Top AWS Jobs in Vancouver

Serve as the technical SME for compliance automation, overseeing GRC control mapping, evidence collection, integrations, and continuous monitoring. Partner with engineering teams to embed compliance into workflows, support audits and framework rollouts, assign control ownership, reduce audit burden, and maintain audit readiness. Lead cross-functional initiatives and communicate compliance risks, control status, and progress to technical and leadership audiences. The role requires cybersecurity framework expertise, program management, cloud and API fluency, GRC platform experience, and familiarity with AI-enabled compliance workflows.

Design, implement, and operate cloud infrastructure and CI/CD pipelines. Drive architecture discussions, automate processes, improve container (EKS/ECS) platforms, support developers, mentor teammates, and participate in on-call rotation to ensure reliability, scalability, and security.

Analyze and monitor a complex hybrid network (on-premises data centers and Azure/AWS), perform maintenance and rollouts, troubleshoot complex issues, implement and support Cisco routing/switching, firewalls and load balancers, perform incident resolution and root cause analysis, maintain documentation and provide 24x7 on-call support.

Lead and mentor a team of developers, oversee cloud product delivery, drive engineering practices, and ensure high-quality standards while contributing to cross-functional initiatives.

As a Platform Engineer for Databases, you'll optimize MySQL infrastructure, solve performance problems, automate processes, and ensure database reliability in a collaborative team setting.

Design, build, and maintain scalable backend systems for web3 applications. Write clean, well-tested code, deploy and scale services on AWS, work with workflow engines, and collaborate on distributed system architecture while learning blockchain technologies.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.

Lead the architecture, scaling, reliability, and security of multi-region AWS infrastructure supporting high-throughput payment systems. Build immutable, self-healing environments with Terraform, Kubernetes, GitOps, CI/CD, and automated resiliency. Develop observability using Prometheus, Grafana, and OpenTelemetry; manage incidents and post-mortems; improve engineering velocity through Golden Paths and platform enablement; and mentor engineering teams on reliable infrastructure practices.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Partners with legal stakeholders to develop LLM, RAG, agentic AI, document-processing, search, evaluation, governance, security, and compliance applications. Writes tested Python or TypeScript code, manages AI infrastructure and deployment, establishes quality frameworks, and mentors legal users on no-code AI solutions while collaborating with IT and data teams.

Lead front-office investment technology implementations from current-state analysis and requirements through workflow design, configuration, integration, testing, training, and handover. Manage project plans, statements of work, governance, budgets, client communications, and teams of developers and consultants. Advise executive stakeholders on technology choices, operating models, data architecture, migration, quality assurance, and best practices across asset and wealth management platforms.

Lead a team of software engineers and architects delivering complex, AI-first cloud applications for enterprise clients. Responsibilities include people management, requirements gathering, architecture, backlog ownership, technical decision-making, AI-driven testing, client discovery, risk escalation, executive communication, mentoring, and pre-sales support. The role requires hands-on AWS cloud-native development, consulting expertise, and leadership across large, multi-stakeholder engagements.

Lead technical pre-sales for AI-enabled content management solutions: run discovery workshops, design scalable cloud and AI architectures, build demos and POCs (LLMs, RAG, LangChain, vector DBs), support proposals and delivery, and mentor teams to integrate AI into managed services for Box, SharePoint, and Blob Storage environments.

Lead implementation and improvement of secure AWS infrastructure, IaC, CI/CD security, cloud monitoring and incident response. Remediate vulnerabilities, enforce governance, administer MongoDB, run DR and observability, and embed security across the SDLC.

Design and develop advanced machine learning and generative AI solutions, including LLM fine-tuning, RAG architectures, prompt engineering, model evaluation, and MLOps. Architect scalable training, deployment, and retraining workflows on AWS using SageMaker and related services. Collaborate with engineering, QA, project management, and other stakeholders to deliver reliable AI applications and solve complex business problems.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

Lead end-to-end predictive analytics and machine learning initiatives, including forecasting, churn prediction, and risk modeling. Translate business needs into scalable ML solutions, build and deploy models on AWS SageMaker, develop production ML pipelines, and oversee monitoring, governance, explainability, and retraining. Collaborate with engineering and MLOps teams, communicate insights to stakeholders, and mentor junior data scientists while providing hands-on technical leadership.

Lead architecture and hands-on development for risk, fraud, scam prevention, money operations, reconciliations, and chargebacks. Build resilient, low-latency, event-driven financial systems with auditable ledgers, strong correctness, and high availability. Mentor engineers, establish technical direction, support production ownership, and collaborate with Product, Data/ML, Compliance, and engineering leaders. Apply AI-assisted tooling and deliver scalable, compliant services across global payment infrastructure.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Lead the technical vision, architecture, and roadmap for a large-scale physical access control platform. Design resilient, low-latency edge-to-cloud systems supporting offline operation, secure identity synchronization, device telemetry, and emergency lockdowns. Drive architectural reviews, cross-team consensus, engineering standards, innovation, and mentorship across distributed engineering organizations. The role requires deep expertise in low-level systems, cloud infrastructure, serverless architectures, databases, and secure integrations between physical devices and cloud control planes.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Lead and grow the Core Workspaces engineering team, set technical direction, and contribute to architecture and implementation. Build reliable, extensible agentic systems involving agent execution, tool use, context management, streaming, integrations, and long-running workflows. Partner with Product and Design to improve developer experiences while coaching engineers, raising technical standards, and optimizing reliability, performance, and operability.

Design and operate scalable, cloud-native data pipelines and orchestration systems for imaging, biomarker, and healthcare data. Build Databricks and distributed processing workflows, integrate DICOM data into data lakes, and implement validation, observability, monitoring, and fault tolerance. Collaborate with data science, AI, R&D, product, and data management teams to deliver secure, compliant, reliable data for analytics and machine learning.