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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in operating and evolving Kubernetes-based platforms for AI workloads, with a strong focus on infrastructure as code, GitOps workflows, and observability tools. Proficient in managing cloud-hosted foundation models and ensuring platform security through robust policies and practices.
Highest-signal resume keywords
Kubernetes ManagementInfrastructure As CodeGitOps ToolingCloud Experience (Azure/AWS)Observability Tools
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Operate and evolve a Kubernetes-based platform for AI workloads, including LLM gateways, agent and tool-integration gateways, and agent runtimes
- Integrate and manage access to cloud-hosted foundation models across multiple providers, including routing, quotas, fallbacks, cost controls, and tenant isolation
- Deliver infrastructure as code and GitOps workflows
- Build monitoring, alerting, and tracing for AI workloads
- Help design and prototype self-hosted model serving, including GPU workloads and inference runtimes
- Harden the platform with secrets management, network policies, authentication and authorization, and audit logging
- Support internal product teams through documentation, onboarding, and troubleshooting
Requirements
What you’ll need- 3+ years in platform, DevOps, SRE, or cloud engineering
- Hands-on experience with Kubernetes, including deployments, networking, and troubleshooting
- Experience with infrastructure as code using Terraform
- Experience with GitOps tooling such as Argo CD, Flux, or similar
- Solid experience with at least one major cloud, Azure or AWS
- Experience with observability tools such as OpenTelemetry, Prometheus, and Grafana
- Scripting and coding skills in Python, Go, or Bash
- CI/CD experience
- Experience with LLM gateways or proxies, or LLM observability and tracing tools
- Familiarity with managed model services from major cloud providers, such as Azure or AWS
- Understanding of agent frameworks and tool-integration protocols such as Model Context Protocol (MCP)
- Experience running GPU workloads or model inference serving
- Experience in multi-tenant, regulated, or compliance-driven environments
Benefits
Comp & perks- Professional development opportunities
- Reimbursement for training and continuing education
- Modern, open offices
- Complimentary lunches
- Fully stocked kitchens
- Comprehensive wellness programs
- Flexible time off programs
- Family-formation benefits
- Family-building support
- Paid volunteer time off
- Donation matching program
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesTerraformPythonGoBashCI/CDLLM GatewaysGPU WorkloadsModel Inference ServingAgent Frameworks
Soft Skills
DocumentationOnboardingTroubleshooting
Tools & Technologies
Argo CDFluxOpenTelemetryPrometheusGrafana
Industry Keywords
Multi-TenantRegulated EnvironmentsCompliance-Driven