Test Production Shift Supervisor in Canada

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 Load and Fault team sits within Robinhood's Developer Infrastructure organization, with a mission to give every engineering team the tools they need to test their services under real-world conditions before those conditions test them in production. We build the platforms and frameworks that enable load testing, fault injection, and resilience validation at scale — treating reliability as a developer productivity problem, not just an operations one. Our work directly raises the quality bar for every service Robinhood ships, and we partner closely with engineering teams across the organization to make resilience testing a seamless part of the development workflow. As a Senior Software Engineer on the Load and Fault Environments team, you will design and build the infrastructure that lets Robinhood's engineers simulate load, inject faults, and validate system behavior under stress — at the scale of a fast-growing financial platform. You'll own meaningful components of the load testing and fault injection platform, write production-quality code, and collaborate with engineers across infrastructure and product teams to ensure the tooling you build gets adopted and drives real

About the Role: Tubi is seeking a highly skilled and experienced Senior QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office three days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks, define test strategies, and ensure testability during requirements and design phases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or reco

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 Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems

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. Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive. The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We're not doing traditional QA - we're building the future of quality engineering. This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization. Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production. We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development. You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for infrastructure engineers to join our team to help improve critical product infrastructure, with a focus on building systems that have a great developer experience and will scale as we grow. We currently have openings on: Asynchronous Serving: The Asynchronous Serving team is scaling critical systems used by Airtable’s most essential and up-and-coming product features, especially AI features. Upcoming projects include refactoring our background task queue to track its tasks in DynamoDB, adding quality of service to the job queue, and revamping a streaming service to handle 10x scale while being more resilient. Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as Overhauling our network stack and service discovery, to simplify service setup and strengthen security Region level disaster recovery, and bringing up compute platform from 0->1 in a new region Building custom Kubernetes operators for reliably managing some of our most critical workloads Developer Platform : The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/CD systems that power our product teams. We strive to streamline developer workflows - from build and test cycles to production deployments—and foster a best-in-class developer experience. Join us if you’re passionate about creating high-lever

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

Vous voulez travailler dans le domaine de la technologie dans une banque d'investissement? Une formation diplômante rémunérée, un soutien continu, des opportunités auprès d'employeurs internationaux de premier plan: le programme pour diplômés de l'Alumni vous offre tout ce dont vous avez besoin. (Et ne vous inquiétez pas, il n'y a pas d'obligation de formation, pas de frais de sortie, pas de pièges cachés). Chez mtrois, nous mettons en relation d'excellents diplômés avec de brillantes entreprises internationales. Nous comptons parmi nos clients des banques d'investissement de premier plan et d'autres organisations dans un large éventail de secteurs, de l'assurance aux soins de santé en passant par les voyages. Ce que vous ferez: Le support de production joue un rôle essentiel dans la technologie d'entreprise, des moteurs de trading algorithmique aux rapports réglementaires. C'est un peu comme les soins de santé pour la technologie. En tant qu'analyste du support de production chez mtrois, vous aurez pour mission commune de veiller sur les systèmes et processus techniques sur lesquels les autres équipes comptent. Comment ça marche: Inscrivez-vous en ligne : Remplissez le formulaire en haut de cette page en incluant votre CV. Complétez le processus d’évaluation: Cela impliquera un appel d’introduction avec un membre de notre équipe de talents, un test de résolution de problèmes en ligne et une entrevue finale. Inscrivez-vous au cours de formation en ligne de 6 semaines à temps plein: Attendez-vous à un mélange d’apprentissage de type cours magistral, de travail de groupe collaboratif, de complétions de projets et d’affectations de développement logiciel individuel. Recevez le soutien dont vous avez besoin: Qu’il s’agisse de webinaires sur des domaines techniques clés avec notre équipe de talents, ou de sessions sans rendez-vous avec nos gestionnaires d’expérience de l’académie, vous serez supportées tout au long de votre processus. Accédez à des carrières avec des emp

