Site Reliability Engineer

• Triage and respond to escalated platform issues, working collaboratively with engineering and infrastructure teams to identify root causes and drive resolution
• Develop and maintain operational runbooks and playbooks, contributing to a growing knowledge base alongside senior staff

• Own the monitoring and alerting stack (Datadog) — identify coverage gaps, tune alert thresholds, reduce noise, and eliminate client-discovered outages
• Track and improve MTTR, availability, and change failure rate metrics
• Define and propose SLOs for client-facing services based on actual observability data
• Build dashboards that give leadership visibility into platform health

• Operate EKS clusters day-to-day: investigate sync failures, pod health issues, node problems, failed deployments
• Operational ownership of Kafka (Strimzi — consumer lag, broker health), Knative (autoscaler, scaling events), and DynamoDB-backed services
• Monitor cross-account drift as new tenant accounts come online
• Support tenant onboarding from an operational readiness perspective

• Work closely with VP of Infrastructure during ramp period to absorb platform knowledge
• Document operational procedures and contribute to the team knowledge base
• Mentor junior team members as the team grows
• Contribute to post-incident reviews and drive continuous improvement

• 3–5+ years in a site reliability, DevOps, or platform engineering role
• Strong Kubernetes operational experience (EKS preferred) — you've troubleshot pod failures, node issues, and deployment rollbacks in production
• Experience with monitoring and alerting platforms (Datadog preferred; Prometheus/Grafana acceptable)
• Familiarity with incident response processes — you've responded to production incidents
• Ability to read and understand Terraform and Helm charts (you don't need to author complex modules, but you need to navigate them)
• Comfortable with GitOps workflows (ArgoCD or Flux)
• Strong written communication — runbooks, post-incident reviews, and documentation are core deliverables of this role

• Kafka operational experience (consumer lag diagnosis, broker health, partition rebalancing)
• Knative or serverless-on-Kubernetes experience
• DynamoDB operational familiarity (throttling, capacity management, GSI patterns)
• Experience with AI-assisted development tools (e.g. Kiro, GitHub Copilot, or similar) and willingness to integrate AI tooling into operational workflows
• Healthcare or compliance-adjacent environment experience (HITRUST, SOC 2, HIPAA)
• Experience defining and implementing SLOs/SLIs

• High-visibility role with direct impact on platform reliability and growth
• Direct mentorship from senior infrastructure leadership during ramp
• Clear growth path: this role is scoped to grow into a senior SRE position as the team scales
• Modern stack: EKS, ArgoCD (GitOps), Strimzi Kafka, Knative, DynamoDB, Datadog, Terraform Cloud
• Impact on a platform serving enterprise healthcare clients — your reliability work directly affects patient care quality

EKS

ArgoCD

Kafka

Knative

Datadog

Terraform