Reliability Engineer

Proscia•Philadelphia, PA

13d•Onsite

About The Position

This position is on-site in Philadelphia About Proscia Proscia is revolutionizing pathology, the last major frontier in healthcare to embrace digital. As a leader in pathology AI software, we are empowering pathologists and scientists to transition from traditional microscope-based workflows to digital, AI-driven approaches, unlocking new possibilities in precision medicine. The digital pathology market is experiencing explosive growth as advances in AI enable unprecedented insights into diseases like cancer. Pathology is central to medicine, and the shift to AI-powered solutions is not just modernizing workflows—it’s transforming how diseases are diagnosed, treated, and understood. Predictions for the future of pathology show a tidal wave of adoption, with experts describing the field as “poised for the next major breakthrough” in healthcare innovation. Backed by over $100 million in funding from leading healthcare and technology investors, Proscia is at the forefront of this revolution. Joining Proscia means being part of a company at the cutting edge of healthcare innovation, where the possibilities are limitless. With the convergence of AI, precision medicine, and digital pathology, we’re not just changing pathology—we’re redefining what’s possible in medicine. About This Position As a Reliability Engineer reporting to the VP, Technical Operations, you will own the reliability, performance, and operational excellence of Proscia’s installations at customer sites. Our platform powers high-resolution digital pathology and AI-assisted workflows/diagnostics in clinical and research environments, often running on customer-managed infrastructure. You’ll ensure these deployments are stable, performant, secure, and continuously improving. AI tools are a natural part of how you diagnose, automate, and operate. This is a hands-on role with a focus on container-based deployments, systems performance, and real-world operational problem-solving in environments where rigor matters.

Requirements

Deep hands-on experience deploying and operating containerized applications using container orchestration 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 with enterprise networking—you can troubleshoot and recommend corrections in customer infrastructure.
Comfortable operating software in customer-managed and 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.
You already use AI tools in your operational work, in troubleshooting, writing automation, analyzing logs, or however it fits your practice.
A mindset aligned with Proscia’s values: ownership, speed, simplification, and a willingness to challenge the status quo.

Nice To Haves

Experience building with or on top of LLMs, AI agents, or agentic pipelines.
Demonstrated fluency applying AI tools to real operational problems beyond basic code completion.
Familiarity with prompt engineering, tool use patterns, and evaluation of AI systems—you know when AI output is production-ready and when it needs different guardrails.
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.
Open-source contributions, side projects, or a portfolio that shows how you think and build.
Background that spans multiple domains or disciplines
Active in technical communities, forums, or meetups.

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—deep root cause analysis across application, container, host, storage, and networking layers, using AI alongside traditional debugging to correlate signals and cut through noise.
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 integrating agentic workflows in your day-to-day to keep pace with demands from Engineering.
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.
Create operational playbooks—written with the clarity and structure that makes them useful to teammates, customers, and the AI-augmented workflows the team relies on.
Contribute to Proscia’s technical presence—whether through internal demos, engineering blog posts, or operational knowledge sharing that raises the bar for how the team works.