Kafka Platform Engineer in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Kafka Platform Engineer in the United States.

This role is an exciting opportunity for an experienced platform engineer passionate about building scalable and resilient streaming infrastructures. You will lead the design, deployment, and optimization of enterprise-grade event-driven systems supporting mission-critical workloads across cloud and on-premise environments. The position combines deep technical ownership with collaboration across engineering, operations, and business teams to deliver high-performance data streaming solutions. You’ll play a key role in improving reliability, automation, observability, and developer experience while shaping modern platform engineering practices. The environment values innovation, strong engineering discipline, and continuous improvement, offering the chance to work on large-scale distributed systems with long-term impact. This is a fully remote opportunity within the continental United States with strong growth potential and meaningful technical challenges.

• Architect, deploy, and maintain large-scale Apache Kafka and Confluent Platform environments across cloud and on-premise infrastructures.
• Design scalable partitioning, replication, and topic management strategies to optimize throughput, durability, and operational efficiency.
• Implement and manage platform security using SASL, mTLS, ACLs, RBAC, and identity provider integrations.
• Operate and optimize ecosystem components such as Schema Registry, Kafka Connect, ksqlDB, and Kafka Streams for production-grade streaming workloads.
• Develop CI/CD and GitOps workflows for topic management, connectors, and infrastructure automation.
• Build high-availability and disaster recovery strategies including multi-region replication and failover patterns.
• Implement observability and monitoring solutions using tools such as Prometheus, Grafana, Datadog, and related platforms.
• Collaborate with application teams to define best practices, onboarding standards, and reusable streaming patterns.
• Lead incident response, troubleshooting, and post-incident reviews to improve operational resilience and platform reliability.
• Mentor engineers through technical reviews, knowledge sharing, and engineering best practices while maintaining detailed technical documentation.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of hands-on experience operating Apache Kafka or Confluent Platform in production environments.
• Deep understanding of Kafka internals including partitions, replication, ISRs, and consumer groups.
• Strong expertise in Kafka security practices including SASL, mTLS, ACLs, and RBAC.
• Experience with Kafka Connect, Schema Registry, Kafka Streams, or ksqlDB in enterprise environments.
• Strong scripting and automation skills using Python, Bash, or Go.
• Experience with Infrastructure as Code tools such as Terraform and Ansible.
• Knowledge of observability and monitoring solutions for distributed systems and streaming platforms.
• Familiarity with high availability, disaster recovery, and multi-region streaming architectures.
• Excellent troubleshooting, communication, and documentation abilities.
• Experience with Kubernetes-based Kafka deployments, managed streaming services, or stream processing frameworks such as Apache Flink is considered a plus.
• Relevant certifications related to Confluent or distributed streaming technologies are advantageous.

• 100% remote work opportunity across the continental United States.
• Competitive base salary aligned with experience and expertise.
• Full-time direct W2 employment with long-term project stability.
• Comprehensive healthcare coverage including medical, dental, and vision benefits.
• Opportunity to work on enterprise-scale streaming and cloud infrastructure initiatives.
• Career growth within a collaborative and innovation-focused engineering environment.
• Exposure to modern DevOps, SRE, and distributed systems practices.
• Supportive engineering culture emphasizing mentorship, technical excellence, and continuous learning.
• H1B transfer support available for qualified candidates already holding valid H1B status.