Top AWS Jobs in Vancouver

Design, build, and scale cloud lakehouse data products (Databricks/Snowflake) from ingestion to analytics-ready datasets using medallion architecture. Develop reusable Python frameworks, Spark pipelines, and dbt/SQL transformations. Implement data modeling, governance, observability, validation, and SLA monitoring. Troubleshoot production issues, adopt AI to accelerate engineering, and provide technical leadership, code reviews, architecture decisions, and mentoring for global engineering teams.

Partner with Account Executives to drive new commercial business by leading technical discovery, solution architecture, demos, and POCs. Co-own pipeline, guide complex multi-stakeholder deals, provide product and GTM feedback, and build scalable enablement resources and demo environments for the SE team.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Lead live sessions, office hours, and project reviews for senior engineers transitioning into system architecture. Provide detailed architecture critiques, mentor students one-on-one, run architecture review boards, record instructional videos, conduct mock interviews, and coordinate supporting instructors to ensure high technical standards and student readiness for architecture roles.

Provide expert MySQL/InnoDB support to customer DBA teams: gather data, investigate issues, deliver analyses, run screen-share troubleshooting, author community content, build knowledge-base articles, and host webinars. Support includes performance tuning, HA, backups, Linux administration, monitoring, and occasional travel.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

The Lead Software Engineer will design and develop full-stack applications for construction project management, ensuring intuitive data workflows and collaborating across teams to enhance user experience and performance.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

Embed as the primary technical authority for post-sales customers to guide deployment architecture, onboarding, and adoption of agentic AI development workflows. Lead end-to-end onboarding and remediation engagements, design repeatable reference architectures, translate complex environments into secure network/identity/infrastructure patterns, capture product feedback, and document scalable delivery patterns to drive customer outcomes.

Own, harden, and operate bare-metal virtualization, HA storage, Linux pools, networking, monitoring, and incident response. Automate configuration and deployments, run audits, manage user environments, and act as primary on-call responder to ensure continuous uptime and security.

The Senior Back-End Developer builds and maintains server-side operations for cloud solutions, collaborating with teams to deliver software, support users, and document features.

Design, build, and deploy ML models across diverse use cases; work with managed cloud ML platforms and containerized solutions; collaborate with engineers on production integration and MLOps best practices; preprocess and analyze large datasets; mentor teammates and influence technical direction; translate complex ML concepts for technical and non-technical stakeholders.

Lead end-to-end client ML engagements: scope problems, design, build, and deploy production ML solutions across cloud and containerized stacks. Lead and mentor small teams, manage client relationships, evaluate emerging tools, and ensure models are production-ready and explainable to technical and non-technical stakeholders.

As a Backend/AI Systems Engineer, you will develop backend systems for AI workflows and enhance core functionalities for Spellbook's legal software. You'll tackle complex problems, ensure system reliability, and collaborate with product teams, while maintaining a hands-on ownership approach.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

Provide remote technical support, troubleshoot issues, design security solutions, manage cloud and virtualization environments, and communicate with clients. Requires strong IT skills and customer service.

Senior individual contributor role at an early-stage, distributed startup. Partner with the VP Engineering to solve hard engineering problems, build product features, and ship at scale using TypeScript, Postgres, and AWS. Must be hands-on, product-oriented, and experienced operating systems at scale.

Own and operate infrastructure-as-code across cloud, on-prem, and bare-metal; build CI/CD pipelines; containerize and orchestrate services; maintain observability and reliability; participate in on-call and incident response; enable engineering teams with self-service tooling and secure deployment practices.

Design, build, and operate backend services and APIs that deliver real-time GNSS/RTK corrections at low latency and high availability. Own ingestion, processing, distribution, observability, and testing of distributed systems while collaborating with cross-functional teams and responding to customer needs. Focus on scalability, reliability, performance, and production readiness for a large device fleet.

Design, build, and operate scalable backend services in Python or Go to power underwriting decisioning. Integrate statistical and ML models, implement APIs (REST, gRPC/GraphQL), ensure observability and testing, lead projects, and collaborate with product, data science, and underwriting teams to automate underwriting workflows.

Design and deliver full-stack features for AI voice and chat products at enterprise scale. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Lead architecture, design, and delivery of enterprise-scale Agentic AI solutions. Oversee multiple engineering pods, mentor teams, manage client-facing architecture discussions, ensure production-grade MLOps, cloud infrastructure, microservices, observability, and adoption of emerging AI technologies.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.