Site Reliability Engineer
Posted 29 Sep 2026
Advertised as “Site Reliability Engineer - India”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
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, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.
JumpCloud is Intelligent, Secure IT.
About the role:
We are seeking a Software Engineer 3 (SRE) to join our Infrastructure & Reliability Engineering team. This role sits at the center of platform resilience—ensuring high availability, performance, recoverability, and operational maturity across JumpCloud’s production systems.
This is not a traditional operations role. Our SREs are engineers first: designing automation, building observability frameworks, defining reliability standards, and reducing operational toil through code. You will build and scale cloud-native infrastructure, participate in incident management, and implement reliability best practices across our directory platform and microservices.
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.