Staff Engineer, Cloud Platform

New

JumpCloudCloud platform

Bangalore, India - RemoteFull-TimeStaff

Salary not disclosed

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Job Details

Experience: 10+ years of software engineering experience, with at least 4 years in platform, SRE, or infrastructure roles running 24/7 SaaS systems at scale.
Required Skills: AWSPythonKubernetesGoPrometheusTerraformDatadog

Have 10+ years of software engineering experience, including at least 4 years in platform, SRE, or infrastructure roles running 24/7 SaaS systems at scale.
Have designed and operated observability at scale using Datadog, Prometheus, Grafana, or OpenTelemetry.
Have experience instrumenting services, defining SLOs, and building trusted alerts.
Demonstrate measurable cloud cost reductions and experience with AWS Cost Explorer, CUR, Kubecost, or similar tools and commitment planning.
Have production coding experience in Go or Python.
Have hands-on production experience with AWS, GCP, Terraform, and Kubernetes.
Have owned on-call and incident processes, led major incidents, and conducted RCAs that led to lasting fixes.
Have built incident response or remediation automation and AI agents or LLM-based tools for root cause analysis or auto-remediation.
Have designed and tested disaster recovery for production SaaS systems, including RTO and RPO targets, DR sites, replication, and failover drills.
Have a software engineering background and experience working with customer support teams to resolve issues and reduce customer impact.
Have driven change across multiple teams without direct authority.
Hold a bachelor's degree in computer science or a related field, or have equivalent experience.

Set technical direction for platform observability across AWS and GCP.
Build and operate the observability stack, instrumentation libraries, collectors, dashboards, and actionable alerts.
Define SLIs, SLOs, and error budgets with service owners, and improve detection and recovery times.
Manage observability costs and cloud cost visibility, allocation, optimization, and forecasting.
Build cost guardrails and automation, and define unit economics for design reviews.
Own incident management processes, lead major incidents, run root cause analyses, and drive follow-up actions.
Build AI agents and self-healing automation for incident diagnosis and remediation with appropriate guardrails.
Own business continuity and disaster recovery strategy, including recovery targets, replication, backups, and failover testing.
Write production tooling and automation in Go or Python and partner with engineering and customer support teams.
Write design documents, review architecture, and mentor engineers on observability and cost-aware design.

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