Top AWS Jobs in Vancouver

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

The Systems Engineer will design, build, and maintain AWS infrastructure, enhance CI/CD pipelines, and mentor team members while focusing on cloud optimization and automation.

Lead and build Motive's developer platform and AI-driven development lifecycle: cloud agent infrastructure, CI/CD and build systems, developer experience, testing frameworks, multi-region security and cost controls, and a manager-of-managers organization to increase velocity, reliability, and adoption across hundreds of engineers.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Build and scale distributed backend services for growth infrastructure (notifications, referrals, targeting, lifecycle communications, ML ranking). Design resilient service-oriented systems on cloud, ship well-tested production code, run growth experiments/A-B tests, improve developer tooling and shared platform capabilities, and collaborate cross-functionally to deliver measurable acquisition and retention impact.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Leads the Infra Foundations engineering team, setting its roadmap, mentoring engineers, and maintaining reliable AWS foundations. Owns account provisioning, networking, IAM, infrastructure-as-code automation, GitOps workflows, quota management, patching, configuration management, incident response, and security collaboration. Establishes operational standards, drives self-service tooling adoption, and ensures infrastructure frameworks are safe, consistent, and dependable across teams.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

Leads end-to-end architecture for complex cloud, data, and AI/ML systems. Defines technical strategy, designs scalable multi-cloud and hybrid solutions, establishes infrastructure-as-code and DevOps standards, drives migrations and modernization, and optimizes performance, cost, security, and reliability. Partners with clients and leadership, documents architecture, mentors engineers, evaluates emerging technologies, and serves as a technical escalation point for complex integration challenges.

Ensures the stability, security, and efficient operation of cloud and on-premises infrastructure. Responsibilities include designing and deploying systems, managing Azure, AWS, and GCP environments, integrating servers and enterprise services, maintaining identity and networking platforms, conducting audits and disaster recovery procedures, monitoring performance, troubleshooting issues, coordinating vendors, documenting configurations, and supporting end users. The role also contributes to systems planning, governance, testing, optimization, and cloud-hybrid infrastructure strategy.

Lead end-to-end ML lifecycle: data exploration, model training, evaluation, deployment, and monitoring. Design and scale batch and real-time feature pipelines, partner cross-functionally to productionize models, implement MLOps (CI/CD, retraining, drift detection, observability), and mentor engineers to maintain high code and system quality.

The role involves architecting AI solutions, optimizing ML systems, and deploying advanced retrieval frameworks. Engineers will lead ML lifecycle from research to production, collaborating across teams to build AI-first products.

Own platform quality, architecture, security, compliance, technology adoption, and production improvements. Design and ship health report products with scientific product partners. Apply deep expertise in distributed systems, database design, or message-driven architectures, while using AI tools responsibly and reducing platform complexity through migrations, deprecations, or refactoring.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

Lead technical sales engagements for enterprise customers across Zoom’s UCaaS platform. Responsibilities include technical discovery, solution design, custom demonstrations, proofs of concept, executive presentations, RFP/RFQ support, competitive analysis, and translating customer needs into product recommendations. The role partners with enterprise account executives, product managers, and engineering teams while advocating for customers and showcasing cloud, collaboration, communications, and AI solutions.

Build and operate full-stack product experiences using React, TypeScript, Node.js, GraphQL, PostgreSQL, and related technologies. Own projects from discovery through launch and iteration, design scalable systems, improve performance and reliability, use AI-native development tools, collaborate cross-functionally, participate in on-call, and mentor engineers. The role is based in the Haeundae, Busan office Tuesday through Friday, with remote work on Mondays.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Build and maintain a secure, scalable SaaS platform on AWS using Python and distributed systems technologies. Own backend development, infrastructure automation, DevOps, CI/CD, networking, security architecture, troubleshooting, and operational excellence. Architect reliable systems, develop prototypes, make technical decisions, and mentor teammates while delivering high-quality solutions under aggressive timelines.

Build, launch, and maintain gameplay features for Driving Empire on Roblox. Responsibilities include writing performant Roblox Lua code, designing scalable systems, translating product requirements into technical tasks, collaborating with designers and artists, monitoring live features, improving reliability and workflows, participating in code reviews, and playtesting to improve player experience.

Owns end-to-end data infrastructure, including secure data lakes, streaming applications, data warehouse systems, replication and change data capture pipelines. Responsibilities include architecture, deployment, maintenance, performance optimization, security controls, documentation, operational runbooks, and cross-functional partnership with analytics and product teams. The role requires strategic data infrastructure thinking and production experience in SaaS or data-heavy environments.

Develop and maintain frontend applications, backend services, REST APIs, database integrations, cloud-native components, event-driven services, and background workloads. Build automated tests, manage CI/CD pipelines and containerized deployments, troubleshoot production issues, and provide deployment support. Collaborate with Agile teams, product stakeholders, and clients while independently contributing to an established architecture and codebase.

Staff Software Engineer responsible for setting technical direction, leading complex initiatives, partnering with product and design, mentoring engineers, and owning reliability, performance, observability, and on-call operations. The role spans backend data models and asynchronous processing through frontend design systems and visualizations. Required experience includes 10+ years of full-stack software development, Ruby, PostgreSQL, React, TypeScript, scalable relational systems, and AI-assisted development practices.

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

The Backend Engineer will build and maintain Resend's email transport infrastructure, focusing on SMTP delivery, routing, and system design for high-volume email sending. They will ensure the reliability and observability of the systems while participating in incident response.