Helfie.AI

About Helfie: Helfie is on a mission to redefine global preventative healthcare. We’re pioneering an entirely new operating system for human health – empowering billions with instant, affordable health checks and AI- driven insights. Our vision is to build trust, drive organic engagement, and make preventative healthcare a reality for all 8 billion of us. Join us as we revolutionise the healthcare landscape and make early detection and prevention accessible to everyone. About the role: We are looking for a highly skilled DevOps Engineer to design, automate, and scale the infrastructure that powers Helfie.ai, an AI-driven preventive healthcare platform. You will play a key role in building secure, reliable, and high-performance cloud environments on Azure, managing AKS-based deployments, and ensuring seamless CI/CD pipelines across all environments. This role involves driving infrastructure automation using Terraform, optimizing system performance, and enabling engineering teams to deliver with speed, stability, and confidence as we scale globally. Key Responsibilities: Design, provision, and maintain scalable, secure, and cost-efficient infrastructure on Microsoft Azure using Infrastructure as Code. Build, deploy, and manage production-grade Azure Kubernetes Service (AKS) clusters — including cluster creation, scaling, upgrades, monitoring, and workload orchestration. Develop and maintain Terraform modules and pipelines to ensure consistent, version-controlled infrastructure deployments. Implement and manage continuous integration and delivery pipelines using Azure DevOps, GitHub Actions, or similar tools to enable seamless deployments. Set up comprehensive monitoring, logging, and alerting using Azure Monitor, Prometheus, Grafana, or ELK to ensure uptime, performance, and fault tolerance. Apply security best practices in infrastructure provisioning — implement identity management (Azure AD), secrets management, network policies, and role-based access control. Automate provisioning, scaling, and configuration management using Python, Bash, or PowerShell scripts. Continuously tune system performance, monitor resource utilization, and implement cost optimization strategies across environments. Troubleshoot and resolve infrastructure or deployment issues, perform root-cause analysis, and ensure system resilience through proactive improvements. Partner with backend, AI/ML, and product teams to integrate and deploy applications in a consistent, reliable manner across environments. Contribute to internal DevOps standards, perform code and configuration reviews, and uphold engineering best practices. Skills & Experience: This role requires someone who has: Minimum 4 years of hands-on experience in DevOps or cloud infrastructure engineering. Strong expertise in Microsoft Azure, including compute, networking, storage, and identity services. Proven ability to build and manage AKS clusters from scratch, including deployment strategies, Helm chart management, and production-grade scaling. Advanced proficiency in Terraform (mandatory) for Infrastructure as Code, with strong working knowledge of Bicep and ARM templates. Solid experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Strong scripting and automation skills in Python, Bash, or PowerShell. Experience with monitoring and observability stacks such as Prometheus, Grafana, and Azure Monitor. Deep understanding of container orchestration, load balancing, and networking within Kubernetes environments. Knowledge of DevSecOps practices — image scanning, secrets management, RBAC, and policy enforcement. Strong troubleshooting, performance tuning, and problem-solving skills in distributed systems. Excellent communication and collaboration skills to work effectively across engineering teams. Equal opportunity statement Helfie.ai is an Equal Opportunity Employer. We will not discriminate on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy or sexual orientation. We encourage applications from a wide range of candidates and selection for roles will be based on individual merit alone.