Software Engineer Sensor Platform Manager Manager in Canada

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role For many of our creators, streaming on Twitch is a career, and our payment systems are central to making this possible. We're operating at a massive scale and you'll help millions of creators to earn a living doing what they love. As a key member of the engineering team, you will report to the Senior Engineering Manager of Payments team and have the opportunity to build and scale solutions that affect millions of users and broadcasters. You will take high ownership of your services - architecting, building and operating them. You will partner with other engineers, product managers, designers and data specialists to deliver solutions. Our team is based in San Francisco, CA You Will: Work with technical leads and other engineers to design and develop commerce/payments platform and services Contribute to customer-focused project deliveries Work with other teams to clarify product requirements Improve engineering processes Participate in design and code reviews You Have: Minimum of Bachelor’s degree in Computer Science or prior relevant engineering experiences Strong understanding of data structures, algorithms, data modeling and schema design 1+ years as an software engineer Experience creating detailed technical documentation Proficient experience level in one or more of the fol

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Roblox Vision Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the platform that empowers our community to bring any experience imaginable to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility. Why Join Our Rendering Team? Roblox is seeking an experienced and passionate senior engineering manager to lead a team of talented engineers building cutting edge rendering technology. The rendering team at Roblox is at the heart of how millions of creators and players experience our platform. We are a group that is highly passionate about pushing the boundaries of visuals, scalability and performance. We develop our in-house engine and are in control of our entire technology stack, from the rendering pipeline, the lighting techniques, the material system, the voxel terrain to the VFX system and the server infrastructure. Roblox continues to tackle an unprecedented scal

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

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

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Senior Software Engineer, Cloud Services, you will create scalable, reliable backend systems that support HP IQ's mission to transform the way people work. We value how we work as much as what we deliver. Our journey of continuous learning and evolution requires a flexible and resilient services platform that fosters innovation, experimentation, and adaptation. To enable this, we focus on designs and tools rooted in strong engineering principles like abstraction, composition, virtualization, automation, and iterative development cycles. What You Might Do Design, develop, and maintain backend services and RESTful APIs using Java and Spring Boot. Write clean, efficient, and well-tested code following established best practices. Collaborate with frontend developers, product managers, and other engineers to deliver end-to-end features. Integrate with databases and external services, ensuring performance, security, and reliability. Participate in code reviews, debugging, and performance optimization efforts. Contribute to CI/CD pipelines and support application deployment in cloud and

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. AS A SENIOR SOFTWARE ENGINEER YOU WILL: Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend. Own and deliver features across the notebook service, container runtimes, and UI — designing and shipping medium-to-large projects independently, from ambiguous problem statements through production and post-launch. Advance core platform initiatives such as runtime management and patching, environment reproducibility and replication, security and compliance, and observability for notebooks. Extend the product to operate reliably in regulated and air-gapped environments, where security, compliance, and operational rigor are paramount. Promote strong collaboration within a cross-functional team and partner closely with embedded product managers and designers, as well as platform organizations across Snowflake Be a strong contributor to the product vision and drive team planning. Build for scale, reliability, and high performance, and participate in the on-call rotation to keep a Tier-1 production service healthy. Mentor, coach, and empower more junior team members, and raise the engineering bar through high-quality design and code review. OUR IDEAL CANDIDATE WILL HAVE: 7+ years o

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 Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Applied AI Engineer at Vanta, you will play a crucial role in shaping Vanta’s AI offerings, setting technical strategy, and leading projects that leverage AI to deliver smarter, faster outcomes for our customers. You'll be part of a team integrating AI into the Vanta product, working alongside a multidisciplinary group of product engineers, machine learning engineers, product managers, designers, and security and compliance experts to implement, scale, and maintain AI-enabled product experiences. In this role, you’ll build products that enable Vanta’s customers to leverage AI to accelerate their journey towards compliance, managing risk, and earning trust. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an engineer working on Applied AI at Vanta: Work cross-functionally to design and implement AI-powered features to deliver customer value and integrate LLMs with Vanta’s existing products and systems. You’ll work with other product engineers across Vanta to understand how AI systems can accelerate product adoption at Vanta Instrument evaluations, guardrails, and monitoring, and review customer usage to continually improve quality Collaborate with AI Platform engineers shaping foundational AI systems and tooling that accelerate product teams Make pragmatic tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Mentor engineers, champion good technical and product instincts, and model a collaborative, high-ownership engineering culture How to be successful in this role: At least 7 years of industry experience as a software

