Site Reliability Engineer - India

Remote; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

JumpCloud seeks a Software Engineer 3 (SRE) to join our Infrastructure & Reliability Engineering team, focused on platform resilience and 24/7 production systems. You will design automation, observability, and reliability standards while reducing toil through code.

As an SRE, you’ll scale cloud-native infra, participate in incident response, and implement best practices across our directory platform and microservices. Strong Python/Go and Kubernetes experience required.

Qualifications

• 5+ years of professional SRE/DevOps or Platform Engineering for 24/7 mission-critical systems.
• Proficiency in Python or Go for SRE tooling, automation, and cloud integrations.
• Kubernetes production experience with cluster operations and GitOps pipelines (Argo CD).
• Infrastructure as Code with Terraform configurations.
• Cloud experience in AWS (EKS, IAM, VPC, Route53, ALB/NLB) or GCP.
• FinOps and cost visibility with dashboards to visualize cloud spend.
• Observability, incident management, and SLI/SLO frameworks with Datadog/PagerDuty.

Responsibilities

• Design, deploy, and maintain reliability, availability, and performance of JumpCloud systems and APIs across multi-cloud environments.
• Operationalize SLIs, SLOs, and error budgets with application teams.
• Build end-to-end observability across microservices and cloud infrastructure (Datadog).
• Implement monitoring for Golden Signals to optimize MTTR and reduce alert fatigue.
• Participate in on-call rotations, incident response, and blameless post-incident reviews.
• Manage production Kubernetes (EKS) clusters and GitOps pipelines (Argo CD).
• Provision secure multi-cloud infra with Terraform and IaC best practices.
• Develop DR dashboards, runbooks, and failover validation tests for RTO/RPO targets.
• Automate tooling with production-grade Python/Go scripts to reduce toil.

Skills

Python/Go

Kubernetes

Terraform

GitOps

Observability

Incident management

Automation

CI/CD

Tools

Datadog

Argo CD

Kargo

Terraform

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.

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.