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

Fixed Term Employment Contract Work-Life Balance Flexible Work Mode What GeekSoft Consulting Offers International, collaborative consulting culture with clear career development paths. Comprehensive Swedish benefits package emphasizing well-being, mobility, and career growth.