Top AWS Jobs in Vancouver

Provide expert MongoDB technical support, troubleshoot complex deployments, administer Linux systems, advise on schema/design, performance tuning, backups, monitoring, and collaborate on support content and product strategy while occasionally traveling for team or customer meetings.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

Develops specialized tools for threat hunters and SOC analysts, focusing on architecting APIs and microservices within the Censys Platform to deliver security intelligence.

The Software Engineer II will develop backend services and maintain critical infrastructure for authentication and analytics, collaborating with cross-functional teams to enhance platform capabilities.

The role involves developing backend services and APIs, working with product teams, automating deployment, and enhancing the Censys platform.

Lead and manage global software engineering teams to drive technical initiatives, ensuring high-quality delivery of scalable products while fostering a culture of innovation and accountability.

Lead and develop a team of analysts, manage analytics projects, establish methodologies, and enhance reporting and automation processes.

The Senior DevOps Engineer will manage production infrastructure, CI/CD pipelines, cloud platforms, and troubleshoot complex issues while supporting engineering teams and enhancing operational stability.

Design, build, and operate high-correctness Rust services on critical platform paths. Own architecture through operations, make decisions around concurrency and async systems, improve reliability and observability, integrate Rust into a polyglot environment, and mentor engineers to raise system quality and ownership.

Lead and scale engineering teams, set technical vision and oversee architecture across frontend, backend, and infrastructure. Collaborate with product, research, and design; participate in code and design reviews, hire and develop engineers, and ensure scalable, reliable systems.

The role involves designing and implementing MLOps pipelines, optimizing machine learning processes, and ensuring model performance and compliance in a collaborative environment.

The Cloud Solutions Architect will design and implement cloud solutions for AI and ML, optimizing client pipelines and providing technical guidance.

Design, build, and deploy scalable ML platforms and pipelines; optimize and monitor model performance; enforce model governance and data compliance; mentor junior engineers; integrate AI solutions with product and engineering teams to deliver measurable business outcomes.

The Senior Designer provides central engineering support for EDA tools and workflows in IC development, focusing on automation, software solutions, and troubleshooting.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Design, build, and scale MLOps infrastructure and CI/CD/continuous training pipelines. Deploy and monitor ML models as microservices or batch jobs, manage cloud GPU/CPU resources with IaC, enable observability for model drift and latency, and collaborate with data scientists, engineers, and product teams to ensure reproducibility, compliance, and production reliability.

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Design and implement high-throughput database integrations and replication into ClickHouse. Improve system reliability, debug production issues using observability tools, write documentation, participate in on-call rotation, and collaborate with customers and cross-functional teams to drive product improvements.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.

Develop and train large-scale multimodal foundation models (vision and language) that fuse imaging with molecular data, build scalable distributed ML pipelines for petabyte-scale datasets, and collaborate with experimental scientists and engineers to productionize models and systems.

Design and evolve cybersecurity operations architecture, lead detection engineering and log ingestion strategies across cloud and SaaS, implement AI-augmented detection and response pipelines, conduct security architecture reviews, improve incident response and threat hunting, mentor SecOps teams, and advise leadership on operational risk and tooling decisions.

Lead QA automation efforts for web applications: design, build, and maintain test frameworks (Playwright/Locust), create and run automated and manual tests, validate APIs, leverage AI/LLM tools to author, debug, and optimize tests, analyze failures, and collaborate with engineering to reduce manual effort and improve product quality.

Design end-to-end cloud-native AI and data platform architectures enabling Digital Twin and Knowledge Graph solutions. Lead architecture discussions, define scalable platform patterns, collaborate with AI/data/infrastructure teams, evaluate emerging AI technologies, produce technical documentation, and support solution discovery and roadmap planning.