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.