Devops Engineer

RApply AI-assisted security scanning (SAST) as an automated merge gate across engineering pipelines.

• Support delivery teams and partners to reduce the complexity of implementing IQGeo solutions.
• Participate in an on-call rotation.

Mandatory AI Engineering Competencies

Candidates must demonstrate the ability to work effectively in an AI-First Software Development Lifecycle.

• Proficient in AI-assisted software development using modern coding assistants to accelerate design, implementation, testing and documentation.
• Ability to translate business requirements into structured specifications prior to implementation (Spec-Driven Development).
• Strong prompt engineering skills for software engineering tasks including code generation, test generation, debugging, documentation and architecture.
• Ability to critically evaluate AI-generated outputs for correctness, security, performance and maintainability.
• Experience using AI to generate and maintain automated unit, API and integration tests.
• Demonstrated ability to work with AI agents while retaining full engineering ownership and accountability.

Essential Qualifications & Experience

You must have all of the following:

• Proficient scripting skills (Python, BASH, JavaScript).
• Strong knowledge of Linux operating systems.
• Experience with containerisation and orchestration technologies including Docker and Kubernetes.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with CI/CD tools (e.g., Jenkins, GitHub Actions).
• Experience with infrastructure as code tools (e.g., Terraform).
• Experience using Git or other distributed version control systems.
• Experience with bug tracking tools and code repositories.
• Excellent organisational skills and attention to detail.
• Excellent analytical and problem-solving skills.
• Proven ability to work independently and collaboratively in a distributed remote team environment.
• Fluent written and spoken English.

Desired Qualifications & Experience

Ideally, you'll have some of the following:

• Experience with configuration management tools (e.g., Ansible, Puppet, Chef).
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Experience with code quality analysis tools (e.g., SonarQube, Snyk).
• Experience with dependency management tools (e.g., Maven, Gradle, npm, pip).
• Experience with automated testing frameworks.
• Experience with Node.js design and development.
• Experience working in an Agile software engineering environment.

Education

Degree from an accredited university in Computer Science, Engineering, or a related field; or equivalent industry experience.ole & responsibilities

Preferred candidate profile