Own and operate large-scale Kafka/Confluent platforms across cloud and on‑prem: architect clusters, security, HA/DR, observability, CI/CD, and developer enablement. Build and run Connect pipelines, Schema Registry, Streams/ksqlDB, and automation via IaC. Lead incident response, mentor engineers, document runbooks and designs, and evaluate emerging streaming technologies to improve reliability, performance, and cost-efficiency.
Kafka Engineer - Remote
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.
Job Title: Kafka Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an experienced Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role 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. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Key Responsibilities
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com
Bright Vision Technologies is an Equal Opportunity Employer.
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.
Job Title: Kafka Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an experienced Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role 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. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Key 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).
- 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.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com
Bright Vision Technologies is an Equal Opportunity Employer.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead design and delivery of enterprise-grade integrations between Samsara and customer systems. Own architecture, implementation, mentorship, cross-functional coordination, troubleshooting, automation, and customer-facing technical enablement for complex B2B integrations.
Top Skills:
AWSAzureCodexConfluenceCursorGCPGitGleanJIRAKafkaMcpsNoSQLPower BIPubsubPythonRest ApisSQLTableauWebhooks
eCommerce • Fashion • Retail • Sales • Wearables • Design
Lead daily store operations to drive sales, profitability, and exceptional customer service. Recruit, coach, and develop a high-performing team; manage inventory, payroll, loss prevention, visual merchandising, scheduling, and local business plans. Serve as brand ambassador and ensure inclusive, results-driven store culture.
Top Skills:
Inventory Management SystemsLabor Management SystemsMS OfficeSales Reporting ToolsSocial Media
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Design, automate, and operate resilient, self-healing database platforms across cloud and on-prem environments. Build Kubernetes operators and IaC (Terraform/Pulumi), use Go or Python for automation, optimize performance/cost, partner with app teams on schema/migrations, and leverage AI for observability and operational efficiency.
Top Skills:
AerospikeArgocdAurora MysqlClaudeCursorEksFluxcdGithub CopilotGitopsGkeGoKubernetesKubernetes OperatorsManaged Cloud DatabasesMcpMongoDBMySQLPersistent VolumesPostgresPulumiPythonRedisScylladbStatefulsetsTerraform
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
