Top Software Engineer Jobs in Vancouver

Develop and maintain C/C++ software driving FortiGate UTM features (AV, web filter, DLP, anti-spam). Research protocols, improve product design, promote best practices, troubleshoot network/application-layer issues, and use development tools and source control in a Linux/UNIX environment.

Design, implement, test, and troubleshoot infrastructure and platform services (OpenStack, Kubernetes, databases) on cloud and bare metal. Optimize automation workflows and performance, investigate and resolve complex issues, provide technical leadership, collaborate with developers to ensure high-quality deliverables, and automate testing and monitoring using Bash or Python.

Lead the architecture, development, and delivery of scalable backend systems, APIs, data pipelines, and services supporting global 3D and computer vision applications. Drive technical direction, system performance, resiliency, observability, and maintainability. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and team growth, and shape engineering culture and long-term technical vision.

Lead design and implementation of scalable, secure Forma Data cloud services. Act as technical lead across full software lifecycle, write and operate cloud services, mentor engineers, solve complex distributed-system problems, and collaborate globally to integrate SaaS products with Autodesk tools.

Design and build advanced macOS features for AutoCAD, estimate and deliver projects on schedule, improve application performance, write unit-tested C++ and Swift/Objective-C code, collaborate with cross-functional teams, and evaluate new technologies to maximize development efficiency.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from ad platforms, order systems, and real-time events. Ensure reliability, observability, and maintainability across event-driven and batch architectures, implement authentication flows, optimize data workflows in a cloud-native environment, and collaborate with product, infrastructure, and data teams to onboard new sources.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

Lead architecture and delivery of Dialpad's agentic AI platform, building scalable multi-agent orchestration, memory and retrieval systems, real-time voice reasoning, inference optimization, safety/observability, and production integrations while mentoring engineers and partnering with product and research.

As a Senior Software Engineer, you'll own product features, design scalable systems, mentor teammates, and ensure engineering excellence, focusing on real-time workflows for the Dialer team.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.

Develop and maintain Go-based, cross-platform cybersecurity endpoint agents and cloud microservices. Build secure, scalable, fault-tolerant REST APIs using Go and TypeScript, implement CI/CD automation, optimize system performance and resiliency, lead Agile initiatives, mentor engineers, and collaborate cross-functionally to solve complex cybersecurity problems.

Design, build, and deploy scalable backend systems and customer-facing products. Own end-to-end features from data models to operability, collaborate with cross-functional teams, and tune products for high quality and business impact.

Design, build, and operate a cloud-native data and ML platform handling billions of events. Own end-to-end pipelines, feature stores, model training/serving, observability, and data product SLAs. Apply distributed systems, MLOps, and LLM/agentic systems to ensure reliable, low-latency access to features and production models with business-focused impact.

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Design, build, and maintain scalable, high-performance web applications using React, Node.js, and AWS. Collaborate with cross-functional teams on architecture, implement backend microservices, apply containerization and orchestration, enforce best practices, and solve complex problems. Mentor team members and participate in special projects.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

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.

Designs, builds, and evolves scalable backend systems for a live mobile game. Responsibilities include supporting live-ops and game releases, leading incident management and reliability improvements, driving backend technical roadmaps, delivering integrated server-client features, mentoring engineers, coordinating with cross-functional teams, and improving code quality, performance, and operational readiness.

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.

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.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Design and implement .NET solutions using AI agents and GitHub Copilot within a spec-driven development process. Ensure test-first delivery, code quality, security, and performance. Collaborate with product, design, and data science, mentor junior engineers, and promote cross-team best practices and process continuity.