Trade Operations 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. Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. 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. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Senior Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution Analyze our internal systems and processes and locate areas for improvement/automation Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Provide technical mentorship and feedback to junior engineers Help establish roadmap and architecture based on technology and our needs Experience: B

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 software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly, while focusing on delighting our passengers and drivers. The Applied AI team is looking for a senior software Engineer to join the Recommendations team. You will build the backend systems that decide what we surface to riders. You will architect the pipelines and services that turn rider context and signals into the right offer at the right moment, driving a measurable impact on rider experience. Responsibilities: Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence Drive high-impact projects and innovate new solutions to deliver the best user experience Produce and drive scalable system design for large, complex features — from idea through execution and launch Mentor engineers on the team, providing technical guidance and supporting their growth Champion and evangelize the use of AI tools to accelerate engineering productivity across the team, sharing patterns and best practices that raise the bar for how the team builds Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and share knowledge across the team Participate in the team's on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms Excellent communication skills and the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or

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 software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. 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. The Applied AI team is looking for a Backend Engineer to join the AI Entries team. You will build the foundational infrastructure that connects Lyft to emerging AI ecosystems and devices and architect the APIs and orchestration layers that allow third-party agents and multimodal interfaces to interact with Lyft. By building these robust integration, you will help make Lyft available where our riders are. Responsibilities: Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence Drive high-impact projects and innovate new solutions to deliver the best user experience Produce and drive scalable system design for large, complex features — from idea through execution and launch Mentor engineers on the team, providing technical guidance and supporting their growth Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and share knowledge across the team Participate in the team's on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience. 5+ years of software engineering/production

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. The Auth0 Delivery Enablement & Operations team is seeking a Senior Technical Program Manager to drive the cross-functional delivery of our most strategic portfolio of work in Platform Infrastructure. We are seeking an individual with a passion for technology, infrastructure, and operational excellence. The Senior Technical Program Manager will partner with Product and Engineering teams to implement, maintain, and optimize complex operational processes, inclusive of clarifying needs and value, securing commitment from teams across the organization, setting timelines, and facilitating ongoing delivery and execution. This role will report to the Senior Manager, Technical Program Management. You will: Drive large-scale, complex, cross-functional programs from design through delivery. Partner with Product and Engineering to define scope, value, and technical requirements, securing commitments across organizations. Orchestrate planning, prioritization, and execution, managing the integrated program plan and timelines across disparate functions. Proactively identify and resolve risks, dependencies, and impediments, clearly communicating trade-offs and solutions to stakeholders. Build and maintain strong relationships , serving as the central point of contact and providing consistent transparency into program goals, progress, and quality. Energize cross-functional teams to achieve ambitious objectives and uphold world-class operational excellence and sec

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! The Opportunity Cohere seeks a Chief Information Security Officer who can help shape Cohere’s security strategy & the broader conversation around securing AI at scale. You know how to build trust across organizations and communicate trade-offs clearly in environments where speed, innovation, and security must coexist. You will build the playbook and lead the evolution of Cohere’s global security program across corporate systems, cloud infrastructure, AI development, and enterprise operations. As a visible leader for Cohere’s security vision internally and externally you will navigate risk, represent Cohere in industry discussions, and reinforcing our commitment to building AI responsibly. In this role you will: Define and Scale Cohere’s Security Strategy: Define and execute Cohere’s overarching information security strategy in alignment with business priorities and long-term company growth. Build a Modern Risk, Governance & Compliance Program: Lead Cohere in identifying, assessing, and mitigating security risk across all business functions. Secure AI Systems and Technical Infrastructure: Lead the security architecture st

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. Sitting within the broader Safety & Customer Care team, Lyft's Customer Care Operations organization manages over 1.7 million monthly customer interactions and serves as the company's primary direct touchpoint with riders, drivers, and businesses — spanning frontline support across multiple customer segments, a global BPO workforce, and the central functions that enable them to operate at scale. The Director of Business Planning & Central Operations is a newly created role at the center of how Customer Care runs and grows. This leader will ensure the org is resourced and positioned for the future, and will own the functions that keep Customer Care financially disciplined and execution-ready. Reporting to the Senior Director of Customer Care Operations, they will lead five functions: Planning & Forecasting, Workforce Management, Readiness & Integration, Vendor Management, and Support Excellence. What You'll Do Business Planning & Strategy Partner with the Senior Director to drive H1 and H2 planning — translating annual objectives into operational plans, investment decisions, and resource models. Lead the investment brief process: sizing opportunities, articulating trade-offs, and building the business cases that secure resourcing for strategic priorities. Drive capacity planning, scenario modeling, and long-range forecasting to ensure the internal and external workforce scales efficiently alongside platform growth and AI adoption. Define and operationalize OKRs across the portfolio, then build the rhythms and infrastructure — scorecards, business reviews, and performance dashboards — that hold teams accountable and give leadership clear visibility into progress and outcomes. Growth & Integrations Lead operational readiness for major product launches, external partnerships, and

