Top Ruby On Rails Jobs in Vancouver

Build Wealthsimple’s shared AI platform for engineering teams, including LLM-powered developer tooling, automated code review, deployment checks, governance controls, and policy guardrails. Drive adoption across Ruby, Python, TypeScript, and Java/Kotlin teams; measure platform impact; establish AI engineering standards; collaborate cross-functionally; and mentor developers.

Leads and develops a software engineering team while remaining hands-on with coding, code reviews, architecture, and technical solution design. Partners with Product and Design leaders to create roadmaps, solve complex problems, hire and retain engineers, provide career coaching, and improve development processes. The role requires strong people leadership, software development expertise, adaptable execution, and an interest in emerging technologies including AI.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

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.

The Principal Software Engineer drives organization-wide platform strategy, identifies and solves cross-team technical problems, and leads initiatives from research and prototyping through adoption. Responsibilities include architecture and trade-off decisions, high-quality coding, technical documentation, mentorship, and advancing AI-assisted engineering practices. The role will initially focus on mobile platform priorities such as offline support, Expo migration, testing infrastructure, and agentic development, while influencing engineering broadly.

Design and deliver backend software automating post-trade processing, including clearing, settlement, reconciliation, and depository integrations. Contribute to technical architecture, mentor developers through pairing and code reviews, and collaborate with Securities Operations, Product Management, and engineering teams. Build accurate, auditable systems for high-stakes financial workflows while expanding pipelines for new products.

Owner of end-to-end production problems: design, build, experiment, ship, and measure outcomes across backend, frontend, data pipelines and AI. Act as a technical leader, reviewer, incident mitigator, and cross-functional partner to product and design while advancing AI-driven tooling and safeguards.

Own and set direction for a large domain, design cross-team architecture, build production systems (often AI-enabled), partner with product/design/data, coach senior engineers, and remain hands-on in code and delivery.

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

Leads and coaches a software engineering team, supports career development, participates in hiring, removes delivery roadblocks, and shapes technical direction. The manager ensures reliable, high-performing systems while driving daily adoption of agentic AI tools and collaborating with Product and Business Technology stakeholders. The role requires a strong full-stack engineering background, architectural expertise, experience delivering quality software, and demonstrated success leading AI adoption.

Design, build, and modernize scalable backend systems on a mature Ruby on Rails platform. Own architecture, APIs, and data models; diagnose production issues with AWS and Datadog; lead design discussions, review code, mentor engineers, and drive platform-wide technical improvements.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.

Lead and mentor engineering teams to design, architect, and deliver scalable, maintainable software. Drive cross-team initiatives, partner with Product and Design, participate in code reviews, promote engineering best practices, and spend time on Staff Dev Projects to reduce technical debt and explore emerging technologies.

Provide technical support for Self-managed and GitLab.com customers via tickets and calls; troubleshoot Linux systems and GitLab installations; write bug reports, documentation, and fixes; collaborate with Product, Development, Infrastructure, and Customer Success; participate in on-call rotations and hiring processes.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

The role involves developing and optimizing advanced Shopify applications, enhancing store performance, and implementing custom features for eCommerce success.

Serves as a technical advisor for enterprise SaaS customers, leading integrations, identity management, APIs, data services, implementation projects, technical consultations, and complex escalations. Partners with Sales, Account Management, Product, Engineering, and Customer Success to deliver scalable solutions, support upsell opportunities, troubleshoot technical issues, improve documentation, and influence platform enhancements.

Design, scale, and performance-tune GraphQL APIs, gRPC services, and SQL queries for a promotions engine. Deliver end-to-end features, own complex technical problems, troubleshoot production performance, set up DataDog monitoring, participate in on-call rotations, and mentor teammates across the codebase.

Lead the Frontend Platform team owning shared frontend infrastructure, component system, and reporting. Contribute technically through code reviews and architecture, partner with product/design, set frontend quality standards, hire and coach engineers, and drive roadmap and technical design reviews.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

Designing and developing internal tools for Y Combinator, focusing on productivity software and event management for startup founders and teams.

The role involves building full-stack web applications, evaluating growth-stage companies, and contributing to investment decisions for Y Combinator.

The Product Engineer will develop critical software tools for founders, manage the YC program, and collaborate with a small team of engineers.

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.