Senior Software Engineer I

Posted 30 days agoViewed

💎 Seniority level: Senior, 3-5 years

📍 Location: United States

💸 Salary: 131325.0 - 201000.0 USD per year

🔍 Industry: Biotech

🏢 Company: Freenome👥 501-1000💰 $254,000,000 about 1 year ago🫂 Last layoff 11 months agoPersonal Health Biotechnology Health Care Health Diagnostics

🗣️ Languages: English

⏳ Experience: 3-5 years

🪄 Skills: Backend DevelopmentDockerPythonSoftware DevelopmentSQLBashCloud ComputingGCPGitKubernetesAlgorithmsData engineeringData StructuresCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingRESTful APIsLinuxTerraformMicroservicesData modelingSoftware EngineeringData managementDebugging

Requirements:

3-5 years of experience as a software engineer shipping highly reliable production systems, preferably as member of platform and backend teams
Proficiency with Python and familiarity with one or more other high-level programming languages
Experience managing cloud native services, storage and compute infrastructure on one or more public cloud providers, including GCP or Azure
Experience with Docker and operating container orchestrator frameworks, preferably Kubernetes
Hands-on experience managing CI/CD pipelines with Infrastructure as Code
Experience driving performance, efficiency and usability improvements with proactive attitude to monitoring, debugging and relentless optimization
Strong communication and documentation skills, and high empathy for users
Ability to thrive in an environment where cross-functional collaboration, communication and compromise are part of your day-to-day work
BS or higher in computer science or a related technical field, or comparable experience

Responsibilities:

Develop, scale and provide support on the computing and data platforms that power all Freenome’s research
Understand user needs across a wide range of engineering and scientific disciplines, and create simple solutions to enhance their productivity
Build tools and abstractions to orchestrate and track distributed workflows, supporting petabyte-scale data pipelines and ML model development
Optimize our Kubernetes clusters for high-throughput batch processing, e.g. by scouting, deploying and tuning alternative schedulers and policy engines. We use Apache Yunikorn and Kyverno
Collaborate with team mates through system design, code review and pairing
Provide technical support and pair as needed with our scientific partners
Contribute to develop our Data Lakehouse and other platform components of a modern data architecture
Champion platform engineering best practices and a data as a product culture at Freenome

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