Lead the architecture and development of Quo’s AI Agent Platform, driving performance, reliability, and scalability while mentoring engineers and collaborating across teams.
Locations (2)
United States
Canada
Compensation
The annual base salary range for this position is as follows, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD
- All other US Locations: $186,000 - $217,000 USD
- Canada: $189,000 - $222,000 CAD
Responsibilities
Own the architecture of the agent platform
Build advanced orchestration for multi-agent coordination
Design memory and self‑learning for agents
Drive scale, performance, reliability and cost of agent execution
Make the platform easy for other teams to build on
Requirements
Nice to have: LLM
Nice to have: agent platform
Nice to have: workflow engine
Nice to have: real‑time communications infrastructure
As a Staff Backend Engineer, you'll be hands-on and writing production code, working closely with the Foundations lead. You'll stay on one team but spend a lot of your time alongside other teams, helping them adopt a new pattern, writing code with them and making sure it works for their part of the product. This isn't a feature team role, and it isn't DevOps or SRE either. It's backend engineering whose impact shows up across the whole of Quo.
Locations (2)
United States
Canada
Compensation
The annual base salary range for this position is as follows, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD
- All other US Locations: $186,000 - $217,000 USD
- Canada: $189,000 - $222,000 CAD
Responsibilities
Lead the technical work on our REST to GraphQL migration, building the core pieces yourself and the patterns that let every other team finish theirs.
Shape how our GraphQL architecture grows, including breaking one large graph into supergraphs and subgraphs that teams can own and change independently.
Help rework authentication and authorization across Quo, working directly with each team it touches and writing code alongside them.
The Connect team is the front door for everything that talks to Quo without a human clicking in the app: the public API, MCP, OAuth, webhooks and integrations with tools like HubSpot, Jobber and Clio. This is the first true staff role on the team. You'll be the technical voice for Connect: the person who sets the architecture, fields the questions from product, partnerships and leadership, and makes it easy for every other team at Quo to ship through the API.
Locations (2)
United States
Canada
Compensation
The annual base salary range for this position is as follows, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD
- All other US Locations: $186,000 - $217,000 USD
- Canada: $189,000 - $222,000 CAD
Responsibilities
Build the system, and the relationships, that let any team at Quo add their feature to the public API in a day or two, then get the rest of engineering to actually use it
Own the long-term architecture for the API platform
Be the technical point of contact for partnerships, product and leadership on what the API and integrations can do, set expectations, and protect the roadmap when a request would derail it
Help design, build, and own mission-critical solutions built for in-house Security Services teams, enabling them to deliver high value services to our global customers. As a Developer on our team, you will be at the intersection of AI, Big Data, Cloud, and Web development, working with React/Typescript and Go/Python running on AWS.
Compensation
The base salary range for this job family is 75,000 to 246,000 CAD annually. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.
Responsibilities
Collaborate with the cross-functional teams to continuously improve solutions that enhance stakeholder effectiveness and operational efficacy
Work with the latest technologies especially AI and broaden your skillset
Grow your experience in the Cybersecurity Operations space
Watch your work come alive daily through a mature CI/CD pipeline
Solve complex engineering challenges related to scalability, reliability, performance, latency, throughput, and cost efficiency in cloud-native environments
Concevoir, développer et exécuter des stratégies et plans de test complets, manuels et automatisés, pour des applications client-serveur complexes, en assurant une validation rigoureuse des fonctionnalités, de la performance et de la fiabilité à travers l’ensemble de la pile technologique.
Compensation
Le salaire de base pour ce poste varie entre $78,750 - $105,000 CAD. Le salaire peut varier en fonction des connaissances, des compétences et de l'expérience liées au poste. Intelerad est une entreprise qui offre une rémunération globale. Le salaire dépend du poste proposé. Des bonus et d'autres formes de rémunération peuvent être accordés dans le cadre d'un programme de rémunération globale, en plus d'une gamme complète d'avantages sociaux médicaux, financiers, de retraite, de congés payés et/ou autres.
