It Support Engineer in Canada

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring a Software Integration Engineer for our Platform Integration team. This is a critical role with impact across the robot lifecycle, from manufacturing to daily operation. The Platform Integration team owns making sure the robot works as one cohesive system. The focus is on the interfaces between subsystems; this role in particular is focused on the software side handling interaction between: OS & software stack; firmware; networking; timing; and calibration. In this role, you will work cross functionally with our electrical, hardware, firmware, and autonomy engineers to support new functionality both in both hardware and software. This includes creating provisioning tools, functional tests, and supporting integration into the autonomy software stack. You will report to the Autonomy Platform Lead on our Autonomy Platform Team at DoorDash Labs. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Play an integral role on a small and focused team. Lead system-level debug when an issue crosses subsystem boundaries or no single team can isolate it. Support early integration of new sensor and software component designs by identifying interface requirements, risks, dependencies and required checks. Design and maintain integration tests, test setups, and procedures to ensure subsystems, once combined, satisfy requirements and design intent. Build and maintain the mission-readiness checks used before manufacturing signoff, validation, field testing, or mission use for different robot platforms. Create the tools, checks, and debug guidance that Manufacturing Integration, Validation,

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 looking for a Workato/Boomi Integration Engineer to build and support enterprise automation, with a focus on Legal systems integration (CLM, e-signature, matter management, compliance). You'll work across iPaaS, APIs, and AI/agentic tooling (Workato Genie, AI Skills, MCP servers) to connect Legal and other business systems. Responsibilities: Design and build Recipes and process automations across multiple systems, including AI-powered workflows using Workato Genie and MCP servers. Build and support AI Agents (Genies) for Legal and business-process automation, including prompt design and IDP for unstructured Legal content (contracts, filings). Design and manage secure API endpoints (REST/SOAP) and SFTP connections; build ETL/data-sync pipelines across formats (JSON, XML, CSV, EDI). Deploy and manage On-Premises Agents (OPA) for secure, behind-firewall connectivity. Maintain platform environments and security (RBAC, SSO, versioning); monitor jobs and troubleshoot failures. Build employee-facing tools (Workbot/ChatOps, Workflow/AgentX Apps, Slack integrations) with human-in-the-loop steps. Integrate business applications (CRM, HR, Finance, LMS, Legal, Budget & Forecast) via Boomi, with emphasis on Legal, Financial, and Supply Chain integrations. Write and optimize SQL/PL-SQL and custom scripts (Java/Groovy/JavaScript/Python); manage code via Git/GitHub; provide production support and on-call as needed. Partner with Legal, Compliance, and IT stakeholders to gather requirements and translate them into working integrations. Experience: 6–8 years of integration/automation experience, with hands-on Workato and Boomi. 4–6 years building and managing APIs (API Gateway, OAuth/SAML/JWT) and SFTP-based file transfers. 2+ years supporting Legal systems integrations (CLM, e-signature, matter management, c

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About the Team Global Compute builds and operates the core cloud infrastructure that engineering teams rely on every day. We provision and manage AWS accounts across the company, operate the network backbone that connects them, and maintain the security guardrails that keep those environments safe, compliant, and scalable. We believe reliability is an engineering challenge, not an operations task. We automate repetitive work, build for scale before it becomes a problem, and invest heavily in observability to identify issues before they impact the business. What you'll get to do... Operate and scale AWS production infrastructure, owning the health of services that provision, secure, and manage accounts across GoDaddy AWS organisations. Design, build, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-first practices. Drive cost optimisation initiatives that improve efficiency and deliver measurable business impact. Improve observability through monitoring, alerting, dashboards, and operational tooling. Participate in on-call rotations, lead incident response efforts, and drive long-term reliability improvements through blameless post-incident reviews. Support strategic AWS initiatives across networking, identity, governance, and multi-account architecture. Review code and designs, contribute documentation and operational runbooks, and mentor fellow engineers. Leverage AI-assisted tooling to improve engineering productivity, accelerate automation, and reduce operati

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 core corporate finance functions are critical to Lyft’s success. The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow. The Oracle EPM Engineer possesses both business and technical acumen. This engineering role provides support for Lyft’s Corporate consolidations systems, managing their daily performance and incidents, creating automated workflows, building customer solutions, configuring applications, providing end user training and protecting all system related information assets. In this pivotal role, you will leverage your deep expertise in FCCS, ARCS, Data Exchange and EDMCS to drive innovation across our financial consolidation, reporting, reconciliation, and planning processes. Working at the intersection of finance, technology, and strategy, you'll collaborate with key stakeholders to architect solutions that enhance accuracy, efficiency, and compliance while positioning our organization for continued growth and adaptability in a dynamic business environment. Responsibilities: Strategic Leadership & Expertise Lead all aspects of the front-end administration of the FCCS, ARCS, Data Exchange, EDMCS systems including maintaining metadata, rules, forms, developing reports, creating locations, mappings, and granting user access. Serve as the support person and subject matter expert for FCCS, Data Exchange and ARCS configurations, setting technical standards and driving continuous improvement initiatives Strong understanding of complex EPM implementation projects from conception to completion, ensuring on-time, within-budget delivery while exceeding stakeholder expectations Advanced System Configuration & Development Design and implement sophisticated FCCS business rules, incl

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. Build features for agentic systems including multi-layered guardrails and data retrieval optimization. Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. Collaborate with cross-functional teams to execute backend solutions for secure environments. Participate in customer engagements to understand requirements and deliver technical solutions. Define requirements with stakeholders and implement features until they are accepted. Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

