Senior Software Engineer - Computational Platform

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. The Company At Dyno Therapeutics, we are a high-energy, high-impact 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 experts—all working together at the intersection of AI and genetic medicine. Our culture is defined by three core values that guide everything we do: - 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 words—they drive our actions and decisions. Our greatest strength isn’t technology—it’s our work ethic. More than just technologists, we’re a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine. 🚀 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. 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 @dynotx.com 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 jobs@dynotx.com.