Founding engineering member building an AI-driven life-sciences SaaS platform. Own features end-to-end from design to production support, drive technical solutions, enforce best practices, perform expert code reviews, and mentor engineers to grow the team and deliver scalable, high-volume products.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
As Principal Software Engineer for a new product within Veeva, you will be a founding member of a team building our next major AI-driven platform — one that will transform how Life Sciences companies manage safety, regulatory, and clinical development.
You will influence and help grow a codebase and engineering organization from the ground up, wearing multiple hats across the engineering organization. The team will be AI-first in two meaningful ways: using AI to drive engineering productivity and strong engineering discipline, and building a product that applies AI in genuinely innovative ways to problems that matter.
Within your first year, you will have live customers on the platform and a thriving, growing team behind it - directly accelerating how customers bring life-saving products to market.
What You'll Do
- Full Feature Ownership: Own all stages of feature implementation, from design and development through deployment, production support, and maintenance. Daily code contribution using AI assistance for productivity
- Drive Solutions: Collaborate with Product Management and Development on technical design and problem-solving to deliver great code
- Rapid Problem Solving: Quickly analyze complex problems, identifying knowns and unknowns, to accelerate the path to robust solutions
- Develop Best Practices: Define, promote, and mentor on engineering best practices and coding standards, including the latest approaches to AI assisted engineering
- Expert Code Review: Provide comprehensive code reviews for engineers of all experience levels
- Strategic Mentorship: Develop the skills of engineering talent through structured mentorship
Requirements
- Seasoned Software Engineer: 12+ years of proven software development expertise (Production level Python development required)
- Enterprise SaaS Leader: Extensive experience developing high-scale enterprise SaaS cloud applications
- Scalability Expert: Proven track record of architecting and building high-volume products at scale
- Open Source Proficiency: Hands-on development experience with current open-source tools and technologies, including Python, Git, FastAPI, Pydantic
- Fast-Paced Adaptability: Highly driven and flexible, enjoys a fast-paced start-up environment, and believes in having fun along the way
- Mentorship: Proven ability to mentor and elevate team performance, fostering growth and excellence
- High work ethic: Veeva is a hard-working company
- High integrity and honesty: Veeva is a PBC and a “do the right thing” company. We expect that from all employees
- Excellent verbal and written English communication skills: Engineering is not all about the code, it’s also about communication
Interviewing with Veeva
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- PTO and company-paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $180,000 - $275,000 CAD
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
#LI-Remote#LI-Principal
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Veeva Toronto, Ontario, CAN Office
36 Toronto St Suite 400, Toronto, ON, Canada, M5C 2C5
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.
Top Skills:
Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript
Cloud • Security • Software • Cybersecurity • Automation
Conducts advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Responsibilities include discovering and exploiting systemic vulnerabilities, penetration testing, developing proof-of-concept exploits, researching AI and agentic security threats, building automated research tooling, coordinating remediation, mentoring security professionals, and communicating findings to engineering and security communities.
Top Skills:
Ai FrameworksDevsecopsDuo Agent PlatformGitlabGitlab Duo ChatGoPythonRubyRustTypescript
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Design and coordinate electrical systems for commercial, industrial, laboratory, and technical facilities from concept through construction. Lead Revit/BIM-based design, coordinate external engineering firms and vendors, review documentation, support budgeting and commissioning, and maintain design intent. Provide expertise in power distribution, lighting, low-voltage systems, equipment integration, safety compliance, facility troubleshooting, and energy-efficient building systems.
Top Skills:
AutocadBimBluebeamBuilding Automation Systems (Bas)Electrical EquipmentFire Alarm SystemsHvac ControlsLighting SystemsLow-Voltage SystemsMs ProjectNecNfpaOshaPower Distribution SystemsRevit
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