Responsibilities
Concevoir, développer et exécuter des stratégies et plans de test complets, manuels et automatisés
Effectuer des recherches, évaluer et recommander des technologies, cadres d’automatisation et outils
Collaborer avec les équipes de développement dans un environnement Agile
Participer à des activités de développement professionnel
Requirements
Baccalauréat en informatique, en génie ou expérience équivalente
The Senior Quality Analyst drives quality excellence across our medical imaging solutions by designing and executing comprehensive testing strategies that ensure product reliability and performance.
Compensation
The base pay for this position ranges from $78,750 - $105,000 CAD within any geographic market in Canada.
Responsibilities
Design, develop, and execute comprehensive manual and automated test strategies and plans for complex client/server applications, ensuring thorough validation of functionality, performance, and reliability across the full software stack
Research, evaluate, and recommend automation technologies, frameworks, and tools to enhance testing efficiency and effectiveness across protocols/APIs, databases, standalone applications, and web-based systems
Collaborate with development teams in an Agile environment to integrate quality practices throughout the software development lifecycle, identifying issues early and driving continuous improvement in product quality and team productivity
Participate in continuous learning opportunities including training and conferences to stay current with QA methodologies, emerging technologies, and industry best practices
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Nice to have: Open-source automation tools and frameworks
Senior engineer on a small team with a large amount of ownership and autonomy, reporting to an engineering manager and partnering closely with the team's tech lead on technical direction. You will lead projects end to end, from ambiguous problem to design, implementation, production rollout and operation, across Catalog Store services and datastores.
Locations (4)
Ontario, Canada
Alberta, Canada
British Columbia, Canada
Nova Scotia, Canada
Compensation
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$168,000—$177,500 CAD
Responsibilities
Own the health and evolution of self-hosted PostgreSQL fleet on AWS EC2: sharding, replica topology, capacity planning, backups and restores, schema and index tuning, upgrades, and retiring legacy clusters
Finance professional responsible for validating procurement savings, building AI-assisted data workflows, and maintaining Power BI reporting for a procurement excellence team.
Responsibilities
Review, validate and quantify savings
Build AI-assisted first-pass checks
Work directly with vendors and clients to resolve savings proposals
Track implementation with dashboards
Design, build and maintain AI-assisted workflows for large spend data sets
Senior Software Engineer on Compute Platform team, responsible for designing, building, and operating Kubernetes-based platform systems for GitHub’s production workloads.
Responsibilities
Design, build, and operate Kubernetes-based platform systems that support GitHub production services.
Improve reliability, scalability, and operability across GitHub's Kubernetes / Hubbernetes fleet.
Drive significant technical work across ambiguous, cross-team platform problems, including AKS migration, fleet management, control-plane reliability, and capacity management.
Partner with service owners, infrastructure teams, and engineering leaders to shape safe migration paths, operational standards, and platform improvements.
Debug and resolve complex production issues across Kubernetes, cloud infrastructure, Linux, containers, networking, observability, and distributed systems.
Requirements
Bachelor's Degree in Computer Science or related field
Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field
Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field
Nice to have: Azure Kubernetes Service
Nice to have: platform engineering
Skills
Build reusable libraries and backend patterns that product engineers use every day as they ship features.
Design reliable, scalable backend systems that hold up as more and more businesses run on Quo.
Drive new datastore systems to production, from ingestion and data freshness to migrating APIs onto them with shadow testing, staged rollouts and clear deprecation plans
Optimize and harden Temporal-based ingestion workflows that keep catalog data fresh, reliable and observable
Write and review design documents, make sound technical trade-offs, and drive alignment with partner teams across other Instacart pillars
Raise the bar for reliability through strong observability, SLOs, automation and runbooks, take part in the team's on-call rotation, and lead incident response and follow-up for systems you own
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience
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