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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating secure, scalable infrastructure for AI model access, with a strong focus on observability, governance, and compliance. Proficient in collaborating with cross-functional teams to deliver reliable solutions using cloud technologies and infrastructure-as-code.
Highest-signal resume keywords
Cloud InfrastructureKubernetesInfrastructure-As-CodeAPI DevelopmentProduction Observability
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
API DevelopmentService DevelopmentDeveloper ToolingCloud InfrastructureKubernetesInfrastructure-As-CodeLLM APIsMetricsTracingLogging
Soft Skills
Clear CommunicationCollaborationOwnershipAdaptabilityProblem-Solving
Industry Keywords
Model AccessAgent FrameworksGovernanceAuditabilitySecurityCost ControlsBest PracticesReusable PatternsProduction WorkflowsObservability
Tech Stack
Tools & technologiesCloudKubernetes
About the role
Key responsibilities & impact- Design, build, and operate infrastructure for model access, agent runtimes, and observability
- Take projects from initial problem definition through technical design, deployment, and ongoing operation
- Partner closely with security, IT, and engineering teams
- Support teams adopting the platform by troubleshooting issues
- Document reusable patterns
- Help teams understand what is possible with available tools
- Build a governed, production-ready language-model access layer with routing, authentication, cost controls, and auditability
- Build secure infrastructure and reusable tooling for production agentic workflows
- Implement observability for platform usage, cost, reliability, and performance
- Develop governance and safety controls for secure, compliant, and auditable AI use
- Establish shared primitives, standards, and best practices for building and deploying agents
- Deliver reliable, scalable deployments using cloud infrastructure, Kubernetes, and infrastructure-as-code
Requirements
What you’ll need- Strong software engineering experience building APIs, services, or developer tooling
- Experience building or operating platforms and infrastructure used by other engineering teams
- Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure-as-code
- Familiarity with LLM APIs and the surrounding ecosystem, such as model gateways, agent frameworks, MCP, or RAG
- Understanding of production observability, including metrics, tracing, and logging
- Security-conscious approach to authentication, authorization, governance, and auditability
- Comfortable taking ownership in an ambiguous, fast-moving environment
- Ability to communicate clearly through documentation and collaboration
- Passion for autonomy and willingness to learn
Benefits
Comp & perks- Meaningful equity, sharing in the ownership and long term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working
- Core hours
- Chance to work hands on in vehicle workshops and labs
- Learning and development budgets
- Support for training, conferences and growth
- Comprehensive health insurance
- Dental benefits
- Enhanced maternity and paternity leave
- Retirement or pension where applicable
- Access to therapists
- Wellbeing partnerships
- Team socials
- Salaries benchmarked against the market annually