What You Bring

• 5–7 years of professional engineering experience, with at least 3 years in SRE, Platform Engineering, or strongly reliability-focused DevOps work.
• Strong hands-on experience with centralized log management platforms — ingestion, parsing, structured logging, and retention using ELK/OpenSearch, Datadog Logs, Loki, or similar.
• Able to diagnose incidents through log analysis across both Linux and Windows environments, isolating root causes under pressure.
• Designs alerting systems with tiered thresholds that minimize noise while catching real problems early, with clear escalation paths.
• Proficient with Datadog across APM, dashboards, monitors, log management, and SLO tracking.
• Experienced defining and operating SLOs, SLIs, and error budgets for customer-facing services.
• Can isolate and resolve latency and inefficiency across edge, application, and backend layers — profiles before guessing, measures every fix.
• Comfortable scripting in Python, Bash, or Go to automate alerting, diagnostics, and toil reduction.
• Hands-on experience operating services on Kubernetes, EKS preferred.
• Familiar with Infrastructure-as-Code tooling such as Terraform for collaboration with the DevSecOps team.
• Evidence-driven — profiles and measures before guessing; validates every optimization against before/after data.
• Reliability-oriented — treats detection speed and signal quality as first-class engineering problems.
• Good communicator — works with product squads to define SLIs and explains reliability constraints clearly.
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