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Meta Software Engineer Jobs in Ontario (NOW HIRING)

We are seeking a visionary Principal Software Engineer to join our Engineering team. In this role ... Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class ...

Software Engineer II- Salesforce

Toronto, ON · On-site

CA$81K - CA$115K/yr

What You'll Do As a Software Engineer II with a strong Salesforce development profile, you will ... as Meta-Llama-3.1-70B-Instruct, Qwen2.5-14B-Instruct, granite-8b-code-base-4k, and approved ...

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ... Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, and similar. * Model ...

Google Ads, Meta, or similar platforms) * Advanced degree (Master's or Ph.D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field * Knowledge of database design and ...

Requirements Software Engineering (non-negotiable) * Python, fluently: pipelines, agent systems ... Meta, Google), or similar multi-source environments * Ability to translate raw signal into ...

... engineering, manufacturing, software, marketing, and sales. We're looking for a Head of Growth ... You should be comfortable developing strategy one day and reviewing Meta campaigns, landing pages ...

... engineering, manufacturing, software, marketing, and sales. We're looking for a Head of Growth ... You should be comfortable developing strategy one day and reviewing Meta campaigns, landing pages ...

Experience developing software for AR or VR equipment (e.g., Meta Quest, Apple Vision Pro) * Experience with programming 3D graphics, Unity, Unreal Engine * Experimental design and data analysis

Experience developing software for AR or VR equipment (e.g., Meta Quest, Apple Vision Pro) * Experience with programming 3D graphics, Unity, Unreal Engine * Experimental design and data analysis

Google Ads (Search, Display, PMax), programmatic/DV360, paid social (Meta, LinkedIn, etc.), SEO ... project management software (e.g., Monday.com, Asana, HubSpot) is expected. Nice to Have

... software development, sales & marketing, customer support, finance & accounting, and more, the ... Partner cross-functionally with Engineering, Data, Legal, and Privacy to embed consent, governance ...

Meta Software Engineer information

What is a Meta software engineer?

A Meta Software Engineer is responsible for designing, developing, and optimizing software products and infrastructure that support Meta's applications and services. They work on large-scale systems, collaborating with cross-functional teams to build innovative solutions in areas such as AI, virtual reality, and social networking. The role requires strong coding skills, problem-solving abilities, and expertise in languages like Python, Java, or C++.

What skills and qualifications are needed to be a Meta software engineer?

To thrive as a Meta Software Engineer, you need strong programming skills in languages such as Python, C++, or Java, a deep understanding of computer science fundamentals, and typically a bachelor's degree in computer science or a related field. Experience with large-scale distributed systems, cloud computing platforms, and familiarity with development tools like Git and debugging frameworks are essential; certifications in cloud services or specialized technologies can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top performers. These capabilities enable engineers to build high-quality, scalable products and seamlessly integrate within fast-paced, innovative technical teams.

What challenges do Meta software engineers face and how are they supported?

Meta Software Engineers often work on complex, large-scale systems that serve billions of users, presenting challenges such as optimizing performance, ensuring data privacy, and maintaining reliable uptime. The fast-paced environment requires engineers to stay current with rapidly evolving technologies and to frequently solve unique, open-ended problems. Meta provides robust support through collaborative teams, ongoing training, mentorship programs, and access to extensive internal knowledge resources. This environment helps engineers quickly ramp up, continuously improve their skills, and overcome technical and organizational hurdles efficiently.

Is it hard to get a software engineer job at Meta?

Securing a software engineer position at Meta is competitive, often requiring strong technical skills, relevant experience, and proficiency in programming languages like Python or C++. Candidates typically go through multiple interview rounds assessing coding, system design, and problem-solving abilities. Having a solid portfolio, relevant internships, and knowledge of tools like React or GraphQL can improve chances.

What are popular job titles related to Meta Software Engineer jobs in Ontario?

For Meta Software Engineer jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Meta Software Engineer job openings in Ontario as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Software Engineer

Toronto, ON

CA$220K - CA$300K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 days ago


Job description

We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias.

The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America.

We are seeking a visionary Principal Software Engineer to join our Engineering team. In this role, you will drive our technical strategy, tackle our most complex engineering challenges, and lead the integration of advanced AI models into highly scalable, production-grade features.

We have engineering hubs in New York City and Toronto, and this role is 5 days per week onsite in one of those offices. We optimize for people who like to think deeply, whiteboard with other sharp engineers, and ship ambitious systems together in person.

Join us at Owl.co and become an integral part of a forward-thinking team dedicated to transforming the insurance industry through technology. Your technical leadership will play a crucial role in shaping our product roadmap and delivering massive value to our clients.

Key Responsibilities:

  • Own the end-to-end system architecture of our core platform, ensuring it is highly scalable, secure, and capable of processing large-scale unstructured data.

  • Spearhead the engineering effort to seamlessly integrate, scale, and maintain applied AI and machine learning models in a high-stakes production environment.

  • Partner with Product leadership and cross-functional teams to define the long-term technical roadmap and translate business goals into actionable engineering initiatives.

  • Act as a technical mentor and force multiplier for engineers across the organization, setting the gold standard for code quality, system design, and engineering best practices.

  • Take hands-on ownership of the most difficult technical challenges related to system latency, model inference constraints, and complex data pipelines.

  • Continuously evaluate and introduce new technologies, frameworks, and engineering practices to improve the speed and reliability of our technical stack.

Ideal Profile:

  • Bachelor's or Master's degree in Computer Science or a related technical field.

  • 7+ years of experience in software development, with a proven track record operating at a Staff or Principal level within a product-driven organization.

  • Deep, hands-on experience designing, deploying, and scaling AI/Machine Learning systems or LLM-based applications in a production environment.

  • Experience with Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques for LLMs and VMs.

  • Expert-level proficiency in programming languages such as Python, TypeScript or similar.

  • Exceptional problem-solving skills and the ability to navigate extreme technical ambiguity.

  • High-level communication skills and the ability to debate architecture with engineers while explaining technical trade-offs to executive leadership.

  • Extensive experience with cloud platforms such as AWS or Azure.

  • Deep knowledge of containerized microservices architecture and modern backend APIs.

  • Experience building software for highly regulated industries where auditability and bias mitigation are critical.

  • Experience AI coding agents such as Claude Code, Codex, Cursor to accelerate development workflows.

Benefits:

  • Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.

  • Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms.

  • Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.

  • Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

  • Healthcare benefits: we cover 100% of the premiums for you and 70% for your family members (medical, dental & vision)

  • RRSP matching to help you save for your future

  • Recharge: 4 weeks of paid time off & 5 additional personal/sick days

  • Daily team lunches

  • Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to hang out with teammates IRL at least twice a year

Salary Range: $220,000 - $300,000 CAD Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects a range target for new hire salaries for the position and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.