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Platform Engineer, AI
SUSEPlatform Engineer building and operating internal Agentic AI Platform at SUSE. Responsible for foundational layers and operational health, translating designs into infrastructure-as-code.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing production-grade infrastructure-as-code, with a strong focus on Kubernetes operations, secrets management, and observability. Proven ability to translate architectural designs into effective platform solutions while ensuring operational health.
Highest-signal resume keywords
Kubernetes Production Cluster OperationSecrets ManagementGitOps ExperienceInfrastructure-As-CodeLinux Platform Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Infrastructure-As-CodeKubernetesSecrets ManagementPolicy-As-CodeGitOpsObservability StackAPI GatewayAI GatewayModel ServingLinux
Tech Stack
Tools & technologiesKubernetesLinux
About the role
Key responsibilities & impact- build out the platform's foundational layers
- own the platform's operational health
- translate architectural designs into production-grade infrastructure-as-code
- manage secrets rotation and participate in high-stakes procedures
Requirements
What you’ll need- demonstrate hands-on production delivery experience
- evidence of real delivery against areas like Kubernetes production cluster operation
- experience with secrets management and policy-as-code
- GitOps experience at production scale
- observability stack familiarity
- API/AI gateway and model serving expertise
- Linux platform engineering knowledge
Benefits
Comp & perks- access to an attractive benefits package
- bonuses, which are typically paid quarterly