Staff Engineer, Systems & DevOps

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.

Location:

San Diego, CA

Job Type: Full-Time

Pay Range: $175k - $185k

We are looking for a Staff Systems & Dev Ops 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.

• 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

• 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

• 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

• 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, file systems, networking, and resource usage

Education: BS/MS in Computer Science or Engineering

Required:

• Experience & Technical Skills
• 7+ years of experience in systems, Dev Ops, 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/Grafana, Loki, S3 or similar object storage
• Familiarity with cloud-adjacent tooling, even if systems are primarily on-prem or hybrid

• 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

• 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…