KLA is looking to advance their container-based developer platform for improved reliability, flexibility and ease of use
Requirements
- Skilled in Linux and container platform (Docker, Kubernetes, or OpenShift) administration
- Experience with virtualization technologies (KVM/QEMU, Hyper-V), virtual networking, storage provisioning and performance
- Strong proficiency in at least one major cloud provider (AWS, GCP, Azure) and container-based hybrid/on-premises architectures including deployment, scaling and self-healing operations
- Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, Tekton) and infrastructure-as-code (Terraform, Pulumi, Ansible, etc.)
- Proficient in scripting and programming languages such as Python, Go, Bash, or similar
Responsibilities
- Architect and implement solutions to optimize developer inner and outer loops, including workflow automation, CI/CD pipelines, and infrastructure-as-code (IaC)
- Continuously evaluate and integrate open source and commercial tools to improve developer experience and operational efficiency
- Mentor other engineers on containers, DevOps methodologies, and infrastructure automation
- Resolve complex issues related to platform reliability, performance, and security, both proactively and reactively in engineering and field implementations
- Work with platform team members, software engineers, SREs, product managers, and security to translate business needs into technical solutions that evolve the platform capabilities
- Stay ahead of industry trends, emerging technologies, and evolving practices in cloud-native computing, DevOps, and techniques to continuously improve DevEx
Other
- Ability to work effectively across teams and mentor junior engineers
- Ability to innovate, inspire change, and influence engineering culture
- Minimum Qualifications: Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
