Overview

All roles at JumpCloud® are Remote unless otherwise specified in the .

Responsibilities

• 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.
• Robust 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.

Qualifications

• 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.
• 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.

Nice to have

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