Senior Software Engineer - Reliability (Remote)
About The Position
About this opportunity: Our Site Reliability Engineering (SRE) team is a new and critical function at Freenome. As a founding member of the team, you’ll help define the culture and build the systems that keep our regulated, cloud-based production environments reliable as we transition from research to commercial operations. This is an opportunity to do meaningful engineering work that will directly save lives. We value: Reliability as a product feature Continual improvement and learning Automate all the things! Technical simplicity and clarity Blameless postmortems and transparent communication As a Site Reliability Engineer, you will help design, implement, and operate observability, reliability, and incident management systems and practices across our clinical lab systems and regulated commercial workloads. You’ll partner with engineering teams to define service-level indicators (SLIs), objectives (SLOs), and error budgets; build runbooks and operational playbooks; and develop the monitoring and automation needed to ensure that our systems are reliable and compliant. This will also include contributions to system code, Infrastructure deployments and automation. This role is ideal for an engineer with experience running production workloads in the cloud, who is excited to build an SRE practice from the ground up in a regulated environment. The role reports to the Director, Cloud Infrastructure.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- 5+ years in software engineering or Infra/DevOps/SRE roles (Python or Go are what we currently use)
- Experience deploying cloud infrastructure via automation (e.g. Terraform, Pulumi, Bicep/ARM, etc.)
- Incident management experience in cloud/software engineering as well as familiarity with incident management platforms (e.g., Incident.io, ServiceNow, Opsgenie, Pagerduty, etc.)
- Hands-on experience operating production workloads in cloud environments
- Familiarity with Kubernetes (AKS, GKE, or EKS)
- Strong troubleshooting and root-cause analysis skills in distributed systems
- Experience with observability platforms (e.g., DataDog, Prometheus/Grafana, OpenTelemetry)
- Ability to define and implement metrics, dashboards, and alerting
- Demonstrated ability to work autonomously and own technical outcomes
- Strong understanding of cloud Infrastructure and Networking architectures and automation
Nice To Haves
- Experience supporting regulated environments (healthcare, biotech, financial)
- Familiarity with compliance-driven change management and release processes (FDA, HIPAA)
- Knowledge of CI/CD deployment strategies and change automation
- Experience with both GCP and Azure cloud platforms
- Interest in mentorship and system reliability practices at scale
Responsibilities
- Define and implement observability practices (metrics, traces, dashboards, logs, alerts) for production systems
- Partner with product, engineering, and lab teams to develop and maintain incident response playbooks and escalation procedures
- Partner with engineering teams to define SLIs/SLOs and establish error budgets
- Participate in on-call rotation for production systems, champion a focus on automation and self-healing
- Contribute to production deployment and change-management processes that meet FDA and compliance requirements
- Automate operational tasks, reducing manual intervention
- Contribute to production systems and designs with the goal of improving reliability
- Use Infrastructure as Code (IaC) to manage and deploy team owned infrastructure and subsystems
- Help build out the SRE practice
- Work closely with engineering, product, and lab teams to understand service reliability needs
- Partner with TPMs, RA/QA, and compliance stakeholders to align operational practices with regulatory requirements
- Participate in cross-functional incident reviews and postmortems
- Share knowledge and document operational standards for consistency and onboarding
- Design and run fire drills / tabletop exercises as well as disaster recovery exercises
- Model Freenome’s values and principles in your work and interactions
- Promote a collaborative, reliable engineering culture across product, infra, and lab engineering teams
- Contribute to documentation, runbooks, and operational standards
- Foster a culture of accountability, learning, and psychological safety
- Independently drive reliability improvements in scoped systems or services
- Provide mentorship to peers on observability, incident management, and operational best practices
- Help build and evolve Freenome’s reliability practices and contribute to team strategy discussions
Benefits
- You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
