Software Engineer II, Computational Platform
Dyno Therapeutics - Remote; Watertown, Massachusetts, United States
Posted May 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Software Engineer II, Computational Platform Remote; Watertown, Massachusetts, United States 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,
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