Top Software Engineer Jobs in Vancouver

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 maintain Tempo’s cloud platform infrastructure, shared libraries, cross-service APIs, and core platform services. Drive architecture and technical standards, improve developer tooling and experience, ensure reliability and security, and collaborate across teams. The role requires expertise in Java or Kotlin, distributed systems, Kubernetes, Docker, AWS, databases, messaging, observability, and multiple programming languages. It also includes mentoring engineers, reviewing code, and leading initiatives spanning multiple teams.

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.

Design, scale, and operate business-critical services for player registration, authentication, identity verification, fraud and AML screening, compliance, responsible gaming, and communications. The role involves API and database performance tuning, architecture, integrations, monitoring, production reliability, data migrations, technical documentation, and mentoring engineers. Work includes supporting regulated, high-throughput systems using containers, asynchronous infrastructure, relational databases, and third-party providers in an agile environment.

Leads Java backend development for scalable microservices, APIs, event-driven systems, and integrations. Provides technical leadership, architecture guidance, mentoring, code reviews, incident management, and modernization support. Builds secure, observable, highly available services using Kafka, cloud infrastructure, CI/CD, automated testing, and DevOps practices. Partners across Engineering, Analytics, Product, and Architecture to govern APIs, manage event contracts, reduce technical debt, and support high-volume transaction platforms.

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.

Leads test framework architecture and continuous execution pipelines for cloud platform features. Defines quality engineering standards, advances automation roadmaps, tests highly available Kubernetes and containerized services, and improves continuous delivery stability and release confidence. The role also mentors junior engineers and partners with developers, product stakeholders, and engineering leadership.

Develop and maintain automated tests, testing frameworks, and CI/CD pipelines for cloud-native Kubernetes platforms. Validate scalable architectures, troubleshoot automated test failures, collaborate with engineering teams in Agile environments, and help establish testing best practices. The role requires Python and Pytest automation experience, Kubernetes and cloud-native production service testing, Linux and networking knowledge, security principles, and two years of relevant experience.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

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.

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.