DevOps Engineer

Company Overview:

Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.

Our Vision and Values:

We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:

• Excellence
• Responsibility
• Empowerment
• Connectivity
• Courage

Responsibilities:

• Familiarity with Linux distributions (e.g., Ubuntu, RHEL) and Windows Server 2022+.
• Familiarity with web servers, reverse proxy, load balancers, and firewall setup.
• Deep knowledge of containerization and virtualization.
• Knowledge of cloud (e.g., AWS, Azure, or GCP) is a plus.
• Define, govern, and evolve the enterprise technical stack (React, TypeScript, Python, NodeJS, .NET Core, SQL, MongoDB).
• Build and maintain CI/CD pipelines in Azure DevOps, enabling automated testing, deployments, and monitoring.
• Embed security into the SDLC through secure coding standards, vulnerability scanning, and DevSecOps practices.
• Collaborate with cybersecurity to address threat modeling, risk mitigation, and compliance requirements.
• Collaborates with software developers to optimize application performance and resource usage.
• Automate infrastructure provisioning and configuration management (Infrastructure-as-Code).
• Evaluate emerging technologies and propose adoption strategies to modernize legacy systems.
• Documents system architecture, processes, and automation scripts thoroughly.
• Ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's preferred).
• 3+ years of experience in software development, solution architecture, and DevSecOps engineering.
• Proven expertise in designing enterprise-scale systems and managing CI/CD pipelines.
• Strong knowledge of React, TypeScript, Python, NodeJS, .NET Core, SQL, MongoDB, and cloud platforms.
• Experience with containerization (Docker, Kubernetes), Infrastructure-as-Code, and monitoring tools.
• Solid understanding of security frameworks, OWASP, and vulnerability management practices.
• Hands-on understanding of AI/ML use cases, automation platforms and Agentic AI as part of your daily toolkit.