Role Description Motion’s products increasingly rely on data-intensive APIs. Beyond our reporting platform, MCP server, and public endpoints, these APIs now power per-customer environments where AI systems can execute tasks, access customer-specific state, and proactively run analysis. Today, that means Azure VMs running Dockerized workloads and a growing layer of application code which needs to cover everything from functionality to routine updates. We’re looking for a senior software engineer who loves working at the boundary between product code and infrastructure. This is not a traditional DevOps or SRE role. You’ll spend most of your time writing application code that controls infrastructure primitives: - Messaging queue abstractions - VM management - Data lifecycle - Container updates - No-downtime migrations - Bootstrapping - Permissions - Observability - Security The right person is comfortable going deep into Linux, containers, networking, and all that jazz, but thinks like a product engineer: shipping reliable systems, choosing pragmatic abstractions, and making complicated runtime behavior feel routine to our customers. Our tech stack: Node.js, TypeScript, React, MongoDB, ElasticSearch, Azure, and Pulumi. Qualifications - 6+ years of experience as a software engineer, with meaningful time spent going deep into infrastructure. - Strong production backend experience. TypeScript / Node.js is ideal, but we care more about strong engineering judgment and the ability to learn our stack quickly. - Deep, hands-on cloud experience. Azure is where we live, but AWS or GCP experience transfers if you are strong on the fundamentals. - Fluency with infrastructure-as-code. We use Pulumi but any relevant experience in Terraform or CDK is good. - Hands-on experience with containers and runtime environments. Docker is important; experience with Kubernetes, Nomad, ECS, Docker Swarm, or similar orchestration systems is helpful but not required. - Experience designing reliable systems around background jobs, queues, locks, service buses, migrations, retries, and failure recovery. - Strong security instincts for application runtime environments. Requirements - You're genuinely excited about infrastructure. When something breaks, you want to understand how the system actually works, not just scale and restart it. - A strong sense of ownership: you make decisions and move quickly to fix things quickly when they go wrong. - A pragmatic mindset. You can ship the simple thing when speed matters, while flagging that which needs to evolve later. - Comfortable in a fast-moving startup where requirements come with ambiguity and the “right” way isn't handed to you. - You enjoy being a strong individual contributor and a supportive teammate. Engineering is a team sport here. Benefits - Competitive compensation package, including equity for all employees. - Health benefits from day one. - A monthly health & lifestyle stipend to support your well-being. - 20 days of PTO. - A $1,500 work-from-home stipend. - Remote-first with hybrid flexibility. - Opportunity for impact as an early team member. - Award-winning team ranked #19 on G2's list of Best Canadian Software Companies for 2026. - Team connection through virtual and in-person events.

• Develop code and unit tests for BOH systems leveraging AI technologies to increase efficiency and accuracy. • Collaborate with other software engineers, quality engineers (QE), site reliability engineers (SRE), security engineers and product teams across YUM brands and vendor partners to implement software solutions. • Participate in Agile Scrum activities such as daily standups, sprint planning, backlog refinement, retros and turnover sessions. • Document and diagram software processes with high-level overview of data flows. • Help create and improve processes or tools. Improve existing code by refactoring.

Role Description We invite a Senior Software Engineer with deep hands-on experience in Python, Computer Vision, and Machine Learning to join our team working on a production-grade project in the restaurant technology space. In this hands-on engineering role, you'll build and maintain a live drive-thru Computer Vision system that recognizes vehicles and helps automate order-related processes in real time. Qualifications - 5+ years of experience in Computer Vision and Machine Learning in production environments - Strong software engineering background with solid Python skills and experience building and maintaining production-grade systems - Hands-on experience with PyTorch and object detection models (YOLO) - Hands-on experience with OpenCV - Strong understanding of the ML lifecycle (training, evaluation, deployment) - Experience fine-tuning models, improving system performance, and troubleshooting production issues - Ability to work independently and take end-to-end ownership - Proactive, self-organized mindset with strong communication skills - Experience collaborating in distributed teams and working directly with clients and senior stakeholders - Upper-Intermediate+ English level (written and spoken) - Willingness and ability to travel to the U.S. occasionally (valid visa required) Requirements - Experience with TensorFlow (desirable) - Understanding of Advanced Data Structures (Trees, Graphs) (desirable) - Experience working with LLMs (desirable) - Experience mentoring or guiding other engineers (desirable) - Experience in restaurant tech or similar domains (desirable) Benefits - 30 paid days off per year to use however you like — vacations, holidays, or personal time - 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child - Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months - We pay in U.S. dollars and cover all approved overtime - Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events Key Responsibilities - Involved in the ongoing development, improvement, and support of a production Computer Vision system based on real-world usage data - Work on day-to-day engineering tasks and support the continuous delivery of a live production system - Fine-tune and optimize ML models to improve system performance in real-world conditions - Contribute to new feature development and system enhancements to meet evolving requirements - Identify, analyze, and troubleshoot issues in a production environment - Collaborate with the team and client stakeholders on requirements and solutions - Support on-the-ground testing and validation in a dedicated real-world demo environment

Role Description We are seeking a hands-on leader to head our application team. This is a 50% Hands-on / 50% Management role, managing a team of up to 5 developers & QA and reporting directly to the VP R&D. The position is fully remote. - Lead and mentor a team of up to 5 developers & QA, ensuring high-quality delivery and professional growth. - Act as a hands-on leader, spending 50% of your time on core development and architecture. - Lead projects within our application team, creating high-end automatic financial trading systems. - Work directly with customers to translate business needs into technical solutions. - Take an active role in requirements definition and DevOps processes. Qualifications - At least 2 years of experience in a leadership/management role. - At least 4 years of development experience within the Microsoft stack: C# / .NET / .Net Core / MVC / Angular / HTML5 / Web Sockets. - Proven experience in Multithreading, system architecture, and LINQ. - Strong experience with SQL DB (MySQL) – including Stored Procedures, performance, and tuning. - Full-lifecycle development experience, from initial design through to QA. - High proficiency in English. Requirements - Experience in the financial industry. - Experience with Solace messaging bus. - Experience with Linux and Mono. - Relevant academic background.