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Platform Engineer Kafka Jobs (NOW HIRING)

Bright Vision Technologies

Kafka Platform Engineer

They are seeking an experienced Kafka Platform Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments, ensuring a reliable and developer-friendly ...

SolveIT Services Inc

SRE Engineer with Kafka

Irvine, CA · Hybrid

$61.25 - $81.25/hr

Site Reliability Engineer (Kafka, AWS, Terraform) Irvine, CA (Hybrid) Long-Term Contract Client is ... The candidate will Deliver API - Platform Engineering by leading solution initiatives. Recommend ...

VDart, Inc.

Software Engineer (Kafka)

Frisco, TX

Software Engineer (Kafka) Location: Bellevue, WA / Frisco, TX Duration: / Term: 6+ months ... source messaging platforms, and end-to-end features spanning real-time, API, and data layers.

O'Reilly Auto Parts

Messaging Platform Engineering Design and operate scalable messaging platforms (Kafka, Pub/Sub, legacy MQ) supporting high-throughput, low-latency event streaming. Manage topics, schemas (Avro/JSON ...

FastTek

Platform Engineer

Dearborn, MI

Platform Engineer #1052676 * A platform software Engineer is a versatile developer with expertise ... KAFKA Experience Required: * 5+ years of experience in software development (Java/Python) * 3+ ...

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How much do platform engineer kafka jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for platform engineer kafka in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Platform Engineer Kafka, and why are they important?

To thrive as a Platform Engineer Kafka, you need expertise in distributed systems, strong programming skills (often in Java, Scala, or Python), and a solid understanding of Kafka architecture and stream processing, typically backed by a relevant degree in computer science or engineering. Familiarity with Linux systems, containerization tools (Docker, Kubernetes), and Kafka certifications such as Confluent Certified Developer or Administrator are commonly required. Excellent problem-solving abilities, collaboration, and effective communication are critical soft skills for success in this role. These skills ensure reliable data pipelines, system scalability, and seamless integration within complex, data-driven environments.

What are the typical challenges Platform Engineers face when managing Kafka clusters in a production environment?

Platform Engineers working with Kafka often encounter challenges such as ensuring high availability, managing data retention policies, and scaling clusters to handle fluctuating workloads. Troubleshooting issues like broker failures, message lag, and balancing partitions can require in-depth knowledge of Kafka's architecture and monitoring tools. Collaboration with DevOps, application developers, and data engineering teams is also essential to optimize configurations and maintain secure, reliable data pipelines.

What does a Platform Engineer Kafka do?

A Platform Engineer Kafka is responsible for designing, building, and maintaining scalable and reliable Apache Kafka infrastructure within an organization. They ensure efficient data streaming, monitor system health, and troubleshoot issues related to Kafka clusters. Platform Engineers also work closely with development teams to support data integration, optimize performance, and implement best practices for security and availability. Their goal is to provide a robust platform for real-time data processing and analytics.

What is the difference between Platform Engineer Kafka vs Data Engineer?

AspectPlatform Engineer KafkaData Engineer
Primary FocusBuilding and maintaining Kafka-based data streaming platformsDesigning, developing, and managing data pipelines and storage
Skills & CertificationsKafka expertise, scripting, cloud platforms, LinuxSQL, ETL tools, cloud services, data modeling
Work EnvironmentDevOps teams, cloud infrastructure, real-time data systemsData teams, analytics platforms, data warehouses

While both roles involve data systems, Platform Engineer Kafka specializes in Kafka infrastructure and real-time streaming, whereas Data Engineers focus on broader data pipeline development and data storage solutions. The roles often collaborate but have distinct technical focuses.

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Platform Engineer Kafka jobs near you
Infographic showing various Platform Engineer Kafka job openings in the United States as of May 2026, with employment types broken down into 54% Full Time, and 46% Part Time. Highlights an 98% Physical, and 2% Hybrid job distribution, with an average salary of $133,026 per year, or $64 per hour.

Platform Engineer- Kafka with Linux

Futran Tech Solutions Pvt. Ltd.

Manhattan, NY • On-site

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Platform Engineer- Kafka with Linux
Duration: 6 - 12 months
Location: NYC, NY
Rate: $60/hr.
Job description:
Core Platform Engineer with deep expertise in Apache Kafka and Linux systems engineering.
The ideal candidate will be responsible for designing, deploying, maintaining, and scaling Kafka clusters in mission-critical environments, while also supporting the Linux-based infrastructure that forms the foundation of our real-time data platform.
Responsibilities:
  • Design, implement, and maintain highly available Kafka clusters in production environments.
  • Perform Kafka upgrades and patching ensuring minimal downtime and seamless transitions.
  • Administer security protocols and access controls to protect the platform.
  • Monitor cluster health and performance using our established monitoring stack (Prometheus, Grafana)
  • Troubleshoot and resolve cluster-related incidents such as broker outages, replication lag.
  • Develop and enhance automation scripts to streamline operational tasks and reduce manual intervention.
  • Assist with planning and managing cluster resources to support future growth.
  • Develop Kafka topics, partitions, ACLs, schema registry, and optimize throughput and reliability.
  • Manage a tune Kafka Connect, Kafka Streams, and MirrorMaker as needed for data pipelines.
  • Ensure platform reliability and performance on enterprise-grade Linux systems (RHEL, Ubuntu).
  • Automate Kafka provisioning, configuration, and monitoring using Infrastructure as Code (IaC) and configuration management tools (e.g., Ansible, Terraform).
  • Deep knowledge of Kafka ecosystem components like ZooKeeper, Kafka Connect, Schema Registry, MirrorMaker, KRaft (Kafka without ZooKeeper).
  • Build custom Kafka tooling and dashboards for producers and consumers, monitor lag and health metrics.
  • Work with engineering teams to onboard new Kafka use cases and ensure security and compliance standards.
  • Perform root cause analysis and resolution of platform-level incidents and outages.
  • Develop and maintain Linux shell scripts for automation of deployments, monitoring, and maintenance tasks.

Minimum Qualifications:
  • BE/B Tech/MCA
  • Excellent written and verbal communication skills
  • Min 5+ years of experience.
  • Experience in Finance Domain

Preferred Qualifications/ Skills:
  • Strong hands-on experience with Apache Kafka (2.x or 3.x), including cluster administration and tuning.
  • In-depth experience with Linux system internals, kernel tuning, filesystems, and performance troubleshooting.
  • Experience in managing Kafka brokers in production environments with millions of messages per second.
  • Deep knowledge of Kafka ecosystem components like ZooKeeper, Kafka Connect, Schema Registry, MirrorMaker, KRaft (Kafka without ZooKeeper).
  • Scripting and automation skills in Shell, Python, or Go.
  • Experience in container orchestration platforms like Docker and Kubernetes.
  • Familiarity with SSL/TLS, SASL, RBAC, and encryption in-transit/at-rest for Kafka.
  • Expertise in monitoring and alerting for Kafka and Linux systems.
  • Strong understanding of distributed systems, message queues, and event-driven architectures

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