Top AWS Jobs in Vancouver

Lead a team of engineers in software development, focusing on delivering quality solutions and managing projects through Agile methodologies while overseeing security and engineering excellence.

The role involves collaborating with engineers to deliver AI-powered agents, participating in team culture, and owning functional areas from development to production.

The Lead CDP Architect will strategize scalable architecture for Customer Data Platforms, ensuring compliance and data governance, while guiding a multidisciplinary team and delivering technical solutions.

We are seeking Full Stack Engineers to deliver AI-powered agents integrating within HR and Finance, contributing to the growth of AI capabilities.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

Develop cloud services for Autodesk Preconstruction, focusing on agile software development, feature projects, and service reliability.

Lead data engineering efforts focused on building scalable ETL pipelines and data lake infrastructure to support analytics and business intelligence needs. Collaborate with cross-functional teams to ensure data integrity and contribute to the future of the data team.

As a Full Stack Engineer, you will work on product initiatives, maintain relationships with product teams, and build features across the stack using various technologies.

Manage a team of Solutions Engineers focusing on enterprise accounts, drive technical sales for cloud security, and collaborate with sales and product groups.

The Staff Software Engineer leads and mentors teams, collaborates on product design, drives innovation and manages technical challenges while ensuring high-quality software solutions.

The Staff Data Engineer will design and maintain scalable data pipelines, lead a team of engineers, and ensure data integrity and governance at Jobber.

The Senior DevOps Engineer will design and optimize CI/CD pipelines, manage cloud environments, enhance security, and streamline development processes in a collaborative role.

As a Principal Software Engineer, enhance our AI-driven contract management platform, collaborating with cross-functional teams to build scalable solutions and mentor teammates.

The Solutions Architect designs and delivers cloud-based solutions for insurance clients, engaging with stakeholders to assess needs, ensure alignment with product goals, and guide implementation.

You will architect and implement scalable Customer Data Platform solutions, ensuring data governance, while leading a multidisciplinary team for client success.

The Build Engineer will manage CI/CD systems, automate game build processes, optimize workflows, and collaborate with game teams, focusing on efficiency and quality.

The Software Developer will design and maintain scalable backend services in .NET and develop front-end applications using React, leveraging AWS infrastructure and AI tools for improved development efficiency.

The Machine Learning Engineer will design, implement, and deploy ML models for character animation, collaborating with various teams and improving existing systems.

The Senior Cloud Infrastructure Developer will architect resilient AWS infrastructure solutions, implement IaC, optimize CI/CD pipelines, and enhance security while mentoring team members.

Design, build, and operate AI software systems, focusing on backend services and API integrations, working with machine learning engineers, ensuring security and compliance.

Design and develop API platforms, ensuring real-time data replication and automation. Collaborate with teams, establish best practices, and enhance performance.

The Senior Software Developer at ScalePad will enhance SaaS applications, mentor junior engineers, make technical decisions, and implement solutions using C# and SQL in an agile environment.

As a Senior/Principal Machine Learning Engineer, you will design and build core ML systems for Workday's AI agents, owning the entire lifecycle from problem framing to deployment and improvement, while collaborating cross-functionally to create scalable solutions.

Lead the design and implementation of ML models and systems for auto-labeling in robotics. Collaborate across teams and mentor junior engineers.

Lead IT audit engagements, manage technology risk assessments, strengthen IT control environments, and deliver solutions for clients in regulated industries.