Engineer 3 in Toronto

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Solutions Engineer, Okta (Canada) Secure Every Identity, from Human to AI Agent About the Role At Okta, we believe that identity is the foundation of security and digital transformation. As a Senior Solutions Engineer, you will be the trusted technical advisor to our largest, most complex enterprise customers and a critical driver of our sales organization. We are looking for a highly strategic Pre-Sales professional whose consultative expertise, emotional intelligence, and enterprise sales acumen are their defining strengths. While technical agility is required, your primary focus will be owning the technical sales cycle by anchoring technical features to positive business outcomes. You will partner closely with Account Executives to uncover top-of-mind business challenges—specifically around mitigating risk, reducing costs, and driving operational efficiency. By establishing value-based conversations, you will prove how Okta’s independent, neutral, and end-to-end identity platform can transform their architecture and secure the "Tech Win" on large-scale deals. What You'll Be Doing Master the Discovery Process: Leverage exceptional active listening to dig deep into customer pain points. You will uncover the 'why' behind the initiative, focusing on how Okta's vast pre-built integrations and scalable architecture can solve their most complex, diverse environmental challenges. Navigate Complex Organizations: Translate highly technical concepts into cle

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 highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for a Software Engineer II to join the Auth0 Security Engineering organization. You'll help build and maintain the security guardrails for our multi-cloud environment, implementing security and compliance standards as programmatic, code-driven policies. What You Will Do Cloud Security Controls: Implement and maintain organization-wide controls (SCPs, Azure Policy) balancing protection with developer experience. Identity & Access Management (IAM): Build and update templates and permission boundaries that govern how services and humans interact with our cloud, applying the principle of least privilege. Infrastructure & Network Security: Contribute to the security standards for VPC architecture, edge networking, and cross-account connectivity. System Design: Help build systems and processes that validate the security posture of the platform, enforcing our security policies and surfacing actionable feedback for engineering teams. Growth & Collaboration: Partner with teammates across the organization, share what you learn, and continually deepen your security expertise. What You Bring Cloud & Infrastructure Experience: 3+ years of experience in software engineering or information security, with hands-on exposure to cloud-native environments, Kubernetes (EKS, AKS), and cloud security concepts. Policy & Automation: Experience building or maintaining automated controls and infrastructure-as-code, ideally within Terraform workflows

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Strong knowledge of CS fundamentals Excellent communication skills Passion for community, sustainability, and/or transportation Ability to thrive in a startup environment Experience with real-time technology problems Contributions to open source projects Experience working with databases Experience solving real-time technology problems Experience with mobile development Benefits: Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off Subsidized commuter benefits and Lyft ride credi

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science or related major from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required) . For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for an internship in Toronto Strong knowledge of CS fundamentals Knowledge of SQL and data modeling fundamentals Experience working with databases Excellent communication skills Interest in solving large scale data problems in a real world scenario Passion for community, sustainability, and/or transportation Benefits: Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off Subsidized commuter benefits and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft belie

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are looking for experienced backend software engineers to join our claims tech engineering team. Our vision is to tangibly reduce risk on the Lyft platform, and by extension reduce insurance cost. Our team is dedicated to centralizing the entire claims operation onto a unified risk platform. This consolidation of data, workflows, and communications aims to foster proactive measures, enhance efficiency, ensure consistency, and provide valuable insights. These efforts are designed to effectively reduce claims costs as Lyft's operations expand. Additionally, our team is responsible for maintaining robust relationships with our third-party insurance partners, guaranteeing timely, proactive, and precise sharing of claim data. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Own feature from product spec to successful high quality development, deployment and maintenance Participate in code reviews to ensure code quality and distribute knowledge Respond to external questions and requests. Unblock, support and communicate with stakeholders to achieve results Experience: 3+ years of relevant professional experience Experience with object-oriented programming Experience in distributed systems Experience working with databases, relational or NoSQL Write clear, scalable and clear design documentation Design, build and improve a set of team owned components Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan with company match to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows

