Sr. Kubernetes Platform Engineer

Posted 2 Days Ago
Be an Early Applicant
Austin, TX, USA
In-Office
125K-231K Annually
Senior level
Hardware • Software
The Role
Owns the design, operation, lifecycle management, and continuous improvement of Kubernetes platforms across on-premises and cloud environments. Responsibilities include infrastructure automation, CI/CD and GitOps, observability, security and identity, networking, cost optimization, open-source platform stewardship, developer enablement, and AI/ML infrastructure support. The role requires production ownership, troubleshooting, upgrades, documentation, and collaboration with software and IT teams.
Summary Generated by Built In

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, and secrets lifecycle management.

· Observability: Experience operating observability stacks using Prometheus, Grafana, Loki, Mimir, Tempo, and OpenTelemetry.

· Cloud Cost Management: Experience with cloud and Kubernetes cost visibility, optimization, and tools such as OpenCost.

· Open Source Operations: Demonstrated ability to operate, troubleshoot, upgrade, and maintain open-source infrastructure platforms in production.

· Network Administration: Firewalls, ACLs, and core networking concepts including switching, routing, DNS, ingress, and troubleshooting.

· AI/ML Experience: Familiarity with AI and ML frameworks and tools such as TensorFlow, PyTorch, etc.

· Certifications: CNCF Kubernetes certifications such as CKA, CKAD, or CKS are a plus.

Benefits & Perks   

You can look forward to the following benefits:  

  • Great medical (Choice of PPO or Consumer Driven Health Plan with HSA), dental and vision plans  
  • Highly competitive salary  
  • 401k plan with match and Roth plan option  
  • Equity rewards (RSUs)  
  • Life/AD&D and disability coverage  
  • Flexible spending accounts  
  • Adoption assistance  
  • Back-Up childcare  
  • Additional benefit options (Commuter benefits, Legal benefits, Pet insurance)  
  • Flexible PTO schedule  
  • 3 paid volunteer days per year  
  • Charitable contribution match  
  • Tuition reimbursement  
  • Free downtown parking  
  • Onsite gym  
  • Monthly wellness offerings  
  • Free snacks  
  • Monthly company updates with our CEO 

#LI AA1

#LI Hybrid

The annualized base pay range for this role is expected to be between $124,600 - $231,400 USD. Actual base pay could vary based on factors including but not limited to experience, geographic location where work will be performed and applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus, equity package and a comprehensive benefits package.

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.

Skills Required

  • Bachelor's degree in a technology-related field or equivalent training
  • 5+ years of experience in software development, DevOps, Kubernetes, cloud-native platform engineering, or a related field
  • Experience managing infrastructure lifecycle across on-premises data centers and public cloud environments
  • Experience with a public cloud platform such as AWS, Google Cloud, or Azure
  • Proficiency with infrastructure-as-code tools such as Terraform, Ansible, Salt, or Chef
  • Proficiency in at least one programming language, preferably Go, Python, Groovy, or Java
  • Proficiency with Linux, Windows, and macOS system administration
  • Experience with Unix shell and PowerShell scripting
  • Hands-on Kubernetes and cloud-native platform experience, including ecosystem technologies such as Cilium, Gateway API, CSI, KubeVirt, Kyverno, Helm, and Kustomize
  • Experience with CI/CD, GitOps, and artifact management using tools such as GitHub Actions, Jenkins, Argo CD, and Artifactory
  • Experience with secrets, identity, and access management technologies including Vault, External Secrets Operator, OIDC, Keycloak, Okta, and workload identity
  • Experience operating observability stacks using Prometheus, Grafana, Loki, Mimir, Tempo, and OpenTelemetry
  • Experience with cloud and Kubernetes cost visibility and optimization
  • Production experience operating, troubleshooting, upgrading, and maintaining open-source infrastructure platforms
  • Network administration experience involving firewalls, ACLs, switching, routing, DNS, ingress, and troubleshooting
  • Familiarity with AI and ML frameworks and tools such as TensorFlow and PyTorch
  • AWS certification
  • Talos Linux experience
  • CNCF Kubernetes certification such as CKA, CKAD, or CKS

Silicon Labs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Silicon Labs and has not been reviewed or approved by Silicon Labs.

  • Affordable Benefits — Benefits are portrayed as cost-effective, with references to low premiums and employer contributions that make coverage feel financially manageable. This affordability can increase the perceived value of total rewards even when base pay is viewed as merely competitive.
  • Healthcare Strength — Healthcare offerings are described as comprehensive, spanning medical, dental, and vision coverage plus mental-health resources. Additional mechanisms like HSA/FSA options and preventive-care coverage reinforce the sense of strong health support.
  • Retirement Support — Retirement support appears meaningful, with mentions of a 401(k) match and immediate vesting in some descriptions. Profit-sharing elements are also cited alongside retirement programs, strengthening the longer-term rewards picture.

Silicon Labs Insights

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The Company
HQ: Austin, TX
1,900 Employees
Year Founded: 1996

What We Do

We are a leader in secure, intelligent wireless technology for a more connected world. Our integrated hardware and software platform, intuitive development tools, unmatched ecosystem and robust support make us the ideal long-term partner in building advanced industrial, commercial, home and life applications. We make it easy for developers to solve complex wireless challenges throughout the product lifecycle and get to market quickly with innovative solutions that transform industries, grow economies and improve lives.

Why Work With Us

Our incredibly talented team is comprised of innovative risktakers pushing the bounds of what’s possible. We’re problem solvers first, addressing the industry’s biggest challenges to transform industries, grow economies and improve lives.

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