Top Software Engineer Jobs in Vancouver

Design, develop, test and operate large-scale distributed production systems supporting animation workflows. Collaborate with engineers, artists and partners to gather requirements, build features, automate, monitor, troubleshoot, and release backend and frontend services for asset management, scheduling and data synchronization.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Join the Billing squad to design and build a flexible billing engine, payment/tax integrations, rating and charging infrastructure, GraphQL APIs, and user interfaces within a serverless TypeScript microservices stack. Collaborate with product, QA, and design to deliver production-grade solutions for communications service providers.

As an Automation Software Engineer, develop and deploy Automated Tests for AAA game development, collaborating with teams to optimize test automation infrastructure.

As a Software Test Engineer, you will conduct gameplay testing, create documentation, support QA processes, and communicate with development teams to ensure smooth gameplay.

The Software Test Engineer will perform audio testing, create specific test plans, support QA teams, and communicate progress during development cycles.

The Software Test Engineer will assist development teams with early testing, documentation creation, and ensure quality in multiplayer game modes through collaboration with QA and production teams.

As a UI Software Engineer, you'll build and architect user interfaces for AAA games, optimizing performance and collaborating with designers and artists.

As a UI Dev Support, you'll work with development teams for early testing, document creation, and assist QA teams, contributing valuable feedback for successful feature testing.

Design, develop, and maintain scalable, low-latency distributed systems for a Cloud Gateway IoT platform. Build event-driven solutions using Kafka and Redis, deploy on cloud (AWS), optimize message brokers and data stores, participate in on-call rotations, improve CI/CD and monitoring, and collaborate cross-functionally to ensure reliability and performance.

Lead technical vision and architecture for an enterprise data platform. Design scalable ETL/ELT pipelines (dbt, Python, SQL), data models, streaming ingestion (Kafka, Snowpipe), orchestration (Airflow/MWAA), IaC/CI-CD, observability (Datadog), governance, and mentor engineers while collaborating cross-functionally to improve platform reliability and AI-driven practices.

Design, develop and maintain Salesforce-centric integrations. Provide technical leadership, write testable code, build E2E integration tests, mentor teammates, support CI/CD pipelines, monitor production, and participate in Agile practices and on-call support.

Lead architecture and evolution of the enterprise data platform. Design scalable ETL/ELT pipelines, optimize cloud data warehouses, standardize semantic layer, drive CI/CD and IaC, adopt streaming ingestion, implement observability and governance, mentor engineers, and improve data quality and platform reliability across analytics and ML use cases.

Lead architecture and long-term direction of a multi-petabyte data platform powering AI-driven advertising. Drive cross-team initiatives across data engineering, ML, and product; improve scalability, reliability, cost-efficiency, and operational excellence; mentor senior engineers and influence platform strategy and modernization.

Build and maintain end-to-end web applications powering sales and operations. Design tools for quoting, scheduling, and fulfillment, integrate AI into products, collaborate on UX, ship high-impact features, and contribute to architecture, deployment, and engineering culture.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

Join the CAMS engineering team to build and improve the Kaleris TMS platform, focusing on web application development and logistics solutions.

Design and build the Neki control plane to provision, scale, and heal sharded PostgreSQL clusters. Implement high-availability, disaster recovery, backup/restore, and migration tooling. Operate distributed, fault-tolerant services on Kubernetes, participate in on-call rotations, and work with customers to translate workloads into platform improvements.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

The Senior Backend Software Engineer will lead product development, maintain systems, design APIs, and mentor junior engineers while improving overall product quality.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Design, build, and operate high-scale backend services for the Teams AI Platform. Work with Azure technologies and distributed databases, collaborate with partner teams and AI groups, define scalable architectures and reusable libraries, and improve service availability, reliability, performance, and automation.