Top Software Engineer Jobs in Vancouver

Lead architecture and implementation of routing, dispatch, and real-time tracking systems. Design scalable backend services and APIs, integrate with TMS/ERP systems, build dispatcher web interfaces, mentor engineers, and collaborate with product, design, and mobile teams to deliver fleet optimization features at scale.

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.

Build and operate Airbnb's global cloud networking infrastructure including service mesh, cross-region gateways, load balancers, and edge security. Work with open-source communities (k8s, Istio), design multi-region cloud network architectures, develop operational tooling, and collaborate with product, engineering, and security teams to optimize network performance and reliability.

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.

Build and own a physics-based digital twin and simulation platform for off-grid power campuses, modeling PV, BESS, weather, terrain, and dispatch; ship offline-capable field software; collaborate with electrical, mechanical, and robotics engineers and validate models against field data.

Develop data pipelines and AI systems to process data from multiple sources. Focus on simplicity, reliability, and maximizing sales efficiency while shipping features regularly.

As a Platform Engineer at Revic, you'll design and maintain scalable cloud infrastructure for AI systems, manage CI/CD pipelines, improve developer experience, and reduce operational friction while ensuring reliability and performance.

Develop and maintain scalable, secure full-stack web applications using Node.js, Express, TypeScript/JavaScript, EJS, HTML/CSS and MongoDB. Collaborate with product and design, implement integrations and automated tests, troubleshoot across the stack, leverage AI-assisted tools, participate in code reviews, and provide Tier 3 support as needed.

Build and maintain Quora's ML platform and ranking infrastructure to serve large-scale ML models. Work on GPU model serving, distributed systems, developer tooling, feature store modernization, and on-call rotation to ensure high availability, performance, and cost efficiency.

Full-stack developer working across frontend (React, TypeScript) and backend (Java 14+) to build scalable commerce intelligence systems. Responsibilities include collaborating with product and design, writing tests, owning end-to-end features, improving infrastructure (Terraform, Kubernetes), and mentoring teammates while delivering simple, extensible code.

Lead design and implement end-to-end features across frontend and backend for a data analytics platform. Build React/TypeScript UIs, backend services (JVM languages/Python/GraphQL), work with Postgres, cloud and distributed systems, collaborate with Product and UX, mentor engineers, improve processes, and adopt new technologies including AI to accelerate development.

Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.

Develop, test, and deploy software solutions on Sage ERP platforms, including integration with other systems, customization, and data management.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Cloud Software Engineer will design distributed systems for observability, ensuring reliability and performance, while automating operational work and collaborating with teams.

Develop real-time graphics software for multi-sensor simulation in autonomous driving. Collaborate with experts to enhance rendering technology and improve simulation realism.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.