Description
We are seeking an experienced, hands-on Team Lead to shape the future of platform observability and proactive customer monitoring.
The successful candidate will balance technical depth with people leadership: driving monitoring solutions, alerting mechanisms, and customer-focused incident detection tools, and raising the bar of the engineers around them.
The Impact You Will Have
Technical Leadership
- Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimise 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.
- 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.