Vous voulez travailler dans le domaine de la technologie dans une banque d'investissement? Une formation diplômante rémunérée, un soutien continu, des opportunités auprès d'employeurs internationaux de premier plan: le programme pour diplômés de l'Alumni vous offre tout ce dont vous avez besoin. (Et ne vous inquiétez pas, il n'y a pas d'obligation de formation, pas de frais de sortie, pas de pièges cachés). Chez mtrois, nous mettons en relation d'excellents diplômés avec de brillantes entreprises internationales. Nous comptons parmi nos clients des banques d'investissement de premier plan et d'autres organisations dans un large éventail de secteurs, de l'assurance aux soins de santé en passant par les voyages. Ce que vous ferez: Le support de production joue un rôle essentiel dans la technologie d'entreprise, des moteurs de trading algorithmique aux rapports réglementaires. C'est un peu comme les soins de santé pour la technologie. En tant qu'analyste du support de production chez mtrois, vous aurez pour mission commune de veiller sur les systèmes et processus techniques sur lesquels les autres équipes comptent. Comment ça marche: Inscrivez-vous en ligne : Remplissez le formulaire en haut de cette page en incluant votre CV. Complétez le processus d’évaluation: Cela impliquera un appel d’introduction avec un membre de notre équipe de talents, un test de résolution de problèmes en ligne et une entrevue finale. Inscrivez-vous au cours de formation en ligne de 6 semaines à temps plein: Attendez-vous à un mélange d’apprentissage de type cours magistral, de travail de groupe collaboratif, de complétions de projets et d’affectations de développement logiciel individuel. Recevez le soutien dont vous avez besoin: Qu’il s’agisse de webinaires sur des domaines techniques clés avec notre équipe de talents, ou de sessions sans rendez-vous avec nos gestionnaires d’expérience de l’académie, vous serez supportées tout au long de votre processus. Accédez à des carrières avec des emp

Vous voulez travailler dans le domaine de la technologie dans une banque d'investissement? Formation approfondie pour les diplômés, un soutien continu, des opportunités auprès d'employeurs internationaux de premier plan: le programme pour diplômés de l'Alumni vous offre tout ce dont vous avez besoin. (Et ne vous inquiétez pas, il n'y a pas d'obligation de formation, pas de frais de sortie, pas de pièges cachés). Chez mthree, nous mettons en relation d'excellents diplômés avec de brillantes entreprises internationales. Nous comptons parmi nos clients des banques d'investissement de premier plan et d'autres organisations dans un large éventail de secteurs, de l'assurance aux soins de santé en passant par les voyages. Ce que vous ferez: Le support de production joue un rôle essentiel dans la technologie d'entreprise, des moteurs de trading algorithmique aux rapports réglementaires. C'est un peu comme les soins de santé pour la technologie. En tant qu'analyste du support de production chez mthree, vous aurez pour mission commune de veiller sur les systèmes et processus techniques sur lesquels les autres équipes comptent. Comment ça marche: Inscrivez-vous en ligne : Remplissez le formulaire en haut de cette page en incluant votre CV. Complétez le processus d’évaluation: Cela impliquera un appel d’introduction avec un membre de notre équipe de talents, un test de résolution de problèmes en ligne et une entrevue finale. Inscrivez-vous au cours de formation en ligne à temps plein, d’une durée de 4 à 8 semaines : Développez vos compétences pratiques avec l’aide de votre instructeur. Attendez-vous à un mélange d’apprentissage de type cours magistral, de travail de groupe collaboratif, de réalisations de projets et de missions individuelles en développement logiciel. Recevez le soutien dont vous avez besoin: Qu’il s’agisse de webinaires sur des domaines techniques clés avec notre équipe de talents, ou de sessions sans rendez-vous avec nos gestionnaires d’expérience de l’académ

Vous voulez travailler dans le domaine de la technologie dans une banque d'investissement? Formation approfondie pour les diplomes, un soutien continu, des opportunités auprès d'employeurs internationaux de premier plan: le programme pour diplômés de l'Alumni vous offre tout ce dont vous avez besoin. (Et ne vous inquiétez pas, il n'y a pas d'obligation de formation, pas de frais de sortie, pas de pièges cachés). Chez mthree, nous mettons en relation d'excellents diplômés avec de brillantes entreprises internationales. Nous comptons parmi nos clients des banques d'investissement de premier plan et d'autres organisations dans un large éventail de secteurs, de l'assurance aux soins de santé en passant par les voyages. Ce que vous ferez: Le support de production joue un rôle essentiel dans la technologie d'entreprise, des moteurs de trading algorithmique aux rapports réglementaires. C'est un peu comme les soins de santé pour la technologie. En tant qu'analyste du support de production chez mthree, vous aurez pour mission commune de veiller sur les systèmes et processus techniques sur lesquels les autres équipes comptent. Comment ça marche: Inscrivez-vous en ligne : Remplissez le formulaire en haut de cette page en incluant votre CV. Complétez le processus d’évaluation: Cela impliquera un appel d’introduction avec un membre de notre équipe de talents, un test de résolution de problèmes en ligne et une entrevue finale. Inscrivez-vous au cours de formation en ligne de 9 semaines à temps plein: Attendez-vous à un mélange d’apprentissage de type cours magistral, de travail de groupe collaboratif, de complétions de projets et d’affectations de développement logiciel individuel. Recevez le soutien dont vous avez besoin: Qu’il s’agisse de webinaires sur des domaines techniques clés avec notre équipe de talents, ou de sessions sans rendez-vous avec nos gestionnaires d’expérience de l’académie, vous serez supportées tout au long de votre processus. Accédez à des carrières avec de

