Sr Infrastructure Engineer

Dyno Therapeutics • Watertown, MA

11h • Hybrid

About The Position

We are seeking a Platform Infrastructure Sr. Engineer to build the foundational cloud infrastructure powering Dyno’s integrated platform for AI-driven protein design. As a Platform Infrastructure Engineer, you’ll work alongside senior engineers to design, implement, and scale reliable infrastructure for machine learning and Python services.

Requirements

• 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.
• You value collaboration, reliability, and craftsmanship in engineering.
• A proactive, problem-solving mindset - you don’t just identify challenges; you find solutions.

Nice To Haves

• Experience working with Kubernetes, container orchestration, and cloud networking concepts.
• Exposure to machine learning workflows or are eager to learn how to support distributed training environments.

Responsibilities

• 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. 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

Benefits

• Competitive compensation & equity—your contributions drive results, and we pay accordingly.
• Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges.
• A career-defining experience—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees