Kafka Platform Engineer

Bright Vision Technologies; Carmel (IN); Remote; USD 130,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking a highly experienced Kafka Platform Engineer with 10+ years in distributed systems, event streaming, and platform engineering, including Apache Kafka and the Confluent Platform. The ideal candidate will architect, deploy, and manage enterprise-scale streaming platforms powering real-time data processing across the organization.

This role requires deep expertise in Kafka internals, platform automation, security, observability, and cloud-native infrastructure,

Qualifications

• Bachelor's or Master's degree in a technical field.
• 10+ years of professional experience in distributed systems or platform engineering.
• 5+ years hands-on Apache Kafka or Confluent Platform experience.
• Deep knowledge of Kafka internals, partitions, replication, and offsets.
• Experience with Kafka security: SASL, SSL/mTLS, ACLs, RBAC.
• Hands-on with Kafka Connect, Schema Registry, Kafka Streams, ksqlDB.
• Experience with HA, DR, multi-cluster replication and cross-region failover.
• Scripting in Python/Bash/Go; IaC with Terraform/Ansible.
• Observability with Prometheus, Grafana, OpenTelemetry, ELK.
• Excellent troubleshooting, communication, and leadership.

Responsibilities

• Architect, deploy, and manage Kafka/Confluent environments for enterprise-scale streaming.
• Design topology, configure brokers, partitions, replication, and capacity planning.
• Implement enterprise security and authentication mechanisms.
• Design and manage Kafka Connect, Schema Registry, Kafka Streams, and ksqlDB pipelines.
• Develop Infrastructure as Code using Terraform/Ansible for provisioning Kafka infra.
• Implement HA, DR, backup, and cross-region replication strategies.
• Build monitoring/observability with Prometheus, Grafana, OpenTelemetry, ELK tools.
• Collaborate with developers, data engineers, DevOps, SRE, and architects to set standards.
• Mentor engineers on Kafka development and operations.

Skills

Kafka expertise

Distributed systems

Platform automation

Security & authentication

Observability

Mentoring/leadership

Communication skills

Education

Bachelor's degree

Master's degree

Tools

Apache Kafka

Confluent Platform

Kubernetes

Strimzi/Confluent Operator

Terraform

Ansible

AWS MSK

Azure Event Hubs (Kafka API)

Confluent Cloud

Kafka Connect

Schema Registry

Kafka Streams

ksqlDB

Prometheus

Grafana

OpenTelemetry

ELK

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.