Senior Site Reliability Engineer - India

About JumpCloud®

JumpCloud is Intelligent, Secure IT.

• Architect, scale, and continuously improve the reliability, availability, and performance of JumpCloud’s multi-region microservices, APIs, and authentication infrastructure (AWS/GCP).

• Architect, build, and maintain Disaster Recovery (DR) process, multi-region failover automation, and business continuity strategies to ensure rapid recovery against strict RTO and RPO objectives.

• Lead the design and enforcement of SLIs, SLOs, and Error Budget frameworks across multi-disciplinary engineering teams.

• Drive end-to-end observability strategy using Datadog, implementing actionable Golden Signals monitoring to drastically reduce MTTD/MTTR and eliminate alert fatigue.

• Lead on-call escalation, major incident management, and drive strict adherence to 99.99% availability SLAs.

• Facilitate blameless post-incident reviews, executing systemic root-cause remediations to prevent recurring failure modes.

• Architect, manage, and scale production Kubernetes (EKS) clusters, implementing advanced GitOps workflows (Argo CD, Kargo) and deployment patterns.

• Design and maintain modular, enterprise-grade Infrastructure-as-Code using Terraform across multi-account, multi-region cloud environments.

• Design, build, and maintain interactive FinOps and cost-optimization dashboards to provide engineering and leadership teams with actionable insights into multi-cloud spend, unit economics, and resource utilization.

• Eliminate complex operational toil by writing production-grade Python or Go tooling, platform automation, and custom integrations.

• Champion AI-assisted software development workflows (Cursor, Claude Code, GitHub Copilot) to accelerate automation, runbook creation, and incident triage across the team.

• Author operational runbooks, architecture decision records, and mentor mid-level/junior engineers to raise the overall technical bar.

• 8+ years of professional software engineering experience in SRE, DevOps, or Platform Engineering operating 24/7 mission-critical, highly available distributed systems.

• Bachelor's degree in Computer Science, Software Engineering, or equivalent technical discipline.

• Strong Python/Go Capabilities: Advanced software engineering skill set for writing internal SRE platforms, tools, and API integrations.

• Deep Kubernetes Expertise: Hands-on experience with production EKS/GKE cluster lifecycles, ingress/egress, networking, RBAC, and GitOps tooling (Argo CD).

• Advanced IaC & AWS/GCP: Deep Terraform proficiency (module architecture, state management refactoring) across complex multi-account AWS environments (IAM, VPCs, Transit Gateway, ALB/NLB, Route53).

• FinOps & Cost Optimization Leadership: Demonstrated experience driving cloud cost-efficiency strategies, resource right-sizing, cost-allocation tagging, workload optimization, and building FinOps dashboards to embed financial accountability into engineering workflows.

• Disaster Recovery & High Availability: Proven background in designing and testing multi-region Disaster Recovery architectures, automating failover systems, and monitoring recovery health via DR dashboards.

• Observability & Reliability Architecture: Track record of defining SLI/SLOs, managing PagerDuty schedules, and optimizing production observability platforms.

• Experience designing and operating enterprise service meshes (Istio, Linkerd, or similar) and production ingress/proxy systems (HAProxy, NGINX, or similar).

• Technical Mentorship: Demonstrated ability to lead technical discussions, write architectural design docs/RFCs, and mentor engineering peers.

• Strong problem-solving, communication, and collaboration skills with a passion for solving complex distributed systems challenges at scale.

• A strong team player who helps us live by our core values: building connections, thinking big, and getting 1% better every day.

• Basic understanding of chaos engineering principles or testing resilience in staging/production.

• Experience with secrets management architectures (Vault, AWS Secrets Manager, External Secrets Operator, Cert-Manager).

• Background in DevSecOps practices, service meshes (Istio), and automated vulnerability remediation within cloud infrastructure code.

• Background supporting identity services, IAM, enterprise directory platforms, or security-focused SaaS solutions.