About the role:

Build and run Maersk's homegrown Tech Ops products — Maersk Service Atlas, Tech Change Portal (Flux), Maersk Tech Standards Portal and AgentFlow — that raise the company's operational excellence posture and simplify business workloads through agentic automation. This is an AI-first, full-stack role: you go wherever the problem sits and use AI tooling as your default way of working, not an optional aid.

What you'll do:

• Build the systems that keep global technology honest. Work on an enterprise-scale asset registry tracking every technology asset, its owners and its resilience posture — building the views, certification workflows and APIs that other platforms depend on before code reaches production.

• Engineer the guardrails for change at scale. Develop the workflows, integrations and controls behind how production change is raised, approved and tracked across the company, plus the UX that makes governance feel effortless rather than bureaucratic.

• Turn engineering standards into live, measurable signal. Ingest data from a dozen enterprise sources, implement the scoring logic, and make it increasingly agentic so insight surfaces itself instead of waiting to be asked.

• Automate real business workloads with AI agents. Build connectors, nodes and reliability features on our agentic workflow platform, working directly with business stakeholders to replace manual, repetitive processes with working automation. You'll see the hours you give back.

• Own what you ship. Write tested code, fix defects with regression tests that stop them recurring, and shadow on-call to build real operational instinct — because here, you build it, you run it.

What you'll bring:

Engineering foundations

• Strong grounding in data structures, algorithms and OOP

• Full-stack ability across Python/FastAPI, TypeScript/React, PostgreSQL and MongoDB

AI & agentic engineering

• Exposure to building AI agents with LangChain / LangGraph orchestration and Google ADK

• Working understanding of RAG — chunking, embeddings, vector retrieval and grounding

• Familiarity with LLM evaluation: prompt testing, output benchmarking and regression checks on agent behaviour

• Fluency with AI coding assistants, applied with critical thinking rather than blind acceptance

Infrastructure & platform

• Hands-on exposure to Azure and Kubernetes

• Understanding of Temporal for durable workflow orchestration and Kafka for event-driven services

• Comfort with Git, Docker and CI/CD pipelines

Operations mindset

• Understanding of monitoring and observability — golden signals, alerting and failure detection

• Familiarity with DevOps and SRE principles: SLOs, incident response and full-lifecycle ownership

Ways of working

• Comfort engaging business stakeholders and translating operational pain into working automation

• Learning agility and clear communication

Why this role:

You'll write code that thousands of engineers across Maersk feel every week — in how they ship change, prove resilience and measure their own quality. It's a rare combination at this level: greenfield agentic AI work, enterprise-scale data, and a direct line to the business problems you're solving.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing  [email protected].