Top Software Engineer Jobs in Vancouver

Designs, develops, and maintains scalable test automation frameworks for backend services, REST APIs, integrations, end-to-end workflows, interactive maps, geospatial features, and dynamic visualizations. The role validates AWS cloud-native applications, integrates automated testing into CI/CD pipelines, troubleshoots failures, performs root cause analysis, and partners with engineering, product, and DevOps teams to promote quality throughout the software development lifecycle.

Designs, develops, and deploys scalable production AI features and shared services. Builds backend APIs integrating LLMs, RAG, AI agents, machine learning, deep learning, and computer vision. Applies AI-native engineering and agentic SDLC practices, including coding agents, specification-driven development, automation, testing, and monitoring. Collaborates across product and engineering teams, contributes to architecture and technical decisions, mentors engineers, and improves AI reliability, performance, security, and cost efficiency.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

Lead technical strategy and architecture for a backend search team building highly available distributed systems, recommendations, and discovery experiences. Partner with product, design, and analytics; establish engineering standards, operational processes, monitoring, testing, and on-call practices. Drive major technical initiatives, mentor engineers, communicate technical direction, and support scalable consumer and merchant experiences.

Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and on-call support. The role also involves technical leadership, roadmap ownership, code quality standards, mentoring, and cross-functional collaboration.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

Build production AI harness systems for Kinaxis’s Databricks-based enterprise Data Fabric. Responsibilities include developing agent execution frameworks, integrating LLMs with governed data, implementing tool calling and workflow controls, enforcing multi-tenant isolation, and delivering APIs, SDKs, libraries, templates, and operational runbooks. The role requires distributed-systems engineering, cloud data-platform experience, secure multi-tenant design, and practical expertise in agent orchestration, retrieval, evaluation, guardrails, metadata, lineage, and governance.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Develop and operate reliable AI-powered backend systems for regulatory workflows. Translate customer problems into simple solutions, collaborate with Product and Design, write performant Python and Django code, and manage technical complexity across product projects. The role requires production Django experience, hands-on LLM integration without abstraction libraries, and the ability to move from experimentation through testing and production delivery.

Lead architecture and hands-on development for a cloud-native data enrichment service. Design scalable, reliable, and high-performing solutions; establish engineering patterns, tooling, and infrastructure practices; and guide modernization efforts. Collaborate with engineering, product, and UX stakeholders, mentor senior developers, communicate technical tradeoffs, and drive adoption of effective practices across teams.

Lead the architecture and implementation of scalable, maintainable software components for an AI manufacturing platform. Develop automated testing strategies, benchmark system performance, identify bottlenecks, propose optimizations, and collaborate cross-functionally on feature integration. The role also involves debugging, cloud infrastructure, DevOps practices, containerization, and frontend framework collaboration.

Lead a portfolio company’s software engineering function by writing production code, modernizing its software development lifecycle, coaching engineers, setting the product roadmap with the GM, and implementing AI-enabled development and product capabilities. The role requires rapidly adapting to varied technology stacks, improving legacy systems without rewrites, and operating independently while collaborating directly with operators and customers.

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.

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.

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.

Develop and modernize SQL Server-backed data-access systems for radiology workflows. Responsibilities include database schema and query refactoring, performance optimization, secure and reliable data access, type-safe Kotlin and jOOQ repositories, migration pipelines, automated testing, CI/CD tooling, technical standards, architecture input, code reviews, and developer mentorship.

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.

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.

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.

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.