The Role

Sr Software Engineer A collaborative full-stack and cloud engineer who thrives at the intersection of software craftsmanship and cutting-edge science. This role is for someone eager to build and scale complex software products that put Dyno's breakthrough genetic medicine capabilities in the hands of scientists and partners both internally and around the world.

Job Type: Full Time

Location: Watertown, MA or Remote

How You Will Contribute

As a Sr Software Engineer, you will be responsible for building and maintaining Dyno's scientific data platform. You will drive development of the cloud infrastructure that makes it 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 data platform, ensuring access, security, and data lifecycle integrity.
• Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools.
• Support team members through code and architectural review to systemically increase engineering quality.
• Move quickly from prototype to production, balancing speed with reliability.
• Collaborate cross-functionally, leveraging Dyno's high-trust, high-impact culture to drive results.

Basic qualifications

• 6+ 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 Terraform, Kubernetes/Docker, and basic cloud networking and security.
• Solid experience with data engineering, including relational databases and data modeling.
• Expertise in Python or a similar programming language.
• React/Javascript experience.
• Alignment with Dyno's core values - We seek individuals who step up when things get tough, recalibrate when priorities shift, and thrive in a high-expectation environment.
• A proactive, problem-solving mindset - you don't just identify challenges; you find solutions.

Preferred qualifications

• Biotech or life sciences domain experience.
• Experience with LLMs, agent-based systems, or modern AI workflows.
• Familiarity with ETL system design and best practices.
• Experience writing and optimizing SQL queries.

What You'll 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 You'll Get:

• 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.

If you're ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment-we'd love to hear from you.

At Dyno, we believe in transparent and equitable compensation practices.

Base Salary Range: $154,084.36 - 200,309.67

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 candidate's 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.