Systems And Solutions Engineer in Canada

About the Team As one of DoorDash's core operations teams, Customer Experience ensures that when issues arise across the platform, there is a reliable and effective support system in place. Our team designs, manages, and continuously improves DoorDash's global support network, with the goal of delivering a high-quality and consistent customer experience. This role sits within the Safety Customer Experience team, focused on the most critical and high-risk incidents on the platform. The team owns some of the most sensitive customer interactions at DoorDash, where thoughtful operational and product decisions directly improve customer trust and platform safety. About the Role You'll operate at the intersection of Product, Operations, and Customer Experience to improve how DoorDash prevents, identifies, and responds to the most critical safety incidents on the platform. You'll partner closely with Product, Policy, Analytics, and Operations to design scalable solutions that deliver accurate, timely support during customers' highest-stakes moments. This role requires a detail-oriented operator who can navigate complex problem spaces, design scalable processes, and execute with precision in a fast-paced environment. You’ll be expected to take ownership of ambiguous, high-stakes problems and translate them into structured, actionable solutions. You’re excited about this opportunity because you will… Drive Safety Strategy – Partner with cross-functional teams to identify and execute initiatives that improve how DoorDash prevents, identifies, and responds to safety incidents. Own End-to-End Experience – Design and optimize the full lifecycle of safety incident handling, including reporting, workflows, support execution, and tooling. Drive Data-Driven Decisions – Leverage data and case-level insights to identify root causes, measure performance, and prioritize opportunities to improve the safety customer experience. Influence Cross-Functionally – Collaborate with Product, Engin

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. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Systems intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to

Lead Systems Engineer Company: The Boeing Company Boeing Defense, Space & Security’s Experimental Systems Group (ESG) is hiring Lead Systems Engineer to join our team at Seal Beach or El Segundo, CA. We are seeking a Lead Systems Engineer with proven expertise in requirements development and management, verification and validation (V&V), system architecture, specifications, and Interface Control Documents (ICDs). The ideal candidate will excel at translating stakeholder needs into clear, well-formed requirements, developing and maintaining comprehensive system-level architectures, authoring and managing technical specifications and ICDs, and planning and executing verification activities across all system elements to ensure successful project outcomes. Position Responsibilities: Elicit, analyze, decompose, and allocate system and subsystem requirements from stakeholder needs and higher-level system specifications Create, edit, and maintain well-structured, testable requirements using a requirements management tool Develop and maintain system architecture descriptions (functional, logical, physical) and traceability from requirements to architecture and verification Author and maintain specifications and Interface Control Documents (ICDs) that define interfaces between systems and subsystems; manage ICD baselines and change control Develop verification plans, procedures, and test cases aligned to requirements; coordinate and perform verification activities (analysis, inspection, demonstration, test) and document results Support integration activities and resolve interface mismatches and discrepancies between subsystems through engineering change proposals or interface updates Maintain

Senior Systems Engineer Company: The Boeing Company Boeing Defense, Space & Security’s Experimental Systems Group (ESG) is hiring Senior Systems Engineer to join our team at Seal Beach or El Segundo, CA. We are looking for a Senior Systems Engineer with proven expertise in requirements development and management, verification and validation (V&V), system architecture, technical specifications, and Interface Control Documents (ICDs). The successful candidate will be adept at transforming stakeholder needs into clear, actionable requirements, developing and sustaining system-level architectures, authoring and overseeing technical specifications and ICDs, and coordinating verification activities across all system components to ensure seamless integration and performance. Position Responsibilities: Elicit, analyze, decompose, and allocate system and subsystem requirements from stakeholder needs and higher-level system specifications Create, edit, and maintain well-structured, testable requirements using a requirements management tool Develop and maintain system architecture descriptions (functional, logical, physical) and traceability from requirements to architecture and verification Author and maintain specifications and Interface Control Documents (ICDs) that define interfaces between systems and subsystems; manage ICD baselines and change control Develop verification plans, procedures, and test cases aligned to requirements; coordinate and perform verification activities (analysis, inspection, demonstration, test) and document results Support integration activities and resolve interface mismatches and discrepancies between subsystems through engineering change proposals or interface updates<

