Description review
Kafka Platform Engineer
Bright Vision Technologies · United States · back to the listing
HR standards
43/100
poor
Title ↔ description
90/100
strong
Reads as
DevOps Engineer
84% confident
What this role officially is
ICT system administrator — ESCO, the EU occupation classification
ICT system administrators are responsible for the upkeep, configuration, and reliable operation of computer and network systems, servers, workstations and peripheral devices. They may acquire, install, or upgrade computer components and software; automate routine tasks; write computer programs; troubleshoot; train and supervise staff; and provide technical support. They ensure optimum system integrity, security, backup and performance.
Also known as: enterprise administrator, IT system administrator, ICT systems administrator, ICT sysadmins, IT systems administrator, ICT sysadmin
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What the listing never says
- 25 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
The listing, marked up
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+ Years1
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+ years2 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+ years3 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 (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
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.
Originally posted on Himalayas
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+ Years1
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+ years2 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+ years3 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 (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
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.
Originally posted on Himalayas