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 Tokenization team's mission is to bring both public and private equity to be tradable 24/7 on decentralized exchanges (DEXs) across the Robinhood Chain. We work at the intersection of blockchain technology, financial market infrastructure, and modern distributed systems - with a focus on accessibility, security, and scalability. Equity markets have been closed nights and weekends for a century; we're building the infrastructure that changes that. As a Software Engineer , you'll build and own backend services that make tokenized equities work end to end - issuance, custody, and settlement on-chain, kept in sync with traditional brokerage and ledger systems. You'll ship product-facing features and platform capabilities in a domain where correctness is non-negotiable - the systems you build move real customer assets, continuously, around the clock. This role is based in our Toronto, ON office(s), 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-perfor

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Backend Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Extensive experience in object oriented programming, ideally in GoLang or Python Experience in backend software development of distributed systems and concurrency Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family bui

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Fulfillment group, in Marketplace, at Lyft is responsible for determining what inventory can be reliably offered for a given rider session and reliably fulfilling rider requests. The group has a few sub teams that are responsible for generating feasible offers for riders, connecting rider requests with drivers to fulfill those offers and a demand and supply lifecycle platform that power great rideshare experience. As a software engineer at Lyft, you'll collaborate with other software engineers and cross functions like product, data science and analytics to lead and execute large projects from idea to efficient execution. We're looking for a motivated Software Engineer who is passionate about solving challenging technical problems and is excited about working in a fast-paced, innovative and cross-functional environment where they will take on some of the most interesting and impactful problems in ridesharing. Responsibilities: Contribute to the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various trade offs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Build Features from tech specification to positive execution Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags and tech talks Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Proficiency in object-oriented programming Experience designing, debugging and running fault-tolerant, highly available, large-scale di

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. To fulfill Lyft’s mission of creating the real-time transportation network of the future, Lyft needs engineers from a scope of disciplines. We need engineers to help us intelligently scale our backend infrastructure, to increase pricing in real time given localized supply and demand data, to predict future localized demand, to create delightful and intuitive UX flows for passengers and drivers, to improve our cloud infrastructure orchestration and monitoring, to increase dispatched driver-passenger pairings based on real-time data and real-world edge cases, to build tools to increase the efficiency of our customer service team, and more. You're an enthusiastic and experienced app developer looking to take your skills to the next level by joining our iOS team. You’re excited about scaling millions of lines of Swift code and hundreds of mobile developers. Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases. Our codebase is written entirely in Swift with modern design patterns and coding standards. We rely on 3rd party libraries and contribute back to the community (including the Swift language itself). Responsibilities Help establish roadmap and architecture based on technology and our needs Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Performing thoughtful code reviews for colleagues, and help others by conducting high-quality code reviews Participate in hiring activities: take part in technical interviews, live coding, share detailed feedback to hir

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. At Robinhood, Quality Engineering (QE) is a critical function within our broader engineering organization. We serve as the final line of defense for product quality—empowering teams to ship confidently by embedding robust test strategies, running critical end-to-end checks, and maintaining automation systems that scale with our product velocity. Our mission is to uphold a high bar for customer experience, especially during P0 launches, through a mix of technical expertise, test execution, and cross-functional collaboration. As a Quality Engineer, you will support high-impact product launches by designing test strategies, executing manual and automated testing, and partnering with our contractor team on regression test cycles. This role requires someone who thrives in fast-paced environments, cares deeply about the customer experience, and is eager to shape the test infrastructure behind Robinhood’s iOS, Android, and Web apps. This role is based in our Toronto 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 experienc

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Frontend Software Engineer on the Operator Core Tooling pod, you'll play a vital role in building the robust services that power our critical operations tooling platform. Your work will directly empower our micromobility operations teams by providing them with intuitive and efficient tools, significantly improving their daily workflows as they manage our fleet. You'll collaborate closely with business leaders, front-end developers, and data scientists across Lyft to achieve this impact. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices See the direct impact of your work on the efficiency of our operating teams Experience: 3+ years of software engineering industry Advanced knowledge of JavaScript Experience working with modern JavaScript frameworks, like React Experience working with NodeJS and Express applications Experience working with design systems (e.g. Bootstrap, Salesforce Lightning, GitHub Primer) Good understanding of web performance and how browsers and DOM work Experience with unit, integration, and end-to-end testing Experience designing, building and improving a set of team owned components Culture of investigating and solvin

