Top AWS Jobs in Vancouver

Build and own Snout’s data foundation, including PostgreSQL and dbt warehouses, ingestion pipelines, dimensional models, data quality, documentation, and reliable rebuilds. Reconcile data from veterinary practice-management systems, support LLM/AI tooling, translate stakeholder needs into technical plans, and establish the foundation for a future data team and analyst.

Operate and improve production databases on AWS, including RDS, Aurora, and EC2-hosted systems. Monitor performance, troubleshoot incidents, manage backups and disaster recovery, enforce security controls, and coordinate upgrades and patching. Automate provisioning and routine DBA tasks with Terraform or CloudFormation. The role also maintains documentation, supports schema and query optimization, and collaborates with application, DevOps, and platform teams on reliability and operational excellence.

Own Ada’s partner co-sell motion by sourcing and accelerating partner-influenced deals, building joint go-to-market plans, expanding AWS and Microsoft marketplace revenue, and increasing partner-sourced pipeline. The role collaborates with account executives, partners, Deal Desk, and Sales Operations; maintains Salesforce deal data; enables sellers and partners; and identifies new ecosystem investment opportunities.

Leads architecture, scalability, performance, and technical direction for Salesforce and Node.js enterprise applications. Manages 10–15 engineers, mentors technical staff, hires and develops talent, and partners with product and engineering leadership. Oversees engineering quality, reliability, security, deployment processes, developer experience, and integrations with external systems. Requires extensive Salesforce architecture expertise, Node.js experience, and a strong background in software engineering leadership.

Design, build, deploy, and operate production software powering AI services and platform infrastructure. Own backend services and APIs end to end, including Kubernetes deployment, GitOps, infrastructure as code, observability, incident response, and performance optimization. Develop distributed, multi-tenant systems using reliable communication patterns, cloud platforms, and data services. Collaborate across engineering, platform, and infrastructure teams while participating in on-call and continuous improvement.

Build and maintain Quora’s machine learning platform and distributed model-serving infrastructure. Develop scalable systems for recommendation and language models, optimize GPU serving latency, throughput, and cost, improve ML tooling and feature stores, and contribute to platform modernization. The role includes production deployment, collaboration with senior engineers, mentoring, and participation in an on-call rotation.

Design and lead enterprise data platforms, including scalable lakes, warehouses, batch and real-time pipelines, governance, quality, monitoring, and modernization. Build data infrastructure for production AI/ML systems, including embeddings, vector stores, RAG preparation, feature stores, and training and inference flows. Partner with leadership and cross-functional teams on data strategy, establish engineering standards, make architectural decisions, and mentor engineers.

Designs end-to-end technical solutions for nesto’s mortgage cloud platform. Translates business requirements into architecture specifications, diagrams, data models, and integration plans; selects cloud services, frameworks, databases, and integration patterns; manages technical risks; ensures enterprise architecture compliance; and collaborates with engineering, product, QA, and external partners. Promotes microservices, Domain-Driven Design, and Event-Driven Architecture while mentoring engineering teams and communicating complex designs to technical and non-technical stakeholders.

Design end-to-end solution blueprints for mortgage cloud products, platform enhancements, and integrations. Translate business requirements into technical specifications, diagrams, and data models; select cloud services, tools, databases, and integration patterns; manage technical risks; and ensure compliance with enterprise architecture standards. Collaborate with engineering, product, QA, vendors, and stakeholders while advocating microservices, domain-driven design, and event-driven architecture.

Designs and implements security solutions across application, infrastructure, enterprise, and observability domains. Responsibilities include threat modeling, integrating security into development workflows, automating detection and response using AI, incident response, regulatory support, mentoring, and shaping security priorities. The role requires collaboration with engineering, product, compliance, and vendors in a regulated fintech environment.

Design, automate, and maintain scalable, secure cloud infrastructure and CI/CD pipelines. Monitor system reliability and performance, respond to incidents, conduct postmortems, enforce SLAs, plan capacity, optimize costs, and implement security and compliance practices. Collaborate with Engineering, Product, and Design teams to resolve scalability and development lifecycle challenges while driving continuous operational improvement.

Leads enterprise DevOps and cloud infrastructure strategy, building CI/CD pipelines, Infrastructure as Code, automation, observability, and secure software delivery platforms. Partners with engineering, quality, and product teams across development through production environments. Supports disaster recovery, security-by-design, reliability testing, troubleshooting, and operational improvements. Mentors engineers and drives DevSecOps, SRE, and platform engineering maturity across a global organization.

