Staff Site Reliability Engineer

Overview

Staff Site Reliability Engineer on the Digital Interconnection (DIGIN) SRE team, a technical contributor responsible for reliability standards, complex designs and incident response for the platforms behind Fabric, Internet Access, Application Connect and MCP servers.

What you'll do

• Define and run SLOs, SLIs and error budgets, and drive reliability improvements from the data.
• Lead incident response for P0/P1 events, run blameless post-incident reviews, and follow up on corrective actions.
• Design, build and operate Kubernetes platforms on AWS and on bare metal servers, including cluster lifecycle, upgrades and capacity planning.
• Build and improve CI/CD and GitOps pipelines (GitHub Actions, Argo CD) and infrastructure as code (Terraform, Ansible).
• Extend the observability stack (Grafana Cloud, OpenTelemetry, Prometheus, Loki, Tempo) from services down to the hardware layer.
• Automate repetitive operational work, including with AI-assisted tooling such as the SRE Bot and MCP servers.
• Lead production readiness reviews, resilience and chaos testing, and disaster recovery exercises.
• Partner on security and compliance practices such as secrets management (Vault), image and dependency scanning, and identity and access.
• Support and guide developers and contribute to the team's technical direction.

What you'll need

• 5+ years in SRE, DevOps or infrastructure engineering, with demonstrated technical leadership.
• Deep, hands-on Kubernetes experience in production, including cluster operations, networking and troubleshooting.
• Strong coding or scripting skills in at least one of Python, Go or Java, plus Bash.
• Experience with infrastructure as code, CI/CD and GitOps (for example Terraform, Ansible, GitHub Actions, Argo CD).
• Strong observability skills: metrics, logs and traces, SLO-based alerting, and dashboards.
• Experience running 24×7 production services, including on-call and incident command.
• Solid grounding in Linux, networking (L2/L3, load balancing, service mesh) and cloud platforms, preferably AWS.
• Clear written and verbal communication, and comfort working across time zones.

Nice to have

• Istio or another service mesh, Rancher, kube-vip or similar HA tooling.
• Experience operating infrastructure across geographically distributed sites.
• Experience with Kafka, Cassandra, Temporal, Postgres or AuroraDB.
• Chaos engineering experience and multi-region or active-active designs.
• Experience applying AI or LLM tooling to operations and incident triage.