Top Software Engineer Jobs in Vancouver

Support and improve CI/CD pipelines, release automation, and cloud infrastructure for SaaS microservices. Deploy and troubleshoot containerized workloads (Kubernetes/EKS), write automation scripts (Groovy/Python/Bash), use Terraform for infrastructure provisioning, integrate DevSecOps tooling, communicate release status and risks, and participate in on-call rotations to maintain build and release reliability.

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.

Architect and develop scalable backend microservices for payments, disbursements, or GRC workflows. Design secure, high-performance infrastructure and integrate Google Cloud services to support millions of daily requests. Build REST-based distributed systems, payment and compliance capabilities, KYC workflows, and financial operations. Collaborate cross-functionally with product, operations, and compliance teams, mentor junior engineers, and continuously improve platform functionality through analytics and user feedback.

Lead technical direction and implementation of a large-scale AI model serving platform. Design, build, and operate distributed systems (Ray/Ray Serve), ensure scalability, reliability, monitoring (Prometheus), CI pipeline robustness, and evolve the production model registry while collaborating with ML engineers and stakeholders.

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.

Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.

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.

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.

Plan and execute IVVQ (integration, verification, validation, qualification) activities for a data security product. Create test strategy/plans, design and maintain automated UI/API/integration tests, integrate tests into CI/CD, manage test resources, reduce flaky tests, support integration/fix cycles, and represent IVV in final system acceptance testing.

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.

Develop and optimize core gameplay and engine systems in Unreal Engine 5 using C++ and Blueprints. Build modular, data-driven systems across multiplayer, UI, and performance budgets. Collaborate with design, animation, and audio, mentor junior engineers, and improve tooling and workflows while staying current with UE5 subsystems.

Owns quality for integrations connecting an Accounts Payable platform with ERP and accounting systems. Responsibilities include manual, exploratory, regression, acceptance, integration, edge-case, data synchronization, and automated testing. The role creates test plans, maintains documentation and regression suites, contributes to TypeScript end-to-end automation, troubleshoots cross-layer issues, performs impact analysis, and partners with Product and Development teams on shift-left quality, pair testing, CI/CD, and test coverage.

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 the full software development lifecycle for internal and customer-facing observability systems. Design, build, deploy, support, and optimize scalable distributed systems and high-throughput data pipelines. Own reliability, performance, testing, documentation, and production readiness; participate in on-call support. Mentor engineers, lead design reviews, investigate incidents, and collaborate with stakeholders to develop effective tooling across the Temporal ecosystem.

Design, build, deploy, and support scalable distributed observability systems for internal developers and customers. Lead the software development lifecycle, develop and review designs, ensure testing and production readiness, investigate reliability and performance issues, participate in on-call support, and collaborate across teams to improve Temporal’s infrastructure and platform capabilities.

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.

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.