Employer description & source details
Design, build, and operate Mercari's observability platform - covering metrics, logs, traces, and alerting at scale. Drive measurable improvements in Mean Time to Detect (MTTD) and Mean Time to Mitigate (MTTM) across all services. Build AI-powered solutions for automated anomaly detection, alert correlation, and incident response assistance. Develop self-service observability tooling that enables product engineers to instrument, monitor, and alert on their services independently. Define and champion observability standards, best practices, and SLO frameworks across the engineering organization. Collaborate with other platform teams, SRE, Security, and product engineering teams to ensure comprehensive system visibility and reliability. Automate operational workflows to reduce toil and improve the team's efficiency. Lead technical decisions, mentor team members, and actively shape the engineering culture within the observability team. 9+ years of experience building, operating, and maintaining scalable production systems. Strong expertise in observability and monitoring platforms (Datadog, Prometheus, Grafana, or similar) in production environments. Hands-on experience with Kubernetes and container orchestration in production. Proficiency in Go or Python for building infrastructure tooling and services. Experience with cloud platforms (GCP and/or AWS) and Infrastructure as Code (Terraform). Deep understanding of metrics, logging, and distributed tracing, including instrumentation patterns and data pipeline design. Experience designing and tuning alerting systems to reduce noise and improve incident detection. Strong understanding of SLIs, SLOs, and error budgets as reliability frameworks. Proven ability to develop internal tools and platforms that improve developer produc
Extracted skills: python, go, aws, gcp, kubernetes, terraform, security