Top Software Engineer Jobs in Vancouver

Develop and maintain scalable, secure Java applications for Mastercard’s real-time Decision Management platform. Responsibilities include implementing application logic, writing unit, integration, and functional tests, participating in Scrum ceremonies, diagnosing complex problems, supporting sprint commitments, collaborating with stakeholders, and mentoring junior engineers. The role involves high-performance applications, fraud prevention, and technologies including Spring, SQL, Oracle, testing frameworks, and cloud-native tools.

Develop and maintain high-performance Java backend applications for Mastercard’s decision management platform. Responsibilities include software design, coding, unit and integration testing, troubleshooting, feature ownership, Agile/Scrum participation, stakeholder collaboration, and mentoring junior engineers. The role involves building scalable, secure, real-time systems supporting fraud prevention and using technologies such as Spring, Oracle, Docker, Kubernetes, and AI-assisted development tools.

Design, develop, test, and maintain high-performance Java applications for Mastercard’s Decision Management platform. Build scalable, secure functionality; create unit, integration, and functional tests; troubleshoot complex issues; and deliver features through Agile/Scrum processes. Collaborate with engineers and stakeholders, mentor junior team members, and communicate risks and progress. The role supports real-time decisioning and fraud prevention using streaming analytics, AI engines, APIs, and distributed technologies.

Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding tools. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage metrics, and iterate based on customer feedback. Document effective prompts and development patterns while collaborating across teams.

Build end-to-end applications, workflow automations, and basic agents using AI coding agents. Translate customer needs into specifications, deploy solutions, measure usage and outcomes, evaluate AI-generated output for security and quality, engage with customers, and document effective prompts and development patterns.

Build and operate high-throughput backend services for AI agent orchestration, calendar systems, real-time infrastructure, APIs, and data pipelines. Design scalable platform services, infrastructure as code, and highly available production systems using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams to deliver AI-powered features, contribute to reliability and testing practices, and mentor junior engineers.

Build and maintain customer identity and authentication services for registration, login, authorization, MFA, step-up authentication, and account lifecycle flows. Develop backend APIs in Python or Kotlin, integrate Okta, Auth0, and ForgeRock, write automated tests, participate in code reviews, deploy features, debug production services, improve reliability, and collaborate with engineering, product, and security teams under mentorship.

Leads the technical direction and implementation of large-scale product features. Builds secure, reliable, maintainable, and well-tested full-stack software; evaluates technical trade-offs; collaborates with product and design teams; resolves production issues; contributes to reviews and documentation; and mentors junior engineers.

Design, build, and maintain customer-facing React frontend systems for search, catalog navigation, data lineage, dashboards, and AI-assisted analysis. Improve performance across large trees, tables, and streaming interfaces; shape product and UX decisions with design and product partners; raise engineering quality through reviews, documentation, complex bug resolution, and mentorship.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.

Build REST APIs, customer-facing React components, backend monitoring, CI/CD pipelines, and content-management integrations. Collaborate with engineering, UX, and visual design teams while developing full-stack solutions using JavaScript or TypeScript, React, Node.js, server technologies, and cloud platforms. The role is fully remote but limited to candidates located in Canada within the PST or MT time zones.

Lead complex backend engineering projects from design through launch, solve architecture and high-risk technical problems, conduct code reviews, develop scalable microservices and distributed systems, mentor engineers, and collaborate across teams. The role requires strong experience with backend applications, prominent programming languages, public cloud platforms, databases, software architecture, agile development, and performance trade-offs. Candidates must be located in Canada within the PST or MT time zones.

Build and ship scalable backend features and services in a distributed environment. Responsibilities include developing RESTful microservices, reviewing code, monitoring service performance, improving reliability and security, participating in Agile development, and mentoring teammates. The role requires proficiency in a modern object-oriented language, database experience, cloud knowledge, and familiarity with scalable architecture patterns.

Design and develop backend features for Affirm’s underwriting platform, supporting merchants and consumers across Affirm Card, e-commerce, and app interfaces. Collaborate with product, design, analytics, and credit risk teams; implement reliable distributed systems; monitor metrics and availability; participate in on-call support, code reviews, debugging, interviewing, and engineering growth activities.

Principal Full Stack Software Engineer responsible for guiding technical direction, designing large-scale SaaS features, and building secure, reliable distributed systems. The role involves collaborating across product, design, and engineering; evaluating technical trade-offs; debugging team inefficiencies; contributing to code reviews and complex fixes; mentoring engineers; and improving engineering practices around testing, performance, security, privacy, and service operations.

Provides technical leadership on complex, high-impact engineering projects from design through launch. The role involves architecture, company-wide initiatives, engineering excellence, mentoring technical leaders, and establishing standards for scalable, reliable, secure, observable systems. The engineer will collaborate across teams, communicate complex technical topics, and apply customer-focused decision-making and A/B testing techniques.

Participate in a 15-week full-time software engineering internship in Vancouver, Burnaby, or Richmond. Build and ship product features, contribute code to Atlassian products, apply data structures and algorithms, and learn full-lifecycle development through mentorship and collaboration with senior engineers. Work may involve cloud initiatives and AI-driven features.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

Develop and ship web, mobile, and API features for Affirm’s card acquisition experience. Break projects into deliverable phases, collaborate with product, design, and analytics, write tested and extensible code, support production availability through metrics and on-call activities, review code, and contribute to interviewing and team development.

Contribute to fullstack search engineering projects, developing and launching scalable backend systems and user-facing solutions. Collaborate with teammates and stakeholders, balance speed and quality, protect system reliability, navigate large codebases, debug code, participate in reviews, and communicate effectively. The role supports growth through feedback and development activities.

Lead technical strategy, architecture, and development for Remitly’s Customer Success Technology platform. Build scalable frontend and backend systems, agentic AI applications, intuitive user experiences, and automation workflows. Collaborate with product, design, and engineering teams; lead complex feature delivery; troubleshoot reliability issues; and uphold engineering standards across codebases and processes.

Designs and builds secure, scalable systems protecting products, infrastructure, and customer data. Responsibilities include authentication and OAuth integrations, authorization platforms, BYOK capabilities, security tooling, cloud security controls, threat modeling, vulnerability remediation, and security testing. The role partners with engineering and product teams, establishes secure development practices, leads complex security projects, and mentors engineers.