This is not a traditional operations role.
What you’ll be doing:
Design, deploy, and maintain the reliability, availability, and performance of critical JumpCloud systems and APIs across AWS and GCP.
Operationalize SLIs, SLOs, and error budgets in direct partnership with core application teams.
Build and refine end-to-end observability across microservices and cloud infrastructure using tools like Datadog.
Implement actionable monitoring across Golden Signals (Latency, Traffic, Errors, Saturation) to optimize detection (MTTD) and minimize alert fatigue.
Participate in on-call rotations, incident response, and blameless post-incident reviews to drive continuous systemic improvements.
Manage and operationalize production Kubernetes (EKS) clusters utilizing GitOps delivery workflows (Argo CD, Kargo).
Provision and secure multi-cloud infrastructure using modular Terraform (Infrastructure-as-Code).
Develop and maintain Disaster Recovery (DR) dashboards, runbooks, multi-region failover automation, and validation tests to ensure alignment with defined RTO and RPO targets.
Eliminate operational toil by writing production-grade Python or Go scripts and automation tools.
Leverage AI-assisted development tools (Cursor, Claude Code, GitHub Copilot) to accelerate scripting, runbook generation, and incident triage.
We’re looking for:
5+ years of professional software engineering experience in SRE, DevOps, or Platform Engineering operating 24/7 mission-critical systems.
Python/Go Proficiency: Hands-on capabilities writing code for SRE tools, custom automation, and cloud integrations.
Kubernetes Ecosystem: Production experience with Kubernetes cluster operations, container orchestration, and GitOps pipelines (Argo CD).
Infrastructure as Code: Solid experience writing, maintaining, and modularizing Terraform configurations.
Cloud Architecture: Direct experience operating cloud workloads on AWS (EKS, IAM, VPC networking, Route53, ALB/NLB) or GCP.
FinOps & Cost Visibility: Practical experience setting up cost-allocation tagging, resource right-sizing, and building FinOps dashboards to visualize cloud spend.
Disaster Recovery & Monitoring: Experience building DR dashboards, running failover drills, and configuring monitoring tools to track system health and recovery metrics
Observability & Incident Management: Practical experience with Datadog (or similar), PagerDuty, alerting hygiene, and working within SLI/SLO frameworks.
Solid operational experience configuring and troubleshooting production service meshes (Istio or similar) and managing high-availability proxy solutions (HAProxy, NGINX, or similar).
Problem Solving & Mindset: Strong troubleshooting skills, effective collaboration, and a track record of driving operational efficiency through code.
A strong team player who helps us live by our core values: building connections, thinking big, and getting 1% better every day.
Preferred Qualifications:
Experience with CI/CD tools such as GitHub Actions or GitLab Pipelines.
Basic understanding of chaos engineering principles or testing resilience in staging/production.
Familiarity with secrets management tools (HashiCorp Vault, AWS Secrets Manager, External Secrets Operator).
Basic knowledge of DevSecOps tools and scanning/fixing infrastructure-as-code vulnerabilities.
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