Top AWS Jobs in Vancouver

Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.

Lead technical strategy and execution for a full-stack card experiences team. Design and launch scalable backend systems and web or mobile applications, collaborate with product, design, analytics, risk, and operations, and own features from problem definition through production monitoring. Improve reliability, on-call operations, code quality, and technical standards while mentoring engineers and applying AI thoughtfully.

Lead the creation of Babylist’s in-house search platform from zero to production. Own architecture for indexing, retrieval, ranking, query understanding, personalization, quality measurement, and conversational search. Set technical and product direction, drive cross-team initiatives, build scalable platforms, partner with product, design, data, and AI teams, and coach senior engineers. The role requires hands-on production search experience, strong system design, user-focused experimentation, and ownership of measurable customer and business outcomes.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Build and launch full-stack customer-facing features and backend services for Affirm Card. Collaborate with product, design, analytics, and engineering teams; design scalable APIs, support distributed systems, monitor service reliability, participate in on-call operations, review code, and contribute to technical planning and team development.

Own and evolve Babylist’s AWS infrastructure, Kubernetes platform, Terraform IaC, CI/CD systems, observability, and developer tooling. Build secure infrastructure defaults, automate operational workflows, improve reliability and recovery readiness, define SLOs, support incident response, and lead cross-team platform initiatives. The role also mentors engineers and provides hands-on support across local, staging, and production environments.

Build and operate scalable AI platform infrastructure, including LLM and MCP gateways, agent runtimes, evaluation services, routing, quotas, observability, and security controls. Own projects from design through launch and on-call, establish technical standards, collaborate with security and infrastructure teams, and mentor engineers. Develop highly available distributed backend systems supporting AI workloads across Affirm’s financial products and engineering organization.

Architect and operate Affirm’s large-scale Amazon EKS platform, including cluster lifecycle, node management, autoscaling, workload safety standards, infrastructure as code, GitOps delivery, observability, cost and capacity optimization, and self-healing automation. The role leads technical direction, partners cross-functionally, mentors engineers, and participates in on-call incident response.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines, log-sampling systems, and observability standards while balancing reliability, performance, and cost. Drive cross-functional initiatives, mentor six engineers, establish engineering and operational standards, support availability and on-call practices, and promote quality through code reviews, documentation, and technical talks.

Develop and operate scalable backend software for Xero’s Accounting Core platform. Modernize monolithic systems into AWS-based microservices using C# and .NET Core, address legacy and database scalability challenges, improve APIs, automate processes, and apply test-driven and trunk-based development. Collaborate across teams, communicate with stakeholders, mentor colleagues, and contribute to technical excellence and developer efficiency.

Build and operate high-throughput backend services for AI agent orchestration, calendar systems, real-time infrastructure, APIs, and data pipelines. Design scalable platform services, infrastructure as code, and highly available production systems using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams to deliver AI-powered features, contribute to reliability and testing practices, and mentor junior engineers.

Lead Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Own safeguards such as isolation, approval workflows, rollback mechanisms, observability, and auditability. Partner with infrastructure, security, product, and engineering teams to identify systemic weaknesses, improve reliability, establish incident response practices, and promote resilience validation across the software development lifecycle.

Build and operate enterprise identity and access management systems at Affirm. Responsibilities include IAM lifecycle operations, access troubleshooting, automation, backend services, APIs, integrations, monitoring, and production support. The role focuses on SailPoint, Auth0, workforce identity events, secure infrastructure, and collaboration with Security, IT, and Engineering. Candidates should have software engineering experience, backend development skills, cloud familiarity, and knowledge of IAM technologies.

Leads Affirm’s third-party security risk management program, including international market due diligence, M&A security assessments, post-acquisition vendor integration, control evaluations, threat modeling, and remediation tracking. Designs automated workflows and integrations across GRC, ticketing, cloud, and identity systems using Python and agentic coding tools. Establishes processes, metrics, dashboards, and reporting while advising Legal, Procurement, Engineering, Finance, Compliance, Privacy, and leadership on security risks and decisions.

Design and implement large-scale optimization models and production solver services for workforce planning, scheduling, forecasting, and resource allocation. Develop OR-Tools/CP-SAT constraint models, define schedule quality metrics, validate algorithm performance and scalability, and integrate optimization capabilities into an enterprise workforce management platform. Collaborate with product, architecture, engineering, and workforce-planning stakeholders to translate business requirements into mathematical models and operationally usable schedules.

Leads quality engineering as a senior hands-on SDET, designing scalable API-first automation frameworks and integrating automated validation into CI/CD pipelines. Provides technical leadership and coaching, drives shift-left quality practices, implements contract, performance, security, and regression testing, and uses data-driven metrics to improve reliability. The role also explores AI-assisted and agentic testing approaches across distributed systems and microservices.

Lead the design and implementation of scalable distributed systems, modernize monolithic applications, and improve developer experience through CI/CD, automated testing, refactoring, and TDD. Make major architectural decisions, establish engineering standards, and mentor engineers through complex technical challenges. Collaborate with product owners and designers in an agile environment while building and operating reliable software for millions of users.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Analyzes complex datasets, develops statistical models and experiments, writes SQL and Python, and creates Power BI dashboards to deliver actionable business insights. The role supports reporting, data quality, workflow improvements, production troubleshooting, and data model enhancements while collaborating with engineers, analysts, and business stakeholders.

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.

Full-time software development intern building SAP Concur Travel features across frontend, backend, and AI systems. Responsibilities include developing REST APIs and backend services, creating agentic and user-facing interfaces, integrating LLM-powered capabilities, writing maintainable code in Go, Kotlin, TypeScript, or Swift, and contributing to code reviews and testing. The role involves collaboration with Product and Design teams and focuses on customer impact for a platform serving millions of users.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

Develop and enhance enterprise AI agents, orchestration workflows, conversational applications, and AI-powered automation using Python, LangGraph, and LangChain. Integrate AI solutions with enterprise systems and APIs, implement planning, memory, tool-calling, observability, and monitoring capabilities, and support scalable production deployments. Collaborate with engineering teams and stakeholders to improve platform reliability, architecture, and business use case delivery.

Own Braze as the technical and product subject matter expert, developing integrations, data models, pipelines, migrations, and platform strategies. Partner with CRM, Marketing, Product, and Engineering teams to deliver scalable personalized engagement solutions. Monitor performance and deliverability, support adjacent marketing platforms, and ensure security, privacy, consent, compliance, and responsible gaming requirements. Document architecture and runbooks while supporting incident response for critical marketing systems.