Senior Kafka Engineer - R01563584

Brillio • Jersey City, NJ

1d

About The Position

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Senior Kafka Engineer

Requirements

• 8+ years of software engineering experience with strong Kafka expertise in production environments.
• Proven experience building high performance Kafka producers/consumers in Go and/or Java.
• Strong working knowledge of Kafka internals and operational concepts: partitions, replication, ISR, leader election, consumer group protocol, offsets.
• Hands on experience with advanced Kafka configurations, including custom partitioners, idempotent producer settings, and consumer group tuning.
• Hands on experience with librdkafka, including configuration tuning and troubleshooting for low-latency/high-throughput systems.
• Strong debugging and performance analysis skills across distributed systems (networking, CPU, memory, GC, backpressure).
• Experience collaborating across cross functional teams and working in Agile delivery models.

Nice To Haves

• Experience with Kafka ecosystem components (Schema Registry, Kafka Connect, MirrorMaker, ksqlDB) is a plus.
• Experience with security and compliance in Kafka environments (TLS, SASL/SCRAM, ACLs, RBAC, secrets management).
• Familiarity with containerized or cloud deployments of Kafka (Kubernetes operators, managed Kafka services).
• Experience with open-source contribution workflows (PRs, reviews, issues, releases, semantic versioning).
• Experience building reusable internal SDKs or developer platforms for event streaming.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees