Kafka Engineer

Bright Vision Technologies

Port Reading (NJ)

Remote

USD 100,000 - 150,000

Full time

3 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Bright Vision Technologies is seeking an experienced Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement.

The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five+ years of experience operating Apache Kafka or Confluent Platform in production.
  • Deep knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
  • Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).
  • Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
  • Experience with HA/DR strategies for Kafka.
  • Strong scripting skills in Python, Bash, or Go.
  • Hands-on experience with infrastructure-as-code (Terraform, Ansible).
  • Working knowledge of observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.

Responsibilities

  • Architect, deploy, and operate large-scale Apache Kafka or Confluent Platform clusters across on‑prem and cloud environments.
  • Design partitioning, replication, and topic strategies that balance throughput, durability, and operational simplicity.
  • Implement strong security on Kafka clusters using SASL, mTLS, ACLs, RBAC, and integration with corporate IdPs.
  • Operate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in production.
  • Build and operate Kafka Connect pipelines integrating sources and sinks across enterprise systems.
  • Design HA/DR strategies for Kafka, including MirrorMaker 2, Cluster Linking, and multi-region active‑active patterns.
  • Build CI/CD pipelines for Kafka topic, ACL, and connector configurations using GitOps patterns.
  • Implement comprehensive observability using Prometheus, Grafana, Datadog, or Confluent Control Center.
  • Drive Kafka cost and capacity optimization through right-sizing and storage tiering.
  • Onboard application teams to Kafka with patterns, templates, and best practices.
  • Lead incident response and post-incident reviews for streaming workloads with durable outcomes.
  • Mentor and coach junior engineers through code reviews and design reviews.
  • Maintain comprehensive technical documentation for architecture, runbooks, and procedures.
  • Continuously evaluate emerging streaming technologies (Pulsar, Redpanda, AWS MSK, Azure Event Hubs).

Skills

Kafka
Distributed systems
SRE practices
DevOps collaboration
Troubleshooting

Education

Bachelor’s degree in Computer Science or related field

Tools

Kafka Connect
Schema Registry
KSQL/ksqlDB
Terraform
Ansible
Strimzi
Confluent Platform

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

As we continue to grow, we’re looking for a skilled Kafka Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Kafka Engineer
Job Title

Kakfa Engineer

Location

100% Remote (Continental United States)

Position Type

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)

Salary

Salary: $100K - $150K / Annum

Experience

5+ years

Sponsorship

No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.

Employment Type

Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)

Engagement

Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap

Compensation

Competitive base salary commensurate with experience, plus benefits.

Employment Terms & Visa Policy

This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.

This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.

We do not engage in C2C, 1099, or third-party arrangements for this role.

BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.

Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.

No new H1B sponsorship is available for this role.

However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.

For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.

Job Summary

We are seeking an experienced Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Key Responsibilities
  • Architect, deploy, and operate large-scale Apache Kafka or Confluent Platform clusters across on-prem and cloud environments.
  • Design partitioning, replication, and topic strategies that balance throughput, durability, and operational simplicity.
  • Implement strong security on Kafka clusters using SASL, mTLS, ACLs, RBAC, and integration with corporate IdPs.
  • Operate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in production.
  • Build and operate Kafka Connect pipelines integrating sources and sinks across enterprise systems.
  • Design HA/DR strategies for Kafka, including MirrorMaker 2, Cluster Linking, and multi-region active-active patterns.
  • Build CI/CD pipelines for Kafka topic, ACL, and connector configurations using GitOps patterns.
  • Implement comprehensive observability using Prometheus, Grafana, Datadog, or Confluent Control Center.
  • Drive Kafka cost and capacity optimization through right-sizing and storage tiering.
  • Onboard application teams to Kafka with clear patterns, templates, and best practices.
  • Lead incident response and post-incident reviews for streaming workloads, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards.
  • Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time.
  • Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
  • Continuously evaluate emerging streaming technologies (Pulsar, Redpanda, AWS MSK, Azure Event Hubs).
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of experience operating Apache Kafka or Confluent Platform in production.
  • Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
  • Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).
  • Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
  • Experience with HA/DR strategies for Kafka.
  • Strong scripting skills in Python, Bash, or Go.
  • Hands-on experience with infrastructure-as-code (Terraform, Ansible).
  • Working knowledge of observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.
Preferred Qualifications
  • Confluent Certified Administrator or Developer credentials.
  • Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).
  • Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API).
  • Familiarity with stream processing frameworks (Flink, Spark Streaming).
  • Experience with data governance and lineage for streaming data.

We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.

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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Kafka Platform Engineer
Kafka Platform Engineer

Bright Vision Technologies • Franklin (TN), Brentwood (TN), Nashville (TN)

Remote
USD 130,000 - 180,000
Kafka Engineer
Kafka Engineer

Bright Vision Technologies • Naperville (IL)

Remote
USD 82,000 - 100,000
Apache Kafka Developer
Apache Kafka Developer

Bright Vision Technologies • South Jordan (UT), Draper (UT)

Remote
USD 100,000 - 150,000
Apache Kafka Developer
Apache Kafka Developer

Bright Vision Technologies • United States

Remote
USD 100,000 - 150,000
Real-Time Data Engineer
Real-Time Data Engineer

Bright Vision Technologies • Wildwood (MO)

Remote
USD 135,000 - 160,000
Senior Streaming Data Engineer - Remote & Kafka Mastery
Senior Streaming Data Engineer - Remote & Kafka Mastery

Bright Vision Technologies • Yuba City (CA)

Remote
USD 78,000 - 105,000
Streaming Data Engineer
Streaming Data Engineer

Bright Vision Technologies • Yuba City (CA)

Remote
USD 78,000 - 105,000
Backend Systems Engineer
Backend Systems Engineer

Bright Vision Technologies • Wildwood (MO)

Remote
USD 100,000 - 150,000
Hadoop Solutions Developer
Hadoop Solutions Developer

Bright Vision Technologies • Woodbury (MN)

Remote
USD 100,000 - 150,000
Backend Systems Engineer
Backend Systems Engineer

Bright Vision Technologies • United States

Remote
USD 100,000 - 150,000