Kafka DevOps Engineer

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