Kafka Engineer

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations using cutting‑edge technologies.

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.

Kafka Engineer

100% Remote (Continental United States)

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

5+ years

100K - 150K

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

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

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

Competitive base salary commensurate with experience, plus benefits.

• This role is 100% remote, full‑time, direct W2 with Bright Vision Technologies.
• Part of Bright Vision Technologies’ in‑house SOW engagement. No third‑party client, vendor, or implementation partner involved.
• We do not engage in C2C, 1099, or third‑party arrangements.
• All roles are W2; no 3rd party brokerage.
• Full‑time W2 employees of Bright Vision Technologies are required.
• No new H1B sponsorship. H1B transfers are welcomed for qualified candidates.
• Technical coding assessment is mandatory.

We seek an experienced Kafka Engineer to architect, deploy, and operate large‑scale Apache Kafka and Confluent platform environments for mission‑critical event‑driven workloads. You will own the Kafka platform end‑to‑end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The successful candidate will partner with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well‑engineered solutions, raise the bar through code and design reviews, and mentor junior engineers.

• 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 Mirror Maker 2, Cluster Linking, and multi‑region active‑active patterns.
• Build CI/CD pipelines for Kafka topic, ACL, and connector configurations using Git Ops 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, ensuring durable, documented outcomes aligned with team and platform standards.
• Mentor and coach junior and mid‑level engineers through code review, design review, pair programming, and structured knowledge sharing.
• Maintain comprehensive, current technical documentation—architecture diagrams, design decisions, configuration references, runbooks, and operational procedures.
• Continuously evaluate emerging streaming technologies (Pulsar, Redpanda, AWS MSK, Azure Event Hubs).

• 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…