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.
About the Role:
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.
What You’ll Do:
Build & Evolve the Platform
- 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 at Scale
- 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)
AI-Driven Operations
- 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
Observability & Reliability Engineering
- Define and track SLIs/SLOs and error budgets
- Build and monitor observability using Prometheus, Grafana, Loki
- Drive proactive reliability and blameless postmortems
Operational Excellence
- 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
Cost & Efficiency
- 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
Collaboration
- Work with product, SRE, network, and security teams
- Guide teams on event streaming best practices
- Contribute to platform roadmap and architecture decisions
What We’re Looking For:
Must Have:Core Requirements
- 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)
Platform & DevOps
- 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)
AI & Modern Engineering
- 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
Good to Have
- 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
What You’ll Get:
- 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. 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].
Skills Required
- 3-8 years of experience in Platform Engineering, SRE, or Software Engineering
- Hands-on experience operating Apache Kafka in production
- Strong understanding of Kafka Connect, MirrorMaker, Schema Registry, and data streaming platform optimization
- Strong experience with Kubernetes, including AKS or EKS
- Programming skills in Go or Python
- Experience with Azure or AWS cloud platforms
- Experience with on-premises systems, Linux, and networking
- Experience with CI/CD and GitOps tools such as Flux, ArgoCD, GitHub Actions, or Terraform
- Knowledge of observability, including metrics, logs, traces, and tools such as Prometheus, Grafana, or Loki
- Knowledge of SRE practices, including SLOs, SLIs, and incident management
- Exposure to AI/ML or AIOps in operations
- Experience using AI tools for troubleshooting and automation
- Experience with Kafka Streams, Apache Flink, or MQ
- Hybrid cloud and on-premises architecture experience
- Troubleshooting experience across networks, storage, and disk performance
- Exposure to FinOps, security, and compliance
A.P. Moller - Maersk Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about A.P. Moller - Maersk and has not been reviewed or approved by A.P. Moller - Maersk.
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Healthcare Strength — Company materials and job postings consistently highlight comprehensive medical, dental, and vision coverage, with U.S. transparency-in-coverage links indicating established group plans. These benefits are framed as part of a global rewards approach that aims for a consistent experience across markets.
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Retirement Support — U.S. roles commonly include a 401(k) with company match, reflected across multiple current postings. Disclosures also describe retirement savings as a core element of the company’s global benefits framework.
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Parental & Family Support — A global minimum of 18 weeks of fully paid maternity leave signals a strong baseline for family benefits. Guidance encourages candidates to clarify local parental provisions, reflecting structured policy with country-specific application.
A.P. Moller - Maersk Insights
What We Do
A.P. Moller - Maersk is an integrated transport and logistics company; going all the way, together, for our customers and society. ALL THE WAY is our commitment to connect the world so that everyone has both the possibility and the ability to trade, grow and thrive. The company employs roughly 110.000 employees across operations in 130 countries.
