Dyno Therapeutics
genetic medicine
SoftwareEngineerII,ComputationalPlatform
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer II, Computational Platform at Dyno Therapeutics. Skills: full-stack engineering, cloud engineering, AI product development, Python, React, GCP, AWS, Terraform, Kubernetes. building and maintaining Dyno’s internal and external-facing AI products. drive development of the cloud infrastructure that makes them reliable, scalable, and secure”
What You'll Achieve.
build and scale the external-facing AI products; put Dyno’s breakthrough genetic medicine capabilities in the hands of scientists and partners around the world; makes them reliable, scalable, and secure; empowers Dyno’s scientists and external partners to work at the frontier of AI-driven genetic medicine; solving some of the most complex challenges in genetic medicine; 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; ensuring access, security, and data lifecycle integrity; Move quickly from prototype to production; balancing speed with reliability; balancing innovation with execution; drive results; delivering results; generate breakthroughs at the intersection of AI and genetic medicine; tackling problems that reshape healthcare; push boundaries; build the future; thrive in a fast-moving, high-impact environment
Industry & Context.
proactive, problem-solving mindset; find solutions; relentlessly resourceful problem-solvers
What They're Looking For.
Must Have
4+ years of software engineering experience in industry, 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
Nice to Have
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
What You'll Do.
building and maintaining Dyno’s internal and external-facing AI products
drive development of the cloud infrastructure that makes them reliable
implement novel tooling that empowers Dyno’s scientists and external partners
Drive engineering quality and reliability of Dyno’s external-facing AI products
Enable scaling of AI product workflows
Translate scientific and clinical questions into production-ready systems
and user-facing tools
Implement a sound data platform for generation
Move quickly from prototype to production
balancing speed with reliability
How You'll Work.
Team & Collaboration
Collaborate cross-functionally; leveraging Dyno’s high-trust, high-impact culture to drive results; support each other through challenges
Full Job Description
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 T
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