Integration specialist

Our client is looking for a Integration specialist (Platform Engineer) within ICC. You will be responsible for building,

operating, and continuously improving integration and platform capabilities that are used by multiple development teams.

The role focuses on integration of platform stability, automation, self-service, and end-to-end operational responsibility (you

build it – you run it). This position is centered around Kafka cluster & Hive MQ administration and the automation of related

management tasks, ensuring reliable operation and scalability of the platforms. While the position is not focused on daily

application development, you are expected to participate in customer projects when needed.

• Design, deploy, and maintain multi-cluster, multi-region Apache Kafka environments managed by the Strimzi Operator or similar

on Kubernetes, as well as enterprise HiveMQ MQTT brokers.

• Drive the platform upgrade lifecycle (minor and major versions) for Kafka, Strimzi, and HiveMQ, coordinating platform patching

cadences seamlessly to mitigate CVEs with zero application downtime.

• Formulate and implement scaling strategies, node affinity rules, topology spread constraints, and persistent volume management

optimized for IOPS-intensive message workloads.

• Manage Kafka broker partition layouts, topic compaction configurations, segment retention behaviors, and cluster-wide resource

allocation.

• Design high-availability and disaster recovery strategies, including cross-region replication and automated failover, to

maintain platform resilience as usage scales.

• Architect edge traffic routing to messaging clusters using advanced ingress layers, translating complex routing policies and

managing edge capabilities like Envoy Gateway or custom proxies.

• Enforce data governance boundaries by implementing Kafka ACLs, SASL authentication structures, and integrating API Managers for

authentication intercept handles (e.g., managing OAuth/OIDC validation paths)

• Implement robust end-to-end security frameworks, including mutual TLS (mTLS) validation, SSL verification, SASL/SCRAM and RBAC

for the platforms.

• Build and maintain deep observability pipelines using Prometheus and Grafana, configuring custom dashboards to monitor critical

broker KPIs

• Formulate proactive alerting rules to catch cluster anomalies—such as KubeNodeNotReady, JVM memory degradation, disk capacity

thresholds, or storage detached states—before they impact production workloads.

• Act as a technical subject matter expert (SME) for application engineering teams developing in Java / Spring Boot, advising on

optimal Producer/Consumer settings (e.g., acks, idempotency, batch sizing, schema management).

• Architect and maintain reusable GitHub Actions CI/CD pipelines to validate, lint, and test infrastructure manifests, Kafka

client configurations, and custom plug-ins prior to deployment.

• Utilize automated scaling frameworks like KEDA (Kubernetes Event-driven Autoscaling) to dynamically scale application consumers

based on real-time lag and throughput metrics.

• Provide clean abstractions, developer self-service tooling, and documented READMEs to empower development teams to provision

topics, schemas, and credentials safely within architectural guardrails.