Key Responsibilities

• Design, develop, and maintain scalable applications using .NET (C#, .NET Core).
• Architect and implement cloud-native solutions on Azure and AWS services - Microsoft Azure, leveraging services such as App Services, Azure Functions, Service Bus, and Azure Kubernetes Service (AKS).
• Build and manage event-driven systems using Kafka, including topic design, producers, and consumers.
• Implement workflow orchestration using Temporal, ensuring reliable execution of long-running business processes.
• Hands-on experience with AI-driven software development and AI-assisted engineering practices.
• Proven experience in building Agentic AI applications using MCP (Model Context Protocol), context management frameworks, skill/tool orchestration, and Large Language Models (LLMs).
• Strong understanding of AI agent architectures, prompt engineering, retrieval and context management, tool integration, and autonomous workflow design.
• Experience integrating AI agents with enterprise systems, APIs, and business workflows to deliver intelligent automation solutions.
• Ability to deliver a feature end-to-end
• Collaborate with cross-functional teams (Product, Architecture, DevOps) to deliver high-quality solutions.
• Ensure system reliability, performance, and scalability through best engineering practices.
• Lead code reviews, enforce coding standards, and mentor junior engineers.
• Troubleshoot production issues and drive root cause analysis and resolution.
• Contribute to CI/CD pipelines and promote DevOps best practices.

Required Skills & Qualifications

• Strong experience in .NET / .NET Core development (C#).
• Hands-on experience with Microsoft Azure cloud platform.
• Proven experience with event streaming platforms (Apache Kafka).
• Experience with Temporal (or similar workflow orchestration frameworks).
• Solid understanding of microservices architecture and distributed systems.
• Experience with REST APIs, asynchronous communication, and messaging patterns.
• Familiarity with database technologies (Postgress/SQL/NoSQL).
• Experience with containerization (Docker) and orchestration (Kubernetes) is a plus.
• Experience with Frontend technologies such as Vue, React, Angular
• Experience with end-to-end application performance from DB scaling, API Performance and UI Performance

• Strong problem-solving skills and ability to work in a fast-paced environment.

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]. 

Preferred Qualifications

• Experience in high-scale, enterprise-grade systems.
• Exposure to observability tools (logging, monitoring, tracing).
• Knowledge of security best practices in cloud environments.
• Prior experience in supply chain, logistics, or data-intensive platforms.

Soft Skills

• Strong communication and collaboration skills.
• Proactive mindset with a focus on ownership and accountability.
• Ability to mentor and guide team members.