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