Senior Software Engineer
Toronto · 5+ years experience · Full-time · Remote · Posted Oct 8, 2026
At a glance
- Experience
- 5+ years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- Toronto
About ZoomInfo
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
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- ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
- ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
- For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
About the role
- As a Senior Software Engineer at ZoomInfo, you will design, build, and operate software that solves complex business problems through thoughtful use of data, AI, and experimentation.
- You will independently lead substantial technical projects within your team’s scope, contribute to system design and engineering standards, and provide guidance to other engineers.
Responsibilities
- Own software delivery from problem definition through production, translating business needs into technical requirements, designs, and implementation plans.
- Design maintainable systems by building applications, APIs, services, and data processing components with clear interfaces, appropriate abstractions, and reusable code.
- Apply AI and machine learning to practical problems by partnering with data scientists and other specialists to integrate models, AI services, and analytical capabilities into software products.
- Explore and validate new approaches by developing prototypes and proofs of concept, testing technical feasibility, and evaluating emerging tools and techniques.
- Build reliable data integrations and pipelines, working with structured and unstructured data, establishing data quality checks, and developing components that support applications, analytics, and model inference.
- Define and measure success by establishing metrics for software reliability, performance, AI output quality, and business impact.
- Make sound technical tradeoffs by assessing architecture options, implementation complexity, operating costs, and build-versus-buy decisions.
- Maintain a high engineering quality bar by writing readable, tested, and documented code and participating in code and design reviews.
- Operate and improve production systems by diagnosing failures, addressing performance bottlenecks, and improving monitoring and recovery processes.
- Strengthen the team’s technical capabilities by contributing to shared tooling, sharing findings from experiments, and mentoring colleagues.
Requirements
- Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- 5+ years of professional software engineering experience, including substantial ownership of software deployed and maintained in production.
- Demonstrated ability to independently deliver complex technical projects, navigate ambiguous requirements, and make thoughtful design and implementation decisions.
- Strong proficiency in Python and SQL, with experience building maintainable software beyond exploratory scripts or notebooks.
- Solid understanding of software design, APIs, data structures, automated testing, version control, and CI/CD.
- Experience building and operating cloud-based applications, services, or data-intensive systems, including troubleshooting production issues and improving reliability.
- Experience working with data pipelines, databases, and integrations, with attention to data quality, performance, and access controls.
- Working knowledge of applied AI, machine learning, or statistical methods, including how to evaluate their suitability, limitations, and performance in a software solution.
- Ability to explain technical decisions and tradeoffs, collaborate across disciplines, and provide constructive guidance to other engineers.
Preferred qualifications
- Master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML.
- Experience designing and maintaining dashboards for operational or executive audiences.
- Experience presenting analyses to senior technical and non-technical audiences.
- Exposure to Sales, Marketing, Finance, or HR analytics domains.
Workplace
- Position utilizes remote work indicators (#LI-Remote).
Skills
- Python
- SQL
- APIs
- CI/CD
- Machine Learning
- AI
- Cloud
- Data Pipelines
- Databases
- MLOps
