Ai Platform Engineer in Canada

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. About our Customer Platform team: Our Customer Platform Team plays a pivotal role in integrating our platform with external systems and ensuring seamless, reliable connectivity for both internal users and customers. As the leader of this team, you’ll drive the strategy, architecture, and development of our connectivity solutions, focusing on API integration, distributed systems, and a robust data platform. Your role will be crucial in maintaining and enhancing our platform’s ability to meet the needs of both our internal and external stakeholders. Responsibilities: Own large areas within our product Comfortable working cross functionally, whether that be internal or external customers Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 7-10 years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Abil

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 team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. About the role As a Senior Software Engineer, you will architect and scale the core systems that power Sentry's billing infrastructure, ensuring accuracy and reliability at massive scale. You will collaborate on building the next generation of Sentry’s usage tracking pipeline, processing hundreds of billions of events daily with low latency and financial-grade accuracy. You will help design flexible pricing primitives that support everything from per-event usage billing to complex enterprise contracts, enabling product and sales teams to experiment rapidly while maintaining revenue accuracy and reduced time-to-market for new products. You will contribute to technical decisions on data consistency challenges unique to billing—like handling event delays, retroactive pricing changes, and distributed count reconciliation across our infrastructure. You'll love this job if you Want to solve the "easy to explain, hard to build" problems—like ensuring a customer's bill matches their usage perfectly, even when processing hundreds of billions of events daily across distributed

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role We're looking for an Engineering Manager to lead our Deployment Engineering team in North America. This isn't a typical management role - we need someone who thrives in a fast-paced, high-growth environment and leads from the front: technically sharp, hands-on, and relentlessly focused on impact. You'll manage a team of Forward Deployed Engineers on the front lines of building agentic solutions with Cohere's North platform, balancing technical excellence with the kind of team leadership that actually moves things forward. You'll be solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. What You'll Do Lead and mentor a team of Forward Deployed Engineers focused on building agentic solutions with North in on-premises environments. Take ownership of customer success from technical implementation through delivery. Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises. Build relationships with technical stakeholders on the customer end. Foster a culture of continuous improvement and innovation, focusing

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. Where you’ll work This role will be based in our Vancouver Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! What you’ll do This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, q

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. As a Staff Android Engineer, on the Rider App group in the Rider org, you will work on one of Lyft’s most critical Rider flows. The Rider App group is responsible not only for the critical flows in the app but also the app platform and quality. We build and iterate on rider facing products that not only ensure a seamless experience for our riders, but also aim to build and deepen Rider-Lyft relationships. As an experienced app developer you will be solving complex problems, delivering significant impact and ensuring excellence for the Rider Android team. This means excellent development practices, scalable and reliable code architecture, and safe, rapid releases. You will not only influence the architecture, platform, processes but also influence the culture and coach, guide engineers across the group. Responsibilities: Work across our product teams to design, build, and release exciting features and products in the Lyft Rider application, used by millions of people every day Define long term roadmap and architecture based on technology and our needs Oversee major changes to our Android architecture Work with Product Managers, Designers, and other Engineers to deliver best in class user experience and collaborate closely with local and global colleagues Continuously discover, evaluate and implement new technologies to maximize developer efficiency Mentor and support other developers on your team with code reviews, design feedback, and advice and guidance Solve complex real-time data transfer and synchronization issues Implement pixel perfect designs with advanced interactions, which are a joy to use Experience: 6+ years of experience as an Android developer Experience with leading a technical team is a bonus Advanced knowledge of Java and Kotlin Familiarity with RxJav

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. Get to know the team The Developer Platform team at Auth0 (an Okta company) owns the surfaces developers use to build with Auth0 - APIs, SDKs, CLIs, and the tooling that shapes how developers experience identity. Software is increasingly built by developers working alongside AI agents, and that shift raises the bar on every interface we ship: APIs have to be consumable by agents, tools have to be discoverable, and our platform has to hold up when an agent - not just a person, is the one calling it. We're looking for an engineer who already builds with those skills. We move fast, we own problems end-to-end, and we care deeply about the developer experience we put in front of people. The opportunity We're hiring a Staff Software Engineer to build the platform surfaces that developers and AI agents use to configure, extend, and interact with Auth0. You'll work at the intersection of API platform design, developer tooling, and emerging standards like MCP (Model Context Protocol). You'll take on ambiguous, high-leverage problems alongside a group of strong senior and staff engineers, and you'll have real influence over how our platform is built for a world where agents are first-class consumers. What you'll be doing Design and build developer-facing platform surfaces - APIs, MCP tools, CLI integrations, that hold up whether the caller is a developer or an agent Own technical direction for key platform surfaces that make Auth0 consumable by agents Drive cross-cut

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking for someone who gets excited about building data infrastructure at massive scale and cares deeply about the gaming communities we serve. Someone with passion for building lovable products for Discord users and Discord engineers. We're building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of Staff Engineer who sees ambiguity as an invitation — who builds systems that make whole teams faster, shapes technical strategy across the org, and wants your decisions to directly impact millions of gamers worldwide — we want to talk to you. To learn more about Discord's Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools! This position is based in our San Francisco office. What You'll Be Doing Own the technical direction of major Data Platform initiatives like GRC, scaling, or stream processing, from problem to production system and post-launch health Be a force multiplier: build reusable primitives, unblock teammates, and raise the quality bar across the team Stay a top code contributor. You write real production code while helping others reach the same bar Partner with XFN stakeholders to translate business problems into clear technical strategy Champion debate, decide, and commit and 80/20 thinking to drive robust technical solutions supporting multiple team What you should have 7+ years of software engineering experience with a track record of driving large, ambiguous technical initiatives end-to-end Expertise in distributed systems and data infrastructu

