Top AWS Jobs in Vancouver

Dirige des projets d’implantation de technologies de l’information en santé pour des solutions d’imagerie radiologique et cardiologique. Gère la portée, les échéanciers, les budgets, les ressources, les risques et les communications avec les clients. Coordonne les équipes interfonctionnelles, résout les escalades, encadre les gestionnaires de projet juniors et contribue aux initiatives de standardisation et d’amélioration continue du PMO.

Lead medium- to large-scale healthcare IT implementations for radiology and cardiology imaging solutions. Manage project scope, budgets, timelines, resources, customer relationships, escalations, documentation, and cross-functional delivery. Mentor junior project managers and support PMO transformation and standardization initiatives. The role requires managing multiple concurrent projects and traveling up to 25% throughout North America.

Leads the strategy, roadmap, architecture, reliability, and operations of a cloud-based security data platform. Oversees data pipelines, APIs, identity, tenant management, developer tooling, CI/CD, governance, security, and scalability. Partners with Product and SRE, drives operational excellence and AI adoption, and builds a high-performing organization through hiring, mentorship, and technical leadership.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

The Software Development Engineer II will design and build backend services and APIs, improve system quality, and support onboarding of new engineers in a distributed systems environment.

Build and operate scalable database infrastructure for a multi-tenant SaaS data platform. Responsibilities include ingestion, query planning, distributed query execution, storage formats, APIs for AI-agent retrieval, tenant isolation, observability, and cloud-native deployment. The role requires architectural ownership, production software delivery, collaboration across product and infrastructure, and pragmatic decision-making in an early-stage, high-autonomy environment.

Owner of a portfolio of large regulated Partner accounts, responsible for revenue expansion, account strategy, and technical growth interventions. Combine account leadership, hands-on engineering (SQL, Python/Node, JS/TS, Vue/React), experimentation (A/B testing), and cross-functional collaboration to diagnose performance, build and ship fixes, and codify repeatable growth playbooks.

Lead multiple micro-sized engineering squads across frontend, backend, data, integrations, and AWS infrastructure. Own capacity planning, project sequencing, delivery standards, stakeholder trade-offs, sprint execution, operational health, and technical debt reduction. Coach engineers and technical leaders, support project rotations, promote AI-assisted development, and build an accountable, adaptable engineering culture focused on reliable business outcomes.

Build and scale data platforms, ETL pipelines, data lakes, warehouses, feature stores, and orchestration tooling. Integrate clickstream, relational, and unstructured data using Databricks and AWS. Partner with data scientists, ML engineers, product managers, and business stakeholders to support analytics, predictive modeling, and data-driven decisions. Maintain production systems, automate testing and monitoring, and communicate technical roadmaps and challenges.

Own Klue’s platform engineering, infrastructure, Kubernetes, CI/CD, observability, security controls, compliance automation, and cloud cost optimization. Build reusable Pulumi components, operate GKE, improve developer self-service, reduce operational toil, strengthen software supply-chain security, and support SOC 2 readiness. The role requires hands-on production systems experience, on-call participation, strong cloud and Kubernetes expertise, and ownership of scalable internal platforms.

Develop new products and enhance existing SaaS applications across the full stack. Responsibilities include system analysis, solution design, coding, documentation, feature delivery, secure development, process improvement, and collaboration with stakeholders. The role also involves mentoring engineers, maintaining coding standards, estimating delivery timelines, and owning large-scale services. The developer will work with C#/.NET, React/TypeScript, REST APIs, SQL, AWS, Azure, microservices, DevOps practices, and CI/CD pipelines.

Build and maintain internal HR-focused tools, dashboards, portals, web applications, reports, integrations, and workflow solutions. Use AI-assisted development tools, administer Databricks, support cloud and database integrations, document solutions, troubleshoot deployed tools, and coach non-technical stakeholders on AI-enabled workflows. Collaborate with product engineering to deliver secure, maintainable software in a hybrid internship with potential full-time conversion.

Design, implement, test, and operate end-to-end features for a production fintech platform. Lead technical design, write specs, mentor engineers, conduct reviews, and drive cross-team collaboration. Ensure reliability, security, observability, and participate in on-call rotations to own production systems.

Build complex, high-performance web applications and scalable frontend architecture for AI-driven workflows. Responsibilities include developing reusable components, collaborating with product, design, and backend teams, optimizing accessibility and performance, participating in technical planning and code reviews, and shaping product experiences. The role requires strong JavaScript and TypeScript skills, frontend framework experience, modern build tooling, and end-to-end testing expertise.

Design, build, and deploy scalable, secure data solutions on-premise and in Azure. Collaborate with engineering, security, and ops to implement modern data practices (Databricks, Snowflake, Python, SQL), produce solution designs, support project delivery, and promote DevSecOps and cloud best practices.

Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

Build and operate backend infrastructure, APIs, and distributed services that process grid telemetry and execute real-time energy optimization decisions. Own systems end to end, including architecture, implementation, production reliability, debugging, code review, technical writing, pairing, and mentoring. Develop highly reliable, low-latency software for physical energy systems while helping establish engineering standards and AI-assisted coding practices.

Own Dutch’s product analytics and data engineering foundation, including event instrumentation, Segment and Amplitude pipelines, Snowflake and dbt models, orchestration, data quality, governance, and semantic metrics. Partner with product managers on experimentation, build dashboards and data marts, optimize infrastructure and costs, and provide trusted data for AI-powered features. This senior individual contributor role requires strong SQL, Python, analytics engineering, experimentation, and modern data stack expertise.

Build and launch customer integrations on Suger’s API-first revenue platform. Responsibilities include technical discovery, API and workflow design, onboarding, troubleshooting backend and cloud systems, debugging with Engineering, documenting integrations, supporting sales, and shaping AI-powered automation for marketplace, billing, contracting, pricing, and compliance workflows. The role requires hands-on coding, enterprise customer collaboration, and translating technical concepts for technical and non-technical stakeholders.

Leads the architecture, development, reliability, governance, and scalability of batch and real-time data platforms. Designs pipelines, self-service tooling, observability frameworks, and disaster recovery practices; mentors data engineers; establishes engineering standards; and partners cross-functionally to enable trusted data access for analytics, data science, and product teams. The role also contributes to strategic roadmaps, platform innovation, technical debt reduction, and on-call support.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Leads enterprise data architecture strategy, standards, governance, target-state roadmaps, and modern data ecosystem design. Establishes models, metadata, taxonomies, data products, interoperability, and architectural guardrails. Partners with technology, data, analytics, and executive stakeholders to guide platform investments and modernization. Advances data quality, security, lineage, observability, AI readiness, and federated data product practices while mentoring architecture and engineering teams.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.