Top Software Engineer Jobs in Vancouver

Lead architecture and hands-on development for a unified SaaS frontend platform. Design reusable UI frameworks, modernize legacy codebases, improve developer experience, and guide engineering teams on scalable patterns, tooling, security, and performance. Collaborate with engineering, product, and UX stakeholders, mentor senior developers, prototype solutions, and scale successful practices across products. The role requires backend and frontend expertise, cloud deployment, Kubernetes operations, distributed data stores, and technical leadership without people-management responsibilities.

Build and operate scalable backend services and Kafka/Flink stream-processing pipelines for IoT telemetry from hundreds of thousands of devices. Develop APIs, geofencing, alerting, trip construction, and asset-location systems while collaborating with embedded and IoT teams. Improve observability, reliability, code quality, and AWS infrastructure. The role also involves mentoring engineers and using AI coding tools.

Build and maintain end-to-end SaaS features across Python/Django backends, Angular frontends, and relational databases. Diagnose bugs, race conditions, performance issues, and production incidents; create APIs, webhooks, email parsers, and OCR pipelines; conduct code reviews; document architecture; and collaborate directly with customers. The role also involves automated testing, integrations, containerization, cloud infrastructure, and AI-assisted development.

Develop and maintain open-source client code and backend services focused on networking features. Design, test, document, and optimize distributed networking components, improve scalability and stability, support observability and incident response, handle customer escalations, and apply security-first engineering practices. Collaborate asynchronously with engineers, product managers, and UX/UI designers throughout the product lifecycle.

Design and develop full-stack web applications using React, gRPC, and modern web technologies. Build responsive, accessible, performant user interfaces; create and maintain APIs and backend services with Node.js or Python; integrate front-end and server systems; troubleshoot issues; and deploy applications using platforms such as Vercel. Collaborate with product managers, UX designers, and stakeholders to deliver high-quality user experiences.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

Build full-stack features for an AI-powered insurance application using Python, React, Redux, PostgreSQL, and AWS. Integrate and deploy AI/ML models, develop data pipelines, design scalable cloud architectures, and create user experiences around intelligent functionality. Participate in architecture planning, code reviews, releases, cross-team collaboration, and engineering initiatives while researching new AI applications.

As a Software Engineer on the Pipedream team, you'll enhance Pipedream Connect's capabilities, develop APIs, and work with a diverse tech stack, including Go and Node.js, to deliver impactful integrations for customers.

Lead architecture and full-stack development for EASE, including TypeScript and Vue applications, backend APIs, automated testing, deployments, and production support across AWS and air-gapped on-premises environments. Own complex features, gather stakeholder feedback, improve performance and scalability, enhance CI/CD, and mentor engineers. The role also involves prototyping generative AI capabilities, integrating simulations, working with geospatial data, and maintaining secure, reliable distributed systems.

Own platform quality, architecture, security, compliance, technology adoption, and production improvements. Design and ship health report products with scientific product partners. Apply deep expertise in distributed systems, database design, or message-driven architectures, while using AI tools responsibly and reducing platform complexity through migrations, deprecations, or refactoring.

Design, build, maintain, and scale full-stack software systems. Own technical areas across the product lifecycle, resolve complex issues, improve code and infrastructure quality, participate in reviews, document technical designs, and collaborate with engineering and product teams to deliver resilient solutions.

Develop and enhance Wenco’s Machine Guidance software suite within an agile team. Responsibilities include designing solutions for mining challenges, developing cross-platform applications, testing, deployment, monitoring, customer issue resolution, release planning, and leading technical initiatives that improve productivity and quality. The role emphasizes backend development, with some frontend work, and may involve international travel.

Modernize a mission-critical real-time C++ fleet management system by extracting legacy functionality into Kubernetes-based Python microservices and React applications. Responsibilities include architecture, service boundaries, data models, APIs, production delivery, CI/CD, observability, testing, deployment, and safe incremental modernization. The role requires hands-on software development, ownership of technical decisions, and collaboration with engineering and non-technical stakeholders.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Build and operate scalable full-stack software and AI-powered products for IoT-driven physical operations. Responsibilities include defining technical strategy, developing backend services, APIs, frontend and potentially mobile features, transforming AI capabilities into customer products, partnering across functions, leading complex projects, mentoring engineers, and improving engineering standards.

Build core MongoDB distributed database infrastructure focused on data partitioning, data movement, dynamic scaling, cluster elasticity, workload execution, and performance. Design reliable distributed protocols, solve complex scalability problems, review code, participate in architecture decisions, lead feature development, and mentor engineers. The role requires production-quality C++ development and strong expertise in distributed systems, computer architecture, performance, networking, observability, and resiliency.

Lead the design and delivery of production-grade AI agents and automation workflows. Translate ambiguous business processes into reliable software, integrate agents with systems of record using MCP, and establish architecture, evaluation, monitoring, safety, auditability, human review, and rollback practices. Partner with data and business teams, drive reusable technical patterns, mentor engineers, and document systems for sustainable operation.

Leads technical direction for high-visibility, cross-organizational software initiatives. Designs and evolves scalable merchandising APIs and services, develops internal platforms and tooling, and delivers reliable full-stack solutions using React, Node.js, and TypeScript. Mentors engineers, conducts code reviews, influences architecture, and collaborates across engineering, marketing, and product teams. The role also involves distributed systems, cloud infrastructure, CI/CD, container orchestration, experimentation, analytics, and potentially open-source contributions.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build and own backend services, web applications, REST APIs, webhooks, and enterprise integrations. Lead customer integrations from scoping through launch, improve the operator dashboard, and maintain production reliability through monitoring, incident response, and root-cause analysis. Collaborate with product, success, and customer engineering teams while contributing to code reviews, technical design, mentoring, security, and AI-assisted development.

Build and operate reliable software that automates healthcare processes such as benefit verification and prior authorization. Lead complex product initiatives from discovery through launch, contributing across backend services, interfaces, data models, integrations, and AI-powered workflows. Own technical direction, architecture, testing, observability, safe rollouts, and shared services while partnering with Product, AI, Operations, and users. Mentor engineers and develop AI-native tools and processes.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, usefulness, and trustworthiness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development workflows. This is a flexible, remote contract role focused on evaluation rather than production coding.