Senior DevOps Engineer

Faro Health aims to improve lives by helping life sciences companies answer complex clinical questions, simply, efficiently, and effectively. Our software platform is used to orchestrate complex clinical development with a single source of truth. It brings words, data, and teams together, empowering researchers to design more intelligent trials, master complexity, and reach milestones faster.

The Senior DevOps Engineer is a key member of the development team who will be entrusted to manage the complexity of change and ensure sanity and stability through CI/CD automation. By managing infrastructure as code, you will create the foundation for building amazing and intuitive software for clinical trial designers. At the intersection of development and operations, this position will have responsibility for designing and building tools for Azure and AWS Cloud using advanced patterns for Zero-Trust security, container orchestration, and distributed microservice scaling for our cloud-based apps.

Duties and Responsibilities

• Build highly interactive, single-page React apps that can scale with both increased interaction complexity and volume.
• Design, implement, and maintain deployments at scale, infrastructure, reliability, and scalability; then iterate and optimize continual improvements.
• Manage always-available infrastructure, deployment pipelines, and platform tooling to eliminate downtime and improve the manageability of services and systems.
• Collaborate with Software Engineering teams to architect and develop infrastructure and automated deployments for cloud-native SaaS applications.
• Research and integrate new technologies and innovative solutions to continuously enhance platform functionality and performance.
• Partner with peers on product development to define and execute the company’s roadmap and to address critical technical challenges.

Requirements

Qualifications

• You possess significant hands-on experience in Continuous Integration and Continuous Delivery (CI/CD), with at least 5 years of experience in software engineering and DevOps.
• You have demonstrable expertise in managing complex infrastructure for high-scale, cloud-based systems.
• You thrive in a fast-moving, growth-minded startup environment and are adaptable to evolving requirements.
• You have a thorough and current understanding of technologies and frameworks involved in building robust cloud-native applications.
• You maintain a strong balance of idealism and pragmatism, driving innovative solutions while ensuring practical implementation.

Skills and Competencies

• Cloud Platform Mastery: Extensive experience with cloud-service providers like AWS, Azure, and/or Google Cloud. Mastery of at least one cloud provider is essential. Hands-on experience in managing cloud infrastructure as code through Terraform.
• Containerization & Orchestration: Deep knowledge and hands-on experience with containerization and clustering technologies, including Docker, Kubernetes, HELM, and Istio.
• CI/CD & Workflow Automation: Solid expertise in CI/CD tools such as GitHub Actions, Ansible, Jenkins, BitBucket Pipelines, Azure DevOps, and serverless architectures. Proven ability to design and implement robust workflow automation.
• Streaming Technologies: Experience with streaming technologies such as Kafka, Event Hubs, and RabbitMQ.
• Application Development Support: Experience in developing and supporting server-side rendered applications using Node.js and Python, including full-stack considerations for containerized applications.
• Scripting: Proficiency in UI scripting languages, including Python, Bash, and PowerShell.
• Monitoring & Reliability: Expert in monitoring, logging, and observability tools. Understanding of system reliability, troubleshooting, and incident response practices.
• Data Presentation & Analytics: Experience in data presentation and analytics is a plus.
• Familiarity with generative AI (LLMs) and ability to apply prompt engineering for DevOps automation (e.g., config generation, runbooks).
• Excellent problem-solving skills and ability to blend traditional DevOps practices with next-gen AI capabilities.
• Self-motivated and able to work effectively with minimal supervision.
• Willingness and ability to rapidly learn new technologies and embrace diverse assignments.
• Bachelor’s degree in Computer Science or a related discipline, or equivalent practical training and experience.