About the Role

We're hiring a Staff Engineer to join JumpCloud's Cloud Platform organization, with a focus on observability and FinOps.

You'll own the questions that matter most as we scale toward 99.99% availability: can we see what's happening across the platform, how fast do we recover when something breaks, can we survive a regional outage, and are we spending enough to run it all? This is a hands-on staff role. You'll set the technical direction for observability, incident management, disaster recovery, and cloud cost, write the code and AI-driven automation that make it real, and work closely with engineering, customer support, finance, and leadership.

What You'll Be Doing

Observability

- Set the technical direction for observability across JumpCloud's cloud platform: metrics, logs, traces, and events, on AWS and GCP.

- Build and run our observability stack (Datadog, Prometheus, Grafana, OpenTelemetry), including standard instrumentation libraries and collectors that teams adopt by default.

- Define SLIs, SLOs, and error budgets with service owners, and build the dashboards and burn-rate alerts that hold us to a 99.99% SLA.

- Cut alert noise. Make sure every page is actionable, routed to the right owner, and backed by a runbook.

- Shorten detection and recovery times (MTTD and MTTR) by improving tracing, correlation, and incident tooling.

- Manage observability cost itself: cardinality, log volume, sampling, and retention, so visibility grows without the bill growing with it.

FinOps

- Own cloud cost visibility: tagging standards, cost allocation by team and service, and showback reports that engineers actually read.

- Find and deliver savings through right-sizing, autoscaling, spot capacity, storage tiering, idle-resource cleanup, and data-transfer reduction.

- Shape our commitment strategy (Savings Plans, Reserved Instances, committed-use discounts) with finance, based on real usage data.

- Build automation and guardrails, such as budget alerts, anomaly detection, and policy-as-code checks, that catch waste before it ships.

- Define unit economics, like cost per customer or per device, and make cost a normal input to design reviews.

- Partner with finance on forecasting and budgeting, and explain cloud spend clearly to leadership.

Incident Management and AI-Driven Automation

- Own the incident management process end to end: severity levels, on-call rotations, escalation paths, communication, and the tooling behind them.





- Lead major incidents as incident commander or senior escalation point, and keep customers and leadership informed.

- Run root cause analysis (RCA) for significant incidents, and drive the follow-up actions to completion so issues don't repeat.

- Build AI agents that correlate alerts, logs, traces, and recent changes to find the likely root cause automatically.

- Build self-healing automation and AI agents that detect and fix known issues before they escalate or reach customers, with safe guardrails and human approval where it matters.

- Measure and improve incident health over time: MTTD, MTTR, repeat incidents, and on-call load.

Business Continuity and Disaster Recovery

- Own JumpCloud's business continuity (BCP) and disaster recovery (DR) strategy for the cloud platform.

- Define RTO and RPO targets with product and leadership, and design the architecture to meet them.

- Design and build the DR site and recovery environment across AWS and GCP, including data replication, backups, failover, and failback.

- Plan and run regular DR tests and failover drills, document the results, and close the gaps they reveal.

- Keep DR runbooks, recovery automation, and BCP plans current, and support audit and customer requests for evidence.

Across Everything

- Write production-quality Go or Python for tooling, exporters, data pipelines, and automation.

- Work closely with customer support teams: turn support tickets and escalations into monitoring, alerts, and fixes, and give support the visibility they need to answer customers quickly.

- Partner with product engineering teams on reliability, recoverability, and cost-aware design.

- Write design docs, review architecture across engineering, and mentor engineers on observability and cost-aware design.

We're Looking For
- 10+ years of software engineering experience, with at least 4 years in platform, SRE, or infrastructure roles running 24/7 SaaS systems at scale.

- Observability depth: You've designed and run observability at scale with Datadog, Prometheus, Grafana, or OpenTelemetry. You know how to instrument services, set meaningful SLOs, and build alerts people trust.





- FinOps track record: You've cut cloud spend in a measurable way, and you can show the numbers. You're comfortable with AWS Cost Explorer, CUR, Kubecost, or similar tools, and with commitment planning.

- Strong coding skills: You've built production tooling and automation in Go or Python, not just dashboards and scripts.

- AWS, GCP, and Terraform: strong hands-on production experience with both AWS and GCP, and with Terraform for infrastructure as code. Production Kubernetes experience is expected.

- Incident management: You've owned on-call and incident processes, led major incidents, and run RCAs that led to lasting fixes.

- AI and automation: You've built automation for incident response or remediation, and you have hands-on experience building AI agents or LLM-based tools for root cause analysis or auto-remediation.

- BCP and DR: You've designed and tested disaster recovery for production SaaS systems, including RTO and RPO targets, DR sites, replication, and failover drills.

- Engineering and customer focus: You have a software engineering background and have worked closely with customer support teams to resolve issues and reduce customer impact.

- Staff-level influence: You've driven change across multiple teams without direct authority, and you can get engineers to care about both reliability and cost.

- Clear communication with engineers, finance, and leadership. You can turn usage and cost data into a easy story and a clear decision.

- Bachelor's degree in Computer Science or a related field, or equivalent experience.

- A strong team player who lives our core values: building connections, thinking big, and getting 1% better every day.

Preferred Qualifications
- FinOps Certified Practitioner, or hands-on experience applying the FinOps Framework.

- Experience with cost tools such as CloudHealth, Vantage, Cloudability, or AWS Compute Optimizer.

- Experience building cost and usage data pipelines (AWS CUR, BigQuery billing export, Athena) and reporting on top of them.

- Experience running observability in-house at scale (Prometheus/Thanos/Mimir, Loki, Tempo) and weighing that against SaaS vendors.

- Experience with eBPF-based monitoring, continuous profiling, or real user monitoring.

- Experience negotiating or managing vendor contracts for observability or cloud spend.

- Open-source contributions, published writing, or conference talks on observability or FinOps.

📌 Staff Engineer, Cloud Platform (India)
🏢 Recognized
📍 India