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Kafka Engineer Jobs in San Ramon, CA (NOW HIRING)

Eitacies Inc

Kafka DevOps Engineer

San Francisco, CA · On-site

$50 - $55/hr

Opportunity for advancement Required Qualifications * 8+ years of overall IT industry experience. * 5+ years of hands-on experience with Kafka or NoSQL technologies. * Strong programming skills in ...

EITACIES Inc.

Kafka DevOps Engineer

San Francisco, CA · On-site

$120 - $150/hr

Opportunity for advancement Required Qualifications * 8+ years of overall IT industry experience. * 5+ years of hands‑on experience with Kafka or NoSQL technologies. * Strong programming skills in ...

Eliassen Group

Senior Software Engineer

Concord, CA · On-site

$60 - $80/hr

The role supports the Kafka platform used by application teams. Experience supporting Flink ... Provide hands-on engineering and support for Kafka platforms, including incident response, root ...

New

Eliassen Group

Senior Software Engineer

Concord, CA · On-site

$60 - $80/hr

The role supports the Kafka platform used by application teams. Experience supporting Flink ... Provide hands-on engineering and support for Kafka platforms, including incident response, root ...

New

Sarian, Inc.

Senior DevOps Engineer

Sunnyvale, CA · On-site

$152K - $196K/yr

AWS, EKS, IAM, S3, Kubernetes, Kustomize, Flux, Crossplane, CRDs, Python, Github, Kafka, Linux, Trino Strong experience on DevOps - using AWS, EKS, IAM, S3, Kubernetes, Kustomize, Flux, Crossplane ...

Redolent, Inc.

Backend Engineer

San Bruno, CA · On-site

Looking for a Mid to Senior level JavaScript developer with expetise in JavaScript, NodeJS, Kafka, HTML and CSS. Having Adobe Analytics knowledge to instrument online experience is highly desired.

Formal

Solutions Engineer

San Francisco, CA · On-site

About the Role Formal is on a mission to build the best engineering team and we're looking for ... Comfort working across a variety of systems, APIs, and data protocols (e.g., Postgres, Kafka, MySQL ...

RZR Global Inc.

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our ... You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data ...

RZR Global Inc.

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our ... You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data ...

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All JobsKafka Engineer JobsKafka Engineer Jobs in San Ramon, CA

Kafka Engineer information

See San Ramon, CA salary details

$43.6K

$113.7K

$153.7K

How much do kafka engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for kafka engineer in San Ramon, CA is $113,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $130,200.00 per year, depending on experience, location, and employer.

What does a Kafka engineer do?

A Kafka Engineer specializes in designing, building, and maintaining distributed data streaming systems using Apache Kafka. They are responsible for configuring Kafka clusters, ensuring data reliability and scalability, and integrating Kafka with other systems. Kafka Engineers also monitor system performance, troubleshoot issues, and optimize data pipelines to support real-time data processing needs. Their work is essential for organizations that rely on high-throughput, low-latency data streaming for applications such as analytics, event sourcing, and microservices architectures.

What are the key skills and qualifications needed to thrive as a Kafka engineer, and why are they important?

To thrive as a Kafka Engineer, you need a strong understanding of distributed systems, proficiency in Apache Kafka, and experience with programming languages like Java or Python, often supported by a degree in computer science or a related field. Familiarity with tools such as Kafka Connect, Kafka Streams, monitoring systems (e.g., Prometheus, Grafana), and relevant certifications like Confluent Certified Developer for Apache Kafka are typically required. Problem-solving skills, effective communication, and the ability to work collaboratively make someone stand out in this position. These skills and qualities are crucial to ensure reliable data pipelines, seamless integration, and efficient troubleshooting in mission-critical, real-time data environments.

How does a Kafka engineer typically collaborate with development and operations teams?

Kafka Engineers play a key role in bridging the gap between development and operations teams. They work closely with developers to design and implement event-driven architectures using Kafka, ensuring data flows reliably between services. Simultaneously, they partner with operations teams to deploy, monitor, and maintain Kafka clusters, addressing issues like scalability, fault tolerance, and security. Effective communication and a strong understanding of both software development and infrastructure are essential for success in this collaborative environment.

