DevOps Engineer

• IQGeo is seeking a DevOps Engineer to play an integral role in supporting our global Engineering teams from our Cambridge, UK office. This role joins a dynamic team focused on building and maintaining tools and automation to streamline the software development lifecycle, reduce cognitive load for engineering teams, and improve release velocity
• Design, develop, and maintain CI/CD pipelines to automate software builds, testing, and releases
• Build and maintain internal tooling to support the software development lifecycle (e.g., code quality analysis, dependency management, automated testing)
• Collaborate with engineering teams to identify and automate manual processes, reducing cognitive load and improving efficiency
• Implement and maintain infrastructure as code (IaC) for internal development environments
• Work closely with development teams to troubleshoot and resolve issues related to build processes, testing, and deployments
• Coordinate penetration testing, code/virus scanning, and disseminate findings to the engineering team for resolution
• Measure performance and environment of applications with system and application log tools
• Work with Product Engineering to ensure technical alignment and best practice approaches are used
• Evaluate and implement new tools and technologies to improve developer experience and release velocity
• Use AI coding assistants to accelerate authoring of CI/CD pipeline configurations, IaC scripts, and automation tooling
• Apply 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

Benefits

• Flexible schedules
• Collaborative teams
• New and modern office facilities
• Remote work opportunities- Ability to critically evaluate AI-generated outputs for correctness, security, performance and maintainability
• Ability to translate business requirements into structured specifications prior to implementation (Spec-Driven Development)
• Experience using AI to generate and maintain automated unit, API and integration tests
• Proficient in AI-assisted software development using modern coding assistants to accelerate design, implementation, testing and documentation
• Strong prompt engineering skills for software engineering tasks including code generation, test generation, debugging, documentation and architecture
• Demonstrated ability to work with AI agents while retaining full engineering ownership and accountability
• Candidates must demonstrate the ability to work effectively in an AI-First Software Development Lifecycle
• Experience with containerisation and orchestration technologies including Docker and Kubernetes
• Experience with bug tracking tools and code repositories
• Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)
• Strong knowledge of Linux operating systems
• Experience using Git or other distributed version control systems
• Excellent organisational skills and attention to detail
• Fluent written and spoken English
• Proficient scripting skills (Python, BASH, JavaScript)
• Experience with cloud platforms (AWS, Azure, GCP)
• Proven ability to work independently and collaboratively in a distributed remote team environment
• Experience with infrastructure as code tools (e.g., Terraform)
• Excellent analytical and problem-solving skills
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
• Experience with configuration management tools (e.g., Ansible, Puppet, Chef)
• 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