Top Linux Jobs in Vancouver

Lead the design, development, scaling, and optimization of highly available AWS cloud infrastructure and Kubernetes environments. Build Infrastructure as Code, CI/CD pipelines, monitoring, automation, and operational tooling using technologies including Terraform, Jenkins, Prometheus, Go, Python, and Bash. Provide technical leadership, mentor engineers, troubleshoot production infrastructure and networking issues, improve system reliability and performance, and participate in an on-call rotation.

Operate and scale high-throughput NGINX and Kubernetes ingress infrastructure supporting Ruby on Rails and Go API services. Partner with product engineering teams on resilient architectures, SLIs, SLOs, error budgets, systems design, and capacity planning. Participate in PagerDuty on-call rotations, lead incident response and blameless retrospectives, improve runbooks, and automate production operations for reliability and availability.

Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.

Lead corporate endpoint security architecture with a focus on macOS, designing secure-by-default controls, automation, patching, software distribution, and security baselines across macOS, iOS, Windows, and Linux. Manage configurations through Terraform, GitOps, version control, CI pipelines, and automated rollouts. Partner with IT and security teams to improve telemetry, detection, response, auditability, and operational efficiency. Mentor engineers and serve as a senior escalation point for complex endpoint security issues in a fully remote environment.

Diagnose, repair, configure, calibrate, and validate self-driving systems installed on autonomous vehicles and robotaxi fleets. Investigate sensor, compute, software, connectivity, wiring, and hardware issues; perform updates and technical readiness checks; document findings; and escalate complex problems to engineering. The role collaborates with technicians, safety operators, fleet teams, and operations leads to reduce downtime and ensure vehicles are safe and ready for testing or commercial autonomous operations.

Ensures the stability, security, and efficient operation of cloud and on-premises infrastructure. Responsibilities include designing and deploying systems, managing Azure, AWS, and GCP environments, integrating servers and enterprise services, maintaining identity and networking platforms, conducting audits and disaster recovery procedures, monitoring performance, troubleshooting issues, coordinating vendors, documenting configurations, and supporting end users. The role also contributes to systems planning, governance, testing, optimization, and cloud-hybrid infrastructure strategy.

Leads pipeline and workflow development for complex VFX and feature animation shows. Acts as the bridge between production, artists, supervisors, and technology teams; oversees show tech stacks, pipeline operations, tool architecture, code reviews, scalability, and reliability. Manages and mentors ATDs and Pipeline TDs, assigns development tasks, evaluates artist requests, coordinates technical solutions, and facilitates handoffs of tools and pipeline improvements to product or operations teams.

Own Jenkins-based RTL quality and release-promotion pipelines across lint, CDC, RDC, synthesis, and STA. Build QoR tracking, automated quality gates, waiver management, and evidence generation. Develop LLM-driven tooling to triage violations, create annotated pull requests, check spec-to-RTL consistency, and generate documentation. The role requires strong Python, hardware-flow knowledge, CI/CD expertise, and practical LLM integration experience. It is fully onsite Monday through Friday in the Bay Area, Vancouver, or Toronto.

Provide advanced technical support for GitLab’s largest customers, troubleshooting complex Linux, GitLab, CI/CD, infrastructure, and integration issues. Build customer relationships, resolve critical incidents, collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams, create reusable support documentation, share knowledge, and participate in hiring. The role requires strong Linux systems expertise, scripting ability, debugging skills, and familiarity with Kubernetes and serverless technologies.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

Lead reliability and infrastructure projects across teams, architect highly available AWS and GCP environments, and build infrastructure-as-code, CI/CD, observability, automation, and security solutions. Manage incidents, champion SLOs and error budgets, improve system performance, optimize capacity and costs, and mentor engineers. The role also involves developing runbooks, reducing operational toil, supporting disaster recovery, and applying AI-assisted development to production engineering workflows.

Leads the design, automation, deployment, and operation of a secure medical imaging pipeline for CT data across Canadian research sites. Responsibilities include Python and DICOM development, PACS integration, de-identification, XNAT administration, Linux server and GPU environment management, privacy compliance, ethics submissions, stakeholder coordination, technical reporting, procurement, and milestone delivery. The role independently manages complex multi-institutional implementation and may supervise junior staff.

