Top AWS Jobs in Vancouver

Build and operate full-stack features across TypeScript, Node.js, React, and Rust services. Own development from design through production, including APIs, webhooks, integrations, testing, CI automation, code review, refactoring, troubleshooting, and on-call support. Improve agentic development workflows and quality practices, expand automated coverage, and collaborate with distributed product and engineering teams in an Agile/Scrum environment.

Owns BeyondTrust’s product vulnerability management program end to end, including FedRAMP 20x continuous monitoring, risk assessment, remediation, exception handling, metrics, evidence, and reporting. The role establishes processes for new products, automates triage and reporting, partners with Security Engineering on integrations, drives remediation across engineering teams, and leads response to actively exploited and zero-day vulnerabilities.

Own the roadmap and product strategy for DigiCert’s DNS and digital trust portfolio. Translate customer needs, market trends, telemetry, and technical capabilities into requirements, metrics, and secure cloud-native products. Partner with engineering, security, architecture, sales, marketing, and customers to deliver API-first infrastructure, validate concepts, launch products, and drive adoption. The role emphasizes trusted discovery, policy enforcement, reliability, security, experimentation, and emerging agentic use cases.

Develop, test, deploy, and maintain scalable full-stack software using the MEAN stack. Contribute to system architecture, performance optimization, security, reliability, code reviews, and continuous process improvement. Collaborate with product managers, designers, and engineers to deliver user-focused features. Apply AI-assisted development tools, explore LLM integrations and automated testing, and mentor teammates on modern engineering practices.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Leads Versapay’s enterprise data strategy, architecture, governance, quality, accessibility, and AI readiness. Builds unified data infrastructure, semantic models, catalogs, asset registries, and governance standards while enabling secure internal and commercial data products. Partners with Product, Engineering, Commercial, Finance, and Legal, and leads the Data Platform Team. Owns data maturity roadmaps, warehouse cost management, AI infrastructure readiness, and executive-level data strategy.

Design, develop, and maintain secure, scalable backend systems, APIs, databases, integrations, and services. Provide technical direction, lead architecture discussions, coordinate complex initiatives, manage dependencies, review code, improve performance and observability, respond to production incidents, maintain tests and CI/CD workflows, and mentor engineers. Collaborate remotely with Product, Operations, and engineering teams to deliver reliable software.

Design, build, and maintain scalable full-stack web applications and APIs using React, TypeScript, Next.js and Node.js. Own features end-to-end, collaborate with product and design, improve CI/CD and developer tooling, migrate legacy systems, and mentor junior engineers while leveraging AI-assisted development.

Leads the architecture and hands-on evolution of Kinaxis Maestro’s cloud-native core platform. Designs distributed database, storage, query execution, and data-processing systems for massive scale, elasticity, performance, resilience, and cost efficiency. Guides architectural standards across Product R&D, prototypes and implements solutions, mentors senior engineers, and influences technical direction across teams. Requires deep expertise in distributed production systems, cloud platforms, concurrency, consistency, and high-performance backend development using Go, C++, or similar languages.

Owns the vision, strategy, roadmap, and outcomes for major Maestro platform capabilities. Leads customer discovery, platform architecture decisions, AI agent capabilities, data product integration, developer tooling, and enterprise adoption. Partners with engineering, data, cloud, and go-to-market teams to deliver scalable APIs, SDKs, services, and administration experiences. Requires 8+ years of product management experience, strong AI and modern data platform knowledge, technical fluency, and the ability to influence senior stakeholders.

Designs and operates scalable AWS infrastructure, builds containerized systems with Docker and Kubernetes, manages Terraform infrastructure as code, improves Jenkins and GitHub Actions CI/CD pipelines, and implements monitoring, logging, troubleshooting, and root cause analysis. The role partners with engineering teams to improve reliability, security, performance, and deployment workflows in complex SaaS environments.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

Build and operate scalable data pipelines supporting batch and streaming workloads, AI and ML systems, analytics, and sports intelligence products. Responsibilities include ETL/ELT development, data modeling, orchestration, retrieval pipelines, data quality, lineage, monitoring, infrastructure optimization, and collaboration with ML, product, and analytics teams.

