Software Engineer, Dyno Therapeutics

• 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
• 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

Desirable

• 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
• 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