Senior DevOps Engineer

Posted 8 Days Ago
Philadelphia, PA
In-Office
Senior level
Artificial Intelligence • Healthtech • Software • Biotech
The Role
The Senior DevOps Engineer will design and maintain Kubernetes infrastructure, optimize CI/CD pipelines, and improve observability for AI-assisted workflows in healthcare.
Summary Generated by Built In

About Proscia

Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology’s transition from microscope to images—and to use AI to change the way we think about cancer.

We can’t change medicine alone. That’s why we’re looking for curious thinkers, big dreamers, developers, evangelists, pathologists, and scientists— exceptional talent to help us harness the great power of AI for good and advance humankind.

At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists working on the front lines of fighting big enemies like cancer for patients around the globe. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors.

 

About the role


As a Senior DevOps Engineer, you’ll be a key contributor to Proscia’s platform—helping build the infrastructure that enables pathologists to diagnose patients more accurately and efficiently. Our product powers high-resolution virtual microscopy and AI-assisted workflows at massive scale. If you enjoy solving hard reliability and performance problems in data-intensive systems, this role will challenge you and offer uncommon growth opportunities.

You’ll work closely with engineering and technical operations teams to ensure our infrastructure, CI/CD pipelines, and observability stack support high-performance, compute-heavy workloads. You’ll also serve as a bridge between development and operations, helping teams ship quickly without compromising reliability or security.

Key Responsibilities:

  • Serve as the embedded operations advocate within engineering teams building applications for digital pathology and AI workflows.
  • Design, deploy, and maintain Kubernetes-based container orchestration platforms using Helm, ensuring scalability for large datasets and compute-intensive services.
  • Develop and maintain CI/CD pipelines (GitHub Actions) that support rapid iteration, testing, and safe production releases.
  • Optimize infrastructure for storage, transfer, and processing of very large files and high-throughput AI workloads.
  • Expand application observability through metrics and traces (OpenTelemetry/DataDog), and strengthen logging and alerting practices.
  • Use Infrastructure-as-Code (Terraform) to provision and evolve required cloud resources alongside engineering teams.
  • Partner with developers to streamline deployment of AI models and data pipelines into production.
  • Manage artifacts in private repositories to ensure secure, reliable distribution across environments.
  • Improve resiliency, recovery workflows, and operational readiness across services.
  • Collaborate with cross-functional partners to balance competing priorities in a fast-moving, innovation-driven environment.

Required Qualifications:

  • Deep expertise with Kubernetes, including Helm chart development and lifecycle management.
  • Strong containerization experience, including Docker and Docker Compose.
  • Proficiency with Terraform (or comparable IaC tooling) for production infrastructure.
  • Hands-on experience operating workloads on AWS and/or Azure.
  • Proven CI/CD ownership and implementation experience, ideally with GitHub Actions.
  • Strong background in observability tooling such as OpenTelemetry, DataDog, Prometheus, Grafana, or equivalents.
  • Experience supporting large-scale data pipelines and storage systems—especially for large image files or compute-heavy workloads.
  • Working knowledge of private artifact repositories (e.g., AWS CodeArtifact, Artifactory, GitHub Packages).
  • Excellent problem-solving skills, good judgment under pressure, and the ability to prioritize effectively in dynamic environments.

Preferred / Nice-to-Have Qualifications

  • Experience with distributed file systems or high-throughput storage solutions.
  • Familiarity with production AI/ML deployment patterns (model serving, data versioning, pipeline orchestration).
  • Knowledge of database performance tuning for large datasets.
  • Experience in industries with similar large-scale imaging or data-intensive workflows.
  • Exposure to regulated medical-device or other compliance-heavy development processes.

Beyond Just Work

As a company in healthcare, we want our people to be happy and healthy, in and out of the office. In addition to competitive pay, we ensure everyone on our team is supported with savings, schedule, and insurance options that promote long-term health and personal growth.

Our office environment is designed for creativity and agility: with walls as notepads and couches for collaboration. We’re located in the heart of Philadelphia, with views of the city so you can spend your time focusing on what matters most.

At Proscia, we don’t just accept differences—we celebrate them, we support them, and we thrive on them for the benefit of our employees, our products, and our community. Proscia is proud to be an equal opportunity workplace.

Top Skills

AWS
Azure
Datadog
Docker
Docker Compose
Github Actions
Grafana
Helm
Kubernetes
Opentelemetry
Prometheus
Terraform
Am I A Good Fit?
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The Company
Philadelphia, PA
95 Employees
Year Founded: 2014

What We Do

Proscia is a software company that provides digital and computational pathology solutions.

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