[Remote] Streaming Data Engineer

Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The company is seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent environments, owning the platform’s sizing, configuration, security, automation, observability, and developer enablement. The role also partners with application and cross-functional teams to deliver reliable streaming solutions and mentors junior engineers.

Responsibilities

• Architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads
• Own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement
• Partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform
• Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions
• Raise the bar through code review, design review, and mentorship of more junior engineers

Skills

• 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
• 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

Benefits

• 100% Remote (U.S.)
• Full-time, Direct W2
• Tremendous career growth potential

Company Overview