Senior Site Reliability Engineer - India
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Senior 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.
What You’ll Be Doing:
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Architect, scale, and continuously improve the reliability, availability, and performance of JumpCloud’s multi-region microservices, APIs, and authentication infrastructure (AWS/GCP).
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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.
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Lead the design and enforcement of SLIs, SLOs, and Error Budget frameworks across multi-disciplinary engineering teams.
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Drive end-to-end observability strategy using Datadog, implementing actionable Golden Signals monitoring to drastically reduce MTTD/MTTR and eliminate alert fatigue.
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Lead on-call escalation, major incident management, and drive strict adherence to 99.99% availability SLAs.
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Facilitate blameless post-incident reviews, executing systemic root-cause remediations to prevent recurring failure modes.
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Architect, manage, and scale production Kubernetes (EKS) clusters, implementing advanced GitOps workflows (Argo CD, Kargo) and deployment patterns.
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Design and maintain modular, enterprise-grade Infrastructure-as-Code using Terraform across multi-account, multi-region cloud environments.
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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.
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Eliminate complex operational toil by writing production-grade Python or Go tooling, platform automation, and custom integrations.
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Champion AI-assisted software development workflows (Cursor, Claude Code, GitHub Copilot) to accelerate automation, runbook creation, and incident triage across the team.
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Author operational runbooks, architecture decision records, and mentor mid-level/junior engineers to raise the overall technical bar.
We’re Looking For:
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8+ years of professional software engineering experience in SRE, DevOps, or Platform Engineering operating 24/7 mission-critical, highly available distributed systems.
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Bachelor's degree in Computer Science, Software Engineering, or equivalent technical discipline.
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Strong Python/Go Capabilities: Advanced software engineering skill set for writing internal SRE platforms, tools, and API integrations.
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Deep Kubernetes Expertise: Hands-on experience with production EKS/GKE cluster lifecycles, ingress/egress, networking, RBAC, and GitOps tooling (Argo CD).
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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).
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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.
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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.
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Observability & Reliability Architecture: Track record of defining SLI/SLOs, managing PagerDuty schedules, and optimizing production observability platforms.
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Experience designing and operating enterprise service meshes (Istio, Linkerd, or similar) and production ingress/proxy systems (HAProxy, NGINX, or similar).
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Technical Mentorship: Demonstrated ability to lead technical discussions, write architectural design docs/RFCs, and mentor engineering peers.
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Strong problem-solving, communication, and collaboration skills with a passion for solving complex distributed systems challenges at scale.
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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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Basic understanding of chaos engineering principles or testing resilience in staging/production.
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Experience with secrets management architectures (Vault, AWS Secrets Manager, External Secrets Operator, Cert-Manager).
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Background in DevSecOps practices, service meshes (Istio), and automated vulnerability remediation within cloud infrastructure code.
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Background supporting identity services, IAM, enterprise directory platforms, or security-focused SaaS solutions.
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