Top Software Engineer Jobs in Vancouver

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Owns VM and fleet test strategy, hypervisor validation, performance quality gates, and systems-level testing for an IaaS platform. Designs reproducible bare-metal-like environments, develops automated benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses in Go, Python, and Perl. The role requires deep expertise in KVM/QEMU/libvirt, Linux internals, x86 and ARM architectures, performance analysis, statistical testing, and CI/CD tooling.

Build and lead the technical strategy for CircleCI Server, an on-premises CI/CD platform. Develop Kubernetes infrastructure, Helm-based deployment, release automation, testing tools, observability, and diagnostics using OpenTelemetry. Improve installation, upgrades, reliability, and operations across customer environments, including air-gapped deployments. Partner with Product, Engineering, Support, Customer Engineering, and customers while mentoring engineers and making architecture decisions across systems and teams.

Build and operate CircleCI’s data query platform, including ClickHouse storage, event-driven ingestion, Temporal workflows, APIs, indexing, caching, and tiered storage. Design schemas, optimize high-volume queries, improve reliability and observability, and lead architectural decisions. The role requires strong backend engineering, distributed systems expertise, AI-native practices, and technical leadership across production data systems.

Build and operate infrastructure security platforms centered on workload identity, service-to-service authentication, authorization, and short-lived credentials. Replace static secrets with identity-based systems, develop identity-authenticated proxies and APIs, and unify authorization policy management. Partner with platform and application teams to drive adoption, migrate legacy systems, and ensure reliable production infrastructure with strong developer experience.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Build and maintain customer-facing backend services, APIs, and web integrations across the full stack. Design RESTful APIs and data models, ship features end-to-end, own production reliability, participate in incident response, and collaborate with product, SRE, and field engineering to deliver robust, observable services.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

Leads architecture and technical direction for secure, scalable AI and ML platform services. Designs AWS Serverless systems, evaluates LLM technologies, and brings research prototypes into production. Builds search, semantic retrieval, vector search, and RAG capabilities using OpenSearch and related technologies. Partners with researchers, product teams, and senior engineers, mentors technical staff, guides architecture discussions, and translates AI strategy into execution roadmaps.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

Develop performant, standards-compliant Firefox layout and rendering code focused on Asynchronous Pan and Zoom. Responsibilities include designing algorithms and interaction techniques, debugging and optimizing multithreaded code, reviewing contributions, testing bugs, and collaborating on long-term platform development across Android, Windows, Linux, and macOS.

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.

Develop and manage mission-critical infrastructure services for cloud development and testing. Build Python backend services, APIs, automation, virtual machine environments, reservation systems, reporting tools, and resilient test frameworks. Improve reliability, scalability, deployment performance, and observability across physical and virtual infrastructure. Provide technical leadership and mentorship while collaborating with global Development and SRE teams.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Build and operate production-grade AI agents that automate workflows across internal teams. Design agent architectures with LangGraph and Amazon Bedrock AgentCore, integrate internal systems and third-party tools, and develop evaluation, observability, and guardrail frameworks. Partner with nontechnical teams to identify workflows, own solutions from prototype through production, measure impact, and drive adoption through documentation and training.

Develop and maintain Linux kernel features for Arista EOS, integrate upstream kernel releases, and qualify CPU and NIC hardware. Build automated tests, troubleshoot customer and system-test issues, contribute patches to the upstream Linux community, and own projects from definition through deployment. The role also provides technical leadership, cross-functional collaboration, and mentorship to junior engineers.

Develop and deliver software for Arista’s Linux-based EOS network operating system. Responsibilities include designing and implementing C, C++, and Python features; writing specifications, test plans, and automated tests; debugging routing and packet-forwarding issues; supporting customer network troubleshooting; collaborating on larger distributed systems and routing projects; reviewing code; mentoring engineers; and managing project schedules.

Designs, develops, integrates, and maintains low-level CPU firmware, BIOS, and boot-loader software for networking products. Responsibilities include CPU board bring-up, hardware and vendor collaboration, Linux kernel evaluation, automated testing, debugging, open-source contributions, customer issue resolution, technical leadership, and mentoring.

Develop and lead Layer 1 networking software controlling physical-layer components, optics, transceivers, PHYs, and gearboxes. Design, implement, test, debug, and optimize features using C, C++, and Python. Collaborate with customers, product managers, hardware, manufacturing, and test teams to bring new components to market and resolve network issues. Provide technical leadership, own projects through deployment, build telemetry and test infrastructure, and mentor junior engineers.

Develop and optimize PCIe software for networking hardware, including link bring-up, parameter tuning, Linux PCI drivers, virtual memory allocation, error handling, performance measurement, and userspace mediation between ASICs, FPGAs, and PCIe bridges. Build automated validation tests in C, C++, and Python while diagnosing low-level firmware and hardware issues.

Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.

Build and scale secure backend microservices for payments, disbursements, and governance, risk, and compliance workflows. Design high-performance distributed systems on Google Cloud, support millions of daily requests, and implement financial, onboarding, KYC, and compliance capabilities. Collaborate with product, operations, and compliance teams, mentor junior engineers, and continuously improve platform functionality through analytics and user feedback.

Build and scale secure backend microservices for payments, disbursements, or GRC workflows. Design distributed systems and Google Cloud infrastructure capable of handling millions of daily requests, integrate compliance and KYC capabilities, collaborate cross-functionally, mentor junior engineers, and continuously improve platform performance and reliability.