Jobs / Canada / Zoominfo Technologies LLC
Senior Software Engineer
Zoominfo Technologies LLC · 🇨🇦 Toronto, Ontario, Canada
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
Canada: Express Entry no longer awards ranking points for job offers (since 25 Mar 2025); a job offer still counts toward Federal Skilled Worker eligibility.
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Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Zoominfo Technologies LLC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Zoominfo Technologies LLC →
About the role
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. As a Senior Software Engineer, you will design, build, and operate software that solves complex business problems through thoughtful use of data, AI, and experimentation. You will turn ambiguous needs into reliable applications, services, and platforms that support teams across Sales, Marketing, Finance, HR, and related functions. You will have opportunities to explore emerging technologies, develop prototypes, and bring promising AI and data science capabilities into production. You will partner with engineers, data scientists, and business stakeholders to evaluate technical approaches, define success criteria, and deliver maintainable solutions with measurable impact. 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. Success requires sound engineering judgment, comfort with uncertainty, and the ability to balance experimentation with dependable delivery. What You’ll Do: • Own software delivery from problem definition through production. Translate business needs into technical requirements, designs, and implementation plans; build, deploy, and maintain solutions; and take responsibility for their ongoing performance and reliability. • Design maintainable systems. Build applications, APIs, services, and data processing components with clear interfaces, appropriate abstractions, and reusable code. • Apply AI and machine learning to practical problems. Partner with data scientists and other specialists to integrate models, AI services, and analytical capabilities into software products and business workflows. • Explore and validate new approaches. Develop prototypes and proofs of concept, test technical feasibility, and evaluate emerging tools and techniques. Use evidence to recommend whether to advance, revise, or discontinue an approach. • Build reliable data integrations and pipelines. Work with structured and unstructured data, establish data quality checks, and develop components that support applications, analytics, and model inference. • Define and measure success. Establish metrics for software reliability, performance, AI output quality, and business impact. Use experiments and statistical analysis where appropriate to evaluate outcomes and guide improvements. • Make sound technical tradeoffs. Assess architecture options, implementation complexity, operating costs, and build-versus-buy decisions. Communicate recommendations clearly to technical and non-technical partners. • Maintain a high engineering quality bar. Write readable, tested, and documented code; participate in code and design reviews; and use version control, automated testing, and CI/CD practices. • Operate and improve production systems. Diagnose failures, address performance bottlenecks, and improve monitoring and recovery processes. Incorporate appropriate safeguards for sensitive data and AI-enabled workflows. • Strengthen the team’s technical capabilities. Contribute to shared tooling and engineering practices, share findings from experiments, and mentor colleagues through design discussions, code reviews, and collaborative problem-solving. The information in this job description represents a summary of the role and is not intended to be a comprehensive list of job duties. Responsibilities and duties of the position may change without notice at the Company’s discretion. Wha