Top AWS Jobs in Vancouver

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

The candidate will act as the tech lead, managing projects and driving engineering quality, while contributing code and mentoring team members.

As a Software Engineer II, you will design and develop backend systems, integrate data pipelines, ensure operations availability, and collaborate with cross-functional teams.

The Advisory Solutions Consultant will support sales teams, understand customer needs, provide product demonstrations, and assist with RFP responses in the Identity Security domain.

Responsible for the reliability and scalability of Dropbox's multi-cloud network. Collaborates with different engineers to design and automate network infrastructure across cloud environments.

The Sr. Manager, Product Security leads the Platform Security team at Affirm, focusing on securing cloud infrastructure and applications, leading security initiatives, and promoting a security culture.

The Data Operations Engineer will ensure the stability and performance of the data platform, manage data pipelines, monitor incidents, and optimize data quality and infrastructure.

Responsible for setting technical strategy, managing backend systems development, ensuring operational availability, and fostering team culture and talent development.

The Senior Site Reliability Engineer will help build, scale, and run applications on MongoDB Atlas, contributing to a supportive culture and employee growth.

The Senior Software Engineer will develop software solutions, enhance tools and systems, mentor junior engineers, and manage infrastructure deployments.

As a Senior Software Engineer on the Cash App Card team, you will lead the design and execution of new card experiences, collaborate with cross-functional teams, and drive architectural improvements.

Lead the development and delivery of new card ordering and management experiences while ensuring high engineering standards and mentoring teammates.

Design and deploy machine learning models to combat financial crimes while collaborating with stakeholders and maintaining compliance with regulations.

Lead the development of automated testing frameworks integrating AI methodologies, mentor other engineers, and collaborate with cross-functional teams to ensure product quality.

As a Senior Software Engineer at Proto, you will architect and lead development for mining infrastructure, mentor engineers, and drive technical strategy.

Lead and manage the FinPlat data engineering team, overseeing data warehouses and lakehouses, collaborating on data strategies, and ensuring quality data products for financial operations.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

Participate in software development, focusing on cloud-based services; develop scalable code with unit tests, lead technical projects, and mentor team members.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As Sr. Platform Engineer, you will develop tools and frameworks for Aha! engineers, optimize performance, and manage AWS infrastructure.

The Staff Software Engineer will lead IAM technology, architect scalable authorization systems, ensure service-level outcomes, and mentor other engineers.

Lead and define strategic alliances at Bounteous, focusing on partnerships that drive growth and value. Manage alliances, business plans, and governance, while promoting information security awareness and compliance with data protection standards.

As a Sr. Security Engineer, you'll advise on security requirements, build trust with customers, and collaborate on technical risk mitigation throughout sales processes.

Lead the development of machine learning systems for fraud detection and risk modeling at scale, collaborating across teams and influencing ML strategy.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.