[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 Streaming Data Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent environments, owning platform sizing, configuration, security, automation, observability, and developer enablement while partnering with application teams and mentoring 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.)
- Tremendous career growth potential
Company Overview