Kafka DevOps Engineer

Knowledge of security best practices, vulnerability management, CVE analysis, and monitoring cloud/system/device logs. • Experience building AI-powered solutions, MCP Servers, Agentic AI systems, or GenAI-based automation tools.

Request ID: 94846-1
Title: Kafka DevOps Engineer
Locations: Onsite: Sunnyvale, CA
Duration: 6+ Months with Possible Extension.
Pay Range: $50 -$52/Hour on W2/C2C (All inclusive)

Job Description:
Skills: Kafka
Experience Required: 8-10
Applications must have LinkedIn id attached with the resume

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.





Company Benefits & Culture

• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits

Appreciate your quick response and please feel free to reach me out for any query you may have.

Thanks