Performance And Systems Engineer in Toronto

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 Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

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. Okta enables universal, secure access to technology for every user and organization. The Device Identity and Access team ensures that every endpoint interacting with corporate resources is trusted, healthy, and secure. Our pillar spans four domains: Device Identity, Device Authentication, Device Security Posture, and Endpoint AI Security. We are hiring a Senior Product Manager to drive our Zero Trust Authentication group. In this role, you will lead the core execution, performance, and deployment strategy for Okta’s foundational endpoint products. You will own the operational excellence of Okta Verify , FastPass , and Device Assurance , ensuring that our core passwordless authentication flows and device posture engines remain performant, secure, and incredibly easy for global enterprises to deploy at scale. This is a critical, high-impact role designed for a highly autonomous product manager. You will take on the tactical execution and smaller strategic investments for our endpoint authenticators, acting as the team's operational anchor so that our senior product leaders can continuously expand our strategic frontiers. What you will own You will bridge user experience and deep systems engineering to ensure our core authentication products scale reliably for millions of global users. Core Device Assurance Execution: Own the roadmap for our baseline security posture checks (such as OS version validation, disk encryption, and firewall status). You will m

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services. This is a hybrid role for our Toronto office. What You'll Do: Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth. Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization. Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence. Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences. Support best practices in experimentation, evaluation, and ML system monitoring. Ensure cost efficiency, scalability, and performance in ML infrastructure investments. Your Background: 10+ years of industry experience spanning machine learning engineering and distributed systems. 3+ years of leadership and management experience, with a proven ability to build and lead strong t

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Senior Backend Engineers to join our application teams. You’ll work alongside staff, senior, and early-career engineers to design, build, and scale backend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing You will play an important role in the continued evolution of our application stack. You will design and build backend capabilities for complex product workflows, contribute to system design discussions, and help ensure our systems remain maintainable, reliable, and scalable as we grow. As a Senior Backend Engineer, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the system. You will: Design and build backend services that power complex product workflows. Contribute to d

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are hiring a Business Systems Lead to own the sales technology behind Lyft Ads. As the senior technical owner of the Lyft Ads CRM and commercial systems, you will lead solution design across Salesforce and the connected ad-sales stack and own the architecture for how ad deals move from opportunity through order management and billing. You will work alongside a team of Salesforce engineers and partner closely with Ads Sales, Sales Operations, Ad Operations, Finance, Legal, and the Media engineering teams. This is a hands-on leadership role for someone who knows ad-sales operations and can build the systems that run them. Responsibilities: Own the Salesforce architecture for the ad-sales lifecycle, from lead sourcing and opportunity creation through Order Management System (OMS) integration, contract execution, delivery reconciliation, and billing. Identify problems and opportunities across the Ads sales technology stack and shape them into scoped, funded initiatives. Lead requirements with Ads Sales, Sales Operations, Ad Operations, Finance, and Legal partners, and translate them into functional and technical designs. Own the integrations that connect Salesforce to the ad-sales ecosystem, including order management and contract systems, the ad server, and billing, through middleware such as Workato or Boomi. Drive AI best practices across the Sales Technology team, modeling effective usage and ensuring all AI-generated output meets Lyft's standards for quality, security, and performance. Guide the evolution of the Ads CRM platform, including the media-specific data model (agency, advertiser, and brand hierarchies, insertion orders, and flights) and own the Ad Sales Technology roadmap . Lead contract lifecycle management for Ads, including intake automation and Salesforce integration. Remain h

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 building the next generation of intelligent agents powered by AI. We're seeking a Senior AI Agentic Engineer to lead this transformation across the enterprise. This is a strategic role for someone who can bridge the gap between AI technology and business value, designing and deploying AI-powered workflows that deliver measurable outcomes. You'll work across IT, people operations, marketing, sales, finance, legal, and procurement to architect AI-first solutions that solve complex business problems. Responsibilities: Architect and implement AI agents and intelligent workflows that transforms complex, multi-step business processes and deliver quantifiable business outcomes Partner with business leaders and stakeholders across multiple departments to identify high-impact AI opportunities that align with organizational objectives Elicit requirements from diverse stakeholders and translate complex business problems into technical solutions Build compelling business cases that clearly articulate ROI, implementation costs, benefits, timelines, and strategic alignment Evaluate, recommend, and implement AI solutions that best fit organizational needs and use cases Design solutions with an AI-first approach, ensuring optimal value delivery and user experience Monitor and measure the performance of AI workflows, using data-driven insights to demonstrate value and drive continuous improvement Design and deliver training programs, workshops, office hours, and enablement materials that help teams understand and adopt agentic solution Create frameworks, best practices, templates, and reusable patterns that accelerate AI adoption and ensure consistent quality Build a community of practice around AI and intelligent agents, empowering others to identify opportunities and contribute to the agentic roadmap Act as

