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Kafka Engineer

Remote / Online - Candidates ideally in
Woodbridge Township, Middlesex County, New Jersey, 07064, USA
Listing for: Bright Vision Technologies
Full Time, Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • Software Development
    Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

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 Dev Ops 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…
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