Senior DevOps Engineer

Proscia • Middle City West, PA

13d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees