SRE Lead

Qualifications

Degree in Computer Science, Software Engineering, IT, or a related technical field. 8+ years’ experience in software engineering, platform reliability, or SRE, including 3+ years in people leadership. Strong hands-on coding ability in Python, Go, or similar, with experience building automation and self-healing solutions. Proven experience leading enterprise-scale SRE or platform reliability functions. Experience defining and operating RTO/RPO and SLI/SLO frameworks. Strong background in observability, production readiness, error budgets, and chaos engineering. Experience leading on-call models, incident response, and executive stakeholder engagement. Solid understanding of SDLC, Agile, and DevOps delivery models. ITIL Foundation is desirable.

Managerial & Soft Skills: Proven people leader with experience building and coaching high-performing teams. Strategic thinker who can turn business priorities into reliability roadmaps. Strong communicator who can explain technical risk in business terms. Calm and decisive during major incidents. Influential partner across engineering, product, and leadership teams. Strong advocate for developer experience and sustainable on-call practices. Data-driven and able to balance reliability, speed, and cost. Champions psychological safety, continuous learning, and operational excellence.

Technical Skills: Expert in Dynatrace, with experience in observability, monitoring, SLOs, tracing, and log management. Proficient in Grafana, Prometheus, Splunk, ELK, Azure Monitor, and Log Analytics. Strong knowledge of OpenTelemetry and telemetry pipeline design. Experience with ServiceNow, CI/CD tools, Kubernetes, Docker, Terraform, and Bicep. Familiar with Java, .NET, databases, APIs, Kafka, and cloud platforms, especially Azure. Experience with AIOps, AI-assisted triage, and automation tooling. Able to support reliability engineering through scripting, auto-remediation, and operational automation.

Desired: Experience in insurance or financial services. Dynatrace, Azure, ITIL 4, or Google Cloud/SRE-related certifications. Experience with chaos engineering, AIOps, MLOps, and FinOps. Strong analytical skills and experience working with large operational datasets.