Top Software Engineer Jobs in Vancouver

Build and maintain secure, scalable, event-driven serverless microservices using TypeScript and AWS. Design architectures, implement infrastructure as code, optimize CI/CD and developer productivity, and support continuous production deployments. Collaborate through Agile planning, pairing, documentation, and architectural discussions. Use AI tools responsibly for coding, debugging, testing, research, and reviews while evaluating privacy, security, fairness, cost, and accuracy. Develop Node.js/TypeScript REST APIs, work with SQL databases, and contribute to modern web interfaces using React or Angular.

Build and operate scalable full-stack features for Evisort’s AI-driven contract management platform. Collaborate with engineering, data science, product, and design teams to deliver user-centric SaaS solutions. Own functional areas from development through production, apply strong engineering and DevOps practices, contribute to roadmap and architecture decisions, mentor teammates, and translate complex problems into clear solutions in an agile environment.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Build and operate full-stack features powering AI agents within HR and Finance workflows. Own user-facing experiences and backend services through production, collaborate with machine learning engineers and product teams, apply distributed systems and cloud engineering practices, and mentor teammates. The role requires Python web development, relational databases, SaaS experience, containerization, DevOps, testing, and observability expertise.

Build and maintain AI-driven workflows, agentic systems, automated operations tooling, cloud infrastructure, and CI/CD pipelines. Handle monitoring, incident triage, backend production issues, and field-operations support. Contribute across the full stack, communicate technical decisions to non-engineering stakeholders, and improve manual processes through automation. Required capabilities include cloud infrastructure, LLM and MCP development, Linux, CI/CD, full-stack engineering, and strong communication.

Design, build, test, document, and optimize Tailscale’s client-side networking software. Develop connectivity features for clients, subnet routers, exit nodes, and customer integrations using networking protocols and security-focused engineering. Diagnose complex network issues, support customer escalations, collaborate with product and engineering teams, contribute to open-source projects, and improve software scalability, reliability, performance, and maintainability across platforms.

Build and maintain front-end features for an AI-driven contract management SaaS. Collaborate with engineers, data scientists, product, and design; own functional areas from development to production; mentor teammates; apply modern dev practices to deliver scalable, user-centric solutions.

Designs, develops, tests, deploys, and manages scalable backend integrations connecting LPR cameras, video management systems, vehicle intelligence platforms, and cloud services. Owns end-to-end architecture, optimizes high-throughput and low-latency systems, manages large datasets, mentors engineers, leads architectural reviews, and collaborates across camera, AI, and platform teams. The role also addresses technical debt and supports hybrid edge-cloud solutions using containerized environments.

Own end-to-end frontend development for high-stakes trading experiences, including order entry, execution, options, real-time market data, and portfolios. Design reliable, performant client-facing systems, partner with Product and Design, make architectural decisions, use AI-assisted workflows, and mentor engineers through reviews, documentation, pairing, and technical leadership.

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Develop and improve Outschool’s full-stack products using an AI-native development approach. Responsibilities include leading engineering initiatives, collaborating with Product, Design, Data, and Engineering teams, making technical tradeoffs, contributing to AI development practices, participating in agile ceremonies, deployments, and on-call rotations. Senior-level engineers may mentor teammates and influence technical direction.

Design and operate large-scale data and ML platforms supporting audience data, feature stores, training pipelines, model serving, monitoring, and LLM-powered workflows. Own end-to-end data pipelines, reliability, SLAs, observability, and business impact. Apply distributed systems principles, production ML practices, and agentic technologies while collaborating across product and engineering teams in a fully remote environment.

Lead end-to-end technical direction for Grafana’s Session Replay product across frontend, backend, and data systems. Design scalable columnar storage, ingestion pipelines, data models, and query patterns for high-volume session data. Build cross-product investigation workflows connecting replay with observability data, guide architecture, collaborate with customers and internal teams, improve engineering practices, and mentor engineers.

Build and operate a production-grade Microsoft Excel plugin integrating AlphaSense’s AI-driven market intelligence platform. Develop native-feeling Excel experiences, manage complex asynchronous and event-driven integrations, optimize performance and memory usage, and ensure stability across Windows and Mac. Establish engineering best practices for testing, deployment, monitoring, and enterprise updates while mentoring junior engineers. The role directly supports financial analysts and researchers at leading institutions.

Develop and deploy robotics software for autonomous mushroom-harvesting machines. Work across perception, control, manipulation, path planning, sensor fusion, diagnostics, simulation, testing, fleet management, and customer-facing data interfaces. Collaborate with hardware, data, agricultural, and customer teams while debugging and operating robots in laboratories, farms, and field deployments.

Provides staff-level technical leadership for authentication, authorization, account lifecycle, and partner relationship systems. Designs APIs, data models, distributed services, migration strategies, and event-driven architectures. Leads cross-team initiatives, improves testing, observability, deployment safety, and reliability, and mentors engineers. The role requires strong backend and distributed-systems expertise, security-sensitive problem solving, AI-assisted engineering fluency, and experience with production operations.

Design and build high-correctness Rust services on critical platform paths, introduce Rust for safety and performance, own systems end-to-end from architecture to operations, reason about concurrency and async, improve reliability and observability, collaborate across polyglot stacks, and mentor engineers.

Develop and maintain test cases, test plans, and automated testing suites for digital forensic software. Collaborate with engineering and DevOps to improve testability, validate software quality, track defects, debug complex systems, and implement CI/CD pipeline testing using Python, PyTest, APIs, Docker, Linux, and related tools.

Build and operate Python-based, multi-agent AI backend systems for go-to-market workflows. Design model-agnostic LLM architectures, tool-use patterns, integrations, observability, evaluation infrastructure, and production services deployed on Kubernetes. Own systems end-to-end, including architecture, deployment, reliability, experimentation, debugging, and incident resolution across CRM, enrichment, outreach, and communication platforms.

Design, build, and operate CIAM backend services for registration, authentication, authorization, and account lifecycle. Implement OAuth/OIDC/SAML/SCIM, develop APIs in Python/Kotlin, integrate identity platforms, automate deployments with IaC and CI/CD, and ensure secure, reliable, high-scale identity operations.

Build and evolve Nova, a distributed OLAP query engine powering Amplitude’s analytics platform. Responsibilities include query planning and execution, columnar storage, caching, distributed compute, JVM performance optimization, cloud cost reduction, observability, reliability, capacity planning, incident response, and operational tooling. The role leads multi-month technical projects, influences architecture, collaborates cross-functionally, and mentors engineers while supporting high-throughput automated query workloads at scale.

Design, build, and operate scalable cloud-native platform services for phone numbers and KYC compliance. Own end-to-end feature delivery, technical specifications, APIs, microservices, tooling, reliability, security, and incident remediation. Use AI-assisted development to accelerate coding and testing, collaborate with product and engineering stakeholders, mentor junior engineers, and contribute to platform modernization, operational excellence, and regulatory solutions.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.

Build and own AlphaSense’s AI-powered Microsoft Excel plugin for financial professionals. Design performant desktop integrations with Excel’s object model, calculation engine, and event system; connect local workflows to cloud AI through REST and WebSocket APIs; support enterprise deployment, authentication, offline scenarios, and multiple Excel versions. Optimize memory, performance, error recovery, and stability while establishing testing and deployment best practices and mentoring engineers.