Senior Platform Engineer (GCP & Kafka)

• Help design, build and continuously improve the clients online platform.
  
• Research, suggest and implement new technology solutions following best practices/standards.
  
• Take responsibility for the resiliency and availability of different products.
  
• Be a productive member of the team.
  

Requirements

• 10+ years of overall IT experience.
  4-6 years of hands-on experience with Apache Kafka, Strimzi, Kafka Connect API, and KRaft.
  
• 4-6 years of experience with Java and Spring Boot.
  
• Strong hands-on experience with Jinja SQL and dbt.
  
• Expertise in GCP, particularly BigQuery and Cloud Functions, with strong Python skills.
  
• Solid knowledge of data warehousing and data modeling, including Kimball methodology.
  
• Experience with GitHub CI/CD and Terraform.
  
• Strong experience with Apache Kafka or similar event-streaming platforms.
  
• Excellent written and spoken English.
  
• Strong communication and stakeholder-management skills.
  
• Strong experience with PostgreSQL.
  
• Strong hands-on experience with Azure Kubernetes Service (AKS).
  
• Good knowledge of Linux, including WSL.
  
• Experience with GitHub Actions and Argo CD.
  
• Experience with Helm, Terraform, and DevOps automation.
  
• Strong understanding of CI/CD using GitHub Actions and/or Jenkins.
  
• Experience with GCP Dataflow, Cloud Run Services/Jobs, and Cloud Build.
  
• Experience with Google Looker and semantic data modeling.
  
• Exposure to Azure, AWS, or GCP environments.
  
• Experience with cloud cost optimization.
  
• Knowledge of data-driven engineering and modern cloud-native architectures.
  
• Experience with Splunk, Grafana, Prometheus, Fluent Bit, and/or OpenTelemetry.
  
• Strong platform-level expertise in Apache Kafka, including cluster management, performance, security, and reliability.
  
• Experience with HiveMQ is an advantage.
  
• Knowledge of APIM platforms is desirable.
  
• Experience developing AI agents, including frameworks/protocols such as A2A.
  
• Experience with AI-assisted development tools, such as GitHub Copilot or Claude.
  
• Experience working within an Integration/Platform Engineering department in a large enterprise environment.
  
• Knowledge of semantic modeling and enterprise data platforms.
  
• Business-oriented, responsible, and comfortable balancing technical details with a broader architectural perspective.
  
• Strong problem-solving and analytical skills.
  
• Passionate about data-driven development and able to coach and inspire others.
  
• Strong communication, collaboration, and stakeholder-management skills.
  
• Proactive, humble, and comfortable taking operational ownership and responsibility.
  
• Fluent in English; Swedish is an advantage.
  

Benefits

• International, collaborative consulting culture with clear career development paths.
  
• Comprehensive Swedish benefits package emphasizing well-being, mobility, and career growth.