Software Engineer

Are you passionate about building and operating large-scale distributed systems powering real-time data Do you enjoy combining platform engineering, automation, and AI-driven operations to deliver highly reliable and scalable systems

Join Maersk s Technical Services Engineering as a Platform Engineer for the Event Streaming Platform, where you will help evolve a cloud-native, Kafka-based platform that enables real-time integration across global logistics systems.

This role provides a unique opportunity to work at the intersection of event streaming, cloud platforms, platform engineering, and AI-driven operations , contributing directly to Maersk s ambition of becoming a digital leader in global trade.

We are hiring a Platform Engineer to build and operate our enterprise-scale Event Streaming Platform, a Kafka-based backbone powering real-time data across global systems.

You will work on a modern platform spanning Azure (AKS), AWS (EKS), and on-premises Kafka clusters, combining distributed systems, cloud-native engineering, and AI-driven operations.

This role is ideal for engineers passionate about Kafka at scale, platform engineering, and operational excellence.

• Implement and enhance a scalable, multi-tenant Kafka platform across cloud and on-prem environments
• Build self-service capabilities (APIs, automation, onboarding workflows)
• Contribute to a developer-first platform with strong focus on usability and reliability
• Drive automation-first engineering using Infrastructure-as-Code and GitOps

• Operate Kafka clusters on Kubernetes (AKS/EKS) and on-prem (VM/bare-metal)
• Own:
  • Topic design, partitioning, replication strategy
  • ISR management and broker health
  • Performance tuning (throughput, latency, storage)
• Support hybrid patterns (on-prem cloud connectivity, replication, migration)

• Apply AI/ML techniques for:
  • Anomaly detection and predictive alerting
  • Faster incident triage and root cause insights
  • Automated remediation (AIOps)
• Use AI tools to accelerate Debugging, Runbook creation and Operational automation

• Define and track SLIs/SLOs and error budgets
• Build and monitor observability using Prometheus, Grafana, Loki
• Drive proactive reliability and blameless postmortems

• Improve reliability through:
  • Automation and failure testing
  • Strong runbooks and incident response
• Participate in on call with focus on prevention over reaction
• Ensure robust change management and pre-prod validation

• Optimize infrastructure and network cost across cloud and on-prem
• Right-size Kafka clusters and improve utilization
• Provide cost and usage visibility to platform users

• Work with product, SRE, network, and security teams
• Guide teams on event streaming best practices
• Contribute to platform roadmap and architecture decisions

• 3-8 years in Platform Engineering / SRE / Software Engineering
• Strong hands-on experience operating Apache Kafka in production
• Deep understanding of the Kafka ecosystem (Kafka Connect, MirrorMaker, Schema Registry etc) and practical experience operating and optimizing data streaming platforms at scale
• Strong experience with Kubernetes (AKS/EKS)
• Programming skills in Go or Python
• Experience with cloud platforms (Azure/AWS) and on-prem systems (Linux, networking)

• Experience with CI/CD and GitOps (Flux, ArgoCD, GitHub Actions, Terraform etc)
• Strong knowledge of:
  • Observability (metrics, logs, traces)
  • SRE practices (SLOs, SLIs, incident management)

• Exposure to AI/ML or AIOps in operations
• Ability to use AI tools for:
  • Troubleshooting and automation
  • Improving engineering productivity
• Data-driven mindset with telemetry and metrics

• Experience in Kafka Streams, Apache Flink, MQ
• Hybrid architecture experience (cloud + on-prem integration)
• Troubleshooting across:
  • Network (DNS, routing, load balancers)
  • Storage and disk performance
• Exposure to FinOps, security, and compliance

• Work on a mission-critical global platform
• Deep exposure to Kafka at scale and hybrid architectures
• Opportunity to shape AI-driven platform operations
• Strong engineering culture focused on:
  • Automation-first mindset
  • Blameless postmortems
  • Continuous improvement

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking.

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 .