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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 optimizing AI platforms, including model serving and inference runtimes, while ensuring security and performance. Proficient in deploying scalable services using containers and Kubernetes, with a strong focus on observability and troubleshooting in distributed systems.
Highest-signal resume keywords
AI Platform ManagementContainer OrchestrationDistributed Systems TroubleshootingLinux AdministrationSecurity Clearance Eligibility
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model ServingInference RuntimesAI GatewaysPerformance MonitoringInfrastructure as CodeCI/CDPython ProgrammingBash ScriptingGo ProgrammingGPU Workload Management
Soft Skills
Effective CommunicationStakeholder EngagementCuriosityContinuous Improvement
Tools & Technologies
KubernetesDockerVLLMSGLangLiteLLMBifrost
Certifications & Qualifications
Full Security Clearance
Industry Keywords
AI ServicesObservabilitySRE PracticesSecure Service DesignAccess Control
Tech Stack
Tools & technologiesDistributed SystemsDockerKubernetesLinuxPythonGo
About the role
Key responsibilities & impact- Own the platform layer above managed GPU infrastructure, including model serving, inference runtimes, AI gateways and supporting services
- Make AI platform capabilities easy for engineering teams to consume while maintaining security, performance and availability controls
- Deploy and operate scalable inference services using containers, Kubernetes, vLLM and AI gateway platforms
- Improve platform observability and performance
- Investigate complex technical issues across the platform
- Establish engineering standards for operating AI services in a secure enterprise environment, including systems with no internet route
Requirements
What you’ll need- Experience operating shared or business-critical platforms
- Familiarity with large language models and the practical considerations of running them
- Experience troubleshooting distributed systems and performance issues
- Familiarity with infrastructure as code and CI/CD
- Effective communication and stakeholder engagement
- Curiosity and a drive for continuous improvement
- Experience with Linux, application and server administration
- Experience with containers and container orchestration, such as Docker and Kubernetes
- Experience with AI inference and model serving platforms, such as vLLM, SGLang or similar
- Experience with AI gateways and API management, such as LiteLLM, Bifrost or similar
- Experience with GPU workloads, including performance, utilisation and resource management
- Programming and scripting experience, such as Python, Bash or Go
- Experience with monitoring, observability and SRE practices
- Knowledge of secure, resilient and scalable service design
- Knowledge of authentication, access control, rate limiting and service integration
- Technical documentation and operational guidance skills
- Must be eligible for full security clearance
Benefits
Comp & perks- Company-funded comprehensive benefits package
- Generous leave with opportunity to accrue up to 12 additional flexi-days each year
- Award-winning pension scheme with up to 15% employer contribution
- Free mental health support
- Free financial advice
- Employee-led inclusion and diversity networks
- Bonus scheme for employees at management level and below
- Free access to 4,000+ online courses via Coursera and LinkedIn Learning
- Financial reward through referral programme
- Up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech and lifestyle discounts, gym memberships and more
- Flexible hours with hybrid working options