Senior Software Engineer - Computational Platform

Dyno Therapeutics•Watertown, MA

1d•$154,084 - $200,310•Remote

About The Position

The Role Sr Software Engineer A collaborative full-stack and cloud engineer who thrives at the intersection of software craftsmanship and cutting-edge science. This role is for someone eager to build and scale complex software products that put Dyno’s breakthrough genetic medicine capabilities in the hands of scientists and partners both internally and around the world. How You Will Contribute As a Sr Software Engineer, you will be responsible for building and maintaining Dyno’s scientific data platform. You will drive development of the cloud infrastructure that makes it 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.

Requirements

6+ 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.
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.

Nice To Haves

Biotech or life sciences domain experience.
Experience with LLMs, agent-based systems, or modern AI workflows.
Familiarity with ETL system design and best practices.
Experience writing and optimizing SQL queries.

Responsibilities

Drive engineering quality and reliability of Dyno’s data platform, ensuring access, security, and data lifecycle integrity.
Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools.
Support team members through code and architectural review to systemically increase engineering quality.
Move quickly from prototype to production, balancing speed with reliability.
Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results.