Senior Embedded Operations Engineer

December 14, 2024

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Proscia

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Proscia is a company focused on enhancing pathology laboratories with its AI-powered digital workflows and enterprise software platform called Concentriq. This platform enables anatomic pathology laboratories to achieve full digitization, improve diagnostic quality, and drive efficiency in research and development processes across life sciences. Proscia’s solutions leverage AI applications to accelerate drug discovery and development, and support real-world data solutions for precision medicine. The company is dedicated to perfecting cancer diagnosis through intelligent software, positioning itself as an innovator in digital pathology and AI solutions for modern laboratories.

Computer Software • Cancer • Cloud Computing

51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🧬 Biotechnology

📋 Description

• As a Senior Embedded Ops Engineer, contribute to Proscia’s platform for pathology. • Craft a product that empowers pathologists for accurate diagnoses. • Design, deploy, and maintain container orchestration platforms using Kubernetes and Helm. • Develop and maintain CI/CD pipelines using GitHub Actions. • Optimize infrastructure for high-throughput workflows. • Manage content in private artifact repositories.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive pay • Savings options • Schedule options • Insurance options that promote long-term health and personal growth • Office environment designed for creativity and agility • Free food, gourmet coffee, craft beer, and wellness rooms