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale. We are looking for a software engineer to join our fast-growing team with a focus on scalability, reliability, and enhancing the core building blocks of the product. In this role you will: Be deeply involved in evolving the core architecture of PAM. Work in our product development teams to build scalable, composable components of our platform. Be responsible for designing and implementing scalable architecture patterns. Delight our customers by providing world class UX using our React-based design system Design and build APIs that customers rely on for access to production infrastructure. Work on backend components written in Go and frontend components written in React. You might be a good fit if you: Have 3-5 years of software development experience with a background in Golang or similar programming languages. Proficient in React or similar front-end UI stacks. Experienced working with relational databases like PostgreSQL or similar RDBMS technologies. have the ability to complete a feature end to end from designing database models to backend APIs and frontend UI components. Experienced working with any cloud provider such as AWS, GCP or Azure. Thrive in a collaborativ

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for an experienced Staff Software Engineer in Test to join our Identity Management Engineering (IDM) team serving the Privileged Access Team (PAM). This team is passionate about delivering large-scale, mission-critical software in a fast-paced Agile environment. In this role you'll be working with a team of highly-skilled and talented engineers, responsible for delivering sophisticated backend solutions that help Okta reliably operate at large scale and be highly available. As part of the team, you’ll be ensuring projects are completed with the highest quality and reliability using automation at every level for fast, robust and secure releases. Job Duties and Responsibilities: Review requirements and design specs to develop relative test plans and test cases Automate API tests, end-to-end tests, reliability/scale tests Work with engineering management to scope and plan engineering efforts Communicate and document QE plans for scrum teams to review Review application code, identify bug and other areas of weakness, architect tools for future coverage Automate all critical features to maintain zero-debt cadence Release features with solid quality Respond to production issues/alerts and customer issues during on-call rotation Be a strong customer advocate with a strong quality DNA. Requirements: 5+ years of QE experience preferably in an enterprise SaaS company 3+ years experience in quality engineering for enterprise level software. 5+ yea

About the Role: We're hiring Senior and Staff Data Platform Engineers to join the Data Infrastructure teams in Toronto. Together these teams own the infrastructure that processes billions of events per day: Spark-on-Kubernetes, Flink and Kinesis pipelines, a multi-petabyte Delta Lake, a large-scale MemoryDB feature store, Databricks multi-environment operations, and the catalog and lifecycle systems that govern it. The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production. This is a hybrid-role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Spark-on-Kubernetes — EKS-based compute platform for Spark workloads: cluster configuration, Pod Identity IAM, job environment setup, Kustomize overlays, and shadow canary validation Event ingestion — Rust services and Flink jobs processing billions of events per day over Kinesis; throughput, reliability, on-call response, and AI-assisted operational tooling to reduce toil Platform infrastructure — Terraform modules for environment provisioning, cross-account AWS IAM, ARC runner infrastructure, and CI/CD for data platform changes Feature store and ML compute — Flink-based real-time feature pipelines feeding a large-scale MemoryDB cluster; GPU capacity governance and Databricks multi-environment operations for ML training workloads Workflow orchestration and CDC — Airflow-based DAG deployment, change data capture pipeline operations, and data quality monitoring Your Background: 3+ years building and operating production data platform infrastructure at the cluster or platform level, across Spark, Flink, Kinesis, Kubernetes, or equivalent Deep experience in at least one of: Spark-on-K8s cluster operations, Rust-based data or systems engineering, Kubernetes platform engineering and IaC, or data catalog and governance tooling Production AWS experience or equivalent: EKS, S3, Kinesis, and mu