Staff Engineer, Software; Deployment

Staff Engineer, Software (Deployment)

Pac Bio (NASDAQ: PACB) is a premier life science technology company that designs, develops, and manufactures advanced sequencing solutions to help scientists and clinical researchers resolve genetically complex problems. Our mission is to enable the promise of genomics to better human health. Genomics is core to all biological processes, and our advanced genomics tools provide scientists and clinical researchers the insights to better understand biology and health.

We are now entering the century of biology and genomics is at the heart of the next revolution. Become part of the new paradigm in gene sequencing and help shape the future of genomic study by joining the Pac Bio team.

Pac Bio's sequencing instruments are critical to sequencing labs around the world. As a Staff Deployment Engineer, you will work cross-functionally to design, develop, and deploy the compute platforms integrated into our sequencing appliances, our customers' data centers, and the cloud. You will be expected to set technical direction rather than receive it: to decide what our deployment and platform architectures should look like several years out, build the pieces that do not exist yet, and deliver a product that satisfies CLIA labs and other regulated customers.

• Cloud deployment. Bring core data analysis pipelines to the cloud to offer flexible, on-demand compute capacity for our customers. Provide a secure, reliable, and transparent alternative to on-prem compute. Define and implement the deployment model for cloud-hosted services, including infrastructure as code, environment promotion, secrets management, and delivery pipelines, and establish the patterns other teams will adopt.
• Build and release pipelines. Consolidate build infrastructure onto a single CI/CD platform, moving builds into containers so they are reproducible and independent of hand-maintained agents. Rationalize dependency management, proselytize statelessness and immutability, and instrument deployment pipelines for predictability and uptime. Develop and implement traceability and retention policies for product lifecycle management.
• Image architecture and hardware integration. Own image architecture jointly with instrument engineering: composition, maintainability, and performance across node roles and hardware variants. You will build the images themselves with curated package sets, Pac Bio software, purposeful partition layouts, and the driver, device, and firmware integration each variant requires. This includes virtual machines in production and virtualized server equivalents used for development and test.
  
  Support custom hardware interfaces, robotics packages, and low-latency user interfaces.
• Infrastructure and Configuration as code. Replace bespoke scripting and image-baked state with declarative, reviewable configuration for instruments, build infrastructure, and laboratory systems.
• Supply-chain integrity and security posture. Establish the assurance capability the product needs: artifact and image signing, verified boot, automated software bill of materials generation, continuous vulnerability ingestion and triage against a defined patch cadence, and a documented hardening baseline.
• Cross-functional and regulatory execution. Partner with Quality, Regulatory, Manufacturing, IT, and Field Service to make deployment auditable and predictable: traceability from commit to shipped artifact, change control and release documentation, and validated builds delivered to manufacturing on schedule.
• Technical leadership and resilience. Set engineering standards, review designs and code, and mentor engineers across the organization. Document and de-risk the systems that currently rely on individual knowledge.

• 10+ years of professional experience in systems, platform, release, or deployment engineering, or a Master's degree in computer science, computer engineering, or a related discipline plus 8+ years of such experience.
• Demonstrated experience delivering Linux-based systems on appliance, instrument, or other purpose-built hardware into customer or field environments.
• Fluency in Python and shell, sufficient to build and maintain production automation that others depend on.
• Deep, hands‑on Linux systems expertise: boot chain, systemd, file systems and partitioning, packaging, and kernel or driver integration.
• Experience designing and operating automated, reproducible image build pipelines, with a…