Top Software Engineer Jobs in Vancouver

Build and scale distributed backend services for growth infrastructure (notifications, referrals, targeting, lifecycle communications, ML ranking). Design resilient service-oriented systems on cloud, ship well-tested production code, run growth experiments/A-B tests, improve developer tooling and shared platform capabilities, and collaborate cross-functionally to deliver measurable acquisition and retention impact.

Build production-grade AI workflows, automations, and voice AI agent systems for internal and customer-facing use. Ship code to production, work cross-functionally with founders and engineers, and design integrations, tooling, and infrastructure that scale company operations and customer experience.

Build production-grade AI workflows, automations, and agent systems to power recruiting, security/compliance automation, finance and onboarding tooling, CRM integrations, and growth automations. Work across product, engineering, and operations to design API-based integrations and LLM-powered systems using modern models and automation tools.

Build and ship production full-stack features from design through deployment. Harden prototypes into production, maintain CI/CD and containerized deployments, integrate LLMs and third-party APIs, implement application security and monitoring, respond to incidents, and collaborate with non-technical stakeholders to translate business needs into robust systems.

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.

Develop and optimize Netflix Animation's proprietary renderer (Glimpse): implement raytracing, sampling, shading, and scene representation; build artist-facing tools; collaborate with artists; write high-performance, parallelized code for CPU/GPU; and deploy production-ready rendering solutions.

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.

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.

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.