PathAI

Full-stack Engineer

• Solve interesting problems with code.
• Build new features for internal and external users, and refactor existing ones to make them better.
• Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
• Drive the architecture of our application platform, considering the team and our future product roadmap.
• Collaborate with product, design, machine learning, and infrastructure teams.
• Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
• Mentor, learn, and share knowledge with others along the way.
• Take responsibility for the quality of the code produced by you and the team.
• Contribute to a SaaS platform used in clinical trial workflows, ensuring reliability, data integrity, and compliance with industry standards.
• Collaborate with clinical, QA, and regulatory teams to ensure software changes meet validation expectations and support inspection readiness.

Senior Software Engineer, Fullstack

DevOps Engineer

• Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation.
• Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability.
• Designing, building, and operating our data center to support our rapidly growing Machine Learning team.
• Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment.
• Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure.
• Participating in platform on-call rotations and assisting with urgent incident response.

Staff Site Reliability Engineer

Machine Learning Engineer

• Architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment
• Drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements
• Lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices
• Collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production
• Optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored
• Champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers
• Automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.

Senior Software Engineer, Fullstack

Staff Site Reliability Engineer

Senior Software Engineer, MLOps