Top AWS Jobs in Vancouver

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

The Senior Product Manager for Security will lead the product vision and strategy for security features, working with engineering and other teams to enhance data security and safeguard customer trust.

Design and implement a distributed query optimizer for MongoDB: research query systems, architect and build features to improve query performance, collaborate across teams, mentor engineers, and drive long-term roadmap and production-quality changes in a large C++ codebase.

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.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.

Design, build, and optimize Databricks Lakehouse data platforms and production ETL/ELT pipelines using PySpark, Delta Lake, and medallion architectures. Implement governance with Unity Catalog, manage CI/CD and IaC, optimize Spark and clusters for performance/cost, collaborate with data science and analytics teams, and mentor engineers while driving observability and security/compliance practices.

Design, build, and optimize Snowflake-based data platforms: ingest and model data, implement ELT pipelines, enforce governance and security, tune performance, build CI/CD, enable near-real-time solutions, mentor engineers, and collaborate with stakeholders.

Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.

Drive CI efforts, ensuring reliable and scalable development pipelines, while mentoring other engineers and improving developer productivity through tooling and automation.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

The Senior Software Engineer II will design automated reliability systems, improve tooling for incident management, and enhance observability infrastructure, contributing to operational excellence across engineering teams.

Develop high-performance enterprise software solutions, mentor junior engineers, ensure secure coding, and improve development workflows.

Manage and mentor a team of software engineers, deliver large-scale distributed systems, engage in architectural discussions, and ensure high-quality code delivery.

As a Lead Software Engineer, you will design and implement resilient distributed systems, write production-ready code, mentor junior engineers, and guide architectural direction.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The Engineering Manager will lead the data platform team, driving architectural decisions, optimizing systems for performance, and collaborating cross-functionally to enhance data usability and value.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

Lead cloud operations automation for Enterprise Imaging: design, implement, and automate reliable, secure cloud infrastructure; develop tooling and CI/CD/Terraform pipelines; manage Kubernetes deployments; monitor performance and logging; lead incident triage and resolution; provide 24×7 rotating on-call support and define Cloud Operations procedures.

The Senior Software Engineer will develop backend services, optimize infrastructure, improve processes, maintain CI/CD pipelines, and mentor team members in a collaborative environment.

The Staff Analytics Engineer will develop and manage the Financial Subledger Data Platform using dbt and Snowflake, ensuring data quality, building models, automating workflows, and coaching an Analytics Engineer.

Lead design, automation, and maintenance of cloud-based database infrastructure (primarily SQL Server and MySQL). Improve reliability with monitoring, HA/DR, automation, troubleshooting, on-call support, and mentoring of junior engineers while collaborating across teams.