Senior Software Engineer - Observability and Reliability About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Build observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management Build with modern tools and languages like Go, Open Telemetry and Kubernetes Participate in on-call rotation and ensure uptime of services Create runtime tools/processes that optimize cloud triaging and limit downtime Define best practices around making our systems and services measurable Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software, especially software other engineers use You apply a product mindset to infrastructure systems and feel accomplished enabling others Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you’ll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models Administered cloud service infrastructure (GCP, AWS, Azure) Startup experience Additional Job details Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize e

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. About the team The Apps & Experiences Platform team is powering systems and services for all our user facing apps including Snowsight , Snowflake Intelligence , and new mobile apps . Our mission is to craft innovative backend services, features, tools, infrastructure, and AI tooling that bring such products to life with delightful user experiences. As part of our team, you'll dive into a mix of building & managing platform infrastructure, and building AI self-serve tools to support the platform and its developer’s needs. We're passionate about building a platform that is highly reliable, available, maintainable, and scalable. We are a high growth AI data cloud company and we are looking for exceptional talent like you to help build and grow our infrastructure to scale us to the next level. AS TECHNICAL LEAD & MANAGER FOR APPS & EXPERIENCES STORAGE TEAM, YOU WILL: Own the storage team’s technical strategy and execution , driving projects from initial idea formulation and detailed system design to high-quality implementation and successful deployment. Provide deep technical oversight by actively participating in design reviews, architecture discussions, and drilling into complex system implementations to ensure reliability and scalability. Serve as a key techn

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

(Sr.) Revenue Accounting Manager Sigma Computing is seeking a Senior Revenue Manager to join our Revenue team and play a key role in managing revenue accounting and revenue operations in a fast-growing SaaS environment. Reporting to the Senior Director of Revenue, this role will own key aspects of the revenue close, revenue recognition, contract review, and related processes. The Senior Revenue Manager will serve as a subject-matter expert on revenue accounting, partnering closely with Sales, Deal Desk, Legal, FP&A, and Finance to assess complex customer arrangements, ensure appropriate revenue treatment, and build scalable processes and controls. Key Responsibilities Own key components of the monthly, quarterly, and annual revenue close, including revenue recognition, deferred revenue, unbilled revenue, and related reconciliations. Ensure compliance with ASC 606 and applicable accounting standards. Review customer contracts and non-standard arrangements to determine appropriate revenue recognition. Partner with Sales, Deal Desk, Legal, FP&A, and Finance to assess the accounting implications of new products, pricing structures, and complex deals. Review and approve revenue-related journal entries, reconciliations, and supporting schedules. Develop, maintain, and improve revenue accounting policies, procedures, and internal controls. Own accurate and timely billing operations, including review and validation of sales tax applied to customer invoices. Own sales tax compliance processes, including periodic reviews of nexus, taxability, and potential exposure across applicable jurisdictions. Support internal and external audits, including preparation of revenue-related schedules and documentation. Identify opportunities to streamline, automate, and scale revenue processes. Partner with Finance Systems and other stakeholders on revenue system enhancements and process improvements. Support the implementation and optimization of revenue-related

About the Team The Global Safety and Security team advances DoorDash by protecting people, property, operations, brand, and reputation. Within that team, Protective Services safeguards executives and residences through executive protection, intelligence collection, threat monitoring, residential security, and secure transportation. We manage risk and deliver value through technology and a people-first approach, and we strive to always be ahead of the curve and there for our people, anytime, anywhere. About the Role We are hiring Protective Services Associates to join the Protective Services team, providing residential security coverage and on-site protective presence in support of executives. This is the entry point on our cross-trained career ladder. Associates build proficiency across residential security, monitoring and threat reporting, and close-protection fundamentals, with a structured path to Senior Associate and beyond as you grow. Responsibilities Residential Security Coverage: Provide dedicated, round-the-clock physical security presence at a residential property as part of a rotating shift team. Monitoring & Threat Reporting: Monitor camera systems and access points, document and report security-relevant activity, and hand off findings to the team's intelligence function. Access Control: Screen and coordinate visitors, deliveries, and vendors according to established protocols. Logistics Coordination: Plan and manage the logistics of residential security operations, including scheduling, shift handoffs, and coverage during events or executive travel. Coordinate with drivers and other Protective Services team members to align movements, timing, and coverage. Incident Response: Respond to security incidents or anomalies, following established escalation procedures. Professional Conduct: Serve as a trusted, hands-on point of contact for executives, anticipating needs, exercising sound judgment in real time, and delivering discreet, concierge-level servi

