Senior Site Reliability Engineer

Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.

• 5+ years professional experience in site reliability engineering, DevOps, or platform engineering roles.
• Strong Kubernetes experience: cluster operations, networking (Ingress, network policies), storage, autoscaling, and hands-on troubleshooting across production environments.
• Solid Infrastructure as Code experience with Terraform; familiarity with Bicep or ARM templates is a plus.
• Production experience with Azure cloud services: AKS, ACR, Key Vault, Azure Monitor, Application Insights, Virtual Networks, and Private Endpoints.
• Strong observability experience: Prometheus, Grafana, centralized logging, alerting configuration, and distributed tracing instrumentation.
• Working knowledge of SLO/SLI methodology: error budget principles, reliability target setting, and capacity planning.
• Structured incident management experience: on-call ownership, blameless post-incident review, and runbook authorship.
• Scripting and automation proficiency in Python or bash for toil elimination and operational tooling.
• Strong CI/CD experience: GitHub Actions and ArgoCD or equivalent GitOps tooling.
• Comfortable in agile, iterative delivery environments with personal ownership and accountability for platform reliability.
• Clear communicator across global, cross-functional stakeholders; able to translate technical reliability metrics into business impact for non-technical audiences.
• Proactive learner with pragmatic adoption of AI-assisted developer tools (e.g., GitHub Copilot, Claude Code) to improve automation coverage and delivery velocity.

Nice to have:

• Kubernetes certifications: CKA or CKAD.
• Experience supporting AI or ML infrastructure workloads: GPU scheduling, model serving platforms, or inference pipeline operations.
• Exposure to chaos engineering practices and fault injection testing.
• FinOps experience: reserved capacity planning, resource right-sizing programs, and cost attribution per team or workload.
• Service mesh experience (Istio, Linkerd) for traffic management and reliability patterns.
• Experience in regulated industries (insurance, finance, healthcare) where auditability, change traceability, and secure-by-default operations are standard practice.

• Define, instrument, and maintain SLOs and SLIs for platform components; own error budget tracking and produce regular reliability reports for hub leadership.
• Serve on the on-call rotation as the infrastructure escalation tier; lead incident response for cluster-level, network-level, and storage failures; chair blameless post-incident reviews.
• Implement and operate Kubernetes infrastructure (AKS): cluster lifecycle management, networking, resource quotas, autoscaling configuration, and multi-tenancy patterns across spoke namespaces.
• Develop Infrastructure as Code (Terraform) to provision and manage Azure resources with consistency, auditability, and repeatable rollback capability.
• Build and maintain observability infrastructure: Prometheus, Grafana, Azure Monitor, and Application Insights; own alerting rules, dashboards, and distributed tracing coverage across platform components.
• Perform capacity planning and cost-aware resource management: right-size node pools, tune vertical and horizontal pod autoscalers, and identify resource waste across namespaces.
• Identify and eliminate toil: automate repetitive operational tasks through scripting and tooling; measure and track toil reduction over time.
• Maintain platform reliability procedures: rolling upgrades, backup and recovery testing, disaster recovery runbooks, and change freeze coordination.
• Contribute to CI/CD pipelines and GitOps tooling (GitHub Actions, ArgoCD) from a reliability and deployment safety perspective; work with the Platform Team on release gates and rollback mechanisms.
• Collaborate with the Run & Change team on incident SLA targets and operational procedures; work with Security Engineers on infrastructure hardening and vulnerability remediation.