Top AWS Jobs in Vancouver

Lead client-facing integrations and implementations for an AI-native, compliance-focused travel platform. Design, build, and operate backend services, event pipelines, and data services on AWS. Ensure auditability, encryption/key management, consent and data lifecycle handling, and translate client feedback into product improvements while shaping architecture and early hiring.

Full‑stack software development for Tempo flagship products: implement frontend and backend features, write tests, review code, design APIs, optimize performance and scalability, work with product, design, QA, and docs teams, and operate in a remote, collaborative environment using cloud and Kubernetes.

Develop server-side applications using Kotlin and Java, collaborate with teams to enhance Atlassian plugins, and ensure code quality through testing and reviews.

The Principal Technical Product Owner will lead the DoiT Partner Platform, driving strategy, execution, and mentoring product owners while leveraging expertise in cloud operations and billing systems.

Own and improve AWS infrastructure and platform services using IaC (Terraform/Terrateam). Support reliable cloud and Kubernetes deployments, enhance observability (metrics, logs, tracing), troubleshoot distributed systems, create standards and documentation, and partner with engineering teams on scalable, resilient design.

Build and operate backend services for vehicle telemetry and control: design and deliver features in Go/Python/Rust, manage high-scale analytical stores and migrations, implement stream processing and tiered storage, ensure observability and production ownership, and collaborate across teams to support fleet-scale vehicle data systems.

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.

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.

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.

Hands-on IT Systems Engineer responsible for endpoint management, identity and access administration, cloud and network support, infrastructure-as-code, compliance (SOC2/FedRAMP/CMMC), automation, and documentation. Own device lifecycle, IdP provisioning, VPN/segmentation, Terraform IaC, audit responses, and cross-functional IT initiatives to scale secure corporate operations.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

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.

The Full Stack Engineer will develop and enhance a web-based dashboard platform, focusing on both frontend and backend systems, ensuring seamless data flow to AI models and clients. Responsibilities include creating user interfaces, RESTful APIs, secure data storage, and collaborating with teams on feature development.

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

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.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

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.

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

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.

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

Lead and manage AI teams to design, train, deploy, and operate production-grade ML and generative AI systems for security detection and response. Define AI roadmap, partner with product and platform teams, uphold secure MLOps practices, mentor staff, recruit talent, and deliver scalable, observable AI integrated into production cloud environments.

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