Senior Software Engineer

Note: Mandatory: Python OR Java + AWS + REST APIs + relational databases Domain Experience : LIMS, healthcare, biotech, genomics, or clinical laboratory experience Location: Fremont, CA (Hybrid - Monday, Tuesday, Thursday onsite) Summary: We are seeking a Sr. Software Engineer to design, develop, and maintain our Laboratory Information Management Systems (LIMS). This role is a key contributor to our engineering team, taking ownership of feature development for both existing systems and new cloud-based platforms. You will work with senior engineers to tackle complex problems and deliver high-quality, scalable solutions that power our laboratory operations in a regulated environment. Responsibilities: Design, develop, test, and maintain software systems and features supporting laboratory operations. Develop and optimize backend services and APIs using Python and/or Java. Implement solutions using a variety of database technologies, including relational and graph databases. Take ownership of deploying and maintaining services in our AWS cloud environment. Actively participate in code reviews, design discussions, and technical documentation to ensure quality and maintainability. Troubleshoot and resolve complex technical issues in development and production environments. Collaborate with cross-functional teams to translate business requirements into robust technical solutions. Qualifications: B.S. degree in Computer Science, Engineering, or a related technical field. 5 years of professional software development experience. Strong proficiency in at least one programming language such as Python or Java. Proven experience building and deploying applications on AWS. Solid experience with relational databases (e.g., PostgreSQL, MySQL) and developing REST APIs. Experience with version control systems (e.g., Github, Bitbucket) and CI/CD concepts. Excellent problem-solving skills and the ability to work independently on complex tasks. Preferred: Experience with web frameworks like Flask or FastAPI. Familiarity with modern JavaScript frameworks (e.g., React, Angular, or Vue.js). Experience in the life sciences, healthcare, or another regulated industry. Familiarity with containerization technologies (e.g., Docker). Exposure to graph databases or NoSQL technologies.