Top AWS Jobs in Vancouver

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.

Support a major client project by automating CI/CD pipelines, managing cloud infrastructure, writing Terraform infrastructure code, and operating containerized environments (Docker, Kubernetes) to streamline software delivery and SRE/DevOps operations.

Design, build, and maintain scalable full-stack web applications and APIs using React, TypeScript, Next.js and Node.js. Own features end-to-end, collaborate with product and design, improve CI/CD and developer tooling, migrate legacy systems, and mentor junior engineers while leveraging AI-assisted development.

Owner of cloud infrastructure and reliability for a cloud-native platform: design and maintain Azure/Terraform infrastructure, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and support migration from legacy .NET/MSSQL to modern services.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

Design and implement backend services, APIs, CI/CD and cloud infrastructure using IaC and Kubernetes. Build internal developer tooling, define observability and security standards, lead incident response, and mentor engineers while applying AI tools to improve productivity and delivery.

Lead and grow a services engineering team owning backend systems, APIs, integrations, and operational reliability. Partner with product and operations to define customer-focused outcomes, drive technical direction across Python/Go/Ruby services, improve execution standards, remove blockers, and develop engineers. Measure success by customer value, system health, and team performance.

Design, build, operate, and maintain petabyte-scale product metrics systems that collect, store, and serve trillions of records. Ensure performance, reliability, availability, cost-efficiency, and delivery guarantees. Collaborate on roadmap and features, mentor teammates, participate in design discussions, and join on-call rotation to own production services.

Perform comprehensive manual penetration tests across web, API, mobile, internal/external networks, Active Directory, and cloud environments. Validate vulnerabilities, produce technical and executive reports, and work with clients on remediation and retesting.

Design, build, ship, and maintain end-to-end product features across frontend, backend, and data layers. Own projects from definition through production, improve reliability and scalability, collaborate with product and design, mentor engineers, and engage with customers to solve real user problems.

Proactively explore RevenueCat data to identify customer problems and opportunities. Translate ambiguous product questions into analyses and production-grade predictive/descriptive models. Partner with Product, Engineering, and Analytics to shape roadmaps, define experimentation and benchmarking approaches, deploy and iterate on models powering customer-facing features, and communicate insights across technical and non-technical audiences.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Design, implement, and govern enterprise network solutions across LAN/WAN/SD-WAN/wireless/data center/cloud. Provide technical leadership for delivery teams, lead architecture reviews, support client consulting and pre-sales, drive modernization (SD-WAN, cloud networking, Zero Trust), optimize operations, ensure security/compliance, and mentor network engineers.

As a Staff Software Engineer, you'll lead software infrastructure development, drive AI innovation, mentor engineers, and collaborate across teams to build advanced applications.

Design, implement, and govern scalable, secure enterprise infrastructure across cloud, hybrid, and on‑premises environments. Develop architecture roadmaps, standards, and governance; guide server, storage, virtualization, networking, and endpoint solutions; ensure DR, HA, security compliance; collaborate with stakeholders and mentor infrastructure teams.

Lead product strategy and execution for Redis Cloud across enterprise, digital-native, and AI customers. Define requirements, manage product lifecycle, work with customers and cross-functional teams, and drive launches, adoption, and technical decisions related to cloud infrastructure, data platforms, and AI workloads.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

As a Full Stack Engineer, you will develop frontend and backend features, write robust code, and collaborate with team members to meet project requirements.

Own and ship end-to-end full-stack features for a high-scale, AI-native publishing marketplace. Design APIs, optimize queries, deploy cloud-native apps, build LLM-powered capabilities, ensure security and privacy compliance, mentor engineers, influence architecture, and maintain reliability and performance under load.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

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

Lead and grow a platform engineering team focused on Infrastructure, SRE, and DevOps. Set technical direction, deliver platform roadmaps, oversee cloud infrastructure and deployment pipelines, build AI-powered internal tools, improve developer experience, own incident management and on-call sustainability, and collaborate with product, security, and compliance to ensure secure, scalable, observable systems.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.