Top Software Engineer Jobs in Vancouver

Develop Java application logic for Mastercard’s real-time Decision Management platform. Build unit, integration, and functional tests; create scalable, secure, maintainable code; participate in Scrum ceremonies; diagnose complex problems; support sprint commitments; collaborate with stakeholders; and mentor junior engineers. The role involves high-performance applications, streaming analytics, fraud prevention, APIs, and data technologies.

Build and launch scalable back-end APIs and web applications for AI-powered customer contact channels. Break projects into phases, collaborate with product, design, and analytics teams, monitor service metrics, support availability and on-call operations, debug code, conduct reviews, and contribute to team development. The role requires ownership, clear communication, and experience with React or Vue plus Python or Kotlin.

Build, launch, and maintain reliable backend systems using Python or Kotlin. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor service health, support on-call operations, debug code, conduct code reviews, and contribute to team development. The role requires designing distributed systems, working across large codebases, writing tested and extensible code, and communicating effectively with global engineering stakeholders.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.

Build and improve high-traffic consumer web experiences using React and TypeScript. Develop experimentation, instrumentation, marketing integrations, attribution, and measurement systems while meeting privacy requirements. Collaborate with Product, Design, Marketing, Analytics, and Data Engineering, write tested and extensible code, monitor system metrics, support availability and on-call efforts, participate in code reviews, and contribute to team development.

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 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 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.

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 and launch full-stack customer-facing features and backend services for Affirm Card. Collaborate with product, design, analytics, and engineering teams; design scalable APIs, support distributed systems, monitor service reliability, participate in on-call operations, review code, and contribute to technical planning and team development.

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.

Lead development of Zscaler’s Client Connector Cloud service, improving reliability, availability, scalability, and architecture. Make product architecture decisions, collaborate with architects on roadmaps, lead engineering initiatives, and deliver secure, highly scalable cloud-based services. The role requires extensive Java application development experience, enterprise security or networking product expertise, and strong knowledge of distributed systems, APIs, Kubernetes, microservices, databases, and cloud platforms.

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 maintain AI-powered Excel agent features across client and service components. Responsibilities include implementing agentic workflows, contributing to technical designs, developing comprehensive tests, monitoring performance, supporting safe deployments, troubleshooting production issues, and participating in on-call rotations. The role involves collaboration with product, design, applied science, security, and privacy teams while ensuring reliability, security, privacy, accessibility, and responsible AI compliance.

Build and operate full-stack product capabilities across React, TypeScript, APIs, backend services, AWS, and Kubernetes. Use AI coding agents to implement, review, test, and integrate software. Develop data-rich interfaces, integrate databases and third-party APIs, maintain automated testing and CI, monitor production systems, and contribute to architecture and technical design while collaborating with product, design, and ML engineering.

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.

Develops and tests networking features for Linux and Android Poly Video products. Responsibilities include implementing DHCP, NTP, DNS, proxy, IPv4/IPv6, VLAN, and secure-networking capabilities; writing unit tests; debugging protocol issues; participating in code reviews; documenting designs and configurations; and integrating software with hardware and firmware. The role requires C++, Java or Kotlin, Python, networking expertise, Linux or Android development, and collaboration with senior engineers and customers.

Lead end-to-end delivery of complex backend software projects for high-throughput distributed data-processing systems. Define technical vision, write designs, develop and test software, automate deployments, resolve production bottlenecks, conduct code reviews, improve maintainability, and participate in on-call support. The role also involves mentoring engineers, influencing technical strategy, and scaling streaming ingestion pipelines.

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.