Experienced Quality Assurance Specialist in Canada

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Are you passionate about engineering quality, performance, and increasing the impact of engineers around you? Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As an intern within Palantir’s Foundations organization, you’ll have the opportunity to grow more quickly than you ever imagined, as you build the shared infrastructure that underpins the Palantir Foundry, Palantir Gotham, and Palantir Apollo platforms, and drive investments to improve the velocity and quality of our engineering. Teams within Palantir’s Foundations organization are made up of a small number of engineers, each focused on one of four major categories of our infrastructure: • Backend Infrastructure: Maximizes the productivity of our backend developers and ensures Palantir’s platforms have performant and consistent RESTful services. Think: making the “easy way” the “right way” when developing backend services, including designing infrastructure to build hundreds of micro-service repos performantly, or to ensure we keep reliable audit logs of everything users do in our platforms. • Developer Infrastructure: Operates the systems and services that underpin all aspects of our developer ecosystem, including off-the-shelf tooling like GitHub and custom tooling for managing automated changes across hundreds of repositories. • Frontend Infrastructure: Maximizes frontend developer productivity across the entire frontend development stack, from the developer experience in the IDE to the final user experience in the browser. Think: the core infrastructure required to develop and serve our frontends (including features flags, inter

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Defense Tech Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir's Gotham product. Palantir's defense product vertical builds mission-critical products for the modern warfighter, enabling them to securely integrate and visualize their data, perform rich analyses, and build sophisticated, full-fledged programs such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. Our customers use our defense offering to drive core operations within their organizations - these programs are relied upon for daily operations in the command centers and battlefronts of militaries across the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds geospatial mapping tools for mission critical operations, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product. Core Responsibilities As a Defense Tech Intern - you will be supporting work specifically focusing on delivering our Palantir Defense capabilities to our most critical mission partners. You’ll be involved throughout the product lifecycle - from idea generation, design, and prototyping to execution and shipping. You’ll be paired with a mentor

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Are you passionate about engineering quality, performance, and increasing the impact of engineers around you? Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As an engineer within Palantir’s Foundations organization, you’ll have the opportunity to grow more quickly than you ever imagined, as you build the shared infrastructure that underpins the Palantir Foundry, Palantir Gotham, and Palantir Apollo platforms, and drive investments to improve the velocity and quality of our engineering. Teams within Palantir’s Foundations organization are made up of a small number of engineers, each focused on one of four major categories of our infrastructure: • Backend Infrastructure: Maximizes the productivity of our backend developers and ensures Palantir’s platforms have performant and consistent RESTful services. Think: making the “easy way” the “right way” when developing backend services, including designing infrastructure to build hundreds of micro-service repos performantly, or to ensure we keep reliable audit logs of everything users do in our platforms. • Developer Infrastructure: Operates the systems and services that underpin all aspects of our developer ecosystem, including off-the-shelf tooling like GitHub and custom tooling for managing automated changes across hundreds of repositories. • Frontend Infrastructure: Maximizes frontend developer productivity across the entire frontend development stack, from the developer experience in the IDE to the final user experience in the browser. Think: the core infrastructure required to develop and serve our frontends (including features flags, int

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organizations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping to execution and shipping while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SWE

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team When GoDaddy's customers are considering a new venture, it often starts with a name. The Search Results team (SERP) plays a key role in that mission by building the discovery experience that helps customers find the right domain name and products for their idea. We're a small team that moves quickly, holds a high bar for craft, and ships work that impacts millions of customers. We’re looking for a Senior Software Engineer to help shape our search and discovery experiences. This is a hands-on individual contributor role. You’ll lead by example through the quality of your code, the decisions you make, and the way you help others succeed. You’ll have opportunities to lead projects, influence technical direction, mentor peers, and speak up when you see a better path. What you'll get to do... Build and ship frontend experiences that help customers find the right domain, including match quality, smart alternatives, favorites, and AI-enabled experiences Lead projects from problem definition through technical design, implementation, launch, measurement, and production ownership Improve how the team ships by building internal tools, automation, and reusable engineering patterns Your experience should include... 7+ years of professional software development experience Strong proficiency building modern web applications with React, JavaScript, and Node.js Practical experience with deployment, CI/CD, observability, and production ownership Experience using AI-assisted development tools such as Claude Code, Cursor, Copilot, or similar tools wi

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Software Engineer at Nextdoor, you’ll join a focused team of developers, product managers, and designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. We are a small, high performing team of engineers that wear multiple hats and prioritize impact for our customers. We care about moving fast and delivering impact, without compromising on quality and reliability as guided by our Engineering Principles . You will have the opportunity to learn from your co-workers and teach them. As a team, we will make each other better and build great software. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you’ll get the opportunity to make key contributions across our engineering stack - thi

