Jobs in Canada

Reliability Engineer Iii in Canada

138 active opportunities · Updated October 2026

Explore current reliability engineer iii jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.

E
📍 Toronto, Ontario, Canada· Full-time
✓ Quality checkedCompany trend -100%

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

E
📍 Canada· Full-time
✓ Quality checkedCompany trend -100%

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

E
📍 Canada· Full-time
✓ Quality checkedCompany trend -100%

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

PythonRestAIGo
R
📍 Toronto, Canada
✓ High-confidence listingCompany trend -76.2%
Quick readStrong listing-quality and freshness signals

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational data models and core data layers that are consumed by downstream users, ensuring high data quality and reliability. We also develop internal data and AI tooling that enables teams across the company to scale their data development workflows efficiently. Our team collaborates with engineering, product, brokerage, crypto, and marketing teams to expand and grow Robinhood's products around the world ! We also partner with Machine Learning teams to build robust training datasets that power intelligent product features. As the Engineering Manager for our Toronto Data Engineering team, you will lead a team of exceptional engineers and drive the execution of key data initiatives. In this role, you will balance technical leadership with people management, dedicating approximately 60% of your time coaching and 40% to hands-on technical contributions, such as code and architecture reviews. You will drive roadmap planning and establish clear goals for the team, particularly as we expand into new mark

PythonAWSMachine LearningArtificial Intelligence
DC
📍 Vancouver, British Columbia, Canada· Full-time
✓ High-confidence listing

From C$250K/yr

Quick readStrong listing-quality and freshness signals

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

PythonJavaAWSAzure
P
📍 Toronto, ON, CA· Full-time
✓ Quality checkedCompany trend -100%

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Client & Mobile Foundations is the Platforms suborg that owns Pinterest's cross-surface client platform and quality stack, the shared Android, iOS, and Web foundations, build and release tooling, and quality systems that let product teams ship experiences faster and more safely. As a Staff Product Manager in the org, you'll set direction across core client architecture and paved paths on each surface; the mobile and client build systems, CI, and release tooling; and client quality and reliability from crash-free user rate (CFUR) and test infrastructure to release health, code coverage, and performance and app-size guardrails. You'll partner with client engineers, infrastructure teams, data scientists, and product leaders to deliver ready-to-use, best-practice foundations and developer experience including pioneering agentic tooling that auto

AWSCI/CDRestAI
R
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -76.2%
Quick readStrong listing-quality and freshness signals

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team of bold thinkers and sharp problem-solvers who are wired to make an impact. The Ops Platform organization develops internal platforms that replace repetitive manual processes with AI-driven systems. These tools support key areas such as Fraud Operations, Account Operations, Financial Crimes Operations, and Retirement Services. The team works closely with product, data science, and operations partners to deliver reliable systems that improve decision-making and efficiency! As a Software Developer, you will design and build platforms that enable operational teams to investigate and resolve issues more quickly and accurately. You will work with large datasets and signals to create tooling that supports fraud investigation and other operational workflows. You will collaborate with data scientists and machine learning engineers to translate manual processes into automated systems. Your work will focus on improving system reliability, reducing operational effort, and increasing the speed at which new products and features can be supported across Robinhood’s offerings. This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do You will define technical direction and make architectural decisions for systems that support operational workflows across multiple product lines You will build tools that proces

AWSMachine LearningAI
R
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -76.2%
Quick readStrong listing-quality and freshness signals

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Software Platform team accelerates developer velocity and increases system reliability by building the foundational platforms and tools that power Robinhood engineering. Within this group, the Kubernetes Compute team focuses on building and operating a highly available, scalable Kubernetes-powered container platform. We ensure that our infrastructure seamlessly supports reliable application deployments, integrates core platform capabilities, and enables multi-region scalability. We are expanding our core container systems to support our next phase of technical growth! As a Software Developer, you will focus on building, maintaining, and scaling our container provisioning platforms. Working alongside senior engineers, you will write code to improve our infrastructure capabilities and actively participate in our technical transition to Amazon EKS. In this role, you will collaborate with teams across the organization to ensure robust platform integrations for everyday application needs like security and networking. Your efforts will directly improve system visibility, automation, and reliability across the platform. This role is based in our Toronto office(s), with in-perso

AWSKubernetesAI
TI
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$136.3K – $273.9K/yr

Quick readStrong listing-quality and freshness signals

TextNow is on a mission to make communications affordable and accessible for everyone. As a full MVNO operating our own mobile core network over LTE and 5G NSA, we have the unique advantage of controlling our network infrastructure end-to-end. We operate the HSS, PGW, and other critical network functions, giving us the flexibility to innovate and deliver exceptional service to millions of users. About the Role Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. T extNow is looking for a new SecOps team member to secure, monitor , and enable automated response within our infrastructure. What You’ll Do Ensure Secure & Reliable Systems: Design, implement, and maintain security-focused infrastructure to protect TextNow’s services while ensuring reliability and scalability. Security Automation & Infrastructure as Code: Develop and enforce best practices using Terraform, Ansible, Crowdstrike , and AWS security tools , ensuring secure configurations, automated compliance checks, and infrastructure as code. Threat Detection & Incident Response: Participate in an on-call rotation to respond to security incidents, investigate vulnerabilities, and implement proactive measures to prevent future threats. Work closely with engineering teams to remediate security risks. Monitoring & Logging for Security: Improve observability by implementing security monitoring solutions, logging best practices, and alerting mechanisms to detect anomalies and suspicious activity. Access Control & Identity Management: Manage IAM roles, permissions, and policies to ensure least privilege access and enforce security controls across cloud and internal systems. Collaboration & Security Advocacy: Wo

