Kafka DevOps Engineer

Benefits:Company partiesHealth insuranceOpportunity for advancementRequired 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