Staff Multi-Cloud Platform Engineer

About the role

The Staff Engineer on the Platform team will design, build, and maintain core infrastructure across cloud, data, and AI/ML systems. They will work closely with their teammates and engineering leadership to set direction and build the foundation that lets every team at Compa move fast, strategically. This is a high-ownership individual contributor role where decisions shape how the enterprise builds and ships.

Responsibilities

• Design, build, and maintain core infrastructure across cloud, data, and AI/ML systems
• Own and evolve Compa's Kubernetes-based platforms across AWS, GCP, and Azure
• Drive multi-cloud initiatives including cloud abstraction patterns, cross-cloud identity, networking, data movement, traffic routing, and customer-managed encryption keys
• Define platform standards for Kubernetes cluster architecture, workload isolation, tenancy, networking, security, scaling, upgrades, and operational ownership
• Scale and automate infrastructure services and internal tooling
• Raise the bar on reliability and observability through SLIs/SLOs, monitoring, and incident response
• Design and improve CI/CD pipelines, deployment workflows, infrastructure automation, and paved paths for engineering teams
• Lead platform efforts that reduce developer toil and improve velocity
• Partner with leadership on technical direction and roadmap
• Act as a multiplier, setting standards that help engineers around you level-up

Requirements

8+ years of software engineering experience with a strong emphasis on infrastructure and platform development

Deep, hands-on experience with managed Kubernetes (EKS, GKE, or AKS) - cluster architecture, networking, scaling, upgrades and production operations

Strong Python skills applied to infrastructure tooling and backend systems

Hands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure; this is a must-have

Experience managing infrastructure across cloud boundaries: identity, networking, data, traffic routing, and failover

Observability tooling experience such as Prometheus, Grafana, OpenTelemetry, Loki or ELK, Jeager, or Tempo

Comfortable with high ownership and ambiguity - you've built things without a playbook before

Qualifications

Nice to have:

• DevOps and SRE practices: infrastructure as code, CI/CD, incident response
• Security fundamentals: IAM, secrets management, encryption, least privilege
• Exposure to MLOps
• Early-stage startup experience

Pay

$200K - $225K