Kafka Platform Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title:

Kafka Platform Engineer L

ocation:

100% Remote (U.S.)

Position Type:

Full-time, Direct W2 Salary Range:

$130,000–$180,000 Annually

(based on experience) Experience Required:

10+ Years Sponsorship:

U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary

Bright Vision Technologies is seeking a highly experienced

Kafka Platform Engineer

with

10+ years of experience

in distributed systems, event streaming, and platform engineering, including extensive expertise with

Apache Kafka

and the

Confluent Platform . The ideal candidate will architect, deploy, and manage enterprise-scale streaming platforms that power mission-critical, real-time data processing across the organization. This role requires deep technical expertise in Kafka internals, platform automation, security, observability, and cloud-native infrastructure, along with the ability to mentor engineering teams and define enterprise event-streaming standards. Key Responsibilities

Architect, deploy, and manage highly available

Apache Kafka

and

Confluent Platform

environments supporting enterprise-scale event-driven applications. Design Kafka cluster topology, broker configuration, partitioning strategies, replication, capacity planning, and performance optimization for high-throughput workloads. Implement enterprise-grade security using

SASL, SSL/mTLS, ACLs, RBAC , encryption, and authentication mechanisms. Design and manage

Kafka Connect ,

Schema Registry ,

Kafka Streams ,

ksqlDB , and event streaming pipelines for real-time data integration. Develop and maintain Infrastructure as Code using

Terraform ,

Ansible , or similar automation frameworks to provision and manage Kafka infrastructure. Design and implement High Availability (HA), Disaster Recovery (DR), backup, failover, and cross-region replication strategies. Build comprehensive monitoring, alerting, logging, and observability solutions using

Prometheus, Grafana, OpenTelemetry, ELK , and Confluent monitoring tools. Optimize cluster performance, troubleshoot production issues, conduct root cause analysis, and implement long-term platform improvements. Support Kafka deployments on

Kubernetes

using

Strimzi ,

Confluent Operator , or managed cloud services including

AWS MSK ,

Azure Event Hubs (Kafka API) , and

Confluent Cloud . Collaborate with application developers, data engineers, DevOps, SRE, and enterprise architects to establish event-driven architecture standards and best practices. Conduct architecture reviews, establish platform governance, perform code reviews, and mentor engineers on Kafka development and operations. Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related technical discipline. 10+ years of professional experience

in distributed systems, platform engineering, or infrastructure engineering, including

5+ years of hands-on Apache Kafka or Confluent Platform experience . Expert-level knowledge of

Kafka internals , including partitions, replication, brokers, ISR, consumer groups, offset management, and performance tuning. Extensive experience implementing Kafka security using

SASL, SSL/mTLS, ACLs, RBAC , and enterprise authentication mechanisms. Strong hands-on experience with

Kafka Connect ,

Schema Registry ,

Kafka Streams ,

ksqlDB , and real-time event streaming architectures. Experience implementing

High Availability (HA) ,

Disaster Recovery (DR) , multi-cluster replication, and cross-region failover strategies. Advanced scripting skills using

Python ,

Bash , or

Go , along with Infrastructure as Code experience using

Terraform ,

Ansible , or similar tools. Strong experience with observability platforms including

Prometheus ,

Grafana ,

OpenTelemetry ,

ELK , and distributed tracing solutions. Excellent troubleshooting, communication, documentation, stakeholder management, and technical leadership skills. Preferred Qualifications

Confluent Certified Administrator

or

Confluent Certified Developer

certification. Experience operating Kafka on

Kubernetes

using

Strimzi ,

Confluent Operator , or similar operators. Hands-on experience with managed Kafka services including

AWS MSK ,

Confluent Cloud ,

Azure Event Hubs (Kafka API) , or

Google Cloud Managed Kafka . Experience with stream processing technologies such as

Apache Flink ,

Apache Spark Structured Streaming , or

Apache Beam . Knowledge of

data governance , schema evolution, metadata management, and data lineage for streaming platforms.

How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at . Learn more about Bright Vision Technologies at Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.