Top AWS Jobs in Vancouver

Develop predictive and generative NLP pipelines using clinical data; support digital health application engineering, cloud infrastructure, machine learning research, clinical tool evaluation, scientific writing, and coordination of student developers. The role collaborates with physicians, patients, researchers, and software developers in psychiatry and supportive cancer care research.

Design, develop, launch, and maintain scalable backend systems and APIs used by partners and merchants. Collaborate with engineering teams and stakeholders, balance delivery speed with system quality and reliability, navigate large codebases, debug software, conduct code reviews, and write clear, tested, extensible code using distributed-systems technologies.

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, workflow automation, evaluation, and observability capabilities. Work hands-on with Python, SQL, dbt, lakehouse data, cloud infrastructure, model selection, and inference-cost optimization. Establish reusable engineering patterns and mentor teams through high-quality code and system design.

Leads the design, development, maintenance, and technical direction of a scalable insurance SaaS platform. Works across .NET back-end and Vue/React front-end technologies, optimizes performance, enforces coding and security standards, leads code reviews, resolves bugs, and mentors developers. Collaborates with product, design, and engineering teams on architecture, requirements, testing, cloud infrastructure, microservices, and continuous platform improvement.

Build and operate backend infrastructure and APIs for stablecoin-based payments, deposits, withdrawals, and transfers. Own projects from system design through production, improve distributed-system performance and reliability, collaborate with Product, Design, Infrastructure, and Compliance, and contribute to engineering quality through reviews and architectural best practices. The role requires blockchain integration experience and responsible use of generative AI.

Partner with R&D and engineering leaders to manage Cloud, Cellular, and AI infrastructure costs. Analyze financial results, produce management reporting, support month-end close, build forecasts, improve reporting models, develop performance KPIs, and drive annual operating plan planning. The role also involves cost optimization, financial modeling, cross-functional collaboration, and using AI tools to streamline reporting and analysis.

Leads Samsara’s Quality Engineering and Test Infrastructure organization, setting strategy and building scalable testing platforms, automation frameworks, environments, simulators, test data systems, and CI/CD integrations. Establishes quality metrics, improves regression prevention and release confidence, reduces flaky tests and feedback times, and partners across engineering and product teams. The role also includes AI-assisted testing initiatives, exploratory validation, organizational leadership, hiring, coaching, and developing engineering managers and senior individual contributors.

Lead international integration engineering by architecting scalable distributed systems and an AI-powered development harness for partner integrations. Guide technical strategy, mentor engineers, review architecture and code, establish development and deployment best practices, and deliver production solutions. Collaborate with product, design, QA, UX, and partner engineering teams while using Java, Kotlin, event-driven messaging, and cloud technologies.

Develops machine learning and statistical tools for fisheries catch analysis, modernizes data-processing workflows, integrates and validates large biological datasets, and builds visualization tools for the Sea Around Us database. The role creates end-to-end data science models, establishes reproducible data-quality protocols, provides technical guidance, coordinates research projects, and communicates findings through reports, presentations, and training materials.

Develop and maintain public-facing web properties, internal applications, and platform features using PHP, JavaScript, and CSS. Optimize performance, security, and scalability with AWS and AWS Lambda, troubleshoot production issues, support AI integrations, and contribute to Scrum ceremonies and release management. Collaborate with engineering teams to deliver clean, maintainable code for high-availability financial and regulatory technology platforms.

Lead backend development: design, build, and maintain .NET backend services and RESTful APIs, own backend architecture and API strategy, improve performance and reliability, drive code quality and CI/CD, mentor engineers, collaborate with frontend/product/devops, and share ownership of production health and incident response.

Develop machine learning and statistical models for recommendations, predictions, classification, personalization, anomaly detection, and other B2B SaaS features. Perform data exploration, feature engineering, experimentation, model evaluation, and advanced analytics. Collaborate with product, data, and AI engineering teams to deploy production-ready models, build reproducible pipelines, monitor model performance, and communicate insights. Contribute to ethical, interpretable, robust, and scalable AI solutions.

Provides hands-on technical leadership for Benevity’s data platform. Designs and builds streaming and batch pipelines, AWS lakehouse and medallion architectures, semantic layers, governed data products, metadata systems, and developer tooling. Establishes data contracts, lineage, quality, observability, and CI-enforced governance while modernizing warehouse environments. Partners with architects and product stakeholders, leads technical strategy, develops proof of concepts, documents architecture, mentors engineers, and applies AI-assisted development practices.