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a PCB Power Design Engineer, you will design and optimize power distribution systems for Tenstorrent’s next-generation AI accelerator cards, balancing performance, area, cost, and reliability. You will contribute across the full power design lifecycle, from component selection and simulation through board bring-up, validation, debugging, and production readiness. Working closely with hardware, firmware/software, thermal, mechanical, and validation teams, you will help deliver robust power architectures for high-performance AI systems. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An electrical engineer with experience designing, analyzing, and debugging power distribution systems for high-performance or high-power products. A hands-on engineer who enjoys moving from schematics and simulations into lab bring-up, testing, troubleshooting, and design validation. A systems-oriented collaborator who can work effectively across hardware design, firmware/software, thermal, mechanical, and validation teams. A detail-oriented problem solver who balances electrical performance, power integr

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Join Tenstorrent as a Staff Reliability Engineer and help define the reliability strategy behind the next generation of AI computing systems. In this highly visible technical leadership role, you'll drive reliability from architecture through production, partnering across hardware, software, and manufacturing teams to build high-performance AI platforms that set the standard for uptime, durability, and quality. If you're passionate about solving complex engineering challenges and influencing products at scale, you'll have the opportunity to shape technology powering the future of AI. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You've spent 8+ years in reliability engineering, ideally in high-performance computing, AI hardware, or data center systems. You're comfortable with the statistical side of the job, HALT, HASS, ALT, MTBF, Weibull analysis, and FMEA are all familiar territory. You can work through a technical problem in a thermal lab and then explain the risks and trade-offs clearly to leadership. You're good at bringing people together, mechanical, electrical, thermal, softw

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! Why this role? This role is for people who love building tools for their coworkers. The Internal Applications team creates tools that help us create better models. In this role you will collaborate with internal stakeholders, which include annotators, ML researchers, product managers and more. Join our team of builders who create tooling that will pave the way for the next generation of large language models! As a Full-Stack Software Engineer on the Internal Applications team, you will: Work with a small talented and enthusiastic team of software engineers Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks Identify and remove roadblocks to enable your team to increase its engineering velocity. Build resilient systems that are mission-critical Keep up with the cutting edge and adopt new technologies to improve performance and reliability You may be a good fit if: You have experience shipping products with a large numb

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. Role Overview We are seeking a Senior Software Engineer to build and evolve Okta’s web platform using React and Next.js. In this role, you will bring deep frontend expertise to solve complex engineering problems autonomously from designing scalable page systems and optimizing performance to integrating CMS APIs and refining developer workflows. You work independently on ambiguous problems but thrive in collaboration with designers, content architects, and fellow engineers. AI-assisted development tools are part of how this team works, and you leverage them fluently to move faster while maintaining high standards. This is a hands-on IC role with significant autonomy and real ownership, ideal for an engineer who combines deep technical understanding with strong collaborative instincts. Key Responsibilities Frontend Development & Architecture: Build and maintain reusable page templates, features, and component systems in Next.js using TypeScript and React. Design scalable data-fetching patterns from headless CMS APIs (GraphQL and REST), transforming structured content into polished frontend experiences. Collaborate on content model design with content architects, ensuring CMS data maps cleanly to frontend templates. Implement responsive, accessible, high-performance UI following established design system patterns and propose improvements when existing patterns fall short. Design System Collaboration: Work closely with the design system team to assemble pag

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

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a Firmware Engineer working on microcontrollers and SoCs, focused on low-level C/C++ development and board bring-up. You’ll implement and debug firmware, develop boot/power/reset sequences, and use lab tools to diagnose issues across the hardware–software boundary. You’ll collaborate closely with hardware, board, and system software teams while building strong skills in modern embedded platforms, RTOS/Embedded Linux, and automated testing. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced embedded engineer with a strong foundation in computer engineering, electrical engineering, computer science, or a related field, and a track record of building reliable software for real-world systems. A strong problem solver who enjoys working where software meets hardware and can move comfortably between architecture, implementation, debugging, and system-level thinking. Curious by nature and energized by complex challenges, with a willingness to explore new technologies, development approaches, and AI-assisted tools to make engineering more effective. A thou

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

About the Role: Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation. As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for designing, building, and running the resilient, scalable, and increasingly self-healing systems that power our products. You will apply sound engineering principles to solve our most complex reliability challenges, with a mandate to automate everything, eliminate toil, and write robust, maintainable code. You will be a force multiplier, mentoring other engineers and elevating the site reliability bar for the entire organization. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: System Architecture & Design: Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems. Partner with development teams as a reliability consultant, reviewing designs and influencing architectural decisions to ensure new services are built with reliability, observability, and performance as core principles, not afterthoughts. Automation & Software Development: Write robust, performant, and maintainable code to automate operational tasks, and CI/CD pipelines. Build the internal tools, libraries, and frameworks that enable engineering teams to self-service their

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