Foresite Labs Fl2024 006·about 4 hours ago
Staff Engineer, Systems & DevOps
Location: San Diego, CA
Job Type: Full-Time
Pay Range: $175k - $185k
About Us
We are a venture-backed, stealth-stage biotechnology company based in San Diego, focused on developing novel technologies that will redefine how disease is detected, characterized, and managed with a novel approach to clinical genomics. Our mission is to fundamentally transform healthcare through a convergence of innovation across multiple scientific disciplines.
Founded by industry veterans with decades of experience in life sciences tools and diagnostics, our leadership team brings a proven track record of translating scientific insight into successful commercial products. Our investors include some of the most respected names in healthcare and deep tech.
Position Overview
We are looking for a Staff Systems & DevOps Software Engineer to own the infrastructure, configuration, and deployment foundations that keep our engineering teams productive and our systems reliable. This role will support both product software and internal test beds, and will work cross-functionally with firmware, hardware, HPC, and application engineers. You will help ensure that experimental systems, test infrastructure, and production deployments share consistent, debuggable, and well-managed software foundations.
This is a senior generalist role for an engineer who is comfortable operating across software deployment, system configuration, build and release pipelines, logging and observability, and Linux-based infrastructure. You will work closely with application, firmware, and HPC engineers to ensure software can be built, deployed, configured, monitored, and debugged consistently across development, test, and production environments. This role emphasizes pragmatic engineering over buzzwords: robust Linux systems, clear configuration practices, reliable deployments, and observability that actually helps engineers debug real systems.
Key Responsibilities
Systems & Deployment Engineering
Design and maintain systems for software configuration, deployment, and
upgrades
Own deployment workflows across development, test, and production
environments
Support software running in test beds, lab environments, and experimental
systems
Manage system configuration using best practices for reproducibility and
traceability
Support on-device, on-prem, and cloud-adjacent deployments as required
Work closely with engineering teams to operationalize new software components
Logging, Monitoring & Observability
Design and implement centralized logging and metrics collection
Ensure logs and metrics are structured, searchable, and useful for debugging
Build and maintain internal tooling for log visualization, exploration, and analysis
Work with engineers to improve log quality, signal-to-noise ratio, and
debuggability
Deploy and manage observability tooling such as:
Prometheus
Grafana
Loki
Cloud-based storage such as S3
Define logging and monitoring standards across services, test beds, and deployed
systems
Support alerting, diagnostics, and post-mortem analysis for deployed systems
Containerization & Runtime Environments
Build and maintain containerized environments for development and deployment
Define container build best practices and base images
Manage container runtimes and orchestration as appropriate to the system
Balance containerization with performance, debuggability, and operational
simplicity
Linux Systems & Configuration Management
Administer and deeply understand Linux-based systems
Configure services, networking, storage, and security settings
Apply best practices for configuration management and system hardening
Debug system-level issues involving processes, filesystems, networking, and
resource usage
Qualifications
Education:
BS/MS in Computer Science or Engineering
Required:
Experience & Technical Skills
7+ years of experience in systems, DevOps, or infrastructure-focused software
roles
Strong, hands-on Linux expertise (administration, debugging, performance)
Experience designing and operating CI/CD and build pipelines
Solid understanding of logging, metrics, and observability best practices
Experience deploying and maintaining containerized systems
Programming & Tooling
Proficiency in at least one systems or scripting language:
C/C++
Python
Shell scripting
Ability to read, debug, and support production C/C++ and Python applications
Experience integrating build systems (e.g., CMake, Make, Bazel, etc.) into CI
pipelines
Experience interfacing with cloud-based infrastructures (AWS, Azure, GCP)
IAM, Tiered Storage, EKS/Kubernetes, Databases etc.
Infrastructure & Observability
Experience with logging and monitoring stacks such as:
Prometheus/Granfana
Loki
S3 or similar object storage
Familiarity with cloud-adjacent tooling, even if systems are primarily on-prem or
hybrid
Preferred:
Experience supporting embedded or HPC-adjacent systems
Familiarity with configuration management tools or infrastructure-as-code
concepts
Experience operating systems in regulated or reliability-sensitive environments
Experience supporting distributed systems or edge deployments
Why Join Us
Work in a dynamic, collaborative environment where innovation and scientific rigor are
deeply valued.
Join a seasoned and multidisciplinary team tackling high-impact problems at the
intersection of science and engineering.
Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration.
Radian is an equal opportunity employer. We thrive on diversity and collaboration.