Operate and scale high-throughput NGINX and Kubernetes ingress infrastructure supporting Ruby on Rails and Go API services. Partner with product engineering teams on resilient architectures, SLIs, SLOs, error budgets, systems design, and capacity planning. Participate in PagerDuty on-call rotations, lead incident response and blameless retrospectives, improve runbooks, and automate production operations for reliability and availability.

Designs and operates cloud infrastructure, distributed systems, CI/CD pipelines, Kubernetes and EKS environments for a high-scale SaaS platform. Responsibilities include infrastructure automation, capacity planning, performance optimization, monitoring, alerting, security, infrastructure as code, developer productivity tooling, and maintaining highly available systems. The role collaborates closely with developers and platform engineers to deploy reliable, scalable services across AWS and GCP.

Leads a global DevOps team responsible for infrastructure development, toolchain modernization, CI/CD optimization, release automation, development environments, security integration, and operational support. The role manages legacy-to-modern platform migration, improves developer productivity, establishes engineering standards, prioritizes technical debt, and collaborates with IT and product teams. Candidates need DevOps or development experience, team leadership, Agile knowledge, Jira proficiency, and strong communication skills.

Build and operate scalable full-stack features for Evisort’s AI-driven contract management platform. Collaborate with engineering, data science, product, and design teams to deliver user-centric SaaS solutions. Own functional areas from development through production, apply strong engineering and DevOps practices, contribute to roadmap and architecture decisions, mentor teammates, and translate complex problems into clear solutions in an agile environment.

Owns the infrastructure, security, governance, deployment lifecycle, and integrations for Benevity’s internal applications. Responsibilities include managing AWS environments, access controls through Okta, vulnerability remediation, application inventory, integration standards, reusable API integrations, application migrations and retirements, and collaboration on AI tooling. The role also develops internal applications and supports Workato, BigQuery, dbt, Fivetran, and Tableau platforms.

Provides Level 2 and 3 technical support for Imperva customers, resolving security and networking issues, escalating complex cases to Engineering, analyzing support trends, and advising on deployments. Mentors Level 1 engineers, develops knowledge-base content, stays current on product technologies, and collaborates with Product, QA, Sales Engineering, partners, and customers. The role requires coverage of a Sunday-to-Thursday shift.

Build and operate full-stack features powering AI agents within HR and Finance workflows. Own user-facing experiences and backend services through production, collaborate with machine learning engineers and product teams, apply distributed systems and cloud engineering practices, and mentor teammates. The role requires Python web development, relational databases, SaaS experience, containerization, DevOps, testing, and observability expertise.

Lead and mentor a 5–7 person engineering team responsible for Travel partner integrations, embedded protection products, hosted purchase flows, and travel ancillaries. Translate product goals into technical roadmaps, guide architecture and delivery, promote operational excellence, and ensure reliable microservices-based systems. Drive responsible adoption of AI-assisted development tools while partnering with product, design, engineering, and external partner teams.

Serve as the analytics and data science partner for Workday Data Cloud, connecting demand, sales pipeline, product usage, and consumption-based pricing. Investigate ambiguous business questions, derive decision-ready insights, create visualizations and executive narratives, and advise senior stakeholders. Build curated data assets, improve data connections and pipelines, address instrumentation gaps, and collaborate with Product, Engineering, and GTM teams to support strategic growth and data-driven decision-making.

Build and maintain front-end features for an AI-driven contract management SaaS. Collaborate with engineers, data scientists, product, and design; own functional areas from development to production; mentor teammates; apply modern dev practices to deliver scalable, user-centric solutions.

Develop and productionize fraud detection machine learning models using large-scale behavioral, device, network, and transaction data. Lead investigations into complex fraud attacks, reconstruct attacker behavior, identify trends, and produce technical reports and customer-facing insights. Collaborate with product, engineering, operations, legal, executives, and customers to improve detection systems and automate analytic workflows.

Monitor, investigate, and respond to cybersecurity and financial fraud incidents, including account takeovers, EFT anomalies, suspicious activity, and impersonation. Lead triage, root-cause analysis, threat hunting, detection improvement, and incident response playbook development. Use automation and AI/ML to strengthen fraud detection and security operations. Collaborate with Legal, Finance, and business teams while mentoring junior analysts and improving operational processes.