Top Software Engineer Jobs in Vancouver

As a Software Engineer Intern, you will assist in developing features for a climate adaptation software, collaborating with teams and learning modern engineering practices.

Design, build, scale, and optimize backend services powering the sportsbook marketplace. Own GraphQL APIs, gRPC endpoints, SQL performance, monitoring, on-call and release duties. Identify production bottlenecks, drive scalability improvements, mentor engineers, review cross-team changes, and deliver end-to-end features in an agile environment.

Design and develop tools for verifying the correctness of smart contracts, extend verification algorithms, and collaborate with engineers on technical solutions.

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Develop and maintain a user-space runtime that enables production ECU firmware to run on workstations and cloud servers. Model peripherals, integrate RTOS-based firmware with host abstractions, maintain cross-compilation builds, and extend HIL Pytest validation suites. Debug firmware-host discrepancies using GDB and protocol analysis, collaborate across hardware and software teams, lead design reviews, improve code quality, and mentor engineers on real-time embedded development.

Design, build, deploy, and maintain scalable backend features and APIs for enterprise restaurant products. Lead complex projects, ensure quality with automated testing, monitor rollouts, collaborate with UX/PM, mentor engineers, and partner across teams to improve functionality and reliability for customers.

As a Senior Full Stack Software Engineer, you will build and improve products, create user interfaces and APIs, and collaborate with various teams to enhance the customer experience.

Develop and manage mission-critical infrastructure services for Akamai’s cloud lab platform. Build deployment stacks for test datacenters, design observability and monitoring solutions, improve deployment and configuration performance, and collaborate with engineering, architecture, and site reliability teams. The role requires strong Infrastructure as Code, Python, REST API, container orchestration, development-environment tooling, and relational database experience.

Design, develop, test, deploy, and operate scalable Java backend services, APIs, microservices, databases, and event-driven systems. Own projects across the software lifecycle, collaborate with product and infrastructure stakeholders, conduct code reviews, and build testing and observability. Troubleshoot production issues, participate in incident response, and improve system reliability, performance, scalability, and maintainability.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Build and operate AWS serverless platform services that productionize AI/LLM capabilities. Design, implement, deploy, and monitor secure, scalable services, collaborate with AI researchers, maintain CI/CD and observability, and use AI-assisted development tools responsibly.

Build and own technically complex, end-to-end full-stack features and platform capabilities for AI-driven IoT products. Define technical strategy, ship backend/frontend/mobile work, scale data ingestion and APIs, partner with product/design/customer teams, mentor engineers, and drive cross-team projects from ambiguous problems to measurable outcomes.

Lead technical strategy and execution for the shared mobile app infrastructure, build and maintain React Native and native modules, improve observability, CI/CD, releases and developer tooling, define standards and runbooks, mentor engineers, coordinate cross-functional trade-offs, and ensure production availability and quality across mobile products.

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

Lead architecture and hands-on development for a zero-to-one, real-time content platform. Build scalable backend services, collaborative editing and synchronization systems, frontend visual editing experiences, APIs, publishing workflows, and developer extension layers. Partner with product and design, establish engineering standards, make build-versus-buy decisions, mentor engineers, and engage customers to validate architectural choices.

Build and deploy internal AI tooling, agents, integrations, and workflows that improve productivity across engineering, research, and business teams. Evaluate emerging AI tools and models, develop observability and responsible-use guardrails, and partner with stakeholders to prototype and scale solutions. Drive adoption through documentation, enablement, and hands-on support while integrating AI into autonomy, simulation, ML training, and business workflows.

Build and deploy highly reliable endpoint security agents for Windows, macOS, and Linux. Lead technical execution, system design, architecture documentation, code quality, performance, and reliability initiatives. Mentor engineers and collaborate with Product, Security, and DevOps teams. The role requires strong systems programming, operating system internals, cybersecurity, threat detection, security data processing, and technical leadership experience.

Build and maintain automation systems for package creation, testing, and container image generation. Develop Go-based CLI tools, services, and integrations, along with AI- and LLM-powered pipelines for manifest generation, test scaffolding, and validation. Create quality tooling, evaluation loops, and security gates while contributing to system architecture and roadmap planning. Collaborate with distributed engineering teams across North America, Europe, and India.

Design, scale, and operate high-performance software systems powering sportsbook, casino, financial ledger, regulatory, and risk-management functions. Responsibilities include developing GraphQL APIs and gRPC services, optimizing databases and production performance, building integrations and migrations, monitoring services, mentoring engineers, and leading complex technical initiatives. The role requires strong distributed-systems, database, containerization, testing, asynchronous processing, and production operations experience.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Build and own enterprise platform components end to end, integrating with customer infrastructure and self-managed Kubernetes environments. Develop observability, improve reliability and availability, debug distributed systems, address security vulnerabilities, and deliver production software for enterprise users. Collaborate with product and technical leads, mentor engineers, and maintain hands-on ownership across design, implementation, deployment, and production operations.

Develop and operate SpiceDB and AuthZed’s open-source authorization ecosystem. Design, implement, test, deploy, and optimize distributed systems involving databases, cloud infrastructure, query planning, scalability, reliability, and performance. Participate in production operations and on-call rotations, troubleshoot complex issues, collaborate with users and contributors, mentor engineers, and contribute to technical documentation and industry discussions.