Team Lead - Platform Monitoring Engineer
Databricks · Posted Oct 28
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks is the Data and AI company, offering a unified Data + AI Platform used by more than 20,000 organizations. This role sits with the platform observability and proactive customer monitoring function, focused on platform reliability, incident response, and customer-focused incident detection. The Team Lead will drive monitoring solutions, alerting mechanisms, and observability workflows, lead incident investigation and root cause analysis, and grow the local team of Platform Monitoring Engineers in Bengaluru.
What you will do
- Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.
- Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences.
- Guide the design and implementation of customer-focused alerting pipelines and end-to-end observability workflows that expand detection coverage and reduce mean time to detection.
- Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.
- Participate in and help structure the on-call rotation, leading by example during high-severity incidents.
- Collaborate with internal customer stakeholders to design and execute the customers' reliability plan, focusing on observability and monitoring.
- Participate in growing the local team of Platform Monitoring Engineers, including hiring and onboarding.
- Act as the local point of leadership and a connection to the broader global team, aligning local execution with global goals.
Skills used in this role
What the employer is looking for
- 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 traces.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
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Databricks Newsroom
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Forbes
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