Top AWS Jobs in Vancouver

Lead and manage global software engineering teams to drive technical initiatives, ensuring high-quality delivery of scalable products while fostering a culture of innovation and accountability.

Design and implement high-throughput database integrations and replication into ClickHouse. Improve system reliability, debug production issues using observability tools, write documentation, participate in on-call rotation, and collaborate with customers and cross-functional teams to drive product improvements.

The Senior Data Engineer will develop and deploy machine learning models, build end-to-end ML pipelines, optimize performance, and collaborate across teams to enhance AI capabilities at ClickUp.

The role involves designing and deploying AI applications, leading development projects, and mentoring engineers while collaborating with experts in a healthcare-focused environment.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

The AI Solutions Architect leads AI integration, designs scalable solutions, defines architecture strategies, collaborates with stakeholders, and enforces governance across AI projects.

The Principal Incident Response Engineer leads proactive and reactive incident response engagements and training, reviews incident response plans, and guides customers in cyber incident management.

Seeking a Sales Engineer to build relationships, promote fraud and identity solutions, lead technical presentations, and collaborate with sales teams to drive customer success.

The Software Engineer II will develop backend services and maintain critical infrastructure for authentication and analytics, collaborating with cross-functional teams to enhance platform capabilities.

As a Senior Software Engineer at Unblocked, you will architect and build core systems, manage scalable data pipelines, integrate with APIs, and ensure system security while mentoring others.

The ML Infrastructure Engineer will build and maintain ML systems, manage production workflows, automate deployments, and support data scientists with scalable infrastructure.

Seeking a Data Scientist / ML Engineer to design, build, and maintain scalable machine learning systems, focusing on neural network improvements and ML architecture. Responsibilities include development and deployment of ML models, data pipelines, and MLOps implementation.

As a Senior Software Development Engineer, you'll design and build AI-powered backend services, APIs, and data pipelines while ensuring system scalability, security, and performance.

The role involves leading the design and development of core platform features, building scalable backend services, managing front-end features, and collaborating across teams to enhance the contract lifecycle management software.

As a Staff Platform Engineer, you'll build and maintain enterprise software applications, collaborate with teams, and improve code quality in a cloud-native environment.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

The Senior Sales Engineer will partner with customers to provide technical education on WEKA's solutions, assist with evaluations, and deliver presentations and demos, acting as a technical adviser while contributing to technical documentation.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Seeking a Fullstack Software Engineer skilled in Node.js and Next.js to develop an AI influencer marketing agent, focusing on scalable systems and API architecture.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

As a Senior Fullstack Engineer, you'll design and develop healthcare AI applications, architect scalable solutions, collaborate with teams, and optimize performance.

The Senior Full Stack Engineer will design and develop fintech applications, mentor teams, and advise clients on best practices while ensuring security and compliance.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

As a Computer Vision Engineer, you'll develop software pipelines for image and video inference, improving fish farm efficiencies using deep learning and computer vision techniques.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.