Streaming Data Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. They are seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments, supporting mission-critical event-driven workloads.

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)

Requirements:

• 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