About the Job Join a dynamic startup at the forefront of healthcare innovation, where you'll play a pivotal role in shaping the future of AI in medicine. As the Founding Backend Engineer for Platforms, you will lead the implementation of our data platform and infrastructure, driving seamless integration experiences for our clients and partners. Your expertise in platform engineering, federated evaluation, and enterprise data governance will be crucial in delivering impactful solutions.
About the Role Own the implementation of our data platform and infrastructure, ensuring robustness and scalability.Develop privacy-preserving federated evaluation systems and microservice architectures.Implement enterprise security standards to uphold data integrity and compliance.Collaborate cross-functionally to enhance the reliability and performance of federated evaluation features.Mentor and support engineers to foster a collaborative and innovative team environment. Requirements Minimum Qualifications: Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.4+ years of proven experience in software engineering, with a track record of delivering successful projects.Proficiency in backend languages (e.g., Golang) and databases (e.g., PostgreSQL).Strong grasp of testing strategies and frameworks for backend systems.Experience building and maintaining large-scale distributed systems.Excellent coding, testing, and system design skills.Strong analytical and problem-solving abilities.Deep understanding of privacy-preserving federated evaluation, microservice architectures, and enterprise security standards (e.g., ISO 27001, SOC-2, HITRUST). Preferred Qualifications: Experience with data warehouses like BigQuery or Redshift.Proficiency in developing and deploying containerized and serverless applications on GCP or AWS.Familiarity with CI/CD systems and processes.Experience integrating with electronic health record systems (e.g., Epic, Cerner).Understanding of the healthcare industry and current trends in health tech. Responsibilities Design and build highly scalable systems to simplify privacy, legal, and risk mitigation complexities.Lead initiatives to enhance the quality, reliability, and performance of federated evaluation features.Champion AI privacy, risk mitigation, and data governance best practices.Mentor engineers and collaborate closely with engineering management to nurture team growth. What You'll Get Opportunity to work in a fast-paced and collaborative startup environment.Learning and development allowance to support your professional growth.Competitive compensation package with opportunities for advancement.Comprehensive medical, dental, and vision coverage.Up to $25K reimbursement for fertility, adoption, and parental planning services.Flexible PTO policy and monthly wellness stipend. This version removes specific company names and focuses on highlighting the role, responsibilities, and benefits for potential candidates.