Top AWS Jobs in Vancouver

The Senior Data Scientist will collect and transform complex datasets, develop and deploy machine learning, NLP, generative AI, and agent solutions, and optimize models for accuracy, explainability, and ethical alignment. Responsibilities include building custom transformer models, monitoring production pipelines, communicating insights through visualizations and presentations, and collaborating with cross-functional teams to drive productivity, revenue, and strategic decision-making.

Lead development of highly available, distributed payments platform services and global bill payment capabilities. Design scalable, secure, high-throughput backend systems, APIs, and database solutions while integrating multiple payment providers and risk controls. Contribute hands-on production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.

Build and enhance real-time anti-fraud systems, backend services, internal tools, validation frameworks, and distributed components across multi-region cloud environments. Develop scalable data pipelines and workflows using big-data, messaging, and streaming technologies. Maintain testing, automation, and delivery frameworks with emphasis on quality, scalability, reliability, and performance.

Build and maintain network edge security systems that improve API security posture, detect and mitigate abusive traffic, and respond to emerging threats. Responsibilities include developing streaming analytics pipelines, integrating CDN and security vendors, managing production systems, contributing to machine learning models, and implementing AI-driven traffic classification. The role requires software or security engineering experience, expertise in Java, Kotlin, TypeScript, Python, SQL, Spark, CDN platforms, and AWS.

Leads and grows an engineering team building financial and supply chain platforms, including agentic workflow automation, reporting, forecasting, tax, compliance, and operational systems. Sets technical direction, architecture, roadmap, and delivery practices while partnering with Finance, Accounting, Tax, Compliance, Product, and Operations. Ensures reliability, security, scalability, testing, observability, and operational excellence, while developing engineers, future leaders, and a healthy engineering culture.

Own the enterprise IAM architecture roadmap across Saviynt, IGA, authentication, PAM, and human, non-human, and AI identities. Design integrations, access controls, SSO, MFA, federation, identity lifecycle processes, and least-privilege patterns. Guide engineers, review implementations, define readiness and audit evidence, manage exceptions, and support incident diagnosis. Collaborate with architects, developers, and the Product Owner while balancing security, cost, scalability, and operational risk.

Own the product vision, strategy, and execution for MongoDB Atlas Infinite, a distributed cloud database platform. Lead cross-team decisions spanning compute, storage, migration, interoperability, readiness, customer experience, monetization, and adoption. Discover new customer opportunities, guide preview-to-GA progress, establish research and execution standards, resolve complex product issues, align executives and go-to-market teams, and mentor product managers.

Lead complex MongoDB Professional Services engagements for enterprise customers from kickoff through closeout. Own delivery strategy, scope, schedules, risks, dependencies, governance, financial accountability, and business outcomes. Serve as the primary customer executive interface, guide tradeoffs, coordinate cross-functional teams, remove blockers, and lead executive and quarterly business reviews. The role requires strong delivery leadership, executive communication, technical fluency, commercial awareness, and experience managing complex SaaS projects.

Lead security alert triage, incident investigations, incident response, detection lifecycle management, threat assessments, and SOC automation. Coordinate containment and remediation with technical, legal, privacy, and business teams. Develop playbooks, runbooks, metrics, and detection logic; investigate cloud, endpoint, identity, SaaS, and production environments; coach analysts; and improve SOC quality, scalability, and response efficiency through responsible AI-assisted workflows.

Own and scale secure, observable, cost-efficient cloud infrastructure across GCP, AWS, and Azure. Design Kubernetes clusters, Terraform environments, CI/CD and GitOps delivery, data-store infrastructure, observability, disaster recovery, security controls, and cloud cost management. Partner with backend, ML, platform, and solutions teams to operate reliable data pipelines and model-serving systems. Lead incident response, establish operational standards, and support compliance requirements including SOC 2 and customer security reviews.

Leads product security across Black Duck products by overseeing secure architecture, threat modeling, secure code reviews, security requirements, supply chain security, and secure development lifecycle controls. Builds security enablement and Security Champions programs, coordinates assessments and vulnerability remediation, supports PSIRT and incident response, measures security maturity, advises on regulatory obligations, and mentors engineering teams.

Build and deploy production GenAI and LLM systems for enterprise clients in financial services and healthcare. Work directly within customer teams to understand business functions, develop AI solutions, create evaluation suites, and deliver cloud-native systems on AWS. Own engagements from problem framing through production, advise senior stakeholders, contribute to AI delivery frameworks, and support presales. The role requires hands-on software engineering, Claude and Cowork expertise, operational ownership, and comfort with ambiguous environments.

