Senior Infrastructure Engineer (Cost Optimization & Efficiency)
Team: INFRASTRUCTURE
Location: San Jose
Commitment: Regular - Full Time
Workplace Type: hybrid
What you will do
- Architectural Optimization: Design and implement Kubernetes scaling strategies (HPA, VPA, Karpenter) that align resource consumption with real-time demand.
- The Reliability/Cost Trade-off: Act as the technical lead in determining where we can safely optimize (e.g., Spot instances for non-critical workloads) and where we must invest in over-provisioning to protect our SLOs.
- Proactive Analysis: Regularly audit cloud environments to identify underutilized resources and ghost infrastructure, providing actionable data to leadership on potential savings.
- Automation & Guardrails: Develop IaC modules and CI/CD policies that prevent "cost-drift" before it happens, ensuring developers have the resources they need without excess waste.
- Cross-Functional Advocacy: Partner with Finance and Product teams to translate technical infrastructure metrics into business value and cost-per-feature insights.
What you will bring with you
- 3+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.
- Deep Kubernetes Expertise: Expert-level knowledge of K8s internals.
- Cloud Fluency: Extensive experience managing large-scale environments in AWS, GCP, or Azure.
- Infrastructure as Code (IaC): Mastery of Terraform to manage complex, multi-environment deployments.
- System Design: Proven ability to explain the trade-offs between different compute types (e.g., On-Demand vs. Spot vs. Reserved) and their impact on system availability.
What we look for
- Data-Driven Mindset: Strong proficiency in Prometheus, Grafana, and SQL to analyze performance metrics and correlate them with billing data.
- Onsite once every couple of weeks for collaboration as needed.
When you join Sysdig, you can expect:
- Extra days off to prioritize your well-being
- Mental health support for you and your family through the Modern Health app
- Great compensation package
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