Kafka DevOps Engineer
About The Position
We are seeking a highly motivated and experienced Kafka DevOps Engineer to join our team. The ideal candidate will be responsible for building, managing, and supporting Kafka and NoSQL platforms in production environments. This role involves designing and implementing scalable platform architectures, developing automation tools, integrating AI/GenAI capabilities, and ensuring the reliability, availability, and security of our systems. You will collaborate with cross-functional teams to drive operational excellence and improve developer productivity in a fast-paced production environment.
Requirements
- 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.
- 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
Nice To Haves
- 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.
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.
Benefits
- Company parties
- Health insurance
- Opportunity for advancement
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