Build scalable APIs, agent interfaces, MCP servers, A2A communication layers, and high-throughput advertising transaction systems. Design distributed services, authentication, protocols, and transaction flows while integrating emerging AI agent frameworks. This hands-on, backend-leaning full-stack role requires ownership of complex technical challenges, rapid experimentation, and effective use of AI coding tools. The engineer will collaborate closely with a small team and contribute to architectural decisions and engineering workflow improvements.

Lead cloud infrastructure, reliability, deployment, and observability for high-concurrency game services. Design AWS and GCP infrastructure with Terraform, maintain Kubernetes-based CI/CD platforms, support scalable Go microservices, and manage monitoring, databases, messaging, incident response, and disaster recovery. The role requires strong ownership, technical communication, participation in on-call rotations, and practical use of AI coding tools. This is a remote Canada-based position aligned with Pacific Time.

Design, build, deploy, and maintain scalable backend services for an innovative game. Own API design, database modeling, migrations, event flows, client-server contracts, synchronization, authentication, microservices, cloud deployments, reliability, and on-call operations. Work primarily with Go and AWS while documenting architecture, reviewing code, and collaborating remotely during Pacific Time business hours.

Build and operate scalable backend software for Xero’s Accounting Core platform. Responsibilities include migrating monolithic systems to microservices, developing cloud services with C#/.NET Core and AWS, resolving legacy and database scalability challenges, modernizing APIs, automating processes, applying test-driven and trunk-based development, collaborating with stakeholders, and mentoring teammates.

Design and develop scalable full-stack applications using Ruby on Rails and React, including GraphQL integrations and PostgreSQL-backed services. Establish architecture and backend best practices, implement testing and CI/CD, manage releases, and support stable production deployments. Mentor developers, conduct code reviews, and collaborate with product, design, infrastructure, and data teams to deliver customer-focused features and influence long-term technical strategy.

Acts as a trusted technology advisor to enterprise clients, developing vertical-specific solution architectures, business cases, and sales strategies. Presents WWT’s OEM and services portfolio, drives opportunities and gross profit, coordinates internal and partner resources, and leads client engagements involving AI, cybersecurity, cloud, infrastructure, applications, and digital transformation. Builds executive relationships, supports proof-of-concept engagements, identifies client needs, and develops strategies to win large strategic accounts.

Own the vision, strategy, roadmap, and adoption of an enterprise agentic AI platform. Translate stakeholder needs into scalable product initiatives, prototypes, user stories, and backlogs while collaborating with engineering, data science, architecture, UX, and business teams. Define KPIs and demonstrate value through adoption, reliability, cost efficiency, user satisfaction, and ROI. Incorporate responsible AI, security, privacy, and compliance into product development.

Build and maintain full-stack web applications and backend services using React, TypeScript, Java, and Spring Boot. Develop accessible, responsive interfaces, reusable components, REST API integrations, and microservices. Collaborate with cross-functional teams, optimize performance, troubleshoot incidents, support security and testing practices, and contribute to cloud-native platforms, CI/CD, Agile delivery, and AI-powered conversational experiences.

Build, test, operate, and maintain scalable backend services, APIs, and microservices. Collaborate with product managers, architects, data engineers, and cross-functional teams to deliver secure cloud-native solutions. Develop integrations, work with databases, caching, messaging, and distributed systems, and troubleshoot production issues. Contribute to monitoring, observability, performance optimization, code reviews, CI/CD, automation, Agile delivery, and continuous engineering improvement.

Build and maintain full-stack web applications and backend services for PUMA’s global digital ecosystem. Develop React and TypeScript interfaces, Java and Spring Boot APIs, microservices, and AI-powered conversational experiences. Collaborate with product, design, architecture, data, and engineering teams; optimize performance, accessibility, security, observability, and reliability; troubleshoot production issues; contribute to technical design and engineering standards; and mentor junior engineers.

Design, build, and operate scalable backend systems, APIs, microservices, and distributed services. Lead technical implementations, improve performance, reliability, security, observability, and operational excellence, and collaborate with product, architecture, data, and engineering teams. Contribute to cloud-native and event-driven architectures, production support, incident management, technical reviews, automation, and continuous improvement. Mentor engineers through code reviews and technical guidance while delivering secure, high-performing business and consumer-facing applications.

Design, develop, and operate scalable backend APIs, microservices, and distributed systems. Build cloud-native, event-driven, data-intensive applications using databases, caching, messaging, search, and observability technologies. Lead technical design, improve performance and reliability, participate in architecture reviews, support production incidents, mentor engineers, and collaborate with product, architecture, data, and engineering teams.

Supports enterprise sales cycles for a data security platform by leading technical discovery, demonstrations, proof-of-concepts, and evaluations. Partners with account executives, security leaders, architects, Product, and Engineering to translate customer challenges into solutions, influence product development, build scalable sales processes, and enable internal teams and partners. Requires strong cybersecurity, cloud, SaaS, API, communication, troubleshooting, and technical presentation skills.