Kafka DevOps Engineer

Cb

  • San Francisco, California
  • 2 days ago
  • $50–$55 Per Hour

Highlights

Amazon Web Services (AWS) No 2-5 Years Is RequiredAmazon Web Services S3 (AWS S3) No 2-5 Years Is RequiredAmazon Web Services EKS (AWS EKS) No 2-5 Years Is RequiredApache Kafka No 2-5 Years Is RequiredArtificial Intelligence No At least 1 year Is RequiredAWS-EC2 No 2-5 Years Is RequiredGitHub No 2-5 Years Is RequiredKubernetes No 2-5 Years Is RequiredNoSQL No 5-10 Years Is Requiredpython No 5-10 Years Is Required Compensation: $50.00 - $55.00 per hour Ideal Candidate A self-driven engineer who can take ownership of complex platform challenges, build innovativeautomation and AI-driven solutions, communicate effectively with stakeholders, and operate withminimal supervision in a fast-paced production environment.

Numbers & Facts

LocationSan Francisco, California
Salary$50–$55 Per Hour

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, andTerraform.
  • 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-basedautomation 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 monitoringcloud/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 operationalworkflows.
  • 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 productionenvironments.
  • 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 anddeveloper productivity.
  • Drive operational excellence through automation, observability, reliability engineering, and proactiveissue resolution.Ideal CandidateA self-driven engineer who can take ownership of complex platform challenges, build innovativeautomation and AI-driven solutions, communicate effectively with stakeholders, and operate withminimal supervision in a fast-paced production environment.
Amazon Web Services (AWS) No 2-5 Years Is RequiredAmazon Web Services S3 (AWS S3) No 2-5 Years Is RequiredAmazon Web Services EKS (AWS EKS) No 2-5 Years Is RequiredApache Kafka No 2-5 Years Is RequiredArtificial Intelligence No At least 1 year Is RequiredAWS-EC2 No 2-5 Years Is RequiredGitHub No 2-5 Years Is RequiredKubernetes No 2-5 Years Is RequiredNoSQL No 5-10 Years Is Requiredpython No 5-10 Years Is Required
Compensation: $50.00 - $55.00 per hour

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