Top AWS Jobs in Vancouver

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

The Backend Engineer will build and maintain Resend's email transport infrastructure, focusing on SMTP delivery, routing, and system design for high-volume email sending. They will ensure the reliability and observability of the systems while participating in incident response.

Lead the architecture and evolution of scalable ETL and data-processing systems for customer product catalogs. Design reliable distributed systems, improve throughput and latency, strengthen fault tolerance and observability, and guide technical direction across teams. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and onboarding, and help shape the engineering organization’s long-term technical vision.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

Design, build, deploy, and operate full-stack software across frontend applications, backend Java services, data pipelines, databases, and cloud infrastructure. Develop Vue.js, TypeScript, and React applications; build APIs and event-driven services; manage AWS infrastructure; create data pipelines with Python, SQL, dbt, and Databricks; and maintain testing, CI/CD, monitoring, and production reliability. Partner with cross-functional teams to deliver scalable customer-facing and internal solutions.

Lead the architecture and development of high-throughput, fault-tolerant distributed systems powering Splunk data ingestion. Set technical direction, drive reliability and scalability roadmaps, mentor senior engineers, influence multi-team architecture decisions, and own systems from design through deployment, observability, incident response, and operations. The role requires deep experience with distributed systems, observability pipelines, cloud platforms, capacity planning, and technical leadership at Staff or Principal level.

Leads data engineering consulting engagements, serving as a subject matter expert and data architect. Designs scalable data environments, models, pipelines, integrations, warehouses, and visualizations while ensuring quality and governance. Leads architectural decisions, project delivery, technology strategy, and AI-augmented development practices. Mentors technical teams, collaborates with data scientists, analysts, clients, and stakeholders, and drives process improvements and innovation. The remote role may require infrequent travel to the United States.

Design, build, operate, and maintain critical distributed systems powering Grafana Cloud Metrics and the open-source Mimir project. Drive projects from concept through production, improve reliability and performance, contribute to roadmap and design decisions, review code, support teammates, manage releases, and participate in follow-the-sun on-call rotations. Work with cloud infrastructure, microservices, observability systems, and large-scale telemetry databases while collaborating in a remote, open-source environment.

Lead approximately 15 engineers and three engineering managers across communications products including SMS, secure messaging, email, and fax. Drive zero-to-one product development, reliability, and deliverability at scale while partnering with Product and Design. Develop engineering leaders, advocate for technical investments, translate technical impact for stakeholders, and guide practical AI adoption in a regulated SaaS environment.

Own end-to-end enterprise deployments of Spellbook’s AI-powered legal technology. Build integrations with document management, identity, and internal systems; design workflow-heavy solutions involving permissions, approvals, routing, and auditability; customize AI workflows; collaborate directly with legal teams and end users; and convert deployment insights into scalable platform features.

Own post-sales technical relationships for Azure-focused customers, providing FinOps guidance, cloud commitment optimization, governance advice, and executive-level business insights. Monitor Azure commitment utilization, lead Quarterly Business Reviews, identify expansion opportunities, and collaborate with Product, Engineering, and Support to resolve challenges and influence the roadmap. The role requires strong Azure expertise, cloud economics knowledge, customer-facing communication, and the ability to translate technical findings into measurable business outcomes.

Own post-sales technical relationships for enterprise and mid-market customers, advising on multi-cloud FinOps, commitment strategy, cloud cost optimization, governance, and savings. Lead executive business reviews, translate cloud consumption data into business insights, identify expansion opportunities, resolve customer challenges with internal teams, and mentor junior Technical Account Managers.

Build and optimize backend services, APIs, databases, and high-performance compute models. Develop systems in C# and Java and optimized C++ simulation code using concurrency, synchronization, multiprocessing, and numerical methods. Design IPC mechanisms, profile performance-critical workloads, contribute to architecture and code reviews, mentor engineers, and support testing and CI/CD. Preferred experience includes parallel computing, scientific or geospatial modeling, cloud infrastructure, containers, observability, and high-throughput pipelines.

Develop high-performance networking software across data-path, control-plane, forwarding, and protocol layers. Build packet-processing pipelines using C/C++, DPDK, VPP, and Network ASICs; implement SD-WAN, IPsec, VPN, firewall, DPI, and QoS capabilities. Integrate networking components into Kubernetes and Docker environments using distributed systems, message buses, and gRPC. Troubleshoot production systems and collaborate with distributed engineering teams.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

The Staff Software Engineer, Backend for Capacity Modeling develops scalable backend systems, maintains capacity models, and collaborates on technical strategies while ensuring system availability and high-quality code delivery.

Build and maintain backend systems for money movement and card ledger features. Design, develop, and launch scalable APIs and services (Python or Kotlin) using AWS, MySQL, and Kubernetes. Collaborate with product, design, data science, and cross-functional teams, support operations and on-call, create and monitor metrics, participate in code reviews and hiring, and deliver well-tested, extensible solutions.

Own and evolve Babylist's AWS infrastructure, Terraform IaC, Kubernetes/EKS clusters, CI/CD, and observability for a platform serving millions. Lead incident response, improve developer tooling, and set reliability standards across engineering teams.

Hands-on Engineering Manager to write production backend code, drive API and architecture decisions, own CI/CD and reliability, mentor and grow engineers, run team ceremonies, manage delivery and incidents, and participate in hiring.

Lead the architecture and development of a greenfield iOS and Android consumer application from concept through launch and scale. Make foundational decisions across React Native, Expo, and native platforms; build polished, performant mobile experiences; establish engineering standards and release processes; integrate backend, computer vision, and AI capabilities; and mentor engineers while partnering with Product and Design.

Develop and maintain the Invoice Simple platform, including CI/CD pipelines, deployment processes, infrastructure automation, and production software. Partner with application teams to improve architecture, reliability, observability, and operational readiness. Design, implement, and ship features; investigate incidents; and prevent recurring issues through technical improvements. The role requires strong cloud, Kubernetes, distributed systems, database, TypeScript, and JavaScript expertise.

Leads complex full-stack software projects, designing scalable architectures and shipping end-to-end product features. Responsibilities include developing Python and Node.js APIs, working on React, Vue, and Ember front ends, writing maintainable and tested code, troubleshooting, documenting designs, mentoring engineers, collaborating cross-functionally, and participating in Agile development. The role also contributes to infrastructure, open-source projects, and customer-focused SaaS product improvements.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.