Site Reliability Engineer - India

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:

• 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.