Sr Infrastructure Engineer

Watertown, NY - USA

Yearly Salary: $ 150787 - 178528

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

The Role

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

Job Type: Full-time

Location: Watertown MA or remote / hybrid

How You Will Contribute

As part of the Computational Platform team you will help design deploy and maintain the core systems that make large-scale model training and serving possible. Youll contribute directly to infrastructure improvements that increase platform reliability developer velocity and the performance of ML workloads across the company.

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

Required qualifications

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 dont just identify challenges; you find solutions.

Preferred qualifications

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.

The Company

At Dyno Therapeutics we are a forward-thinking team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists protein engineers software developers data scientists and machine learning expertsall working together to shape the future of gene therapy.

Our culture is defined by three core values:

One Mission: Everything we do is for the mission. We are a cohesive and motivated team thinking ahead and supporting one another to overcome challenges.
Proactive Responsibility: We take action inject energy into our work and hold ourselves accountable for delivering results.
Reaching for Excellence: We constantly strive for excellence fueled by curiosity adaptability and the courage to speak hard truths in pursuit of success.

These values are more than wordsthey guide our daily actions. We seek individuals who share our passion for innovation excellence and teamwork. At Dyno building life-changing technologies isnt just a job; its a mission that drives us forward.

What Youll Give:

Bring an unstoppable work ethic stepping up when things get tough and adapting as priorities shift.
Embrace challenges as opportunities finding solutions where none exist and driving innovation forward.
Operate with urgency responsibility and resilience because this mission demands the best from us.

What Youll Get:

Competitive compensation & equityyour contributions drive results and we pay accordingly.
Mission-aligned high-trust environmentwe succeed together supporting each other through challenges.
A career-defining experiencework at the forefront of AI-driven genetic medicine tackling problems that reshape healthcare.

If youre ready to push boundaries build the future and thrive in a fast-moving high-impact environmentwed love to hear from you.

At Dyno we believe in transparent and equitable compensation practices.

Expected Base Salary Range:

Sr. Engineer: $150787 - $178528.48/year

This reflects the typical offer range for this role based on experience role scope and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidates experience interview performance and expected impact.

This role is eligible for:

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

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Equal Employment Opportunity (EEO) Statement

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.

Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process nor will we ask for personal information such as financial details over email. Official communication will only come from an @ email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain please report it as spam and report the communication to us at

Required Experience:

Senior IC

The RoleWe are seeking a Platform Infrastructure Sr. Engineer to build the foundational cloud infrastructure powering Dynos integrated platform for AI-driven protein design. As a Platform Infrastructure Engineer youll work alongside senior engineers to design implement and scale reliable infrastruct...