远程工作雷达

Kafka工程师

Kafka Engineer

开发工程限定地区(需当地身份)
公司Bright Vision Technologies
薪资$100,000 - $150,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Kafka 工程师 - 远程

Bright Vision Technologies 是一家技术咨询和软件开发公司,为美国各地提供云、AI、数据和企业解决方案。这是一个加入一家知名且受人尊敬的组织的绝佳机会,提供巨大的职业发展潜能。

职位名称:Kafka 工程师
地点:100% 远程(美国)
职位类型:全职,直接 W2
薪资范围:每年 10 万至 15 万美元
所需经验:10 年以上

签证支持:美国公民、绿卡持有者、EAD 持有者以及 H-1B 转移候选人欢迎申请。我们无法为该职位申请新的 H-1B 签证。

职位简介:
我们正在寻找一位经验丰富的 Kafka 工程师,负责设计、部署和运营大规模 Apache Kafka 和 Confluent 平台环境,以支持关键任务的事件驱动工作负载。在此职位中,您将全面负责 Kafka 平台,包括集群规划、配置、安全、自动化、可观测性以及开发者赋能。理想的候选人应具备深厚的 Kafka 内部知识,同时具备强大的 DevOps 和 SRE 实践能力,并与应用团队合作,交付可靠、高性能且对开发者友好的流处理平台。在此职位中,您将与跨职能合作伙伴(产品、设计、工程、运维和业务利益相关者)紧密合作,将模糊的需求转化为良好的工程解决方案,并通过代码审查、设计审查和对初级工程师的指导来提升标准。成功候选人应具备扎实的工程纪律、清晰的沟通风格以及在生产环境中表现良好的有意义工作的记录。

主要职责
· 在本地和云环境中设计、部署和运营大规模 Apache Kafka 或 Confluent 平台集群。

  • 设计分区、复制和主题策略,平衡吞吐量、持久性和操作简单性。
  • 使用 SASL、mTLS、ACL、RBAC 和与企业 IdP 集成,在 Kafka 集群上实现强安全性。
  • 在生产环境中运行 Schema Registry、Kafka Connect、KSQL/ksqlDB 和 Kafka Streams。
  • 构建和运营 Kafka Connect 管道,集成企业系统中的源和目标。
  • 设计 Kafka 的高可用性/灾难恢复策略,包括 MirrorMaker 2、集群链接和多区域主动-主动模式。
  • 构建 Kafka 主题、ACL 和配置的 CI/CD 管道。
查看英文原文

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: 10+ 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).

Required Qualifications
· 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.

Preferred Qualifications
· 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.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
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.
Originally posted on Himalayas

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