are stated at production level, not familiarity.

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:

Minimum of 6 years of experience as an SRE, DevOps Engineer, CRE, Production Engineer, or similar role.
2+ years of experience leading engineers, whether as a people manager or team lead, with clear mentorship and coaching responsibilities.
Production-level experience with at least one major cloud provider (AWS, Azure, GCP) and proficiency in container and orchestration technologies (Docker, Kubernetes).
Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, PagerDuty, etc. Ability to architect monitoring solutions that correlate metrics, logs, and...
Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.
Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments.
Excellent communication skills, with the ability to influence cross-functional partners.
BS, Master's, or PhD in Computer Science or Computer Engineering, or a related Engineering field.

Who this role suits

SRE or production engineers with 6+ years, at least 2 leading engineers, who want to keep technical depth while leading. Strong fit for incident-command veterans. Not for pure people managers or for engineers without production cloud and container experience.

Practical notes

For incident-leadership roles, expect a deep walkthrough of a major incident you ran: detection, coordination, resolution and what the root cause analysis changed. Prepare to discuss how you coach engineers through incidents rather than taking over.

Working at Databricks

Work at Databricks centres on large-scale data systems: query engines, orchestration, observability and the infrastructure that runs customer data and AI workloads.

How to apply

Apply directly on the employer's site: Team Lead - Platform Monitoring Engineer at Databricks. We found this listing on the Greenhouse public job board (databricks.com), where it was posted on 28 Oct 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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This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.