Staff Engineer, Cloud Platform

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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JumpCloud

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

☁️ SaaS

🔐 Security

🏢 Enterprise

💰 $66M Series F on 2021-10

SaaS • Security • Enterprise

JumpCloud is a unified identity, device, and access management platform that helps organizations centrally manage and secure their IT infrastructure across multiple operating systems and devices. It provides comprehensive solutions for cross-platform device management, cloud-first directory services, Active Directory modernization, and hybrid work enablement. JumpCloud enhances security through features such as zero trust security, passwordless authentication, and multi-factor authentication. Its platform supports automated onboarding and offboarding, identity lifecycle management, conditional access, and compliance management. JumpCloud integrates with various HR systems and offers SaaS management, allowing companies to streamline IT operations and reduce complexity. Trusted by organizations worldwide, JumpCloud is recognized for its ability to unify and secure digital workplace environments efficiently and effectively.

📋 Description

• Set technical direction for observability across JumpCloud's cloud platform on AWS and GCP • Build and operate the observability stack using Datadog, Prometheus, Grafana, and OpenTelemetry • Define SLIs, SLOs, error budgets, dashboards, and burn-rate alerts targeting 99.99% availability • Reduce alert noise and improve MTTD and MTTR • Manage observability costs through cardinality, log volume, sampling, and retention controls • Own cloud cost visibility, allocation, showback reporting, and FinOps initiatives • Deliver cloud savings through right-sizing, autoscaling, spot capacity, storage tiering, idle-resource cleanup, and data-transfer reduction • Shape cloud commitment strategy with finance • Build budget alerts, anomaly detection, and policy-as-code guardrails • Define unit economics and incorporate cost into design reviews • Partner with finance on forecasting, budgeting, and leadership reporting • Own incident management, including severity levels, on-call rotations, escalation paths, communication, and tooling • Lead major incidents and act as incident commander or senior escalation point • Run root cause analyses and drive corrective actions to completion • Build AI agents for alert, log, trace, and change correlation, root cause analysis, and self-healing remediation • Own business continuity and disaster recovery strategy • Define RTO/RPO targets and design recovery architecture across AWS and GCP • Build DR sites and recovery environments with replication, backups, failover, and failback • Run DR tests and failover drills and maintain recovery documentation • Write production-quality Go or Python for tooling, exporters, data pipelines, and automation • Partner with customer support and product engineering teams on reliability, recoverability, customer impact, and cost-aware design • Write design documents, review architecture, and mentor engineers

🎯 Requirements

• 10+ years of software engineering experience • At least 4 years in platform, SRE, or infrastructure roles running 24/7 SaaS systems at scale • Experience designing and running observability at scale with Datadog, Prometheus, Grafana, or OpenTelemetry • Experience defining meaningful SLOs and building trusted alerts • Measurable track record of reducing cloud spend • Experience with AWS Cost Explorer, CUR, Kubecost, or similar tools • Production tooling and automation experience in Go or Python • Strong hands-on production experience with AWS and GCP • Strong hands-on Terraform experience for infrastructure as code • Production Kubernetes experience • Experience owning on-call and incident processes, leading major incidents, and running RCAs • Experience building incident-response or remediation automation • Hands-on experience building AI agents or LLM-based tools for root cause analysis or auto-remediation • Experience designing and testing disaster recovery for production SaaS systems, including RTO/RPO targets, DR sites, replication, and failover drills • Software engineering background and experience working closely with customer support teams • Experience driving change across multiple teams without direct authority • Clear communication with engineers, finance, and leadership • Bachelor's degree in Computer Science or a related field, or equivalent experience • Fluency in spoken and written English • FinOps Certified Practitioner or hands-on experience applying the FinOps Framework is preferred • Preferred experience with CloudHealth, Vantage, Cloudability, AWS Compute Optimizer, cost and usage data pipelines, in-house observability, eBPF monitoring, continuous profiling, real user monitoring, vendor contracts, open-source contributions, published writing, or conference talks

🏖️ Benefits

• Remote work within India • Remote First work arrangement • Opportunity to work with teams across 15+ countries • Professional growth and expertise-sharing opportunities • Equal opportunity employment

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