About DNAstack At DNAstack , our mission is to power precision medicine by building software that breaks down barriers to responsible biomedical data sharing, discovery, and analysis. We build cutting-edge software and industry standards to help researchers and clinicians analyze sequencing data and make faster, more accurate diagnoses. Our platform supports national and international networks tackling rare disease, cancer, infectious disease, and more. We're a nimble, cross-functional team of scientists, engineers, designers, and product thinkers working at the intersection of genomics, software, and cloud technologies. Our mission is ambitious, and so is our team.
The Role We are looking for an experienced, full-stack Software Engineer to join our team on a full-time, 12-month contract and help us design and develop products to power breakthrough discoveries in genomics and precision health. We are agile, move quickly, test and deploy continuously. You can expect to tackle a variety of challenging problems, and design and implement robust, secure, and scalable systems across multiple cloud environments. You will also have the opportunity to define standards for the future of genomics. We are highly collaborative, and a lot of our work happens in partnerships and research consortia. We work with governments, public health agencies, pharma companies, patient advocacy groups, diagnostic providers, and academic researchers, tackling neuroscience, oncology, and other specialty specific areas. Current work includes building shared analysis infrastructure on DNAstack federated cloud research platform that serve multiple independent disease research consortia simultaneously.
What You’ll Do Share leadership in the design and development of key systems




Architect services using well-accepted design patterns to allow for iterative development and future scaling
Proactively identify architectural and code weaknesses and recommend appropriate solutions
Prototype, develop, test, and deploy applications
Work with the product team, collaborate with customers, partners, and peers to identify product requirements
Perform functional and code reviews, contributing to the overall readability and maintainability of code
Research and select the appropriate tools for new or existing applications, with emphasis on efficiency and security
Create system design and application documentation and maintain resources
Guide junior members of our team towards strategic goals and technical excellence
Develop and maintain notebook environments (Python/R) for reproducible cross-dataset bioinformatics analysis
Build reusable workflow templates for spatial and single-cell integration pipelines intended for public release
Support federated data access across multi-tenant cloud environments connecting independent disease research consortia on shared infrastructure
Technologies Java (Spring Boot, Lombok, JUnit5, Mockito, Micrometer, Liquibase)
Python (uv, poetry, pytest, click, pandas, polars)
Type Script (Angular, Rx JS, Storybook.js, Chromatic, Jasmine + Karma)
Microservices, Docker, and Kubernetes
Cloud platforms (AWS, GCP, Azure)
Infrastructure as Code (Terraform, Cloud Formation)




Databases and query engines (Postgre SQL, Big Query, Red Shift, Trino)
Logging, Monitoring & Metrics (Datadog, Grafana)
AI-assisted development (Claude Code, Git Hub Copilot)
CI/CD (Git Hub Actions, Git Lab CI, Concourse, blue-green deployments)
Cloud-native application patterns (12-factor methodology, stateless services, microservices, configuration management, secret handling)
API development (REST, Open API, Swagger, Postman/Insomnia)
Git (trunk-based development, feature branches, pull request reviews)
Shell scripting (Bash, Unix, automation)
WDL / Cromwell (workflow orchestration for bioinformatics pipelines)
GCS-native data access patterns for large genomics file types (BAM, h5ad, Visium) and distributed processing of sparse matrices
Qualifications 4+ years of professional software development experience
Demonstrable understanding of systems, algorithms, and software design
Degree in Computer Science, Computer Engineering or related field
Self-starter attitude, willingness to learn current technologies and passion for improving their own coding practices
Excellent verbal and written communication skills
Nice to Have Experience working with and analyzing big data in a distributed environment
Experience and aptitude with lean-development principles, including: Understanding the dangers of over-engineering an MVP
Not sacrificing solutions for today’s problems, for concerns about tomorrow’s
Familiarity with & respect for principles such as DRY, KISS, SOLID, CUPID, YAGNI, INVEST, Swiss cheese model, etc.
Experience in healthcare or life sciences
Experience analyzing requirements and communicating solutions, especially in collaboration with partners and

📌 Software engineer (Toronto)
🏢 DNAstack
📍 Toronto