Top AWS Jobs in Vancouver

The Technical Architect is responsible for designing and implementing scalable solutions, engaging with customers and vendors, and mentoring engineering teams. They must contribute code and ensure successful delivery while maintaining a hands-on approach.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

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

Lead platform engineering to improve developer productivity, CI/CD, build systems, monorepo health, and internal tooling (80%); contribute to product features, scalable APIs, and AI-native marketplace infrastructure (20%).

Lead design and delivery of cloud-based data architectures and ETL/ELT pipelines for marketing analytics. Advise clients, integrate marketing data, build and optimize pipelines and reusable models, ensure data quality/security, mentor team members, and align technical solutions to business goals.

Lead analytics and experimentation for the More Rewards loyalty program. Design and run A/B and multivariate tests, build data pipelines and predictive models using SQL and Python, create Power BI dashboards, collaborate with stakeholders and data engineers, mentor analysts, and deliver actionable insights from large, cloud-based datasets.

The DevOps Engineer will enhance Later's cloud infrastructure and MLOps capabilities, focusing on AWS, Kubernetes, CI/CD processes, and automation to support application delivery and data workflows.

The Senior Frontend Engineer will design and build scalable dashboards and data exploration tools, focusing on user experience, performance, and collaboration with cross-functional teams.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Own partner-sourced and self-sourced enterprise sales motions: convert Anthropic/AWS partner leads to signed SOWs, prospect new logos in Financial Services and Life Sciences, run full sales cycles, maintain joint pipelines and co-sell activities, and coordinate with delivery and architecture teams to scope consulting engagements.

Develop and deploy generative AI and LLM solutions end-to-end for e-commerce: research models, build ETL/data pipelines, run distributed training and experiments, collaborate with product and engineering to deliver production systems that improve recommendations, search, personalization, and customer interactions.

Build reusable client-side JavaScript/CSS SDKs and multi-tenant frontend architecture. Develop high-performance React/Next.js applications with Tailwind CSS, implement SSR/SSG/ISR, integrate with REST/GraphQL backends, optimize performance, and support backend data modeling, cloud deployment (AWS/GCP), CI/CD, and production monitoring.

Lead design, build, and deployment of production-grade Databricks data platforms across AWS/Azure. Architect scalable ETL/ELT pipelines with Spark/PySpark, manage Delta Lake and Unity Catalog, implement CI/CD and IaC, provide client-facing technical leadership, and mentor engineering teams.

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

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity with tooling and AI-assisted workflows, and migrate legacy systems into modern platforms.

Drive technology strategy and architecture across the product portfolio, delivering scalable, secure cloud-native SaaS and endpoint solutions. Champion AI-driven approaches, lead design reviews and PoCs, provide technical leadership, collaborate with product and business stakeholders, and support production systems including on-call troubleshooting and root cause analysis.

Design, develop, test, and deploy scalable full-stack applications. Build Python backends, TypeScript frontends (Angular/React), REST APIs and microservices, integrate databases, use AWS for deployment, contribute to CI/CD, troubleshoot production issues, and follow best practices and testing processes.

Build and maintain AWS infrastructure using Terraform, CI/CD pipelines with GitHub Actions, and multi-region Kubernetes clusters. Improve Helm charts, observability, security, and developer experience while collaborating with product teams and participating in business-hours on-call rotation.

Design, build, train, and deploy production ML models and scalable pipelines. Implement MLOps practices, observability, governance, and lineage. Optimize model performance and costs, collaborate with product, risk, and engineering teams to integrate ML features into production systems.

Lead technical strategy and architecture for backend systems, drive cross-functional delivery from prototype to production, improve cost/performance/reliability/security, mentor engineers, and translate AI and emerging tech into actionable roadmaps.

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

Lead enterprise architecture strategy and governance across business, data, application, security, and infrastructure domains. Define target-state models and multi-year roadmaps, guide solution and systems architects, oversee large-scale modernization (cloud, network, fibre, satellite), enforce standards, support procurement and governance, and advise senior leadership on risks, costing, and architecture decisions.

Design and govern enterprise infrastructure architectures across data centers, networks, storage, compute, and cloud (Azure/AWS/GCP). Lead hybrid cloud migrations, create solution blueprints, enforce security-by-design, collaborate with engineering teams, and maintain architecture artifacts and roadmaps supporting modernization.