Top AWS Jobs in Vancouver

Build and operate production-grade LLM applications, agentic workflows, RAG and retrieval pipelines, AI memory architectures, and evaluation harnesses. Deploy and monitor AI services using cloud infrastructure, containers, APIs, and MLOps platforms. Configure AI gateways, manage model routing and costs, secure integrations, and optimize serving architectures. Collaborate with product, engineering, SRE, security, and software teams to deliver scalable AI capabilities.

Designs, builds, and maintains modern full-stack web applications, frontend features, backend services, APIs, and microservices. Leads technical delivery, architecture, performance, accessibility, security, observability, and cloud-native engineering initiatives. Collaborates with product, design, data, platform, and architecture teams; mentors engineers; supports production systems; and applies AI-assisted development and conversational commerce technologies.

Build and architect scalable backend systems using microservices, APIs, databases, and cloud services. Develop customer-focused product features, improve infrastructure and performance, resolve technical issues, and collaborate with product, commercial, and globally distributed engineering teams. The role also involves translating customer needs into product solutions and applying Agile development and CI/CD practices.

Lead backend engineering work for Affirm’s lakehouse infrastructure, delivering reliable, scalable distributed data systems. Own quarterly goals, guide engineers through ambiguous problems, collaborate with product and analytics stakeholders, improve technical standards, monitor system availability, support on-call operations, and mentor team members. The role focuses on large-scale data platforms and technologies including Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, AWS, MySQL, Kubernetes, and Terraform.

Build and operate DevOps infrastructure for regulated digital-asset exchange, clearinghouse, and brokerage systems. Responsibilities include improving CI/CD pipelines, managing AWS infrastructure with Terraform, running containerized services on Nomad, developing deployment tooling with health checks and rollback, monitoring systems, responding to production alerts, supporting settlement operations, and contributing to Haskell-based services. The role requires on-call participation, distributed-systems expertise, and collaboration across engineering, operations, risk, and compliance.

Provides advanced technical support to enterprise customers using Chainguard Images. Responsibilities include triaging and resolving complex issues, investigating bugs, coordinating escalations with Engineering, managing customer communication and SLAs, documenting solutions, creating knowledge-base content, submitting product feedback, and participating in an after-hours on-call rotation. The role requires expertise in Linux, containers, Kubernetes, DevOps tooling, cloud platforms, and strong written and verbal communication.

Leads integration of building automation, IoT, HVAC, lighting, and energy systems with AWS, Azure, and Google Cloud platforms. Conducts building inspections, network discovery, system audits, cloud onboarding, data-flow configuration, cybersecurity controls, testing, troubleshooting, analytics, and technical reporting. Collaborates with IT, security, facilities, and clients while mentoring engineers and improving delivery processes.

Designs and governs secure, scalable architectures across cloud, hybrid, and on-premises environments. Leads modernization from .NET Framework to modern .NET and ASP.NET Core, defines security and data architectures, develops technical standards, and guides solution delivery. The role translates business requirements into architecture designs, manages trade-offs, oversees implementation, improves CI/CD and observability, supports performance tuning, and mentors engineers while collaborating with executives, project managers, vendors, and client-facing teams.

Leads executive client engagements and large analytics, data, AI, and digital transformation programs, primarily for manufacturing and automotive organizations. Responsibilities include strategy development, solution design, consulting, proposal leadership, account growth, commercial management, delivery oversight, governance, team mentorship, and capability building. The role connects business priorities with data platforms, AI solutions, operational improvements, and measurable financial outcomes.

Own the full sales cycle across ASEAN, from prospecting through enterprise close. Conduct technical discovery, connect customer needs to business outcomes, and collaborate with Sales Engineering, Product, AWS, and regional partners on demos and proofs of concept. Manage territory strategy, pipeline, forecasting, account planning, procurement, security, and data residency discussions. Sell to founders, CTOs, engineering leaders, and platform teams, then transition customers to Customer Success for onboarding and expansion.

Own ToolHound’s technical and product roadmap, architecture, code quality, security, data, performance, releases, and AI-native product development. Lead modernization of its mature .NET platform, ship production AI features safely in a multi-tenant environment, improve velocity and reliability, and mentor the engineering team. Partner with the GM, customers, operators, and business stakeholders to prioritize work, communicate clearly, and increase the platform’s enterprise value.

Designs, builds, and supports API and IVR integrations for enterprise contact centers. Responsibilities include gathering customer requirements, developing backend services and webhooks, transforming data, integrating CRM, billing, and payment systems, troubleshooting production issues, applying security practices, writing tests and documentation, and leading technical design discussions. The role also provides customer-facing implementation consulting and post-implementation escalation support.