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're hiring a Treasury Analyst to join our Treasury team at a pivotal moment — we're actively integrating recent acquisitions, implementing a new Treasury Management System, and scaling our banking infrastructure across a rapidly growing international footprint supporting Lyft’s core, autonomous, and luxury offerings. This is a hands-on role with real ownership from day one. Reporting to the Head of Treasury, you'll support critical functional areas and workstreams including cash management, liquidity optimization, and SOX compliance, while getting exposure to strategic projects that shape how Treasury operates across the company. If you're intellectually curious, detail-oriented, and energized by a fast-moving environment, you'll thrive here. Responsibilities: Treasury Operations Position cash daily for Lyft's parent and subsidiary entities across North America, optimizing liquidity at the bank account and legal entity level. Support Lyft's global banking infrastructure: the master account repository, authorized signatory records, registration/regulatory documentation, and banking product subscriptions. Execute and monitor electronic payment requests, trade settlements, and other cash movements critical to the business. Support letters of credit — issuance, renewal, and cancellation - and maintain accurate records and track related expenses. Contribute to the Treasury Management System (TMS) implementation and the subsequent process migration, including process design, parallel testing, and SOP documentation. Act as a liaison to internal and external partners, responding to inquiries and resolving ad hoc issues. Additional Responsibilities Help identify and build AI-assisted automation for repetitive Treasury tasks, driving operational efficiency across the team. Ensure adherence to Treasury polici

Toronto, ON Want to work at a multinational investment bank? Join mthree as a Production Support Analyst and fast-track your career by working with one of our leading global banking clients in Toronto. You’ll support critical Capital Markets trading systems in a fast-paced commodities and futures environment, working closely with front office users to ensure stability, performance, and continuous improvement of production platforms. What you’ll do: This role focuses on supporting large-scale production systems within Capital Markets, ensuring end-to-end stability of trading applications while driving operational excellence. Provide specialized application support for Capital Markets trading platforms (approx. 60%) Perform end-of-day monitoring, incident management, root cause analysis, and problem resolution Support commodities and futures trading activities including trade flow/STP, P&L valuation, and breaks Work directly with Front Office business users in a high-pressure trading environment Monitor and support market data feeds and core trading applications Analyze existing systems and liaise with Business and Development teams to drive system improvements Manage user access and entitlements (approx. 20%) Coordinate with internal teams and external vendors (approx. 20%) Participate in weekend work as required for projects, releases, and disaster recovery testing Provide 24x7 on-call support based on assigned shift for end-of-day monitoring Deliver to tight timelines in a fast-paced trading environment What we’re looking for: (must have) Experience working in the financial services industry, ideally within Capital Markets / Futures Strong knowledge of Commodities and Futures products Proven experience supporting large-scale production systems Hands-on experience with end-of-day processing, monitoring, incident management, and root cause analysis Understanding of trade lifecycle concepts (trade flow/STP, P&L valuation, breaks) Experience with tools such as

About the Role: Tubi is creating a Performance Partner role to focus on supporting managers end-to-end in developing and managing their teams. This role will own the end-to-end Performance Improvement Plan (PIP) process, partner closely with HRBPs to develop and execute strategic talent programs, and drive manager effectiveness across the organization. This is a highly visible role that sits at the intersection of performance management, talent strategy, and manager enablement — ideal for someone who wants to build and own a program from the ground up. This is an individual contributor role reporting to our VP of People. This role will be hybrid and can be based in SF/NYC/LA/Toronto. What You'll Do: Own the end-to-end Performance Improvement Plan (PIP) process — from initial documentation through execution, check-ins, and resolution — partnering with legal, managers and business leaders throughout Partner with HRBPs on HR programs for their teams (e.g., performance reviews, onboarding, promotions), bringing performance management expertise into broader talent initiatives Develop and execute strategic talent programs that drive manager effectiveness, bringing workforce trends and analytics into program design Advise managers on trade-offs when navigating complex, undefined performance issues; encourage experimentation and iteration in how managers approach team development Lead multi-team efforts related to performance and manager effectiveness (e.g., a performance refresh, a new PIP framework rollout), building trust and credibility across functions Balance competing demands across multiple concurrent PIPs and programs, orchestrating initiatives to deliver business-ready outcomes Coach managers directly on how to have difficult performance conversations, set clear expectations, and document performance issues appropriately Track and analyze trends across PIPs and performance interventions, sharing insights with HRBPs and People leadership to inform broader talent st

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

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

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 Fulfillment group, in Marketplace, at Lyft is responsible for determining what inventory can be reliably offered for a given rider session and reliably fulfilling rider requests. The group has a few sub teams that are responsible for generating feasible offers for riders, connecting rider requests with drivers to fulfill those offers and a demand and supply lifecycle platform that power great rideshare experience. As a software engineer at Lyft, you'll collaborate with other software engineers and cross functions like product, data science and analytics to lead and execute large projects from idea to efficient execution. We're looking for a motivated Software Engineer who is passionate about solving challenging technical problems and is excited about working in a fast-paced, innovative and cross-functional environment where they will take on some of the most interesting and impactful problems in ridesharing. Responsibilities: Contribute to 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 trade offs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Build Features from tech specification to positive execution 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 and tech talks Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Proficiency in object-oriented programming Experience designing, debugging and running fault-tolerant, highly available, large-scale di

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

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 building next-generation CPU and AI silicon. You’ll work at the forefront of hardware innovation, diagnosing complex issues across chips, systems, firmware, and software while collaborating with some of the brightest engineers in the industry. This role offers the opportunity to solve challenging technical problems, build impactful debug solutions, and directly influence the reliability and performance of cutting-edge AI compute platforms. 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 Experienced in hardware debug and post-silicon bring-up for CPU, SoC, or ASIC systems. Strong understanding of processor architecture and microarchitecture (RISC-V, x86, or ARM) with familiarity in debug and trace methodologies (e.g., iJTAG). Hands-on engineer who excels at diagnosing complex hardware, firmware, and software issues through root-cause analysis. Comfortable working in the lab with a passion for building debug tools, automation, and scalable methodologies. Collaborative team player with experience partnering across ASIC, firmware, software, and validation teams. What We Need