Software Engineer II, Computational Platform

Software Engineer II, Computational Platform

Remote;
Watertown, Massachusetts, United States

Job Type: Full Time

Location:

Watertown, MA or Remote

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 external-facing AI products that put Dyno’s breakthrough genetic medicine capabilities in the hands of scientists and partners around the world.

As a Software Engineer II, you will be responsible for building and maintaining Dyno’s internal and external-facing AI products. You will drive the 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.

• Drive engineering quality and reliability of Dyno’s external-facing AI products such as
• Enable scaling of AI product workflows on  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.

• 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.
• Alignment with Dyno’s core values.
• A proactive, problem‑solving mindset.

• Biotech or life sciences domain experience.
• Experience with LLMs, agent-based systems, or modern AI workflows.
• Experience with software lifecycle best practices and Dev Ops.
• 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.

At Dyno Therapeutics, we are a high-energy, high-impact team on a mission to build high-performance genetic technologies that transform patient lives.

$ – $ per year

• Annual performance-based bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-campus gym membership, onsite lunch, commuter support, and company-provided laptop

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.