Vous voulez travailler dans le domaine de la technologie dans une banque d'investissement? Une formation diplômante rémunérée, un soutien continu, des opportunités auprès d'employeurs internationaux de premier plan: le programme pour diplômés de l'Alumni vous offre tout ce dont vous avez besoin. (Et ne vous inquiétez pas, il n'y a pas d'obligation de formation, pas de frais de sortie, pas de pièges cachés). Chez mtrois, nous mettons en relation d'excellents diplômés avec de brillantes entreprises internationales. Nous comptons parmi nos clients des banques d'investissement de premier plan et d'autres organisations dans un large éventail de secteurs, de l'assurance aux soins de santé en passant par les voyages. Ce que vous ferez: Le support de production joue un rôle essentiel dans la technologie d'entreprise, des moteurs de trading algorithmique aux rapports réglementaires. C'est un peu comme les soins de santé pour la technologie. En tant qu'analyste du support de production chez mtrois, vous aurez pour mission commune de veiller sur les systèmes et processus techniques sur lesquels les autres équipes comptent. Comment ça marche: Inscrivez-vous en ligne : Remplissez le formulaire en haut de cette page en incluant votre CV. Complétez le processus d’évaluation: Cela impliquera un appel d’introduction avec un membre de notre équipe de talents, un test de résolution de problèmes en ligne et une entrevue finale. Inscrivez-vous au cours de formation en ligne de 6 semaines à temps plein: Attendez-vous à un mélange d’apprentissage de type cours magistral, de travail de groupe collaboratif, de complétions de projets et d’affectations de développement logiciel individuel. Recevez le soutien dont vous avez besoin: Qu’il s’agisse de webinaires sur des domaines techniques clés avec notre équipe de talents, ou de sessions sans rendez-vous avec nos gestionnaires d’expérience de l’académie, vous serez supportées tout au long de votre processus. Accédez à des carrières avec des emp

This position is based in Vancouver, BC , within Diligent’s Technical Center of Excellence. We are currently hiring candidates who are based in or able to work from Vancouver . Software Engineer — Platform AI Service Levels: Software Engineer II Senior Software Engineer Staff Software Engineer Location: Vancouver Position Overview As a Software Engineer on Diligent's Platform AI team, you'll help design, build, and operate the core services that power AI-driven capabilities across Diligent's global product suite. You'll build secure, scalable, serverless services on AWS that translate AI research and models into commercial-quality, production-ready solutions — enabling customers to derive insights from their governance data. You'll work closely with AI researchers, product managers, and other engineering teams, owning your services end-to-end: architecture, implementation, deployment, and monitoring. The team operates with a strong AI-augmented engineering culture — using AI tools to accelerate coding, testing, debugging, and delivery — while applying sound judgment about when and how to apply them. Key Responsibilities Design and implement secure, scalable, fault-tolerant, high-performing solutions using AWS serverless technology — event-driven, highly observable, and built with infrastructure as code. Collaborate with AI researchers/engineers to translate AI and LLM capabilities into robust, production-grade services, and help other teams integrate them. Build and maintain the pipelines needed to deploy, monitor, and manage AI services at scale — observable, resilient, and cost-effective. Use AI-powered development tools (code assistants, test generation, architecture exploration) responsibly to accelerate delivery and improve quality, always validating outputs. Participate in architecture discussions and design reviews, and contribute to product design by understanding customer problems — especially where AI can offer a breakthrough solution. Work in

About the Team The Code Quality team sits within the Developer Platform organization and owns the systems that keep DoorDash's codebase healthy and secure as it scales: static analysis, quality gates, test frameworks, regression infrastructure, and tooling. Our job is to make sure the signals engineers rely on before shipping — test results, coverage, performance feedback etc — are fast and trustworthy. The decisions we make about tooling and standards directly shape how confidently and quickly engineering teams at DoorDash can ship to production. About the Role We're looking for Software Engineers to help build and maintain the systems that validate code quality across DoorDash's engineering org, treating our tooling as a critical product for the engineers who rely on it every day: static analysis and quality gates, test frameworks and regression infrastructure. You’ll design the tooling and automation that will help derive trustworthy quality signals, integrate them into the development lifecycle, and make it easy for engineers to execute reliable, repeatable workflows. You will collaborate across the engineering org, partnering directly with the teams who use what you build to understand the accuracy, reliability and performance of their functionality. You will report into the Engineering Manager on our Code Quality team in our Developer Platform organization. You must be located in either San Francisco, CA, Sunnyvale, CA, Los Angeles, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Build and maintain quality tooling — static analysis, quality gates, coverage reporting, test frameworks, regression infrastructure — and integrate it directly into our developer workflows and CI/CD pipelines Define and derive quality signals - flakiness, pass rate, coverage, performance, scale readiness etc - Build tooling that improves everyday engineering workflows, including local development, CI/CD, debugging, and rollou

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. Lyft’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo

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 Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han