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Job Title: Cloud Infrastructure Engineer (GCP/Azure)
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PathAI

Senior DevOps Engineer

Boston, MA, United States

The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500.

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Job details

Pay: The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500.
Experience: You have 5+ years of experience in DevOps, platform, build/release, or site reliability engineering
Posting language: English
Posted: Nov 6, 2026

Original job description

Location: Remote (US) or Hybrid – Boston, MA (2 days per week in office)

PathAI's mission is to improve patient outcomes with AI-powered pathology.

Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis are critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.

The Opportunity

PathAI is hiring its first dedicated Developer Operations Engineer to own the systems that let our engineers ship: release automation, CI/CD, build and deployment infrastructure, and developer environments across our products. That includes AISight, our digital pathology platform used by hospitals and labs and deployed both in the cloud and on-premises, as well as the software behind our biopharma clinical trial services.

Today this work is spread across product engineers and is constantly weighed against feature delivery. You will change that. You'll own your own backlog and OKRs, set technical direction for how we build, test, and release software, and partner closely with our product and integration engineering teams, embedding with them when a project calls for it. Because our clinical software is regulated as a medical device, you'll design automation that makes releases faster and safer while meeting our quality system requirements.

This is a high-leverage senior role with a clear path to growing into a team. Your work will directly return engineering capacity to the organization and make frequent, low-risk releases routine.

You will own our release process end to end for both cloud and on-premises deployments, automating manual steps such as versioning, localization, and zero-downtime (blue-green) cutovers
You will partner with our quality and regulatory teams to design compliant release and rollback processes, so we can ship changes and revert them quickly and safely
You will design and maintain fast, reliable CI/CD pipelines, with sensible container image build strategies and consistent configuration across repositories, using DORA metrics to measure and improve delivery performance
You will bring all of our product lines onto a common release and infrastructure model, including zero-downtime deployments, repository consolidation, and faster pipeline feedback for developers
You will standardize deployment tooling, monitoring, and observability across cloud, on-premises, production, and test environments, including packaging and upgrade paths for customer-hosted installations
You will build the product performance metrics we report as part of ongoing regulatory monitoring
You will automate the release documentation our quality system requires as a regulated medical device company
You will find and fix the root causes of recurring operational issues, tightening feedback loops between support and engineering
You will set long-term direction for how every PathAI service is built, deployed, and operated

Who You Are (Required)

You have 5+ years of experience in DevOps, platform, build/release, or site reliability engineering
You have deep expertise designing and maintaining CI/CD systems (e.g. GitLab CI, GitHub Actions, ArgoCD, Kargo)
You have strong experience with containers and orchestration (Docker, Kubernetes) and infrastructure as code (Terraform or similar)
You have hands-on experience with a major cloud provider, preferably AWS, as well as deploying and supporting software in customer-hosted, on-premises environments
You are proficient in at least one scripting or programming language such as Python or Go
You have experience implementing zero-downtime deployment strategies such as blue-green or canary releases
You are familiar with monitoring and observability tooling (e.g. Prometheus, Grafana, Datadog)
You have the ability to quickly learn unfamiliar codebases and reason through operational problems in systems you didn't write
You can self-direct: you can define a roadmap, prioritize your own backlog, and communicate progress to engineering leadership

Preferred

You have experience in a regulated environment (FDA, IVDR, ISO 13485, or IEC 62304)
You have experience consolidating repositories into a monorepo or standardizing build tooling across many services
You have a background in healthcare, life sciences, or medical imaging, especially deploying into hospital IT environments with restricted or air-gapped networks

This is a hybrid position based in Boston, MA. Relocation benefits are not available for this position.

The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.

PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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More about this job

Skills

Clinical trials
CI/CD
Packaging
Documentation
DevOps
GitLab
GitHub
Docker
Kubernetes
Infrastructure as code
IBM Terraform
AWS
Python
Go
Prometheus
Grafana
Datadog
Leadership

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