Reliability Engineer (On-Premise Focus)

Proscia • Philadelphia, PA

2h • Onsite

About The Position

As a Reliability Engineer, you will own the reliability, performance, and operational excellence of Proscia’s on-premise installations at customer sites. Our platform powers high-resolution digital pathology and AI-assisted workflows in clinical and research environments, often running on customer-managed infrastructure. You’ll ensure these deployments are stable, performant, secure, and continuously improving. This is a hands-on role focused on on-premise container based deployments, systems performance, and real-world operational problem solving in complex customer environments.

Requirements

• Deep hands-on experience deploying and operating containerized applications using container tools such as Docker and Docker Compose in production environments.
• Strong Linux systems expertise (process management, networking, storage, security hardening, performance tuning)
• Expert troubleshooting skills in distributed systems across application, container, and infrastructure layers.
• Experience in enterprise networking technologies, and the ability to troubleshoot and suggest corrections in customer infrastructure.
• Familiarity with operating software in customer-managed or on-premise environments.
• Experience supporting data-intensive systems, ideally involving large image files or compute-heavy workloads.
• Working knowledge of observability practices (logs, metrics, tracing) and pragmatic monitoring approaches in non-cloud-native environments.
• Comfort working directly with customers or customer-facing teams to resolve high-impact issues.
• Demonstrated AI fluency: hands-on experience using tools like Claude, ChatGPT, GitHub Copilot, or similar AI systems to enhance productivity, automate tasks, and solve technical problems.
• A mindset aligned with Proscia’s values: ownership, speed, simplification, and a willingness to challenge the status quo.

Nice To Haves

• Experience with healthcare or regulated environments.
• Exposure to Kubernetes (for hybrid or future-state deployments).
• Experience with infrastructure automation or configuration management tools.
• Familiarity with database performance tuning for large datasets.
• Experience supporting GPU-enabled workloads.

Responsibilities

• Deploy, configure, and support Proscia’s container based application stack in on-premise customer environments.
• Own system reliability across customer installations, including uptime, performance, backup/recovery, and upgrade workflows.
• Diagnose and resolve production incidents, performing deep root cause analysis across application, container, host, storage, and networking layers.
• Optimize performance for large image datasets and AI workloads running on customer-managed compute infrastructure.
• Improve installation automation, configuration management, and repeatability across diverse environments.
• Develop and refine monitoring, logging, and alerting patterns appropriate for customer-hosted deployments.
• Collaborate closely with Engineering, Customer Success, and Support to translate field learnings into product and operational improvements.
• Document best practices and create operational playbooks for internal teams and customers.
• Leverage AI tools (e.g., Claude, code assistants, automation frameworks) to streamline troubleshooting, scripting, and operational workflows.

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