Sr Infrastructure Engineer

Platform Infrastructure Senior Engineer

We are seeking a Platform Infrastructure Senior Engineer to build the foundational cloud infrastructure powering Dyno’s integrated platform for AI‑driven protein design. As part of the Computational Platform team, you’ll design, deploy, and maintain core systems for large‑scale model training and serving, improving platform reliability, developer velocity, and ML performance across the company.

Job Type: Full‑time

Location:

Watertown, MA, or remote / hybrid

• Build and maintain cloud infrastructure to support model training, data processing, and service deployments using Kubernetes and managed cloud resources.
• Develop Infrastructure‑as‑Code (IaC) to manage environments, networking, and service configuration throughout the code and service lifecycle.
• Support major infrastructure initiatives, including modernizing our application ecosystem by transitioning services to managed cloud services, and enabling robust multi‑node ML training by managing Kubernetes cluster deployments.
• Contribute to automation, monitoring, and CI/CD systems that improve reliability and developer efficiency.
• Collaborate with scientists and engineers across ML and biology.

• 5+ years of progressive experience in software engineering.
• Experience working with cloud infrastructure (GCP, AWS, or Azure) and comfort with IaC tools like Terraform.
• Motivated by solving foundational systems challenges that unblock higher‑level innovation in ML and computational science.
• Values collaboration, reliability, and craftsmanship in engineering.
• A proactive, problem‑solving mindset.

• Experience with Kubernetes, container orchestration, and cloud networking concepts.
• Exposure to machine learning workflows or eagerness to support distributed training environments.

At Dyno Therapeutics, we are a forward‑thinking team on a mission to build high‑performance genetic technologies that transform patient lives. Our culture is defined by the values of One Mission, Proactive Responsibility, and Reaching for Excellence.

• Competitive compensation & equity.
• Mission‑aligned, high‑trust environment.
• A career‑defining experience at the forefront of AI‑driven genetic medicine.
• Annual performance‑based bonus, stock options, comprehensive medical, dental, and vision coverage, 401(k) plan, flexible paid time off, 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.