Key skills
PythonJavaGoRAIETLAirflowReactDjangoAWSAzureGCPTerraformKubernetesHelmLeadershipCollaboration
About this role
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health. They are seeking a Principal Software Engineer to join their R&D Platform Infrastructure team, responsible for building cloud infrastructure and workflow platforms for R&D. The role involves technical leadership, mentorship, and collaboration to deliver innovative solutions.
Responsibilities:
- Architecture & Delivery: Own the design, implementation, and delivery of major initiatives across our platform. Take fuzzy problems through to shipped, working software used in production
- Technical Leadership: Lead architecture and design reviews. Help the team find the right solution for the problem and avoid unnecessary complexity. Influence technical decisions across the team
- Mentorship: Mentor mid-level engineers through code review, design docs, and pairing. Raise the engineering bar by example
- AI-Native Development: Build and improve our AI-coding tooling alongside the rest of the team. Help us push the frontier of agent-driven software development inside the company
- Cross-Functional Partnership: Work with bioinformaticians, scientists, and other R&D engineers to understand their needs and translate them into platform capabilities. Partner with the team lead on roadmap, prioritization, and tough technical calls
Requirements:
- 10+ years of professional software engineering experience across a range of systems and problem types
- Production experience with a major cloud platform
- Production experience with Kubernetes (or equivalent)
- Production experience with Terraform (or equivalent)
- Strong proficiency in at least one general-purpose language (Python, Go, Java, or similar)
- You've shipped software to end users (internal or external)
- You've led an engineering team before and have mentored junior engineers
- You've worked in fast-moving environments where results need to be delivered quickly
- Familiarity with our tech stack: AWS, Kubernetes, Python, Go, Groovy, Terraform, Helm, Nextflow, WDL, Django, React
- AWS preferred; GCP or Azure equivalent
- Prior work in scientific or bioinformatics computing
- Prior work in LIMS or laboratory data systems
- Prior work in workflow orchestration engines (Nextflow, WDL, Airflow, Argo, Temporal, Dagster, etc.)
- Prior work in large-scale ETL or data pipeline systems
- Prior work in HPC/batch-compute platforms