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 Driver team is dedicated to fostering a platform of high-quality service by empowering drivers to perform their best. We are looking for a product-minded engineer who wants to build and improve products that sit at the center of the core driver experience. Products you drive will solve pain points that matter most to drivers by streamlining key interactions, reducing friction, and creating systems that feel intuitive, fair, and supportive. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. Responsibilities: Design and implement backend features end-to-end with clear ownership, delivering well-scoped work from technical design through to production with moderate guidance from senior engineers Write clean, reliable, well-tested code that meets team standards and holds up in code review Participate actively in code reviews, giving specific and constructive feedback while continuing to develop your own review instincts Debug and resolve issues across backend services including performance bottlenecks, reliability problems, and data integrity issues Collaborate with product managers, designers, and partner engineering teams to clarify requirements and surface technical constraints early Contribute to technical discussions and help evaluate implementation approaches for new features Write unit and integration tests for your own code and develop familiarity with the team's broader testing and observability practices Address technical debt and make incremental improvements to existing services as part of regular development work Participate in on-call rotations, respond to production incidents, and support teammates in mitigating custome

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 . We are looking for inquisitive, well-rounded Senior Full-Stack and Backend engineers to join our Monetization and Core engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. We have several positions open across multiple teams, including opportunities on both the Product and Platfo

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's App Primitives team owns the shared building blocks that span data structures to UI: comments, notifications, event logs, feature flags, and task management. We own the general infrastructure; product teams own the logic built on top. Getting this layer right unlocks velocity for every team at Vanta. As the Engineering Manager, App Primitives at Vanta, you'll lead the team building the shared product primitives that every Vanta product team depends on, owning the infrastructure layer that makes collaboration, communication, and core workflows possible across the entire platform. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow the App Primitives team, owning hiring, team health, delivery, and the development of senior engineers and technical leads Own the strategy and roadmap for Vanta's shared product primitives: comments infrastructure, notifications platform, event log, feature flag system (Statsig), and task management Define and steward the interface model between App Primitives systems and product teams, ensuring product teams can build on top of shared infrastructure quickly and safely, without owning the underlying systems themselves Partner closely with product engineering leaders across Vanta to surface developer ne

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role: Sentry is expanding our Technical Customer Success team to support our growing customer base and drive deeper adoption of the Sentry Platform worldwide. As a Technical Customer Success Manager (TCSM), you’ll be a Sentry product expert responsible for ensuring customers are successfully onboarded, achieve maximum value from our platform, and uncover new opportunities for growth through additional use cases and products. You’ll play a key role in helping customers realize measurable outcomes with Sentry. In this highly cross-functional role, you’ll collaborate closely with Account Executives (AEs), Sales Engineers (SEs), and Engineering teams to ensure customers’ technical and business goals are met. This role requires strong technical expertise and a deep understanding of the Software Development Life Cycle (SDLC) and related technologies. If you’re a technologist with experience supporting technical products in customer-facing roles—and you’re eager to join a fast-growing team delivering real value through an exceptional product—we’d love to meet you. In this role you will: Become a Sentry product expert and support customers by understanding their needs and helping them achieve their goals using the Sentry Platform. Drive customer success and health through effective onboarding, adoption, value realization, and retention. Collaborate with customer key stakeholders to define business and technical objectives, and work with the customer team to achieve them. Act as a trusted, strategic advisor to each assigned customer—driving best practices, innovation, and long-term success. Partner closely with the sales te

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 Infrastructure builds the systems engineers depend on to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to run cross-functional programs across our infrastructure and data platform teams. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer back into how we build. Responsibilities Run infrastructure programs end to end, from kickoff through delivery Own the roadmap for your platform area: shape the strategy, sequence the work, and make the prioritization calls Drive data platform migration and modernization work, coordinating across engineering, data, and platform teams to keep dependencies and timelines under control Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Build feedback loops with customer teams and turn what you hear into concrete improvements Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background in distributed systems and data infrastructure to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience 5+ years in Technical Program Management or a TPM/PM hybrid role A background in software, data, or systems engineering, enough to go deep with engineers Experience owning a roadmap: setting strategy, prioritizing across competing demands, and defining what suc