Top Linux Jobs in Vancouver

This role involves developing high performance, low latency Java solutions for the Fraud Management Platform, collaborating with a team in an Agile environment, and troubleshooting operational issues.

Design, operate, and improve on-premises MLOps infrastructure to productionize, deploy, monitor, and optimize ML models. Troubleshoot across the stack (Linux, Docker, Kubernetes), refine CI/CD workflows, integrate training/validation testing, and collaborate with data scientists and engineers to ensure reliability and performance at scale.

Perform real-time incident detection and response across Windows, Mac, and Linux; conduct malware and forensic analysis; develop detection and remediation processes; produce clear communications and thought leadership; mentor teams and interact with customers.

Support security operations through incident, vulnerability, and threat management; maintain security posture (IAM, key management, scans, hardening); automate tasks in the SIEM; respond to incidents; document risks and controls; participate in audits and on-call rotation; evaluate and improve security tools and processes.

Lead incident response engagements, perform forensics and malware analysis, develop methods to detect threats, and communicate findings to stakeholders.

Lead the Platform Firmware team at Samsara, driving hardware program execution, managing firmware engineers, and collaborating with various stakeholders for high-quality hardware delivery.

As a Sr. Technical Account Manager, you provide proactive support to Premium Support customers, ensuring their success with CrowdStrike's platforms and engaging at all organizational levels. Responsibilities include onboarding, conducting health checks, advocating customer needs internally, managing escalations, and identifying account expansion opportunities.

Design, create, and maintain internal technical training modules and hands-on workshops for Technical Services. Identify training needs, build curriculum and policies, engage subject-matter experts, measure training effectiveness with KPIs, and improve content tooling and delivery across a globally distributed team.

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 development of low-latency, high-performance Java solutions for Mastercard's Fraud Platform. Design and implement features, define QA strategy, build automation, run unit/integration/performance tests, troubleshoot production issues, mentor peers, produce documentation, and manage medium-sized initiatives within an Agile team.

Supervise a team of data technicians to define and enforce data I/O best practices, train staff, test and iterate workflows, coordinate project storage and transfers, liaise with production and engineering, manage vendor onboarding, and support client-facing troubleshooting for dailies and data deliveries.

Design, build, and operate AWS cloud infrastructure using IaC (Terraform/OpenTofu), Git-based DevOps, and containerization. Manage Microsoft 365 and Entra ID identity/security, automate with scripting and AI tools, run backup/DR (Commvault), tune detection and incident response, and optimize cloud cost and capacity while partnering with stakeholders to improve resilience and productivity.

Lead and mentor SRE efforts to ensure scalable, reliable, and performant cloud SaaS infrastructure. Drive automation, observability, incident response, SLIs/SLOs, infrastructure projects, IaC, CI/CD, and reliability improvements across global teams.

The role requires designing, developing, and managing ETL processes using DataStage and QualityStage, with strong Linux and scripting skills.

The Principal Graphics Engineer will lead the development of graphics infrastructure, focusing on rendering, runtime layers, and optimizing performance in a low-latency environment, while collaborating across teams and utilizing AI tools.

Support recruitment, screening, consenting, and testing of Parkinson's research participants. Collect multimodal data (EEG, fMRI, stimulation, wearables), maintain documentation, assist with ethics submissions, data tracking, literature reviews, and prepare manuscripts and presentations.

Lead AppSec efforts across product, platform, and AI features by owning secure SDLC, performing threat modeling and deep code reviews, driving vulnerability management and remediation, building AppSec tooling and automations (including AI-assisted workflows), and enabling engineering teams with secure design guidance and training.

The Junior IT Systems Administrator supports daily IT operations, system maintenance, troubleshooting, and cybersecurity management to ensure efficient technology use.

Lead the design and development of software for Linux-based embedded platforms, specializing in kernel-space programming, device drivers, and Wi-Fi/BLE stacks.

Design and maintain full stack applications, manage software development lifecycle, ensure application performance and security, and collaborate in an Agile environment.

The Java Engineer will develop, integrate, and maintain web applications and microservices, while working with Java and various frameworks, responding to customer issues, and refactoring code.

As a Senior/Lead Software Engineer, you'll develop software for Layer1 physical connectivity, manage feature design, and mentor junior engineers while ensuring quality and collaborating across teams.

Join an agile team to develop and maintain automated testing systems, design and execute test plans, perform feature and regression testing, debug issues, support lab setup, maintain test repositories, and collaborate with developers to ensure high-quality software delivery.

The candidate will lead embedded firmware development projects, mentor juniors, perform root cause analysis, and improve product functionality and reliability.

Design, build, and maintain platform software in Python and C++ to automate deployment, provisioning, upgrades, and backups for distributed robotic systems. Integrate cameras, NVIDIA GPUs, robot controllers, and network devices in Dockerized environments. Configure Ubuntu systems (autoinstall, cloud-init, image management), implement CI/CD and automation frameworks, develop health checks and upgrade workflows, and collaborate with robotics, vision, and infrastructure teams to ensure scalable, reliable factory deployments.