What is the difference between Kafka Engineer vs Data Engineer?

AspectKafka EngineerData Engineer
Required CredentialsCertifications in Kafka, cloud platforms, programming languagesCertifications in data tools, cloud, SQL, programming
Work EnvironmentFocus on Kafka setup, streaming data, real-time processingBroader data pipeline, storage, and processing tasks
Employer & Industry UsageTech companies, data-driven organizations using KafkaVarious industries managing large data systems
Common Search & ComparisonOften compared for specialization in streaming dataBroader role encompassing multiple data technologies

The Kafka Engineer specializes in designing, implementing, and maintaining Kafka-based streaming data systems, focusing on real-time data processing. In contrast, Data Engineers work on building comprehensive data pipelines, integrating various data sources, and managing storage solutions. While Kafka Engineers focus on Kafka-specific tasks, Data Engineers handle a wider range of data tools and platforms, making their roles complementary but distinct in data infrastructure teams.

What are popular job titles related to Kafka Engineer jobs in San Ramon, CA?

For Kafka Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Kafka Engineer jobs in San Ramon, CA look for?

The top searched job categories for Kafka Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Kafka Engineer jobs?

Cities near San Ramon, CA with the most Kafka Engineer job openings:

Kafka Engineer jobs near you

Kafka DevOps Engineer

San Francisco, CA • On-site

Eitacies Inc
IT Services • 11 - 50 employees
Learn more about Eitacies Incexternal

$50 - $55/hr

Full-time

Medical

This job post has expired today. Applications are no longer accepted.

Job description

Benefits:
  • Company parties
  • Health insurance
  • Opportunity for advancement

Required Qualifications
• 8+ years of overall IT industry experience.
• 5+ years of hands-on experience with Kafka or NoSQL technologies.
• Strong programming skills in Python and/or Java, with a focus on automation and tooling.
• Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Git, CloudFormation, and
Terraform.
• Experience with at least one cloud platform: AWS, Azure, or Kubernetes-based environments.
• Experience building AI-powered solutions, MCP Servers, Agentic AI systems, or GenAI-based
automation tools.
• Strong Linux/Unix administration and troubleshooting experience.
• Excellent analytical, debugging, problem-solving, verbal, and written communication skills.
Preferred Qualifications

• Experience with DevOps and Site Reliability Engineering (SRE) practices.
• Strong production support, incident management, issue triaging, and root cause analysis experience.
• Experience with Docker and Kubernetes administration, deployment, and performance tuning.
• Knowledge of security best practices, vulnerability management, CVE analysis, and monitoring
cloud/system/device logs.
• Experience designing self-service platforms and operational automation solutions.
Key Responsibilities

• Build, manage, and support Kafka and NoSQL platforms in production environments.
• Design, implement, and maintain scalable platform architectures and deployment solutions.
• Develop and maintain automation tools for infrastructure provisioning, monitoring, and operational
workflows.
• Integrate AI/GenAI capabilities into operational tools and platform management processes.
• Design and implement CI/CD pipelines and Infrastructure as Code solutions.
• Execute and manage code deployments across development, testing, staging, and production
environments.
• Troubleshoot and resolve platform, infrastructure, and application issues across all environments.
• Monitor system performance, reliability, availability, and security, and drive continuous improvements.
• Collaborate with development, operations, and architecture teams to improve platform efficiency and
developer productivity.
• Drive operational excellence through automation, observability, reliability engineering, and proactive
issue resolution.
Ideal Candidate

A self-driven engineer who can take ownership of complex platform challenges, build innovative
automation and AI-driven solutions, communicate effectively with stakeholders, and operate with
minimal supervision in a fast-paced production environment.
Amazon Web Services (AWS) No 2-5 Years Is Required
Amazon Web Services S3 (AWS S3) No 2-5 Years Is Required
Amazon Web Services EKS (AWS EKS) No 2-5 Years Is Required
Apache Kafka No 2-5 Years Is Required
Artificial Intelligence No At least 1 year Is Required
AWS-EC2 No 2-5 Years Is Required
GitHub No 2-5 Years Is Required
Kubernetes No 2-5 Years Is Required
NoSQL No 5-10 Years Is Required
python No 5-10 Years Is Required