Senior DevOps Engineer
Company: Proscia
Location: Philadelphia
Posted on: February 20, 2026
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Job Description:
Job Description Job Description Salary: 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 pathologys transition from
microscope to imagesand to use AI to change the way we think about
cancer. We cant change medicine alone. Thats why were 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, youll be a key contributor to
Proscias platformhelping 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. Youll work closely with engineering and technical
operations teams to ensure our infrastructure, CI/CD pipelines, and
observability stack support high-performance, compute-heavy
workloads. Youll 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 systemsespecially 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. Were 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 dont just accept
differenceswe 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.
Keywords: Proscia, Trenton , Senior DevOps Engineer, IT / Software / Systems , Philadelphia, New Jersey