• Develop and maintain back-end applications using Node.js, following sound architecture practices and clean code principles. • Work on front-end interfaces and integrations using React and TypeScript. • Create, maintain, and optimize CI/CD pipelines, ensuring automated builds, tests, and deployments. • Use Docker for containerizing applications and standardizing environments. • Create and maintain configuration files in YAML (pipelines, infrastructure, or automations). • Manage source code versioning and workflows using GitHub, including GitHub Actions. • Collaborate on DevOps practices, contributing to the reliability, scalability, and observability of solutions. • Support technical decisions, code reviews, and development best practices.

• Develop and optimize code with a focus on performance and quality • Create and maintain automated tests • Work with REST APIs (both consumption and implementation) • Identify issues, analyze scenarios, and propose solutions • Assist with database modeling • Set up and maintain development environments • Translate business needs into technical solutions • Support and mentor more junior developers • Participate in team rituals (daily stand-up, planning, review, and retro)

Role Description Analyze, design, develop, troubleshoot and debug software programs for commercial or end-user applications. Write code, complete programming and perform testing and debugging of applications. As a member of the software engineering division, perform detailed design based on provided design or external specifications. Assist in system planning, scheduling and implementation. Analyze system specifications and existing business processes and information systems. Build enhancements (including new product features) and resolve bugs. Build and execute unit tests and unit test plans. May review integration and regression test plans created by QA. Communicate and interact with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure consistency, testability and portability across products in general. May telecommute. Qualifications - Master’s degree in Computer Science, Engineering, or related technical field - 4 years of experience in the job offered or in an Applications Developer-related occupation Requirements - Algorithms, data structures, object-oriented design, and design patterns - Programming languages including Java, JavaScript, Python, TypeScript, and GoLang - Full-stack web development - Full-stack mobile development - Cloud-native architectures; hands-on with Docker, Kubernetes, Jenkins, Git/GitHub, and CICD pipelines - SQL and noSQL databases including SQL, PL/SQL, MySQL, PostgreSQL, DynamoDB, MongoDB, Elastic Search, and Redis - Building distributed and scalable applications - AWS, GCP, and cloud platforms - Applied machine learning and natural language processing (NLP) techniques including sentiment analysis, decision-tree models, text classification, and text analytics - ETL, data warehousing, and OLAP processing including SSIS, SSAS, multidimensional modeling, KPIs, and analytics workflows Benefits - Flexible medical, life insurance, and retirement options - Opportunities for community involvement through volunteer programs Company Description Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Title: Software Engineer, Scientific Models Location: San Francisco, CA Full time Hybrid Department: Engineering Compensation - $173,113 – $234,388 • Offers Equity U.S. Benefits Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, 401(k)+ employer match, wellness, commuter, and more. Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. Department: Engineering Job Description: We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW We’re a team that’s embedding cutting-edge scientific AI models into Benchling to help scientists design better molecules. Scientific models (e.g. AlphaFold) predict structures, assess properties, and even generate new ideas, acting as a design partner as scientists design life-saving therapeutics and other molecules. As an engineer on the team, you’ll focus on building a scalable platform for scientific models. You’ll experiment with the latest models, define standards for model developers to be able to contribute their models, and design our architecture for fast inference. It’s early days for scientific AI models, both at Benchling and in the industry at large. We’ll rapidly iterate with customers and change directions quickly, figuring out new patterns for how we develop and go to market. We’ll win if we stay curious and obsess over our customers. RESPONSIBILITIES - Build and scale our scientific model platform by designing and implementing infrastructure for model inference that is fast, reliable, and cost-effective across a diverse set of scientific models. - Define standards and tooling for model developers, creating frameworks that make it easy to integrate, test, and ship third-party open-source and proprietary models into Benchling. - Work directly with customers to ideate use cases, gather feedback, and onboard scientific teams. - Shape how we build AI at Benchling, driving experimentation, contributing to technical direction, and helping evolve our engineering and product development practices as the field matures. QUALIFICATIONS - 3+ years of software engineering or equivalent research experience, developing or deploying scientific models in an industry or academic setting. - Strong experience with backend systems and infrastructure for supporting scientific model training or inference. - Strong technical and analytical skills for optimizing compute-intensive systems. - Collaborative mindset, able to work closely with engineers, product managers, and scientists to bring new ideas to life. - Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged. HOW WE WORK We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday). #LI-Hybrid #BI-Hybrid Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.