Top AWS Jobs in Vancouver

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

Design, develop, and implement embedded software for IoT devices, collaborating with cross-functional teams while ensuring software reliability and performance.

The Staff Data Engineer will architect scalable data systems, enforce engineering standards, mentor teams, and drive real-time analytics at Life360.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

As a Systems Engineer, you will provide IT support, manage ticketing queries, maintain documentation, and adhere to change control procedures.

The Detection & CorpSec Engineer at Quora will build and maintain detection systems, strengthen corporate security controls, and respond to security incidents while collaborating with IT and advising non-technical teams.

Contribute to the reliability and performance of Mithril's GPU orchestration platform through automation, observability, and infrastructure management. Collaborate with the team to ensure scalability across multi-cloud environments while maintaining systems stability and implementing SLOs.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

As a Software Engineering Manager at Thanx, you'll cultivate a high-performance culture, oversee team delivery, drive innovation, and mentor technical talent.

Lead high-impact AI solutions, overseeing architecture and deployment. Partner with stakeholders, coach engineers, and drive project success from inception to launch.

Lead and coordinate Guidewire Cloud customers' path to production by developing and executing deployment and cutover plans, running dry runs, validating production readiness, coordinating resources and knowledge transfer, and improving deployment processes while acting as the primary customer liaison during go-live and post-production.

Act as the primary technical pre-sales lead for Quebec and European markets: conduct demos, workshops, technical discovery, and POC deployments; enable partners; support RFPs and strategic expansion; translate AI and data-security capabilities into business value; gather product feedback; build tailored demo environments; and travel regularly for customer and partner engagements.

Embed with enterprise customers to design, prototype, and ship production AI applications using Anthropic Claude. Architect agentic systems, build MCP servers and agent skills, advise on RAG/vector DBs and cloud integrations, run POCs, support sales, and enable the broader team with demos, playbooks, and technical guidance.

Design, provision, and manage cloud infrastructure using IaC (Terraform/Pulumi). Build and optimize Docker containers, CI/CD pipelines, container compute (EKS/GKE/ECS/Fargate/Cloud Run), serverless functions, networking, storage, and databases. Implement cloud security and compliance controls, automate operations with code (Go/Python/Node.js/Bash), and ensure monitoring and high uptime while working independently with cross-functional teams and clients.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Embed as the primary technical authority for post-sales customers to guide deployment architecture, onboarding, and adoption of agentic AI development workflows. Lead end-to-end onboarding and remediation engagements, design repeatable reference architectures, translate complex environments into secure network/identity/infrastructure patterns, capture product feedback, and document scalable delivery patterns to drive customer outcomes.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

As a Senior Machine Learning Engineer, you will create machine learning solutions, optimize models, and lead client projects using cloud technologies.

As a Reliability Engineer, you'll design, implement, and maintain AWS cloud environments, ensuring systems' reliability and performance, while enhancing monitoring and incident response capabilities.

The QA Analyst will conduct comprehensive testing of software applications, perform test execution, collaborate with developers, and support continuous testing practices.

The Senior Infrastructure Engineer will design and implement a high-reliability, high-throughput advertising platform, focusing on infrastructure, technical leadership, and incident response management.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The Senior Software Engineer, Backend is responsible for building APIs, ensuring system reliability, scalability, and contributing to company-building initiatives.