Top Software Engineer Jobs in Vancouver

Lead cross-organizational technical strategy and execution for core sharing and collaboration systems. Architect and implement foundational frontend/backend and platform solutions at massive scale, drive AI/LLM adoption, mentor engineering leaders, resolve systemic bottlenecks, and remain hands-on in critical design, prototyping, and code contributions.

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.

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.

Build and scale backend systems for Knak’s AI-powered marketing automation platform. Develop Laravel APIs, Python and Node.js AI microservices, and scalable AWS infrastructure. Optimize MySQL databases, support observability and performance, maintain code quality through testing and reviews, collaborate cross-functionally, contribute to architecture decisions, and mentor engineers.

Develop and maintain AV automation tools and distributed test platforms to measure device audio/video quality. Build front-end and backend services, operationalize AV metric pipelines, and collaborate with internal teams and external vendors to validate device capabilities and roll out AV-related applications.

Build and maintain internal AI enablement tools, workflows, and guardrails to help engineers use coding agents and LLMs safely. Evaluate models, partner with teams to apply AI, track adoption and impact, and provide documentation, coaching, and advocacy to increase engineering velocity.

Design, build, and operate high-throughput data movement and replication services for Microsoft Fabric. Lead architecture, write and review maintainable code, debug and monitor systems, drive testing and automation, identify dependencies, and collaborate with stakeholders to ensure reliability, performance, security, and customer-focused metrics.

Architect, build, and operate globally distributed cloud platform services for low-latency messaging, resilient APIs, and vehicle connectivity. Own high-throughput messaging systems, gRPC APIs, Kubernetes and infrastructure automation, observability, ingress, PKI, testing, and multi-region reliability. Support on-call operations, capacity planning, cost optimization, and multi-tenant platform growth across development, staging, and production environments.

Develop and deliver AI/ML features (LLMs, RAG, agent orchestration) including backend services in Python, integrate cloud services (AWS Bedrock), design knowledge bases and retrieval, improve prompts and agent reliability, review code, write tests and docs, mentor juniors, and participate in architecture and risk management.

Build and maintain Python services and containerized firmware emulation environments on Amazon EKS. Implement and manage Terraform infrastructure, develop orchestration APIs and tools, debug across containers, clusters, and networks, contribute to CI/CD, and collaborate with firmware, cloud, and QA teams to support large-scale simulation and testing.

Develop and maintain Canvas frontend applications using React and TypeScript. Build reusable components, integrate with REST APIs, improve performance and UI consistency, write unit tests, participate in code reviews, CI/CD, and support production. Collaborate with designers, QA, and cross-functional teams to deliver scalable, accessible web experiences.

Build and maintain highly scalable, low-latency microservices in Go to ingest, process, and manage user profile and audience data. Implement event-driven systems with Kafka, work with distributed stores (ScyllaDB, TiDB, Redis), optimize performance and memory, and collaborate with Product, ML, Data, and Infrastructure teams.

Build and maintain full-stack features across React web, React Native mobile apps, and Python/Django backend services. Design reliable REST APIs for intermittent connectivity, write well-tested code, contribute to architecture, mentor engineers, participate in on-call support, and improve development workflows. The platform serves construction workers on active job sites and uses PostgreSQL and AWS.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Lead design and delivery of scalable backend features, mentor engineers, ensure operational excellence and system reliability, collaborate cross-functionally, and drive architecture and automation improvements.

Develop and optimize full-stack software and algorithms for robotic manufacturing systems. Design, implement, test, and integrate AI-driven software, run experiments to improve performance, participate in design and code reviews, and collaborate cross-functionally to deliver robust, scalable solutions.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

As a Software Engineer at Canonical, you will design, build, and ship software, improve packaging and distribution processes, and mentor colleagues while contributing to open source projects.

The Junior Ubuntu Software Engineer will design, build, and ship software, focusing on quality and resilience, while engaging with the open source community.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Design and implement security and privacy features across Tailscale's codebase. Audit features for vulnerabilities, perform threat modeling and security analysis, drive mitigations to resolution, and spend significant time writing secure software (50%+ coding). Collaborate with engineering teams to promote secure coding and provide guidance and training.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Design and implement product-level authentication, authorization, multi-tenant isolation, and privacy-preserving data lifecycles. Ship security-sensitive changes end-to-end, own application and API security, threat modeling, telemetry for security events, and integrate conservative partner security controls.