Kafka Platform Engineer

Job Posting End Date
10-24-2026

Please note the job posting will close on the day before the posting end date.

Job Summary This role is responsible for engineering and operating the enterprise Kafka platform, company's strategic data movement backbone. The focus is on platform stability, scalability, data safety, and enablement of producer/consumer teams.

Job Description What You'll Do:

Essential Job Functions & Tasks:
Deploy and manage Kafka connectors (CDC, JDBC, IBM MQ, Redshift, etc.) in Confluent Kafka environments.

Containerize and deploy microservices and connectors on Open Shift using Docker, YAML, and Kustomize.

Implement CI/CD pipelines using Git Hub Actions and Argo CD for automated deployments.

Perform basic Kafka administration tasks such as topic creation, partitioning, replication, and monitoring.

Collaborate with architects and business teams to understand integration requirements and deliver scalable solutions.

Monitor Kafka clusters and connector health using tools like Confluent Control Center, Prometheus, Grafana, Dynatrace, Splunk and Open Shift-native monitoring.

Build and maintain custom connectors for specialized data sources and sinks.

Support production deployments and troubleshoot issues across Kafka pipelines and Open Shift environments.

Clear understanding of cloud managed services including AWS, Azure cloud to deploy Confluent connectors for data integrations

Support real-time data streaming between on-prem systems and cloud/SaaS platforms.

Work closely with business teams, architects, and product owners to understand integration requirements.

Coordinate with co-sourced/offshore teams for development and deployment tasks.

Conduct code reviews, quality checks, and ensure adherence to standards.

Ensure reliability and scalability of Kafka pipelines by applying 12-Factor principles and microservices architecture.

Collaborate with architects and platform teams to align Kafka solutions with enterprise integration patterns and cloud strategies.

Automate deployment, monitoring, and operational tasks wherever possible.

Own integration of deliverables from design through production deployment.

Act as Subject Matter Expert (SME) for Kafka-based integrations and cluster administration.

Additional Requirements:

Strong hands‑on Kafka experience in production environments.

Understanding of distributed systems, messaging semantics, and fault tolerance.

Experience with Kafka Deployments in Kubernetes Platform (Open Shift, Docker etc.)Experience with Multi-Region High Availability on-premises deployments

Experience with building producer/consumer applications using Kafka connectors

Experience building custom microservices in Python/Java

Experience with Kafka security (TLS, ACLs, RBAC).Ability to troubleshoot complex, cross‑team data flow issues.

Preferred Requirements:

Experience with Schema Registry, Kafka Connect, Mirror Maker.

Experience with Oracle Golden Gate or similar CDC tool for data movement

Familiarity with enterprise integration patterns and platforms (APIM, Camunda, web Methods, Oracle SOA or similar technologies).

What We're Looking For:

Education requirements are listed below:

Bachelor's degree in computer science, engineering, or related technical field is required.

Work Experience Requirements are listed below:7 years’ relevant work experience is required.  An equivalent combination of education and related experience may be considered.

License(s)/Certification(s) are listed below:
Confluent Certified Administrator for Apache Kafka (CCAAK)
Confluent Certified Developer for Apache Kafka (CCDAK)
Confluent Certified Cloud Operator (CCAC)
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