Build and operate scalable full-stack software across Node.js backends, React frontends, APIs, webhooks, integrations, and orchestration capabilities. Own features from planning through deployment and monitoring, write comprehensive automated tests, refactor legacy systems, participate in code reviews and Scrum, troubleshoot production issues, and contribute to AI-assisted development workflows and tooling.

Own and improve Life360’s Ads Data Engineering platform on Databricks. Build, operate, and optimize batch and streaming pipelines, Delta Lake tables, dbt models, semantic layers, and core metrics. Integrate advertising and business data, implement quality and governance controls, manage AWS infrastructure with Terraform, reduce compute costs, and mentor engineers. Partner with analysts, ad strategists, and sales teams to deliver trusted data products while developing AI-assisted engineering tools and workflows.

Design and lead scalable, highly available distributed systems using Java, Spring Boot, microservices, AWS, and event-driven technologies. Remain hands-on with coding, system optimization, testing, observability, and production troubleshooting. Integrate AI capabilities such as LLMs, RAG, agentic workflows, and orchestration frameworks into enterprise applications. Provide technical leadership, mentor engineers, influence architecture across teams, and guide adoption of reliable, secure, and cost-effective engineering practices.

Build and maintain data migration pipelines for complex legal and corporate datasets. Lead client onboarding, write SQL and MongoDB migration scripts, validate large-scale records, investigate data anomalies, and improve migration tooling. Contribute to backend and full-stack product features, platform performance, AI-driven data integration, and ETL workflows while owning deliverables from problem identification through deployment.

Designs and builds secure, scalable systems protecting products, infrastructure, and customer data. Responsibilities include authentication and OAuth integrations, authorization platforms, BYOK capabilities, security tooling, cloud security controls, threat modeling, vulnerability remediation, and security testing. The role partners with engineering and product teams, establishes secure development practices, leads complex security projects, and mentors engineers.

Build infrastructure cost tooling, dashboards, reporting systems, attribution models, unit economics, forecasts, and KPIs. Analyze cloud and vendor spending, optimize infrastructure efficiency, support budgeting and capacity planning, and provide insights for pricing and business strategy. Partner with engineering, product, and finance teams while driving cost-conscious engineering practices, vendor optimization, and financial accountability.

Leads client engagements for digital investigations and full-cycle incident response. Manages technical strategy, recovery planning, project workstreams, budgets, SLAs, team utilization, quality, and client communications. Coaches global team members and directs security implementation activities, including enterprise infrastructure, email systems, cloud platforms, containment, data preservation, and forensic acquisition. Requires extensive incident response experience, cybersecurity expertise, industry certification, and fluent Canadian French.

Own and improve shared GitLab CI/CD pipelines, Kubernetes infrastructure, development environments, release workflows, and AWS platforms. Strengthen observability, incident response, deployment validation, rollback, and infrastructure automation. Investigate recurring failures, lead significant platform improvements, mentor engineers, document systems, and help teams adopt AI-assisted development safely.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Design, build, and maintain scalable cloud-based data systems and production pipelines. Develop ingestion, transformation, modeling, monitoring, and governance processes across multi-cloud environments. Optimize data performance and cost, integrate APIs and AI-ready datasets, support analytics and data science teams, and document data structures and APIs. Collaborate with engineering and data science teams to create reliable datasets powering agriculture products and machine learning applications.

Provides technical and people leadership for enterprise integration systems and applications. Leads solution design, development, deployment, testing, production support, incident resolution, documentation, and SDLC governance across a portfolio of 300+ integrations. Develops technology roadmaps, mentors technical teams, manages delivery and service-level obligations, coordinates critical incident response, and partners with architects, managers, and stakeholders to implement scalable, reliable integration solutions.

Leads the enterprise DevOps and platform engineering team, providing people and technical leadership for integrations, SDLC, CI/CD, architecture, deployment, testing, scalability, production support, and service delivery. Develops technology roadmaps, manages complex initiatives, oversees Jira and ServiceNow workflows, ensures documentation and service-level commitments, resolves technical issues, and mentors team members. Collaborates with business partners, stakeholders, vendors, and IT teams to deliver reliable enterprise integration services.

Design, build, and operate reliable backend services powering Cash Out transactions across debit card, ACH, FedNow, and RTP networks. Develop APIs and event-driven integrations, ensure idempotency, reconciliation, auditability, observability, and production reliability. Partner with product, design, data, and analytics; use AI-assisted development workflows; participate in on-call and incident response; mentor engineers; and contribute across the stack when needed.