Kafka Platform Engineer

BV Teck; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Bright Vision Technologies, a technology consulting and software development firm, is seeking a Kafka Platform Engineer with 10+ years of distributed systems experience to architect, deploy, and manage enterprise-scale streaming platforms using Apache Kafka and Confluent Platform. Remote US-based role with leadership in security, governance, and platform automation.

You will design topology, implement security, build CI/CD for streaming pipelines, and mentor engineers while collaborating with

Qualifications

• 10+ years of professional experience in distributed systems, platform engineering, or infrastructure engineering
• 5+ years hands-on Apache Kafka or Confluent Platform experience
• Deep knowledge of Kafka internals (partitions, replication, ISR, consumer groups) and performance tuning
• Experience implementing enterprise security (SASL, SSL/mTLS, ACLs, RBAC)
• Hands-on with Kafka Connect, Schema Registry, Kafka Streams, ksqlDB, and real-time streaming architectures
• IaC experience with Terraform/Ansible and cloud-native tooling

Responsibilities

• Architect, deploy, and manage Apache Kafka and Confluent Platform environments for enterprise-scale streaming
• Design cluster topology, deployment, and performance optimization for high-throughput workloads
• Implement enterprise security and access controls across platforms
• Design and manage Kafka Connect, Schema Registry, Kafka Streams, and ksqlDB pipelines
• Develop and maintain IaC for Kafka infrastructure using Terraform/Ansible
• Design HA, DR, backup, and cross-region replication strategies
• Build monitoring/observability using Prometheus, Grafana, OpenTelemetry, and ELK
• Troubleshoot production issues and drive long-term platform improvements
• Support Kafka deployments on Kubernetes using Strimzi or Confluent Operator and managed services
• Collaborate with developers/architects to establish event-driven standards and governance
• Mentor engineers on Kafka development and operations

Skills

Leadership

Communication

Troubleshooting

Documentation

Stakeholder management

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Apache Kafka

Confluent Platform

Terraform

Ansible

Prometheus

Grafana

OpenTelemetry

ELK

Kubernetes

AWS MSK

Azure Event Hubs (Kafka API)

Job description

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

Location: 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.

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.