Senior System Engineer - Platform​/Messaging

Sr Systems Engineer Platform – Messaging Platform will play a key role in designing, implementing, and maintaining enterprise messaging systems that support both real‑time and asynchronous communication between distributed applications and services. This role focuses on ensuring robust, scalable, secure, and cost‑efficient messaging solutions across hybrid cloud and on‑premises environments. The engineer will work closely with architects, developers, infrastructure, and Dev Ops teams to standardize messaging platforms and promote modern integration patterns that align with the organization’s digital transformation goals.

This position is an on‑site position located in Springfield, MO.

• Design, implement, and support scalable messaging platforms including Apache Kafka (Confluent/OSS), Google Cloud Pub/Sub, and legacy systems such as IBM MQ.
• Build high‑throughput, low‑latency event streaming pipelines that support mission‑critical workloads, leveraging Kafka brokers, topics, partitions, and consumer groups.
• Define and enforce schema governance using tools like Confluent Schema Registry or Apicurio; enforce consistent serialization formats (e.g., Avro, JSON, Protobuf).
• Standardize topic taxonomy and hierarchy across business domains, enforce naming conventions, and implement lifecycle management practices for topics and subscriptions.
• Manage Kafka Connect connectors (source/sink), KSQLDB flows, and stream processing topologies using Kafka Streams.
• Define and implement platform‑wide policies for message retention, compaction, ACLs, multi‑tenancy isolation, and access control.
• Ensure reliable message delivery through producer retries, dead‑letter queues, idempotency handling, and exactly‑once semantics where applicable.
• Automate deployment and configuration of messaging infrastructure using Terraform, Helm, Ansible, and Kubernetes operators (e.g., Strimzi for Kafka).
• Maintain Git‑based configuration‑as‑code repositories to drive consistency and auditability across environments.
• Develop CI/CD pipelines to support promotion of configuration artifacts, rolling upgrades of messaging clusters, and dynamic provisioning of topics and consumer policies.
• Implement proactive drift detection, self‑healing scripts, and platform bootstrapping workflows.
• Integrate messaging platforms with enterprise IAM (e.g., GCP IAM, LDAP, Kerberos, or RBAC for Confluent/Kafka).
• Implement encryption in transit and at rest using TLS, mTLS, SASL/SCRAM, and Kafka‑level ACLs.
• Implement observability dashboards and alerts using Prometheus, Grafana, Confluent Control Center, ELK Stack, or Google Cloud Operations Suite.
• Establish performance baselines and configure SLA/SLO‑based monitoring for producers, consumers, brokers, and Zoo Keeper.
• Partner with development teams to onboard producer and consumer applications through reusable connectors, API‑to‑event bridges, and SDKs.
• Provide technical guidance and documentation on best practices for schema evolution, idempotent messaging, and replayable data streams.
• Lead efforts to decommission legacy messaging platforms (e.g., MQSeries, Rabbit
  
  MQ) and consolidate onto modern event‑streaming technologies.
• Evaluate emerging messaging technologies (e.g., Pulsar, Redpanda) for specific workloads or cost optimization opportunities.

• 5+ years of hands‑on experience with enterprise‑grade messaging platforms, including Apache Kafka (Confluent/OSS), Google Cloud Pub/Sub, or equivalent.
• Deep expertise in Kafka architecture including broker management, partitioning, replication, log retention, and consumer group coordination.
• Proficiency in schema evolution and contract validation using Confluent Schema Registry, Apicurio, or similar tools.
• Demonstrated experience with Kafka Connect, Kafka Streams, and stream processing applications for real‑time data movement.
• Strong knowledge of topic hierarchy management, naming conventions, access control (ACLs), and governance policies.
• Experience designing and deploying messaging platforms for mission‑critical, high‑throughput, low‑latency event‑driven systems.
• Experience deploying and managing messaging workloads on GCP using Google…