Software Engineer II, Computational Platform

The Role Software Engineer II A collaborative full-stack and cloud engineer who thrives at the intersection of software craftsmanship and cutting-edge AI. This role is for someone eager to build and scale the external-facing AI products that put Dyno’s breakthrough genetic medicine capabilities in the hands of scientists and partners around the world. Job Type: Full Time Location: Watertown, MA or Remote How You Will Contribute As a Software Engineer II, you will be responsible for building and maintaining Dyno’s internal and external-facing AI products. You will drive development of the cloud infrastructure that makes them reliable, scalable, and secure. You will implement novel tooling that empowers Dyno’s scientists and external partners to work at the frontier of AI-driven genetic medicine. At Dyno, every role is mission-driven. Whether in science, engineering, operations, or business, each AAViator contributes to solving some of the most complex challenges in genetic medicine. Responsibilities: Drive engineering quality and reliability of Dyno’s external-facing AI products such as design.dynotx.com. Enable scaling of AI product workflows on design.dynotx.com to handle thousands of simultaneous workflows. Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools Implement a sound data platform for generation, processing, and serving AI data, ensuring access, security, and data lifecycle integrity. Move quickly from prototype to production, balancing speed with reliability. Work with urgency and adaptability, balancing innovation with execution. Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results. Basic qualifications 4+ years of software engineering experience in industry. Strong software development best practices: deployment, code management, environment management, and security. Hands-on cloud engineering experience with GCP and/or AWS, including Terraform, Kubernetes/Docker, and basic cloud networking and security. Solid experience with data engineering, including relational databases and data modeling. Experience taking agentic AI products to market or contributing to production-grade AI-driven applications. Expertise in Python or a similar programming language. React/Javascript experience. Alignment with Dyno’s core values - We seek individuals who step up when things get tough, recalibrate when priorities shift, and thrive in a high-expectation environment. A proactive, problem-solving mindset - you don’t just identify challenges; you find solutions. Preferred qualifications Biotech or life sciences domain experience. Experience with LLMs, agent-based systems, or modern AI workflows. Experience with software lifecycle best practices and DevOps. Familiarity with ETL system design and best practices. Experience writing and optimizing SQL queries. Experience with the current landscape of database and data processing technologies. The Company At Dyno Therapeutics, we are a high-energy, high-impact team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together at the intersection of AI and genetic medicine. Our culture is defined by three core values that guide everything we do: One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges. Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results. Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success. These values are more than words—they drive our actions and decisions. Our greatest strength isn’t technology—it’s our