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 Twitch Security Platform builds and operates the technology at the intersection of security, privacy, software engineering, and data engineering. As a Senior Engineering Manager, Security Platform, you will guide a diverse group of software engineers to build critical tools and automation solutions used across Twitch. You will report to the Director of Security, Identity, and Privacy Platforms. You will manage engineers responsible for operating our security data platform handling billions of weekly events, a multi-petabyte data lake, and numerous analysis tools that provide critical data across the organization to support important security programs. You will also lead engineers responsible for writing software to accomplish security at scale through automation, libraries, and services. With this team, you will lead the full software development lifecycle from product discovery, roadmap prioritization, and execution. Programs you support will include Fraud, Service-to-Service Auth, Detection and Incident Response, Vulnerability Management, Engineering Intelligence, and Privacy. You are experienced in software and data engineering, you bring awareness of the industry's cutting edge, and you're passionate about security. If this sounds accurate, come join us! You can work from San Francisc

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 HP IQ's AI Machine Learning (AML) team is building the foundational platform powering a new generation of agentic devices. This platform orchestrates the complete lifecycle of AI models: from creation and fine-tuning through optimized inference and intelligent orchestration. The team works to make complex AI capabilities run efficiently on-device, enabling locally-deployed agentic experiences that reduce token costs and improve privacy. In this internship role, you will contribute to one or more core pillars of the AML platform: model inference optimization, orchestration and agent workflows, or model creation and fine-tuning. You will partner closely with experienced engineers to ship features that directly impact HP's next-generation devices and gain visibility into how each component of an end-to-end AI system integrates and scales. What You Might Do Work on model hosting and inference optimization, learning how to profile, benchmark, and accelerate model execution on resource-constrained devices; experiment with quantization, distillation, or other optimization techniques to reduc

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 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 Software Engineer on Spark Platform, you will execute across the surfaces of our in-house Spark deployment that serves the entire company. The work spans Spark runtime upgrades and performance, multi-tenant scheduling and executor bin-packing on Kubernetes, cluster lifecycle automation, and the observability and incident automation that keep the platform sustainable. You will move between layers as the work demands — picking up the next high-leverage problem regardless of where it sits — and partner closely with the rest of the team and with platform consumers across the company. 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… Build and operate an in-house Spark platform that runs at company-wide scale, spanning runtime, scheduler, reliability, and user-facing tooling. Drive multi-tenant scheduling, executor bin-packing, and cost-aware placement that let a small team serve dozens of consumer teams. Own pieces of cluster lifecycle automation — provisioning, upgrades, capacity changes, and node-failure handling — at a scale where these stop being manual events. Build the observability and incident automation that make the platform debuggable end-to-end and keep on-call sus

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. We are looking for a Senior Software Engineer to join our Product Platform org - the group that powers product development across Vanta by building the shared foundations that every engineering team builds on top of. This hire will join one of two closely-aligned teams within the org, each working on foundational challenges with company-wide impact. Application Primitives is responsible for the shared, customer-facing platform components that product teams implement across the product: examples include comments, notifications platform, event log infrastructure, and agentic audit trails. This team sits at the intersection of platform and product - not pure infrastructure, not pure product - building the reusable building blocks that let other teams ship faster and more consistently. Libraries & Foundations is a brand-new team that owns Vanta's internal engineering libraries and golden-path patterns. Sitting between core platform and product platform in the stack, this team builds the TypeScript-first abstractions and shared foundations that all Vanta engineers build on top of - including event-driven architecture libraries, code quality tooling, and test frameworks. You'll be evaluated for both teams based on your background and interests, and the decision on team placement will reflect where your skills and passions are the strongest fit. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Software Engineer, Product Platform at Vanta: Design and build high-quality, scalable systems and shared libraries that multiple engineering teams depend on - whether that's shared

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 the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity. Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds. Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build. Responsibilities: Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management,

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 Team Twitch Security Platform builds and operates the foundational software, data, and automation that enable security at scale across Twitch. As a Software Development Engineer II (SDE II) on the Security Platform team, you will design, build, and operate critical services, pipelines, and tooling that power Twitch's security, privacy, and compliance programs. About the Role Twitch Security Platform builds and operates the foundational software, data, and automation that enable security at scale across Twitch. As a Software Development Engineer II (SDE II) on the Security Platform team, you will design, build, and operate critical services, pipelines, and tooling that power Twitch's security, privacy, and compliance programs. In this role, you will work at the intersection of software, security, privacy, and data engineering, contributing production systems that handle large-scale security telemetry, automate security workflows, and provide reliable data and services to internal teams. You will partner closely with engineers and product teams to solve real-world security problems through well-designed software. You will own projects end-to-end from design and implementation through deployment and operational support for the systems that are business-critical and highly visible. The problems yo

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 The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa