Senior DevOps / SRE Engineer

We are looking for a DevOps / Site Reliability Engineer to help design, automate, and maintain scalable cloud infrastructure and applications. The role focuses on automation, reliability, observability, and CI/CD pipelines, primarily within an Azure cloud environment.

You will work closely with engineering teams to improve platform reliability, reduce operational toil, and build efficient automation frameworks that support modern cloud-native applications.

Key Responsibilities

• Design and develop automation tools and applications using Python
• Build and enhance the cloud automation framework, starting with Azure infrastructure
• Integrate automation processes into CI/CD pipelines (GitHub Actions, Jenkins)
• Develop proof-of-concepts (POCs) to test and introduce new technologies or solutions
• Troubleshoot and resolve production issues across cloud and on-premise environments
• Participate in the full Software Development Life Cycle (SDLC): analysis, design, development, testing, and deployment
• Evaluate and implement new DevOps tools and best practices
• Implement observability and monitoring solutions for cloud platforms
• Improve system efficiency by automating manual tasks and reducing operational toil

Required Skills

• Strong Python development experience
• Hands-on experience with Infrastructure as Code (Terraform, Ansible)
• Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins)
• Solid understanding of object-oriented programming and software development principles
• Strong experience working in Linux/Unix environments
• Experience with NoSQL databases, including data modeling and performance tuning
• Ability to write clean, reusable, well-documented, and maintainable code
• Experience implementing observability tools such as Prometheus, Grafana, or OpenTelemetry

Technology Stack

Cloud: Azure

Programming: Python

Infrastructure as Code: Terraform, Ansible

CI/CD: GitHub Actions, Jenkins

Observability: Prometheus, Grafana, OpenTelemetry

Systems: Linux

Databases: NoSQL

Key Focus Areas

• Cloud automation
• Platform reliability
• CI/CD pipelines
• Observability and monitoring