Lead end-to-end software architecture for a high-reliability 64-bit RISC-V multiprocessor SoC. Define standards, requirements traceability, security and performance benchmarks, design governance, verification evidence, and lifecycle processes. Mentor engineering teams, lead technical reviews, and represent architecture in customer discussions. The role requires expertise in embedded systems, RTOS, multiprocessor architectures, low-level programming, and avionics or automotive development.

The Director of Corporate Development owns CloudLinux’s inorganic growth strategy, including acquisition sourcing, screening, valuation, due diligence, deal structuring, budgeting, negotiation support, and post-close integration. The role also evaluates alliances, joint ventures, and commercial partnerships; supports long-term strategy and debt or equity financing; and builds the corporate development function, playbooks, models, and pipeline infrastructure.

Performs hardware/software co-development and system-level co-verification of SoC devices using Cadence Palladium emulators and Protium FPGA platforms. Supports architectural exploration, pre- and post-silicon validation, functional verification, performance testing, power analysis, and investigations. Collaborates with architects, hardware designers, firmware engineers, and verification teams while developing automation, debugging RTL and embedded firmware, and troubleshooting server hardware and networking infrastructure.

Detect, contain, and remediate security incidents across Windows, macOS, and Linux. Perform malware and forensic analysis, develop detection and remediation processes, produce customer-facing reports and recommendations, and contribute to public thought leadership. Use scripting/programming and AI tools to enhance investigations and response.

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.

Leads the architecture, development, deployment, and optimization of MRI research software, including full-stack web portals, backend services, SQL databases, and data pipelines. Manages requirements, technical decisions, release workflows, QA, CI/CD standards, documentation, infrastructure integrations, and performance tuning. Supervises and mentors technical contributors, coordinates stakeholders and vendors, manages IT support budgets, supports compliance and audit readiness, and contributes technical content to grants and institutional reporting.

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.

Provides Level 2–3 technical product support for Thales security and database products. Troubleshoots complex customer issues across application, database, network, and infrastructure layers; interprets logs and packet captures; recommends workarounds; supports integrations, patches, and hotfixes; reproduces defects; documents issues; and coordinates with engineering, product teams, vendors, and global support teams.

Diagnoses, repairs, configures, calibrates, and validates self-driving systems installed in autonomous vehicles. The role troubleshoots sensors, compute hardware, software, connectivity, and vehicle networks; performs updates and calibration; documents findings; and collaborates with engineering, operations, and technician teams to return vehicles safely to testing or robotaxi service.

Design and develop high-performance dataplane software for the TeraWave satellite communications network. Responsibilities include C/C++ packet processing with DPDK and VPP, line-rate optimization at 100G/400G, routing and tunneling integration, hardware accelerator interfaces, distributed dataplane architecture, benchmarking, code reviews, technical leadership, and cross-functional collaboration.

Design, develop, deploy, and optimize generative AI applications using LLMs and AI frameworks. Build scalable APIs, integrate foundation models and third-party platforms, automate business workflows, and connect AI solutions to internal systems and data sources. Monitor model quality, improve prompts and configurations, support responsible AI governance and security, evaluate emerging technologies, and collaborate with product, engineering, and business teams.

Manage and optimize infrastructure supporting AI and machine learning systems, including cloud environments, GPU/CPU clusters, model deployment, data pipelines, security, monitoring, troubleshooting, automation, and CI/CD. The role develops scripts, maintains documentation, supports AI teams, and improves system reliability and scalability. Candidates need a relevant bachelor's degree, at least two years of systems administration or infrastructure experience, cloud and containerization expertise, scripting skills, and familiarity with machine learning frameworks and deployment pipelines.

Oversee and optimize infrastructure supporting AI and machine learning platforms, including servers, cloud environments, compute resources, GPU/CPU allocation, security controls, monitoring, and incident response. Design scalable AI environments, automate operational processes, troubleshoot system issues, and support model deployment and training workloads. Mentor junior administrators, evaluate emerging technologies, and recommend improvements to AI platform architecture, reliability, security, and scalability.