Senior DevOps Engineer

Scan.com

8d•$140,000 - $175,000•Remote

About The Position

We’re Scan.com, the digital health scale-up making diagnostics accessible, fast, and transparent. Our technology speeds up diagnoses for timely treatments, improving healthcare outcomes for hundreds of patients each day. We're doing diagnostics differently, with solutions tailored to both patients and providers, all backed by our technology and world-class customer operations team. Our B2C marketplace simplifies booking a scan, making it as straightforward for patients as booking a hotel. Our B2B platforms provide live scheduling at the point of care and harness AI to ease workflows for physicians, attorneys, and providers. Scan.com's infrastructure is the layer everything else depends on. Our marketplace, integrations, data warehouse, and clinical workflows all sit on top of a cloud environment that has to be reliable, observable, secure, and compliant with the frameworks that govern healthcare technology. As we scale, that layer needs to scale with us, and the engineering practices around it need to mature at the same pace. We are seeking an experienced DevOps Engineer to join our Infrastructure team as we expand the DevOps function. This is a hands-on senior role that combines deep technical execution with the kind of engineering judgment that shapes how a growing infrastructure team operates. You will report into our Infrastructure leadership and work closely with Engineering, Security, and Compliance across a HIPAA-regulated environment. As a scale-up business, you can expect your role to develop over time. Here are some of the types of things you could be getting involved in: Provide hands-on DevOps work across the network, servers, and cloud platforms, operating as a senior technical contributor from day one Ensure DevOps and Engineering processes align with security best practices, and help embed those practices deeper into how the broader engineering org works Implement monitoring, logging, and observability solutions using CloudWatch, DataDog, and other tooling to ensure system health and performance are visible and actionable Automate security scanning, vulnerability assessments, and compliance checks within CI/CD pipelines, closing the gap between "we run scans" and "we act on what they find" Ensure all infrastructure is managed via IaC (Terraform), so that reproducibility and version control are properties of the system rather than aspirations Architect and implement deployment strategies, including blue-green deployments, canary releases, and automated rollbacks, with the goal of making production changes safe by default Advance software supply chain security across dependency risk, artifact integrity, and code signing, and guide implementation patterns that other engineering teams can adopt Leverage AI-powered tools to analyze risks, identify consolidation opportunities across our estate, and generate assessment summaries that would otherwise require significant manual effort

Requirements

Six or more years of experience in DevOps, Infrastructure, and Cloud Engineering, with a track record of operating at a senior technical level in production environments
Deep understanding of HIPAA, SOC-2, and ISO compliance frameworks and their technical implementation. You have translated compliance requirements into infrastructure controls
Expertise in AWS, including EKS, RDS, Security Hub, Identity Center, and Control Tower. You are fluent in the AWS security and account management primitives, not just the compute and storage ones
Strong working knowledge of Postgres or other relational databases, including operational responsibilities such as performance tuning, backups, and failover
Strong expertise in CI/CD pipelines, particularly GitHub Actions & ArgoCD, and a clear point of view on how to structure pipelines that are fast, safe, and observable
Solid grasp of security best practices in CI/CD pipelines and cloud infrastructure, with the practical experience to know where the common failure modes are
Hands-on experience with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform), including building and managing declarative GitOps deployment patterns via ArgoCD to handle application lifecycle management at scale
Genuine AI fluency in your daily infrastructure practice. You use AI tools daily to accelerate IaC, scripting, and troubleshooting. Rather than relying on AI as an occasional aid, you understand how to structure configurations so AI agents can reliably consume them, and you actively evaluate the security and quality of AI-generated code. Candidates who treat AI as a novelty rather than a core part of how they work will not be competitive for this role
Advanced knowledge of Cloudflare and its role in edge, security, and performance architectures
Excellent problem-solving skills and the ability to troubleshoot complex deployment issues under production pressure without losing composure or accuracy

Responsibilities

Provide hands-on DevOps work across the network, servers, and cloud platforms, operating as a senior technical contributor from day one
Ensure DevOps and Engineering processes align with security best practices, and help embed those practices deeper into how the broader engineering org works
Implement monitoring, logging, and observability solutions using CloudWatch, DataDog, and other tooling to ensure system health and performance are visible and actionable
Automate security scanning, vulnerability assessments, and compliance checks within CI/CD pipelines, closing the gap between "we run scans" and "we act on what they find"
Ensure all infrastructure is managed via IaC (Terraform), so that reproducibility and version control are properties of the system rather than aspirations
Architect and implement deployment strategies, including blue-green deployments, canary releases, and automated rollbacks, with the goal of making production changes safe by default
Advance software supply chain security across dependency risk, artifact integrity, and code signing, and guide implementation patterns that other engineering teams can adopt
Leverage AI-powered tools to analyze risks, identify consolidation opportunities across our estate, and generate assessment summaries that would otherwise require significant manual effort