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Lead Kafka Platform Engineer

Job in Edison, Middlesex County, New Jersey, 08818, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, IT Infrastructure, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead complex initiatives to design and deliver Confluent Kafka platforms on Open Shift (OCP), enabling scalable, resilient, and secure event streaming solutions for enterprise applications
  • Design, build, deploy, and maintain Kafka infrastructure on OCP using operator-based frameworks, supporting components such as brokers, KRaft controllers, Schema Registry, Kafka Connect, Fink and Control Center
  • Drive continuous improvement and modernization efforts, including platform upgrades, automation, and performance optimization across Kafka and OCP environments
  • Evaluate and integrate Kafka ecosystem tools and OCP-native capabilities, ensuring alignment with enterprise architecture standards and target-state platform design
  • Develop and maintain automation frameworks using CI/CD pipelines and Infrastructure-as-Code to standardize Kafka cluster provisioning, configuration, and lifecycle management
  • Architect and implement high availability and disaster recovery solutions, including cross-data center deployments, replication strategies, and cluster linking for multi-region resilience
  • Define and enforce platform governance standards, including naming conventions, topic management, schema governance, security policies, and data isolation strategies
  • Analyze and resolve high-impact incidents, performing root cause analysis and implementing corrective actions to improve reliability and prevent recurrence
  • Make key technical decisions on Kafka architecture and OCP deployment models, including cluster topology, storage integration, networking, and workload placement
  • Establish and manage operational risk and control processes, ensuring compliance with enterprise security, regulatory, and audit requirements
  • Optimize platform performance and cost through capacity planning, resource utilization tuning, and workload distribution strategies
  • Collaborate with application teams to support onboarding, migration, and adoption of Kafka, enabling self-service capabilities and best practices
  • Partner with internal platform teams (OCP, networking, security) and external vendors to drive platform delivery, resolve issues, and influence roadmap priorities
Requirements
  • 5+ years of experience in distributed systems, platform engineering, or infrastructure engineering, with a strong focus on event streaming platforms
  • Hands-on experience with Apache Kafka / Confluent Platform, including brokers, KRaft/Zookeeper, Schema Registry, Kafka Connect, and related ecosystem components
  • Strong experience working with container platforms such as Open Shift (OCP) or Kubernetes, including operators, name spaces, networking, and storage integration
  • Proven experience designing and operating highly available, multi-node or multi-data-center distributed systems, including replication, fault tolerance, and disaster recovery strategies
  • Experience with automation and Infrastructure-as-Code, including CI/CD pipelines, configuration management tools, and declarative deployment models
  • Solid understanding of networking, DNS, load balancing, and secure service exposure in containerized environments
  • Strong knowledge of security practices, including TLS/mTLS, authentication, authorization (RBAC), and certificate lifecycle management in enterprise environments
  • Experience with observability and monitoring tools, including metrics, logging, alerting, and performance tuning of distributed platforms
  • Proven ability to troubleshoot complex platform issues, perform root cause analysis, and implement long-term solutions
  • Strong understanding of capacity planning, performance optimization, and resource utilization for large-scale platforms
  • Experience working in regulated enterprise environments, with knowledge of risk management, controls, and compliance requirements
  • Excellent collaboration and communication skills, with the ability to work across engineering teams, infrastructure teams, and external vendors.
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