DevOps Engineer

ABOUT THE ROLE

As a DevOps Engineer at Asite, you will design and implement our cloud infrastructure, CI/CD pipelines, and monitoring and alerting systems. You will work closely with our development team to ensure that software is deployed efficiently, securely, and with high quality, leveraging modern automation and AI-assisted tooling wherever it improves speed and reliability, and you will collaborate closely with the Asite Platform Operations team.

You will have the opportunity to work on cutting-edge technology and make a real impact on the construction industry, joining an engineering organisation that values automation, reliability, and continuous improvement.

KEY RESPONSIBILITIES

• –Design, implement, and maintain our cloud infrastructure on Azure using Infrastructure as Code (Terraform/Bicep).
• –Implement and manage CI/CD pipelines using Jenkins, Azure DevOps and GitHub Actions.
• –Develop and maintain monitoring, logging, and alerting systems using the ELK/Elastic stack and the Grafana/Loki/Prometheus stack.
• –Build observability using modern standards (e.g. OpenTelemetry) for distributed tracing and metrics.
• –Collaborate with the development team to ensure efficient deployment and testing of software.
• –Evaluate and integrate AI-assisted DevOps tools (e.g. AI-driven anomaly detection, AIOps for incident response, Copilot-style coding/automation assistants) to improve efficiency and reduce manual toil.
• –Troubleshoot and resolve technical issues in a timely and efficient manner, using AI-assisted root-cause analysis tools where useful.
• –Continuously improve infrastructure and processes for scalability, reliability, cost-efficiency, and security (DevSecOps mindset).

REQUIREMENTS

• Must have
• –Excellent problem-solving and analytical skills.
• –Strong communication and collaboration skills.
• –Expertise in administration of Linux/Ubuntu server environments.
• –Experience with containers and container orchestration (Docker, Kubernetes).
• –Experience with scripting/automation languages (Bash, Python, or similar); comfort using AI coding assistants (Copilot, Claude, etc.) to accelerate scripting and troubleshooting.
• –Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates).
• –Experience with setup and maintenance of monitoring/observability systems.
• –Experience managing a public cloud environment (Azure preferred).
• –Strong understanding of networking, cloud security, and DevSecOps principles (SAST/DAST, secrets management, container/image scanning).
• –Familiarity with Git and modern branching/GitOps workflows.
• –Familiarity with database deployment and management.
• –Familiarity with Agile methodologies and DevOps practices.
• Nice to have
• –Proven experience as a DevOps Engineer in a cloud-based environment.
• –Expertise in Kubernetes (AKS), Helm, Docker, and Nginx.
• –Familiarity with Microsoft Azure, including cost analysis/FinOps for Azure deployments.
• –Familiarity with MongoDB and RabbitMQ.
• –Familiarity with the Elastic Stack and Grafana/Loki/Prometheus.
• –Exposure to AI/ML-driven observability or AIOps platforms.
• –Experience integrating LLM-based tools into CI/CD or support workflows (e.g. automated PR reviews, chatbot-assisted troubleshooting, log summarization).
• –Awareness of security considerations for AI-integrated pipelines (model/data governance, prompt injection risk in automated tooling).

Educational qualifications

–Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.