Sr. Kubernetes Platform Engineer

silabs; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Silicon Labs in Austin, Texas seeks a Sr. Kubernetes Platform Engineer to define, build, and operate infrastructure across on-premises and cloud environments.

You will own Kubernetes platforms, CI/CD pipelines, security automation, and cost visibility, collaborating with software and IT teams to support AI/ML initiatives. The role emphasizes lifecycle management, reliability, and developer enablement, with experience owning CNCF/open-source tooling in production required.

Qualifications

• Bachelor's degree in a technology-related field or equivalent training.
• 5+ years in software development, DevOps, Kubernetes and Cloud-Native Platforms engineering, or a related field.
• Hybrid Infrastructure Lifecycle: experience across on-prem data centers and public cloud with automation.
• Cloud Platforms: experience with AWS, Google Cloud, Azure; AWS certs are a plus.
• Infrastructure as Code: Terraform, Ansible, Salt, Chef, or similar tools.
• Programming Languages: Go, Python, Groovy, or Java.
• System Administration: Linux, Windows, macOS; Talos Linux a plus.
• Scripting: Unix shell and PowerShell.
• Kubernetes and Cloud-Native Platforms: hands-on with Kubernetes and ecosystem tools.
• CI/CD, GitOps, and Artifact Management: GitHub Actions, Jenkins, Argo CD, Artifactory; GitOps workflows.
• Secrets, Identity, and Access Management: Vault, OIDC, Keycloak, Okta, workload identity.

Responsibilities

• Collaboration: Building productive relationships and sharing expertise via presentations and training sessions.
• Documentation: Creating and maintaining effective documentation and written communications.
• Automation: Enhancing team productivity by identifying opportunities to automate and eliminate waste in processes.
• Infrastructure Lifecycle Management: Designing, building, operating, upgrading, and retiring infrastructure across on-premises and cloud with reliability and cost considerations.
• Kubernetes Platform Ownership: Operating and evolving Kubernetes-based platforms and supporting technologies including cluster lifecycle and networking.
• CNCF and Open-Source Stewardship: Maintaining CNCF/open-source platforms in production with troubleshooting, upgrades, automation, and internal enablement.
• Developer Experience: Improving software developer experience and productivity by reducing friction and automating testing and deployments.
• CI/CD Pipelines: Designing and maintaining CI/CD and GitOps pipelines.
• Security, Identity, and Policy Automation: Supporting secure platform operations through policy enforcement and secrets management.
• Observability: Building observability platforms for metrics, logs, traces, dashboards, alerts, and health."
• AI/ML Integration: Supporting AI/ML infrastructure and services.
• Cost Efficiency: Reducing waste and cutting costs in cloud/Kubernetes infra.

Skills

DevOps

Kubernetes

Cloud-Native

Automation

CI/CD

Observability

Education

Bachelor's degree in a technology-related field

Tools

Terraform

Ansible

Salt

Chef

Talos Linux

Cilium

Gateway API

CSI

KubeVirt

Kyverno

Helm

Kustomize

Job description

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world's most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com .

Sr. Kubernetes Platform Engineer

Austin TX

Silicon Labs in Austin, Texas is seeking a motivated Sr. Kubernetes Platform Engineer to help define, build, operate, and lifecycle-manage the infrastructure, tools, and platforms required for our organization to operate at scale. This role spans both on-premises and cloud environments, with responsibilities across Kubernetes platforms, CI/CD, identity, observability, cost management, and developer enablement. The ideal candidate has hands-on experience owning CNCF and open-source infrastructure in production, including upgrades, troubleshooting, automation, and long-term maintainability. This is an engineering ownership role, not a support-escalation role; success requires the ability to understand, operate, and improve the platforms we depend on while collaborating closely with software and IT teams and supporting AI/ML initiatives.

Your Responsibilities Will Include:

• Collaboration: Building productive relationships and generously sharing expertise via presentations and training sessions.
• Documentation: Creating and maintaining effective documentation and written communications.
• Automation : Enhancing team productivity by identifying opportunities to automate and eliminate waste in new and existing processes.
• Infrastructure Lifecycle Management: Designing, building, operating, upgrading, and retiring infrastructure across on-premises and cloud environments, with attention to reliability, security, cost, maintainability, and developer productivity.
• Kubernetes Platform Ownership: Operating and evolving Kubernetes-based platforms and supporting technologies, including cluster lifecycle, networking, ingress, storage, policy, virtualization, secrets, identity, observability, and cost visibility.
• CNCF and Open-Source Stewardship: Owning and maintaining CNCF and open-source platforms in production, including troubleshooting, upgrades, automation, documentation, and internal enablement. Candidates should be comfortable operating systems where internal expertise is required rather than relying primarily on vendor support.
• Developer Experience: Improving software developer experience and productivity by reducing friction and automating testing and deployments.
• CI/CD Pipelines: Designing, developing, and maintaining CI/CD and GitOps pipelines for software and infrastructure.
• Security, Identity, and Policy Automation: Supporting secure platform operations through policy enforcement, secrets management, workload identity, OIDC integrations, and automated governance.
• Observability: Building and operating observability platforms for metrics, logs, traces, dashboards, alerting, and service health using modern cloud-native tooling.
• AI/ML Integration : Working with software teams to support development and implementation of AI/ML infrastructure and services.
• Cost Efficiency: Reducing waste and cutting costs in cloud and Kubernetes infrastructure.

Skills and Qualifications Desired:

• Education: Bachelor's degree in a technology-related field or equivalent training.
• Experience: 5+ years in software development, DevOps, Kubernetes and Cloud-Native Platforms engineering, or a related field.
• Hybrid Infrastructure Lifecycle: Experience managing infrastructure lifecycle across on-premises data centers and public cloud, including provisioning, upgrades, patching, scaling, decommissioning, and operational automation.
• Cloud Platforms: Experience with AWS, Google Cloud, Azure, etc.; AWS certifications are a plus.
• Infrastructure as Code: Proficiency with Terraform, Ansible, Salt, Chef, or similar infrastructure automation tools.
• Programming Languages: Proficiency in at least one language, preferably Go, Python, Groovy, or Java.
• System Administration: Proficiency in Linux, Windows, and macOS system administration; Talos Linux experience is a plus.
• Scripting: *Nix shell and PowerShell scripting experience.
• Kubernetes and Cloud-Native Platforms: Hands-on experience with Kubernetes and ecosystem technologies such as Talos Linux, Cilium, Gateway API, CSI, KubeVirt, Kyverno, Helm, and Kustomize.
• CI/CD, GitOps, and Artifact Management: Experience with GitHub Actions, Jenkins, Argo CD, Artifactory, and GitOps-based deployment workflows.
• Secrets, Identity, and Access Management: Experience with Vault, External Secrets Operator, OIDC, Keycloak, Okta, workload identity, a