Top Software Engineer Jobs in Vancouver

Lead full-stack platform architecture and development across React, Node.js, and PHP. Improve scalability, performance, APIs, databases, CI/CD, cloud infrastructure, testing, SEO, and payment workflows for an eCommerce platform. Own the design system, conduct final code reviews, establish engineering standards, mentor engineers, and contribute hands-on to complex software development.

Build and optimize full-stack product features, APIs, and user interfaces using React, TypeScript, Node.js, Express, Prisma, and PostgreSQL. Collaborate with engineers, product managers, and designers to deliver scalable experiences, translate user needs into technical solutions, implement testing and monitoring, and contribute to architecture and technical strategy.

Set technical strategy for backend identity decisioning systems, lead major engineering initiatives, and ensure highly available operations. Partner with product, design, and analytics teams; establish coding, architecture, monitoring, testing, and on-call standards; communicate technical decisions; and mentor engineers. Build and scale distributed systems supporting KYC, user lifecycle management, and identity decisions across international markets.

Lead architecture and long-term technical direction for Docker Hardened Images (DHI). Define platform standards for image and Helm chart hardening, supply-chain posture (SBOM, SLSA, signing), and distribution. Drive cross-functional roadmaps, resolve ambiguous packaging/security problems, influence upstream OSS, mentor senior engineers, shape test and tooling strategy, and participate in on-call incident response.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Build and own automated testing frameworks, CI/CD infrastructure, load and stress testing, and chaos engineering practices for a brokerage platform. Write primarily Go, integrate AI and LLM tooling into quality workflows, investigate application and Kubernetes failures, improve developer tooling, and mentor engineers on reliability and test coverage.

Build infrastructure for reproducible robot training and evaluation datasets, including multimodal ingestion, temporal alignment, provenance, quality controls, storage, versioning, replay, and reliable delivery. Own schemas, lineage, observability, failure recovery, safe backfills, and dataset reproducibility across video, sensor, command, intervention, outcome, and machine-health data.

Own embedded software across microcontrollers, RTOS environments, embedded Linux, and robot runtime components. Design firmware, drivers, real-time services, communications, diagnostics, calibration, recovery, and hardware interfaces. Bring up electronics, measure system performance, investigate integrated-machine failures, and build simulation, hardware-in-the-loop, fault-injection, and regression testing. Ensure software is observable, recoverable, version-compatible, and reliable under degraded conditions.

Develop real-time whole-body control architecture for insectoid robots, including dynamics modeling, force allocation, trajectory tracking, state estimation, safety logic, and recovery. Implement production C++ controllers, system identification, simulations, hardware-in-the-loop testing, and physical-machine validation. Measure performance envelopes, diagnose failures, and integrate control software with embedded systems and actuators.

Lead development and modernization of cloud-native Java and Spring Boot services on AWS. Drive migration from legacy systems, event-driven architecture, automated testing, documentation, production reliability, and secure API design. Build and operate production AI agents using Amazon Bedrock and related frameworks, with evaluation, guardrails, observability, cost controls, and human oversight. Mentor engineers, lead technical direction and code reviews, improve delivery practices, and collaborate across teams on customer data and enterprise applications.

Own the architecture and technical strategy for Xsolla’s smart wallet and account abstraction platform. Design ERC-4337 user operations, EIP-7702 delegation, session keys, signing, paymasters, gas abstraction, custody, recovery, and dApp provider security. Lead cross-team technical decisions, threat modeling, production escalations, engineering standards, documentation, and mentorship. Build and operate reliable wallet infrastructure using Go, TypeScript, Solidity, distributed systems, Kubernetes, PostgreSQL, and event streaming while protecting user funds and supporting compliance needs.

Build AI-powered developer infrastructure, background-agent systems, agent evaluation frameworks, feedback loops, and internal tooling. Improve AI-enabled code review, testing, adoption, reliability, observability, and security while partnering with engineers to understand workflow needs. Lead ambiguous, cross-functional technical projects from exploration through delivery and guide engineers in adopting effective AI development practices.

Leads full-stack software development, solution architecture, performance optimization, security, testing, and code quality. Translates business requirements into scalable applications, contributes to planning, conducts code reviews, mentors developers, supports users, and collaborates with technical and business stakeholders. Requires extensive experience with C#, ASP.NET MVC, JavaScript frameworks, SQL Server, database optimization, secure development, testing, and TDD.

Lead the architecture and implementation of high-performance, reliable core services operating at massive scale. Design synchronous and asynchronous APIs, database schemas, and distributed systems; conduct benchmarking, profiling, monitoring, and optimization; participate in reviews and on-call rotations; resolve production issues; and drive independent experiments and solutions.

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.