Site Reliability Engineer - India
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Site Reliability Engineer - India at JumpCloud, Remote (IN). Posted Sep 29, 2026, last seen on the employer's hiring page Nov 5, 2026. Mentioned in the posting: AI governance, AWS, GCP, Kubernetes.
All roles at JumpCloud® are Remote unless otherwise specified in the Job Description. About JumpCloud® JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent...
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About JumpCloud®
JumpCloud is Intelligent, Secure IT.
About the role:
This is not a traditional operations role.
What you’ll be doing:
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Design, deploy, and maintain the reliability, availability, and performance of critical JumpCloud systems and APIs across AWS and GCP.
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Operationalize SLIs, SLOs, and error budgets in direct partnership with core application teams.
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Build and refine end-to-end observability across microservices and cloud infrastructure using tools like Datadog.
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Implement actionable monitoring across Golden Signals (Latency, Traffic, Errors, Saturation) to optimize detection (MTTD) and minimize alert fatigue.
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Participate in on-call rotations, incident response, and blameless post-incident reviews to drive continuous systemic improvements.
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Manage and operationalize production Kubernetes (EKS) clusters utilizing GitOps delivery workflows (Argo CD, Kargo).
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Provision and secure multi-cloud infrastructure using modular Terraform (Infrastructure-as-Code).
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Develop and maintain Disaster Recovery (DR) dashboards, runbooks, multi-region failover automation, and validation tests to ensure alignment with defined RTO and RPO targets.
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Eliminate operational toil by writing production-grade Python or Go scripts and automation tools.
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Leverage AI-assisted development tools (Cursor, Claude Code, GitHub Copilot) to accelerate scripting, runbook generation, and incident triage.
We’re looking for:
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5+ years of professional software engineering experience in SRE, DevOps, or Platform Engineering operating 24/7 mission-critical systems.
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Python/Go Proficiency: Hands-on capabilities writing code for SRE tools, custom automation, and cloud integrations.
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Kubernetes Ecosystem: Production experience with Kubernetes cluster operations, container orchestration, and GitOps pipelines (Argo CD).
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Infrastructure as Code: Solid experience writing, maintaining, and modularizing Terraform configurations.
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Cloud Architecture: Direct experience operating cloud workloads on AWS (EKS, IAM, VPC networking, Route53, ALB/NLB) or GCP.
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FinOps & Cost Visibility: Practical experience setting up cost-allocation tagging, resource right-sizing, and building FinOps dashboards to visualize cloud spend.
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Disaster Recovery & Monitoring: Experience building DR dashboards, running failover drills, and configuring monitoring tools to track system health and recovery metrics
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Observability & Incident Management: Practical experience with Datadog (or similar), PagerDuty, alerting hygiene, and working within SLI/SLO frameworks.
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Solid operational experience configuring and troubleshooting production service meshes (Istio or similar) and managing high-availability proxy solutions (HAProxy, NGINX, or similar).
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Problem Solving & Mindset: Strong troubleshooting skills, effective collaboration, and a track record of driving operational efficiency through code.
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A strong team player who helps us live by our core values: building connections, thinking big, and getting 1% better every day.
Preferred Qualifications:
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Experience with CI/CD tools such as GitHub Actions or GitLab Pipelines.
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Basic understanding of chaos engineering principles or testing resilience in staging/production.
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Familiarity with secrets management tools (HashiCorp Vault, AWS Secrets Manager, External Secrets Operator).
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Basic knowledge of DevSecOps tools and scanning/fixing infrastructure-as-code vulnerabilities.
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