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About the Role
We are seeking an experienced Real-time Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting 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 ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform.
Responsibilities
- Architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments.
- 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 to translate ambiguous requirements into well-engineered solutions.
- Raise the bar through code review, design review, and mentorship of more junior engineers.
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 (Preferred).
- Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator) (Preferred).
- Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API) (Preferred).
- Familiarity with stream processing frameworks (Flink, Spark Streaming) (Preferred).
- Experience with data governance and lineage for streaming data (Preferred).
Skills
- Apache Kafka
- Confluent Platform
- DevOps
- SRE
- Python
- Bash
- Go
- Terraform
- Ansible
- Observability tooling
Location
- 100% Remote (U.S.)
Work Type
- Full-time
- Direct W2
Experience Level
- 6+ years
Education Level
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline
Salary/Compensations
- $135,000–$160,000 Annually
About the Company
- Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
- This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Equal Opportunity
- Bright Vision Technologies is an Equal Opportunity Employer.
- Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.
- This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
- BV Teck expressly prohibits any form of workplace harassment or discrimination.
- Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.