Proscia

Senior Embedded Operations Engineer

Remote
Kubernetes Docker Terraform AWS Azure
Description

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 that data 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 use great power 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, who work on the front lines of fighting big enemies, like cancer, for patients around the globe. To accelerate our vision, Proscia has raised capital from great investors like Highline Capital Management, Emerald Development Managers, Triangle Peak Partners, Alpha Intelligence Capital, Scale Venture Partners, Hitachi Ventures, Flybridge, and more.

 

About the Role

As a Senior Embedded Ops Engineer, you’ll be an important contributor to Proscia’s platform, crafting a product that empowers pathologists to diagnose patients more accurately and more efficiently. Our product, a platform for high-resolution virtual microscopy images, will challenge you and provide growth potential you won’t see anywhere else.

In this role, you’ll work closely with development and technical operations teams to ensure our infrastructure, pipelines, and monitoring solutions are optimized for high-performance, data-intensive workflows. You will play a crucial role in bridging operations expertise with our development processes, enabling efficient and reliable solutions in this dynamic field.

Key Responsibilities:

  • Act as the embedded operations advocate and expert within Engineering teams working on applications supporting digital pathology and AI workflows.
  • Design, deploy, and maintain container orchestration platforms using Kubernetes and Helm charts, ensuring scalability for large data sets and compute-intensive applications.
  • Develop and maintain automated CI/CD pipelines using GitHub Actions to support iterative development and testing.
  • Optimize infrastructure to handle the storage and processing of large files and high-throughput AI workloads.
  • Build on existing tooling to further implement application observability through metrics, traces and improve logging.
  • Leverage Infrastructure-as-Code (IaC) tools to assist Engineering with implementation of required infrastructure resources.
  • Collaborate with development teams to streamline the deployment of AI models and data pipelines in production.
  • Manage content in private artifact repositories to ensure secure and efficient artifact distribution.
  • Identify and improve application recovery and resiliency.
  • Work with cross-functional teams to address competing priorities in a fast-paced, innovation-driven environment.

 

Qualifications:

  • Extensive expertise in Kubernetes, including Helm chart development and maintenance.
  • Advanced knowledge of Docker Compose for managing containerized applications.
  • Proficiency in Terraform for Infrastructure-as-Code (IaC) deployments.
  • Hands-on experience with AWS and Azure services.
  • Strong experience with monitoring and instrumentation tools such as OpenTelemetry and DataDog.
  • Proven ability to manage CI/CD pipelines using tools like GitHub Actions.
  • Experience handling large-scale data pipelines and storage solutions, particularly for large image files or high-performance computing workloads.
  • Solid understanding of managing private artifact repositories like AWS CodeArtifact.
  • Excellent problem-solving skills and adaptability to prioritize and execute tasks in a dynamic environment.
  • Experience with distributed file systems or high-throughput storage solutions.
  • Familiarity with tools and frameworks for deploying AI/ML models in production. (Nice to Have)
  • Knowledge of database optimization for large datasets. (Nice to Have)
  • Experience in industries dealing with similar large-scale imaging or data-intensive environments. (Nice to Have)
  • Experience with regulated medical-device processes. (Nice to Have)

Beyond Just Work

As a company in the healthcare field, 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 atop the train station so you can spend your time focusing on what matters most. Yes, we have the free food, gourmet coffee, craft beer, and wellness rooms —but you’ll come for the challenge, the camaraderie, and the opportunity to do bold work.


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.

Proscia
Proscia
Artificial Intelligence (AI) Biotechnology Life Science Medical

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