Team Lead - Platform Monitoring Engineer

The Impact You Will Have

Technical Leadership

• 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.

People Leadership

• 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.

What We Are 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.