Top AWS Jobs in Vancouver

Lead and grow the Core Workspaces engineering team, set technical direction, and contribute to architecture and implementation. Build reliable, extensible agentic systems involving agent execution, tool use, context management, streaming, integrations, and long-running workflows. Partner with Product and Design to improve developer experiences while coaching engineers, raising technical standards, and optimizing reliability, performance, and operability.

Design and operate scalable, cloud-native data pipelines and orchestration systems for imaging, biomarker, and healthcare data. Build Databricks and distributed processing workflows, integrate DICOM data into data lakes, and implement validation, observability, monitoring, and fault tolerance. Collaborate with data science, AI, R&D, product, and data management teams to deliver secure, compliant, reliable data for analytics and machine learning.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Build and maintain scalable backend services using TypeScript and NestJS, design REST and GraphQL APIs, model data in PostgreSQL, implement microservices with CQRS and Clean Architecture, collaborate in Agile teams, write testable maintainable code, and participate in code reviews and architectural decisions.

As a Staff Performance Engineer, you will automate performance tests, resolve bottlenecks, improve automation frameworks, and collaborate with teams to enhance system performance across various platforms.

Own and operate the delivery platform and embed with an engineering team to improve deployment automation, CI/CD, GitOps, IaC, and production reliability. Lead AI-augmented ops (runbooks, alerting, incident response), build environments, set standards, tune streaming and datastore infrastructure, and mentor teams while tracking DORA and reliability metrics.

Design, build, and modernize scalable backend systems on a mature Ruby on Rails platform. Own architecture, APIs, and data models; diagnose production issues with AWS and Datadog; lead design discussions, review code, mentor engineers, and drive platform-wide technical improvements.

Design and implement ServiceNow architecture to enhance operational efficiency for enterprise clients, ensure compliance, and provide technical leadership.

As a PostgreSQL Database Support Engineer, you'll assist DBA teams with troubleshooting, create knowledge base articles, and author community blogs while focusing on performance tuning and high availability solutions.

Responsible for developing UI front-end code using Svelte, transitioning from Angular, and maintaining innovative product features while meeting tight deadlines.

Lead research, design, and implementation of large-scale cloud data ingestion, preprocessing, distributed training, and benchmarking for geospatial foundation models focused on agriculture. Contribute to model architecture, fine-tuning, tooling, documentation, and Agile development processes.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

As a Senior Fullstack Software Engineer, you'll develop data-driven products, ensuring robust user experience and scalable infrastructure. Engage with multi-year visions while leveraging modern web and cloud technologies.

As a Fullstack Software Engineer, you will develop scalable data insights solutions, emphasizing user experience and leveraging modern technologies.

Own strategic enterprise accounts throughout onboarding, implementation, adoption, retention, and renewal. Lead customer kickoffs, configure cloud marketplace listings and integrations, provide training and support, resolve or triage issues, identify expansion opportunities, maintain account health records, and collaborate with Sales, Product, Engineering, and Account Management. Contribute to customer documentation, playbooks, help content, and scalable customer success processes.

Own and operate a cloud data platform, including ingestion, transformation, orchestration, serving, governance, lineage, and data quality. Build automated reporting, AI-assisted workflows, feature pipelines, and predictive-use-case infrastructure. Develop production-quality code, CI/CD, testing, observability, access controls, PII classification, versioning, and MLOps controls. Collaborate with engineering, product, finance, security, and other stakeholders while managing system cost, latency, reliability, and model risks.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Lead and mentor engineering teams to design, architect, and deliver scalable, maintainable software. Drive cross-team initiatives, partner with Product and Design, participate in code reviews, promote engineering best practices, and spend time on Staff Dev Projects to reduce technical debt and explore emerging technologies.

Lead a full-stack engineering team building customer-facing, revenue-generating features on Quandri's AI-driven insurance platform. Define technical vision and roadmap, design and implement frontend/backends, databases and APIs, ensure architecture/security/observability, mentor and hire engineers, and drive engineering culture and operational excellence.

Build, validate, and maintain multi-product cybersecurity demo, training, and QA labs. Lead cross-product integration, migrate demos to private cloud, perform hands-on validation, and support technical sales, partners, and training with CI/CD, cloud, and security tooling.

Manage and maintain high-availability, high-traffic FortiCloud services: administer Linux servers and virtualized environments, monitor VMs/containers/Kubernetes, build CI/CD pipelines, manage PostgreSQL/CockroachDB and Redis clusters, automate provisioning with Ansible/Terraform/Helm, troubleshoot networking and security issues, and provide on-call support to ensure reliability and security.

Provide post-sales technical escalation and DevOps support for Fortinet deployments in virtualized and cloud environments. Troubleshoot tickets, reproduce customer issues in test environments, develop best practices, document recurring problems, and advise product and documentation teams on interoperability and optimal configurations. May include occasional after-hours on-call support in the future.

Build and own Apera’s cloud platform for securely connecting, deploying, monitoring, and updating robotic vision devices. Responsibilities include designing secure device connectivity, enterprise access controls, cloud migration, deployment authorization, field data pipelines, cost attribution, lifecycle policies, compliance infrastructure, and self-service internal tooling. The role requires strong AWS, infrastructure-as-code, networking, identity, Python, orchestration, observability, and multi-tenant platform experience.

Design, build, and operate Rust services powering Scribd’s large-scale Content Library and core infrastructure. Own features end to end, evolve Python tooling, optimize DataFusion, Parquet, S3, caching, and PostgreSQL/Aurora systems, and strengthen governance through lineage, authorization, and deletion controls. Lead cross-functional technical projects, support platform users, mentor engineers, improve developer workflows, and maintain production reliability through observability, on-call, and incident response.

Own and operate infrastructure for a large-scale sports betting and media platform across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and incident response, support development teams, troubleshoot distributed systems, reduce operational toil, and mentor engineers.