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We are looking for a Senior AI-Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI-powered applications, SaaS platforms, and cloud-native solutions. This is not a traditional DevOps-only role. The role combines application engineering with infrastructure ownership: building services, APIs, automation and internal tools, while also running cloud infrastructure, deployments, observability and production operations. The ideal profile is a strong fullstack or backend engineer, preferably TypeScript-heavy, with hands-on depth in AWS, Infrastructure as Code, containers, networking, permissions, secrets and observability. With modern AI and LLM tooling, repetitive engineering, infrastructure, debugging and automation work can be accelerated dramatically. We expect someone who uses AI-native workflows to investigate in parallel, generate and validate infrastructure changes, and support teams with high-quality execution.
Job Responsibility
Build services, APIs, scripts, automation, internal tools and lightweight frontend functionality where useful, mainly in TypeScript
Use IaC, ideally AWS CDK, to build pragmatic cloud patterns across containers, databases, queues, storage, networking, DNS, secrets and runtime configuration
Deploy and troubleshoot ECS Fargate workloads, including task definitions, services, load balancers, IAM roles, logs, scaling and deployment behavior
Handle IAM, least privilege, secrets, logs, metrics, alarms, failed deployments, configuration issues, networking problems and runtime incidents
Requirements
Hands-on use of Claude Code, Codex or similar advanced AI tools
Copilot-style autocomplete is not enough
Uses agents for development, infrastructure changes, debugging and operational investigation, while strongly reviewing and testing AI-generated code, scripts and configuration
Strong fullstack or backend engineering experience, especially with TypeScript
able to build production services, APIs, scripts, tools and automation
Comfortable across application code, infrastructure code, deployments and runtime systems, from problem clarification to production rollout
Strong IaC and AWS or similar cloud experience, ideally AWS CDK with TypeScript, across containers, ECS Fargate, networking, IAM, secrets, DNS, storage, databases, queues and runtime configuration
Strong observability, security and delivery judgment: logs, metrics, traces, dashboards, alarms, least privilege, deployment safety, pipeline permissions and safe developer access
Pragmatic production debugger with good judgment on scalability, availability, cost, security, operational trade-offs and clear English communication
What we offer
Work across AI-powered SaaS and cloud-native products, use modern AI tooling daily, and shape pragmatic infrastructure that helps teams ship faster and more safely
Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownership
Individual development opportunities, structured onboarding, and interdisciplinary collaboration
Flexible working models including hybrid work, home office, and mobile working
A modern tech environment and agile ways of working
Additional benefits such as pension plans, health offers, and employee discounts