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 . With more than 535 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,500 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. The Content Shopping Mining ML team builds machine learning systems that understand shopping-related content across the web, turning unstructured merchant pages into high-quality structured product data like price, title, availability, and images. This helps improve product experiences on Pinterest, including content quality, distribution, recommendations, and search; for example, see the team’s KDD 2025 paper,&

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 is looking for a Design Systems Manager to join Design Foundations, the infrastructure layer of Lyft's design organization. Design Systems at Lyft is an integral part of the overall user experience. Our design system spans product surfaces, marketing, and brand, officially known as the Lyft Product Language (LPL) and shipped directly to code. You'll own the craft and execution of that system, partner closely with design, engineering, and marketing, and lead Design systems work through a period of active global growth and capability expansion. This role reports to the Director of Design Foundations and works alongside a dedicated DPM and Engineering managers, and a tight-knit team of design systems practitioners. Responsibilities: Strategy & Vision Set the strategy and roadmap for Lyft Product Language (LPL) across product, marketing, and brand surfaces, in partnership with the Director of Design Foundations and engineering leadership and the Design Systems team Lead the AI transformation of the system: integrate AI into LPL tooling, adoption workflows, and the day-to-day designer experience at Lyft Represent Design Systems in reviews and other senior leadership forums People & Craft Manage and develop a team of design systems designers and illustrators working across iOS, Android, web, and brand Hold the quality bar for system-wide design: cross-platform coherence, accessibility (WCAG), road safety, localization, and brand consistency. Coach the team on making educated tradeoffs between flexibility, coherency, usability, and efficiency Execution & Partnership Partner closely with the Design Systems DPM and engineering managers to maintain system health, sequence work, and unblock teams Own the LPL component contribution and review process end-to-end, from intake through release Commu

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 is seeking a Financial Analyst on our Corporate FP&A team, focused on consolidated P&L reporting, financial forecasting, and data quality across the team's core reporting processes. The ideal candidate will bring natural curiosity, financial rigor, and an exceptional eye for detail to the team, driving accurate, timely financial analysis in support of strategic decision making at Lyft. Responsibilities: Own recurring data management processes that support team-wide reporting and forecasting, with a strong focus on data accuracy and integrity Own consolidated P&L reporting, ensuring timely and accurate updates Perform thorough quality checks on financial data and reporting outputs, catching and resolving issues before they reach stakeholders Support financial forecasting and reporting cycles, including scenario analysis to help inform business decisions Support reporting and variance analysis for specific areas of the business, partnering closely with business stakeholders Partner with finance systems teams to support data governance and process improvements Serve as a point person for ad hoc analysis and special projects Identify and drive opportunities to improve reporting and planning processes Experience: Bachelor's degree in Finance, Accounting, Economics, or a related field, or equivalent practical experience 3-5+ years of experience in financial planning and analysis, ideally within a corporate finance or consolidations environment Exceptional attention to detail with a strong quality-control mindset — able to catch and resolve data or formatting issues before deliverables go out Working knowledge across all three core financial statements (P&L, Cash Flow, and Balance Sheet) Proficiency in Gsheets/Excel for financial modeling and data management Proficiency in Google Slides

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 Core Rider team is responsible for the Lyft consumer app you know and love. This team spans the entire consumer journey across the request and purchase flows, search, pickups and dropoffs, the post-match experience, and the in-trip experience. We're looking for a Product Design Manager to lead design for this journey, and to manage a team of designers who own both the long-term vision for that experience and the day-to-day craft and quality that keeps it coherent as the app scales. This is the core of the Lyft rider experience, used by millions of people every day, and the foundation that every other part of the Rider org builds on top of. Your team's work needs to hold up everywhere, from the simplest suburban home to JFK Airport, and across every mode of transportation, rideshare, autonomous vehicles, and beyond. This role sits at the center of Rider Design, managing a team of designers responsible for the core journey and the platform work that supports it. You'll partner closely with a Staff Product Manager and cross-functional engineering leads to set direction for the experience, and you'll manage the execution layer that makes that direction real: migrations, AI-native tooling adoption, and the design standards that keep the journey consistent as it extends to serve AVs and targeted rider segments. You'll balance long-range vision with the discipline of shipping reliably, and you'll be the person who ensures craft quality holds across a broad, high-traffic surface. Responsibilities: Own the design vision and roadmap for the core rider journey Manage and develop a team of product designers, setting cle

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. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see th

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 an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

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

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 Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

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. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. Responsibilities: Help define the roadmap and architecture based on technology and business needs Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Lead projects of multiple people from idea to positive execution Write clear, scalable and clear design documentation 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 Proactively participate in resolving ongoing incidents Share your kno