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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building Python services and microservices, with a strong focus on cloud-native infrastructure and MLOps practices. Proficient in integrating distributed workflows and ensuring observability through metrics and monitoring.
Highest-signal resume keywords
Python Service DevelopmentKubernetes ManagementCloud-Native InfrastructureMLOps ExperienceReact Front-End Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Microservices ArchitectureSystem DesignAPI IntegrationObservability MetricsAutomation with AI Coding AgentsTraining PipelinesSimulation TechniquesModel ProductionisationLogging and TracingEnd-to-End Workflow Development
Soft Skills
Collaboration Across TeamsConflict Resolution
Tools & Technologies
AzureKubernetesReactAI Coding AgentsMonitoring Tools
Industry Keywords
MLOpsModel Release WorkflowsBehavioural CloningReinforcement LearningOperational Tooling
Tech Stack
Tools & technologiesAzureCloudKubernetesMicroservicesPythonReact
About the role
Key responsibilities & impact- Design and build Python services and microservices orchestrating the end-to-end model-release workflow
- Integrate feature candidates into release branches and automate readiness checks before training begins
- Connect with training platforms and APIs to coordinate behavioural-cloning, reinforcement-learning and subsequent training steps
- Trigger simulation and on-road tests, collect results and surface quality gates, approvals and release status
- Productionise services on Azure and Kubernetes, improving availability, scalability, performance, monitoring and alerting
- Investigate issues, automate manual work and accelerate delivery using AI coding agents
- Build and maintain an end-to-end platform spanning feature integration, training, simulation, on-road testing, approvals and model promotion
- Connect distributed workflows and APIs across Model Engineering, MLOps, Measurement, Evaluation, Simulation, Operations and Release Management
- Provide approval gates, observability and operational tooling for visibility into model candidates and progress
- Develop cloud-native services with metrics, logging, tracing, monitoring and alerting
- Build platform UI workflows, including React-based experiences where useful
- Develop agentic automation to reduce manual engineering effort and increase delivery capacity
- Collaborate across organisational boundaries to establish dependable interfaces and resolve conflicting priorities
Requirements
What you’ll need- Strong software or platform engineering experience building reliable production services or microservices, ideally in Python
- Hands-on experience with Kubernetes, cloud-native infrastructure and production service operations; Azure experience would be an advantage
- Strong system-design skills across distributed workflows, APIs, orchestration and multi-system integrations
- Established observability using meaningful metrics, logging, tracing, monitoring and alerting
- Ability to collaborate effectively across organisational boundaries, agree dependable interfaces and work through conflicting priorities
- Confident and practical use of AI coding agents or LLM tools in day-to-day engineering workflow
- Experience with MLOps, model productionisation, training pipelines, evaluation, simulation or model-release workflows would be an advantage
- Front-end development experience, particularly with React, would be beneficial
- Eligibility to work in the country where applying
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 and the chance to work hands on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more
- Salaries benchmarked against the market annually