About the role There’s a wide gap between an agent that works in a demo and one that works across millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Providing world-class customer service for our community of guests and hosts is a critical mission at Airbnb. The Ambassador Routing & Channels (ARC) team sits within Airbnb Community Support and is responsible for powering intelligent, differentiated service experiences, ensuring every support request, across any channel, is addressed by the right expert at the right time. Our work directly drives faster resolutions, higher quality interactions, and exceptional customer satisfaction at scale. The Difference You Will Make: As a Senior Backend Engineer on the ARC team, you will contribute meaningfully across our core routing and differentiated service programs: Contribute to and lead engineering delivery on programs that enable intelligent agent matching, personalized support experiences for high-value customers, and next-generation routing and communication channel capabilities. Own and evolve core routing infrastructure, including decision engines, workflow orchestration, and routing rule management. Ensuring high availability, correctness, and scalability across millions of daily support interactions. Help drive consolidation of fragmented routing logic spread across multiple platforms and channels into a centralized, auditable, and maintainable system. Collaborate cross-functionally with Product, Operations, Data Science, and partner engineering teams to align on priorities and deliver outcomes that improve the customer support experience. Contribute to technical quality through design reviews, code reviews, and pragmatic architectural decision-making. Support the team's tech

About the Team At DoorDash, we’re reimagining how people connect with the things they need — whether it’s a meal, a grocery run, and anything in between. Our audiences — Consumers, Dashers, and Merchants — are at the heart of everything the Design org builds. Our content design team plays a big part in this, with each content designer shaping the experience and bringing our vision to life through clear, thoughtful language that makes our three-sided marketplace easier, faster, and more human. About the Role We’re looking for a full stack UX Design Engineer to be the technical backbone of our global Content Design org and leader who builds the platforms, tooling, and ML systems that make world-class, localized product content effortless across DoorDash, Wolt, and Deliveroo. You’ll work at the intersection of design and engineering to build content tooling and embed LLM-driven workflows into product experiences. You’ll accelerate content design AI tooling so that CD’s can focus on the highest leverage strategic work, while your tools enable product designers and cross functional partners to ship high-quality content faster across DoorDash, Wolt, and Deliveroo. You're excited about this opportunity because... Design and build internal content tools that: Help PMs and designers generate, manage, localize, and deploy product content at scale. Plug custom GPTs and other LLMs into everyday product workflows for content iteration and improvements. Own full-stack development of these tools: Build and maintain frontend experiences using React and modern JavaScript/TypeScript. Design and implement backend services and APIs (e.g., Kotlin/Java) to support content tooling, experimentation, and automation. Integrate tooling with experimentation and infra: Embed content tools into A/B testing platforms so teams can test and ship variants with minimal engineering dependency. Build pipelines from variant generation → experiment → automated deployment of winners. Operationalize

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Governance and Compliance platform is the operating layer enterprises trust to run their security programs. We are hiring an engineer who will own the architectural foundation that makes it work for their most complex organizational structures. Program Structure and Trust is a newly chartered group at Vanta with a focused mission: build the enterprise org model that lets customers bring their compliance and security structure — product lines, business units, isolated data environments, cross-cutting audits, scoped approvals, and data residency requirements — natively into the platform. The problems this team solves determine whether Vanta can serve the enterprise customers it's increasingly winning. This is the defining technical role of the group. The Principal Engineer owns the design, phased delivery, and long-term technical direction of Vanta's enterprise org model — a multi-quarter initiative that cuts across the platform and establishes the foundation for how enterprise customers structure, segment, and operate inside Vanta. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Principal Engineer at Vanta: Own the design and multi-quarter delivery of Vanta's enterprise org model, including hierarchical product lines and business units, isolated data access and ownership, cross-cutting audit workflows, scoped approvals, and EU and GovCloud data residency support Define and evolve the core abstractions that let the platform absorb structurally diverse, often conflicting enterprise requirements — solving for the general case rather than one-off customer accommodations R

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Core Platform team provides the foundational infrastructure that powers all engineering at Vanta. We're expanding upmarket to support enterprise customers, which requires strategic investment in platform systems that ensure security, reliability, and developer productivity at scale. As we expand upmarket to support enterprise and regulated customers, we’re investing heavily in platform capabilities that scale securely while reducing cognitive load for product teams. As the Engineering Manager, Core Platform at Vanta, you'll own the foundational infrastructure that every engineer builds on, ensuring it scales with company growth while remaining fast, simple, and reliable. This team’s ownership spans shared services infrastructure, observability and monitoring, datastore management, and async work systems. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow high-performing platform engineering teams that deliver reliable, scalable infrastructure and operational excellence for Vanta’s products and customers Set technical direction and drive multi-quarter platform initiatives spanning infrastructure reliability, security, scalability, and developer experience across shared systems and services Partner closely with product engineerin

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! As a Senior Security Operations Engineer you will: Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default designs and features into network, tooling, and processes Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by deploying secure architectures using infrastructure-as-code and reusable code libraries Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamling authentication/authorization to ensure unified access control across the board Deploy and operationalize some of the security services and tools (eg: SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling) Respond to security incidents and harden environments post-incidents. Support control monitoring and remediation for compliance initiatives Gather and analyze security metrics to address security issues with cross-team dependencies Be a problem solver who is empathetic to developer concerns and will employ construc

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir's defense product vertical builds mission-critical products for the modern warfighter. We provide a complete ecosystem where customers can securely integrate and visualize their data, and build sophisticated, full-fledged programs such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. Our customers use our defense offering to perform rich analyses that drive core operations within their organizations - these programs are relied upon for daily operations in the command centers and battlefronts of militaries across the world. Backend Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Your day-to-day workflow will vary, adapting to the requirements of our users and the technical challenges that arise. One day, you may find yourself collaborating with other engineers to architect a new system that enables a novel workflow, the next you could be fine-tuning performance to enable low-latency operational o