Top AWS Jobs in Vancouver

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

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.

Design and develop scalable microservices, provide technical leadership to scrum teams, lead technical evaluations, adopt AI tools to automate development, and implement ML/AI models and performance optimizations.

The Principal Solutions Architect engages with research labs, leads Proof of Concepts, conducts demos, addresses technical challenges, and drives customer success.

Build and operate low-latency, secure cloud and edge systems for real-time video streaming, AI analysis, and remote control of industrial devices. Ensure reliability, testing, deployment, and work closely with hardware and ML teams.

The role involves developing high-performance AI features for observability, rapid prototyping, and cross-functional collaboration, aimed at improving incident response and system behavior understanding.

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

Technical leader designing scalable APIs and agent interfaces for autonomous advertising agents. Build high-throughput real-time systems, evaluate agent protocols, drive architecture, mentor engineers, and integrate external ad platforms.

Lead design and implementation of front-end and back-end features for the digital banking platform. Build scalable, secure APIs, drive TDD and testing, refactor to reduce technical debt, collaborate with cross-functional teams and vendors, and mentor junior engineers while ensuring regulatory compliance.

The Senior Software Engineer will develop and integrate LLM-powered features, build AI capabilities for logistics operations, and collaborate with Data Scientists and ML Engineers to deliver AI solutions at scale.

The Senior DevOps and Security Engineer at Dotmatics will maintain and enhance cloud infrastructure, focusing on security and compliance, particularly ISO 27001, while supporting operational tooling and managing AWS services.

The Director of Engineering will lead a global technical team, oversee cloud-native SaaS solutions development, and ensure innovative architecture aligned with business needs.

The Senior Backend Engineer will lead the design and implementation of systems for a preventive medicine platform, focusing on backend services, architectural decision-making, and mentoring junior engineers.

As a Senior Software Developer at Hive, you'll build features, optimize performance, and collaborate on projects using modern technologies, impacting client engagement directly.

The Senior Staff Software Engineer will lead technical projects, mentor engineers, and drive the design of scalable SaaS solutions while collaborating across teams to enhance product features and performance.

The Sr. Software Engineer II will design, develop and maintain distributed systems, ensuring scalability, reliability, and performance while leading and mentoring team members.

The Product Engineer will build scalable features for an AI platform, ensuring data ingestion, transformation, and security while using best engineering practices.

This role involves designing and delivering e-commerce solutions, leading technical teams, and aligning technologies with business goals.

Build and maintain backend services, APIs, and data platform components; contribute to ELT/ETL pipelines (real-time and batch), integrations with data providers, testing, and cross-functional engineering projects with high ownership.

Own end-to-end product features for climate adaptation: build backend APIs, geospatial data pipelines and PostGIS-backed databases, and customer-facing React UI. Collaborate with product, design, and customers, mentor teammates, participate in on-call, and improve CI/CD, testing, and developer tooling to deliver reliable, user-driven capabilities.

Drive data-informed product and platform decisions by analyzing large datasets, building forecasts and statistical models, creating impactful visualizations, monitoring KPIs/OKRs, and partnering with product, engineering, and business teams to surface actionable insights that influence roadmap and strategy.

Lead onboarding and implementation of AISim solutions for strategic customers, design reference architectures and runbooks, enable secure cloud/LLM integrations, drive deployment best practices, provide technical escalation and root-cause analysis, and feed product engineering with customer insights to improve operability and adoption.

The role involves improving the billing and packaging system, working with Go services, GraphQL, and Google Cloud, while collaborating with various teams.

The Senior Full Stack Developer will enhance Practice Better's AI-powered platform by developing software solutions, collaborating with teams, and optimizing performance.

This role focuses on driving reliability improvements in a multi-cloud environment, involving hands-on engineering, strategic program ownership, and coaching teams through incident management processes.