About the Team The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers. About the Role The Storage team is building and operating a high-performance, scalable, and reliable data abstraction layer that optimizes both efficiency and reliability. Our goal is to create a platform that manages itself and fades into the background—empowering engineers to focus on delivering product experiences our customers love. This role is available across two teams within Storage, each solving unique and high-impact challenges: One team is building the orchestration layer for DoorDash’s storage platform—unifying lifecycle management, operations, and self-serve APIs for databases and streaming systems, turning complex, stateful infrastructure into reliable, developer-friendly services used across the company. One team builds and operates the distributed data platform powering DoorDash's largest stateful workloads -- including Cassandra, which backs critical product surfaces across DoorDash, Wolt, and Roo. You'll design high-throughput data abstractions, smart clients, and platform services that make distributed data reliable and easy to work with at multi-petabyte, multi-million-QPS scale, with opportunities to go deep on distributed systems internals and contribute to the open-source Cassandra ecosystem. If you're passionate about distributed systems, developer experience, and building foundational infrastructure at scale, we'd love to hear from you. You must be located in San Francisco, Sunnyvale, Seattle, or the New York Metro Area for this hybrid pos

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves – Operates, inspects, and maintains all HVAC, mechanical, electrical and plumbing equipment and systems in assigned facilities to obtain most efficient operating results and life expectancy. Assures that equipment is being maintained in an energy efficient, safe manner and down time is reduced to a minimum by anticipation of necessary repairs keeping records of past operating experiences. Performs inspections and repairs to assigned property interior and exterior areas, including walls and flooring, installed fixtures, roofing systems, lighting, etc. This is a position attached to the Collective Bargaining Agreement between JLL and the International Union of Operating Engineers – Local 39. What is your day to day? Performance of ongoing preventive and repair response work orders on facility mechanical, electrical, and other installed systems, equipment, and other components. Maintain, operate, and repair all HVAC systems and associated equipment, electrical distribution equipment, plumbing systems, building interior/exterior repair, and related grounds as it pertains to assigned buildings. Perform assigned facility inspections and due diligence efforts, reporting on as found conditions impacting satisfactory client occ

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 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 Issue Workflow is Sentry's primary product surface. Our issue platform processes billions events daily and turns them into actionable insights that help millions of developers fix bugs faster. As a Staff Software Engineer on the Issue Workflow team, you'll architect the systems that power this experience. You'll work at the intersection of high-scale distributed systems and product engineering, building real-time data pipelines, search backends, and analysis systems that surface signal from noise. This is product engineering at massive scale—where every architectural decision impacts millions of debugging sessions. You'll be the technical leader who shapes how Sentry groups issues, how we make search lightning-fast, how we enable sophisticated agentic workflows, and how we ensure that the product is performant even at billions-of-events scale. Your work will define what's possible for the most trafficked part of Sentry's platform. In this role you will Drive technical strategy and roadmap. Partner with engineering leadership, product, and design to shape the multi-quarter technical vision for Issue Workflow platform. Make strategic calls about architectural direction, technology choices, and technical debt. Ensure the team is building a strong foundation to scale with Sentry's growth. Solve complex performance and scalability challenges. Champion product quality and user experience. Build features that don't just work—they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. You instrument everything s

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring for our Treasury team Software Engineers at various levels (II and Senior) who are curious and willing to dive deep and understand our technology and domain in order to solve interesting and hard problems.The Treasury team maintains and builds the backend services that manage the flow of funds between Lithic and third parties. This includes our ledger, ACH and wire infrastructure, and associated reconciliation. The systems we maintain have high standards of reliability and correctness. You will become an expert in the card payments space. The Treasury team primarily uses Python for their tech stack. What You'll Do: Ensure high reliability and correctness for Lithic’s ledger and orchestrated funds flows Develop new features to better serve Lithic customers Ensure that the team is delivering reliable, secure, and scalable code with minimal tech debt Own initiatives from planning to launch, keeping stakeholders informed and aligned along the way Lead efforts to improve systems and processes wit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and