Lead Data Engineer responsible for designing, implementing, and maintaining large-scale, reliable data pipelines and cloud infrastructure. Collaborate with product, stakeholders, and cross-functional teams to deliver a SaaS data platform, ensure data quality, apply development best practices, contribute to DevOps and production operations, and support ongoing platform maintenance.

Designs and operates scalable ML infrastructure, including training, serving, inference, orchestration, and deployment pipelines. Optimizes GPU and CPU workloads, manages cloud clusters, implements observability and SLOs, and secures automated CI/CD and infrastructure-as-code workflows. Partners with research and AI engineering teams to productionize models, while building reusable tooling, templates, and runbooks. The role also supports low-latency model serving, data quality, model promotion, and cost optimization.

Build and operate production systems for Juniper Square’s AI Platform, including APIs, infrastructure, reusable frameworks, and AI/LLM capabilities. Own projects end to end, ensure reliability and observability, contribute to technical design, and support incident response. Collaborate with product, design, QA, and engineering teams while applying AI-native development practices. The role requires strong Python backend engineering, cloud-native technologies, databases, production operations, and hands-on experience with RAG, agents, evaluation workflows, or related AI systems.

Build and scale AI-agent infrastructure, including orchestration, tool calling, context management, guardrails, evaluations, and LLM-as-judge pipelines. Develop Python and Node.js microservices, Laravel APIs, AWS infrastructure, and optimized MySQL systems. Diagnose agent failures, improve prompts and tools, maintain reliability and observability, contribute to architecture, review code, collaborate cross-functionally, and mentor engineers.

Lead refactoring of monolithic systems into distributed, scalable architectures. Influence architecture and design, improve CI/CD and developer experience, implement automated testing and TDD, mentor engineers, and deliver high-quality, highly available software for millions of users.

Develop responsive, production-ready front-end applications for a modern document authoring platform. Translate UX/UI and Figma designs into accessible interfaces, build authoring workflows, integrate RESTful APIs and backend services, and support AWS-hosted environments. The role includes front-end architecture, component-based development, state management, troubleshooting, performance optimization, code reviews, and cross-functional collaboration while delivering a scalable MVP in an Agile environment.

Develop and deploy production machine learning products for financial workflow automation. Responsibilities include designing ML features, training models, building APIs and scalable services, evaluating model performance, ensuring observability, and applying LLMs, RAG, natural language understanding, and autonomous agents to business documents and workflows. The role also requires technical leadership and mentoring junior engineers.

Manage and scale Clio’s global privacy program, ensuring compliance with GDPR, CCPA/CPRA, PIPEDA, and other regulations. Responsibilities include privacy policy and training development, compliance monitoring, DPIAs and PIAs, DSAR workflows, metrics and reporting, Privacy by Design collaboration, incident response support, and third-party vendor privacy assessments. The role also advises on evolving laws, negotiates data processing agreements, and evaluates privacy risks from AI processes and automated agents.

Architect, build, and operate globally distributed cloud platform services for low-latency messaging, resilient APIs, and vehicle connectivity. Own high-throughput messaging systems, gRPC APIs, Kubernetes and infrastructure automation, observability, ingress, PKI, testing, and multi-region reliability. Support on-call operations, capacity planning, cost optimization, and multi-tenant platform growth across development, staging, and production environments.

Build and maintain full-stack features across React web, React Native mobile apps, and Python/Django backend services. Design reliable REST APIs for intermittent connectivity, write well-tested code, contribute to architecture, mentor engineers, participate in on-call support, and improve development workflows. The platform serves construction workers on active job sites and uses PostgreSQL and AWS.

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Provides Level 2–3 technical product support for Thales security and database products. Troubleshoots complex customer issues across application, database, network, and infrastructure layers; interprets logs and packet captures; recommends workarounds; supports integrations, patches, and hotfixes; reproduces defects; documents issues; and coordinates with engineering, product teams, vendors, and global support teams.