Site Reliability Engineer (SRE)

We are seeking a hands-on SRE Engineer with expertise in Apache Spark, Kubernetes, CI/CD pipelines, Python, PL/SQL, and containerization to design, develop, and maintain real-time data processing and infrastructure. The ideal candidate will combine development skills with operational expertise to ensure high availability, scalability, and reliability of applications and infrastructure.

Roles and Responsibilities

• Provide technical leadership and guidance to engineering teams, participating in key technical decisions.
• Design, develop, and maintain real-time data pipelines and Data Lakehouse infrastructure.
• Write Python scripts for automation and small functionality development.
• Write SQL queries and procedures for data processing.
• Build and maintain CI/CD pipelines using Jenkins and related tools.
• Manage applications in Kubernetes environments, including deployment, configuration, access control, and troubleshooting.
• Develop and maintain Kubernetes manifests, Helm charts, and deployment artifacts.
• Manage Docker containers, including image management in private registries.
• Maintain Apache Spark clusters and related workflows.
• Develop and maintain Ansible playbooks for infrastructure configuration and management.
• Implement Infrastructure as Code (IaC) and collaborate with teams to ensure consistent infrastructure management.
• Monitor services and infrastructure using observability tools for capacity management and performance tuning.
• Drive initiatives to containerize standalone applications and migrate them to Kubernetes.
• Mentor and guide other engineers in development, testing, and deployment practices.

Technical Skills

• Programming & Scripting: Python, PL/SQL
• Data & Processing: Apache Spark, SQL
• CI/CD & Automation: Jenkins, Ansible, CI/CD pipelines
• Containerization & Orchestration: Docker, Kubernetes (EKS/ECS experience a plus)
• Infrastructure & Deployment: Helm charts, IaC
• Monitoring & Observability: Dynatrace or similar monitoring/tracing tools
• Data Platforms: Dremio experience is a plus

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