Senior Kafka Platform Engineer Integration & Cloud

About this job

🚀 We’re Hiring: Senior Kafka Platform Engineer – Integration & Cloud 📍 Location: Stockholm, Sweden 🏢 Work Model: 25% Remote 💼 Role: Senior Kafka Platform Engineer – Integration & Cloud ⭐ Seniority: Senior 📅 Assignment Period: 19 October 2026 – 30 September 2027 🕐 Workload: 100% 💼 Visa: Sweden Work Authorization visa is mandatory and no visa sponsorship is available for this role. ⏳ Availability: Immediately/On a short notice About the Role We are looking for an experienced Senior Kafka Platform Engineer to join one of our consulting assignments in Stockholm. You will be responsible for building, operating, securing, and continuously improving integration and messaging platform capabilities used by multiple development teams. The role has a strong focus on Apache Kafka, Strimzi, Kubernetes, HiveMQ, automation, observability, security, and platform operations. You will work with a “you build it – you run it” approach, taking end-to-end responsibility for platform stability, scalability, performance, and operational excellence. This is primarily a platform engineering and integration role, rather than a traditional application development position. Key Responsibilities Design, deploy, operate, and maintain multi-cluster and multi-region Apache Kafka environments using Strimzi on Kubernetes. Manage enterprise HiveMQ MQTT broker environments. Plan and execute Kafka, Strimzi, and HiveMQ upgrades and security patching with minimal or zero application downtime. Develop and maintain custom Kafka Connect Source/Sink connectors for integration between legacy systems and cloud environments. Design Kafka scaling strategies, node affinity, topology spread constraints, persistent storage, and resource allocation for high-volume workloads. Manage Kafka topics, partitions, compaction, retention, segments, and cluster resources. Design and maintain high-availability and disaster-recovery solutions, including cross-region replication and automated failover. Manage Schema Registry and support Avro, Protobuf, and JSON Schema governance. Design secure ingress and traffic-routing solutions for messaging platforms. Implement Kafka ACLs, SASL authentication, OAuth/OIDC integrations, RBAC, SSL, and mTLS. Build and maintain observability solutions using Prometheus, Grafana, Splunk, Fluent Bit, and/or OpenTelemetry. Develop proactive monitoring and alerting for infrastructure and Kafka-related issues. Perform root-cause analysis for platform incidents and implement preventative measures. Provide advanced/Tier 3 support for issues including consumer lag, rebalance problems, storage issues, and network bottlenecks. Act as a technical SME for development teams using Java and Spring Boot, providing guidance on Kafka producer/consumer configurations and best practices. Develop reusable GitHub Actions CI/CD pipelines for infrastructure, configuration, and deployment validation. Use ArgoCD, Helm, Terraform, and Infrastructure-as-Code practices to manage platform environments. Implement automated scaling solutions such as KEDA where appropriate. Build developer self-service capabilities for provisioning topics, schemas, credentials, and other platform resources within defined governance and security controls. Maintain clear technical documentation, READMEs, and operational guidelines. Take ownership of incident, problem, and change management at platform level. Collaborate with security, architecture, infrastructure, and development teams. Required Skills & Experience Kafka & Integration 4–6 years of hands-on experience with Apache Kafka at platform level. Strong experience with Strimzi and Kafka running on Kubernetes. Experience with Kafka Connect API and KRaft. Experience with HiveMQ or enterprise MQTT platforms. Strong understanding of Kafka cluster administration, performance, security, scalability, and troubleshooting. Experience with Schema Registry and Avro, Protobuf, or JSON Schema. Cloud & Kubernetes Strong experience with Azure Kubernetes Service (AKS). Solid Kubernetes administration and troubleshooting experience. Experience with Linux environments, including WSL. Experience with Azure, AWS, or Google Cloud is beneficial. Java & Application Integration 4–6 years of experience with Java and Spring Boot. Understanding of Kafka integration patterns and Producer/Consumer configuration. Experience working with PostgreSQL. DevOps & Automation Strong experience with CI/CD using GitHub Actions and/or Jenkins. Experience with ArgoCD. Infrastructure-as-Code experience using Terraform or equivalent technologies. Experience with Helm and OCI-based artifacts. Observability Experience with Prometheus and Grafana. Knowledge of Splunk, Fluent Bit, and/or OpenTelemetry. Experience designing monitoring, alerting, dashboards, and operational KPIs. Nice to Have Experience with API Management platforms. Experience across Azure, AWS, and/or Google Cloud. Cloud cost optimization experience. Experience working within large enterprise integration

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