Senior DevOps Engineer

Job Title: Senior Dev Ops Engineer

Job Type: Contract – Remote

Location: South Africa

Reports To: CTO

We are seeking a highly motivated and experienced Azure Dev Ops engineer to join our customers growing team. In this role, you will be a strategic setter and enforcer of Dev Ops quality standards across teams in a project-based, fast-growth business. You will work closely with cross-functional teams including development, product and data teams who use AI to solve complex problems.

• Design, implement, and maintain CI/CD pipelines to automate software delivery, from code commit to production deployment.
• Collaborate closely with Data Science teams to ensure smooth integration of new features and efficient troubleshooting.
• Drive code quality initiatives through effective code review processes, static code analysis, and automated testing strategies.
• Implement and manage infrastructure as code (IaC) solutions to ensure consistency and repeatability across environments.
• Monitor system performance and reliability
  , proactively identifying and resolving issues to minimize downtime.
• Champion Dev Ops best practices within the organization, fostering a culture of continuous improvement, automation, and collaboration.
• Contribute to the design and architecture of scalable and resilient systems, with a particular focus on supporting our evolving AI initiatives.
• Participate in on-call rotations (as needed) to support critical systems.

• Proven experience as a Dev Ops Engineer with a strong understanding of core Dev Ops principles and methodologies.
• Solid background in software development (e.g., Python, Java, Go, etc.) with hands-on experience in building and deploying applications.
• Experience with CI/CD tools and platforms (e.g., Jenkins, Git Hub).
• Proficiency in version control systems
  , particularly Git, and experience with pull requests and branching strategies.
• Strong understanding of quality assurance principles and experience integrating automated testing into CI/CD pipelines.
• Demonstrable experience with code review processes and a commitment to maintaining high code quality standards.
• Experience with containerisation technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Exceptional communication and collaboration skills
  , with the ability to work effectively across diverse teams.
• A proactive, adaptable, and flexible mindset
  , eager to contribute in a fast-paced, growth-oriented environment. Contributing to the further learning for the whole team, e.g. Knowledge Transfer.

A strong interest in Artificial Intelligence and a desire to work on cutting-edge AI-powered solutions.

• Flexible work hours and remote work options.
• Opportunities for professional growth and development.
• A collaborative and inclusive team culture.