Senior Platform Engineer
About the role
Become a key member of Collibra's Platform Infrastructure Engineering team, reporting to the Senior Platform Infrastructure Engineering Manager. This team builds and operates the essential cloud foundation for all Collibra services. In this role, your contribution is critical as we evolve our multi-cloud, Kubernetes, IaC (Terraform/Helm), Golang automation, and GitOps infrastructure environment for maximum efficiency and resilience, directly impacting Collibra's operational excellence.
Responsibilities
Develop controllers and automations, work with development teams on refinements to platform capabilities.
Contribute to the overall architecture of the platform infrastructure, collaborating with other infrastructure engineers using GitOps, IaC and Kubernetes.
Participate in on-call rotations, troubleshoot complex service issues, implement security best practices, and maintain clear documentation (architecture, procedures).
Stay current with platform engineering trends and infrastructure automation, identifying and implementing improvements.
Requirements
3+ years of experience in Platform Engineering, SRE, or infrastructure-focused roles with a Bachelor's degree in Computer Science or a related technical field, OR equivalent practical experience demonstrating the skills below.
Proven experience designing, building, and managing production services using Kubernetes and gitops / IaC at a scale of between tens and hundreds of Kubernetes clusters.
Experience managing production workloads and infrastructure on major cloud platforms (AWS, GCP, Azure).
Hands-on experience operating Kubernetes clusters and managing containerized services in production.
Demonstrable experience writing and maintaining Infrastructure as Code (IaC), preferably with Terraform, and proficiency in Golang or Python for automation.
Preferred Skills
CKA / CKAD, Istio, ArgoCD, deep experience with networks, linux and Kubernetes, experience with monitoring/logging tools and observability spans / traces (e.g., Datadog, Grafana, Honeycomb), and proficient in creating controllers and other automation patterns to manage Kubernetes resources.
Demonstrated proficiency in leveraging AI tools (e.g., Claude, Gemini, ChatGPT, Copilot) to solve real-world business challenges, drive measurable outcomes, or streamline workflows.
Qualifications
Must be eligible to work in the USA without requiring sponsorship.
Because this role supports the US government, it is required that this candidate be a US citizen who resides on US soil.
Benefits
Standard base salary range: $168,000.00 - $210,000.00 per year.
Equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.
Pay
The standard base salary range for this position is $168,000.00 - $210,000.00 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.
Schedule
Not specified.