Build full-stack Real User Monitoring features across frontend applications, backend services, APIs, and analytical storage systems. Design high-throughput telemetry ingestion, data models, query layers, and dashboards for real-time exploration of sessions, traces, and events. Optimize performance and cost at scale, collaborate with SDK and cross-functional teams, own projects through deployment and monitoring, and contribute to the RUM roadmap.

Own bespoke client projects end to end, from scoping and API design through UI, backend development, release, and production support. Build polished interactive tools, generative AI products, and client-embedded experiences using modern full-stack technologies. Collaborate closely with designers, improve reusable products, establish safe AI-assisted development practices, and contribute through code review, mentoring, documentation, hiring, and technical leadership.

Build and maintain production systems, engineering tools, CI/CD and release automation, testing infrastructure, and foundational engineering platforms. Investigate scalability bottlenecks and production incidents, automate system administration and integrations, and collaborate with QA and development teams. Provide mentorship, share knowledge, capture requirements, and improve engineering processes across the company.

Own the full lifecycle of production classification and detection models, including transformer fine-tuning, entity detection, behavioral risk scoring, training, serving, versioning, evaluation, drift detection, and retraining. Build SageMaker-based ML systems and define output contracts supporting audit and policy enforcement. Lead the evaluation harness and mentor a co-op while operating as the company’s sole ML engineer.

Lead and develop a Tooling team focused on developer experience, engineering productivity, CI/CD, deployment automation, observability, release workflows, and internal platforms. Define the tooling strategy and roadmap, partner with Infrastructure, Security, and Product Engineering, improve DORA metrics and operational reliability, and guide adoption of AI-assisted development workflows. The role also includes coaching engineers, leading cross-functional initiatives, and delivering secure, scalable platforms that reduce developer friction.

Senior Engineer responsible for designing scalable platform architectures, building backend services in C# or TypeScript, managing databases and cloud infrastructure, improving CI/CD and security practices, troubleshooting reliability issues, and mentoring engineers. The role leads complex projects, contributes to technical strategy, promotes Agile practices, and drives engineering excellence across teams.

Leads enterprise sales growth for Amperity’s data and AI platform. Responsibilities include prospecting, pipeline and revenue management, account planning, consultative technical selling, executive engagement, forecasting, renewals, partner development, contract support, and cross-functional collaboration. The role requires translating complex data-platform capabilities into business outcomes, developing AI-related opportunities, maintaining Salesforce records, and achieving new business and commercial renewal targets.

Leads enterprise sales growth for Amperity’s customer data and AI platform. Responsibilities include prospecting, managing named-account sales plans, forecasting pipeline, achieving new business and renewal targets, conducting technical and consultative selling, engaging executive stakeholders, supporting negotiations, and partnering with marketing, product, professional services, finance, legal, cloud providers, systems integrators, and technology partners. The role also contributes to go-to-market strategy, messaging, customer insights, and partner-influenced opportunities.

Leads end-to-end investigations of phishing, malware, insider threats, and other complex incidents across on-premises and cloud environments. Responsibilities include alert triage, malware analysis, host and network forensics, cloud incident investigation, containment, eradication, recovery, detection engineering, playbook development, escalation support, mentoring, and incident reporting.

Build and operate a multi-cloud platform for human and AI-agent engineering workflows. Responsibilities include managing Kubernetes, Terraform, GitOps with ArgoCD, governed MCP tool gateways, CI/CD validation, secure agent identities, observability, autonomous remediation, infrastructure modernization, and compliance-aware platform design. The role owns production reliability metrics and serves multiple regulated business lines.

Build and scale low-latency, reliable infrastructure for online AI evaluation: APIs, gateways, streaming handling, observability, enterprise features (rate limiting, auth, billing), and integrations with LLM providers and evaluation platforms.

Build and maintain security automation, vulnerability management tooling, detection rules, CI/CD integrations, and supply chain security controls. Support application, cloud, identity, access, DLP, secrets, and data warehouse security programs. Partner with engineering teams on secure architecture and remediation, manage security policies, conduct access reviews, and contribute to security standards and mentorship.

Own the definition and launch of a greenfield iOS and Android consumer app. Develop product strategy, write specifications, coordinate engineering delivery, define success metrics, and use data, A/B testing, and user feedback to guide decisions. The role combines strong UI/UX judgment with computer vision and AI capabilities to create a polished consumer experience.