AWSCI/CDGitAI
DU
📍 San Francisco, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Team DashMart is a local-fulfillment center owned and operated by DoorDash, offering customers household essentials and other items to their doorsteps with speed, reliability, and quality. Customers order their convenience, grocery, retail, and prepared foods in the DoorDash app, and our team members fulfill orders in a real, brick-and-mortar store for Dashers to deliver. We’re open early and close late - some sites even run 24/7! About the Role DashMart is looking for a motivated and experienced individual that excels in fast-paced, physical environments and is excited to roll up their sleeves and actively engage in day-to-day operations. In this role, you will work within a local fulfillment center supporting Site Management running great shifts, and delegating tasks. As a Shift Lead, you will have shift responsibility for fulfilling orders in a warehouse environment and maintaining inventory, and in some locations, this involves preparing food in a light-prep kitchen. You’re excited about this opportunity because you will… Be an Owner: Take ownership of your assigned shifts, including warehouse and kitchen processes, safety/cleanliness, quality, and training. Maintain accountability for inventory, equipment, and other company assets to ensure they are properly handled, stored, and protected from loss or theft. Delight Customers: Ensure customer orders are delivered with high quality by executing orders accurately, communicating with customers when issues arise, and making sure Dasher pickups go smoothly. Lead: Guide Operations Associates through their shift by ensuring the team works safely and productively and serving as the point of escalation for daily operations. One Team One Fight: Support operations in both the warehouse and kitchen, assist with day-to-day tasks, and lead by example. You will be expected to engage in professional and respectful interactions with team members and customers, ensuring a positive and safe

AWSGitRestAI
JI
📍 San Jose, California, Canada
✓ High-confidence listingCompany trend -100%

$175K – $200.5K/yr

Quick readStrong listing-quality and freshness signals

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. JLL - Senior Engineering Operations Manager (M2) Transform at JLL as a Senior Engineering Operations Manager on a prominent Fortune 500 technology client account! You will lead the hard services delivery at our clients global corporate headquarters. Location: San Jose, CA 95134 Work Schedule: Onsite, M-F ~8:00 AM - 5:00 PM + on call expectation for emergencies Travel Requirements: splitting time between other buildings within a large corporate campus Reports to: Regional Facilities Manager - West Region Estimated base salary range: $175,000 - $200,500 + annual salary bonus What this job involves: The Senior Operations Manager – Engineering Operations is responsible for leading the Engineering Operations program across the clients HQ, including maintenance and repair operations, asset reliability, workforce performance, operational risk, financial management, and technical service delivery. This role provides senior leadership across a large, complex campus environment and works closely with client stakeholders, JLL teams, engineering personnel, vendors, and service partners to ensure reliable facility performance, high-quality maintenance services, protection of critical environments, and strong client satisfaction. What your day-to-day will look like: Pro

Artificial IntelligenceAIRecruitmentCustomer Service
D
10 days ago
📍 Vancouver, Canada
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . About the team Dialpad's Contact Center QA team owns the quality of the AI-driven services behind our customer engagement platform. We validate that complex features like AI Routing, Digital Agents, and real-time Analytics are genuinely enterprise-grade in scale, reliability, and performance. And we go further, working cross-fun

JavaScriptPythonJavaVue
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: Tubi is one of the largest free streaming platforms in the US, serving a large-scale streaming audience across Web, iOS, Android, Roku, Fire TV, Apple TV, and game consoles. Quality at this scale isn't a checkbox — it's a competitive advantage. We're looking for an Automation Engineering Manager to lead the team responsible for building and operating Tubi's multi-platform test automation infrastructure. You will own the strategy, tooling, and execution quality across our client surfaces — from video playback and ad delivery to content discovery and onboarding. This role is for a hands-on technical leader who can set direction, influence cross-functional roadmaps, and stay close enough to the code to guide architecture, review critical implementation decisions, and unblock complex technical issues. You will build a team that ships reliable automation at speed — and you will help the team move toward AI-native automation practices: fluent in AI tooling, proactive about applying it, and disciplined about using it responsibly. This is a hybrid role based out of either our San Francisco or Toronto office. You must be willing to travel to either location at least 2 days a week. What You'll Do: Test Strategy & Quality Planning Define and own Tubi's multi-platform automation strategy — covering Web, iOS, Android, CTV (Roku, Fire TV, Apple TV, Smart TVs, game consoles), and API layers. Establish testing standards, coverage targets, and quality gate policies across the CI/CD pipeline to protect release confidence and production reliability. Design specialized test strategies for business-critical scenarios: video playback (HLS/DASH), ad insertion, content recommendation surfaces, and user authentication flows. Use AI-assisted analysis (e.g., failure pattern clustering, test gap detection) to continuously improve test strategy based on real production signal and defect trends — not gut instinct. Automation Framework & Infrastructure Lead the

JavaScriptTypeScriptPythonJava
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services. This is a hybrid role for our Toronto office. What You'll Do: Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth. Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization. Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence. Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences. Support best practices in experimentation, evaluation, and ML system monitoring. Ensure cost efficiency, scalability, and performance in ML infrastructure investments. Your Background: 10+ years of industry experience spanning machine learning engineering and distributed systems. 3+ years of leadership and management experience, with a proven ability to build and lead strong t

AWSMachine LearningAIGo
🔔

Get new reliability engineer iii jobs in Canada by email

Daily job updates · Unsubscribe anytime