Top Linux Jobs in Vancouver

Build and scale software infrastructure for GPU asset provisioning, data center management, monitoring, lifecycle automation, and distributed system testing. Develop reliable platforms across hardware, networking, cloud providers, and AI training applications. Work with GPU diagnostics, cluster and network telemetry, Kubernetes or SLURM, fault tolerance, state management, and system architecture to support large-scale machine learning infrastructure.

Designs, builds, maintains, and deploys large-scale HPC and AI hybrid computing solutions for NVIDIA partners and customers. Guides adoption of end-to-end Agentic AI solutions using NVIDIA compute, networking, and software stacks. Provides technical leadership through demonstrations, proofs of concept, documentation, and debugging while collaborating with executives and engineering teams. Requires expertise in cluster management, containers, Kubernetes, Slurm, Ansible, networking, storage, and cloud-based infrastructure.

Lead a globally distributed endpoint security engineering team developing visibility, prevention, and machine learning capabilities across Windows, macOS, and Linux. Own the technical roadmap, delivery, cross-platform protection parity, and machine learning direction. Mentor senior engineers, manage hiring and career development, collaborate with product and engineering teams, maintain platform vendor relationships, and represent the team through customer engagement, conference presentations, and technical research.

Administer and automate HPC clusters and enterprise Linux infrastructure supporting EDA and scientific computing. Develop production Ansible playbooks, provision bare-metal systems, manage enterprise storage and identity platforms, execute infrastructure migrations, create custom OS images, provision VMware environments, and produce technical documentation while coordinating across teams.

Lead cloud migration and platform engineering efforts, designing AWS architectures and migration plans from on-prem VMware to AWS. Perform migration assessments, tooling selection, wave planning, dependency analysis, security/compliance alignment, OS and database troubleshooting, and optimize post-migration performance while collaborating with stakeholders and platform teams.

Leads and performs development, configuration, testing, release support, and production support for NICE Actimize AML platforms. Responsibilities include scenario and rule tuning, alert and case workflow management, troubleshooting in Linux and Oracle environments, migration support, SDLC compliance, stakeholder coordination, and team leadership. The role requires strong AML transaction-monitoring expertise, hands-on Actimize experience, and knowledge of banking systems, databases, scripting, and regulatory controls.

Owns the GitHub-based build and release environment, including CI/CD pipelines, runners, testing, packaging, and artifact publishing. Improves build speed, reliability, security, and release repeatability while managing cloud compute resources. Troubleshoots complex build, test, and infrastructure failures, monitors system health, and documents architecture and procedures. Collaborates with engineers to improve tooling and communicates build status, incidents, and changes clearly.

Develop embedded software, SDKs, application examples, proof-of-concept solutions, and host-side tools for ADI ASIC products. Participate in software design, testing, documentation, IDE integration, and full lifecycle development across Windows and Linux environments. Support debugging, board bring-up, device-driver integration, and customer adoption through maintainable code, test procedures, application notes, and user guides.

Develops and maintains production testing processes and infrastructure for computational storage and video-processing products. Responsibilities include prototype and RMA testing, failure analysis, mass-production requirements, contract manufacturer coordination, quality assurance, yield improvement, and transitioning products from design to production. The role also involves lab testing, PCB debugging, soldering, assembly, and supporting manufacturing across multiple factories.

Provides technical support for Axon Fusus customers through phone, email, and chat. Troubleshoots hardware, software, networking, video management, camera, DVR, and NVR issues; documents resolutions in CRM; follows escalation procedures; supports geospatial customer setup; and participates in technical training and certifications.

Design, build, and maintain platform tooling for Kubernetes and Google Cloud environments. Support developers with service deployment, self-service workflows, CI/CD, observability, reliability, and production troubleshooting. Maintain infrastructure, participate in on-call rotations, and improve developer efficiency across the software development lifecycle. The role also contributes to infrastructure as code, cloud-native microservices, security tooling, GitOps, service resilience, and continuous delivery practices.

Build and own core infrastructure for Motion’s AI agent runtime, including its virtual machine, internal services, integrations, and platform primitives. Develop end-to-end features using TypeScript, Node.js, Rust, and related technologies while ensuring systems are fast, reliable, secure, and scalable. Collaborate on a small, high-ownership team, make architectural decisions, translate technical issues into business impact, and use AI-assisted coding while maintaining strong engineering standards.

Lead Irth’s cybersecurity program across vulnerability management, incident response, cloud and identity security, compliance, and customer trust. Prioritize and drive remediation of security findings, manage AWS and Azure security controls, oversee IAM and access reviews, maintain NIST- and ISO-aligned policies, and support SOC 2 audits. Lead incident communications, tabletop exercises, penetration testing, customer security reviews, and regulatory responses while partnering with engineering, infrastructure, IT, GRC, executives, and customers.

Provides advanced enterprise infrastructure support and modernization, resolving complex server, network, and systems issues. Responsibilities include designing upgrades and migrations, optimizing reliability and performance, leading infrastructure projects and incident response, developing automation scripts, mentoring team members, and collaborating with architecture and security teams. The role also participates in on-call rotations and supports compliance, documentation, and continuous service improvement.

Develop and maintain Python-based tools, APIs, and user interfaces for digital matte painting, lighting, rendering, and compositing pipelines. Integrate assets and caches from Maya and Houdini into lighting and Nuke compositing workflows, optimize scenes and render performance, troubleshoot technical issues, and support artists. The role also requires documentation, pipeline best practices, and expertise with production renderers, color science, camera projections, and data packaging.

Lead embedded firmware development across requirements, design, implementation, documentation, deployment, validation, and support. Mentor junior developers, improve reliability and testing, perform root-cause analysis, and maintain C-based firmware for audio and video communication products. The role requires Linux development, Bash, source control, and embedded software experience, with preferred expertise in networking protocols, Wireshark, TI ARM processors, VoIP, security protocols, and audio/video codecs.

Lead the evolution of the Password Safe platform and infrastructure across cloud and on-premises environments. Design highly available systems, optimize platform services, standardize CI/CD and infrastructure-as-code practices, and establish GitOps workflows. Build observability, SLOs, chaos engineering, and disaster recovery capabilities. Serve as a technical leader by defining SRE strategy, mentoring engineers, conducting design and incident reviews, and influencing the engineering roadmap.

Designs and maintains security controls for blockchain, digital assets, applications, cloud infrastructure, and cryptographic systems. Responsibilities include threat modeling, architecture reviews, key management, application and API security, Kubernetes and cloud hardening, vulnerability management, security monitoring, incident response, risk assessments, penetration testing, and regulatory support. The role collaborates with Cybersecurity, Engineering, DevOps, and Infrastructure teams to implement secure development practices and protect digital asset environments.

Deploy and operate Neural Concept’s AI platform in enterprise customer environments, from architecture through go-live and steady-state support. Integrate identity, data, engineering systems, infrastructure, and model-serving layers across cloud, on-premises, air-gapped, GPU, and HPC environments. Partner with customer IT and security teams, troubleshoot cross-system issues, create runbooks and post-mortems, and feed deployment insights into Product. The role requires customer-facing communication, production deployment ownership, and travel to U.S. customer sites.

Leads test framework architecture and continuous execution pipelines for cloud platform features. Defines quality engineering standards, advances automation roadmaps, tests highly available Kubernetes and containerized services, and improves continuous delivery stability and release confidence. The role also mentors junior engineers and partners with developers, product stakeholders, and engineering leadership.

Develop and maintain automated tests, testing frameworks, and CI/CD pipelines for cloud-native Kubernetes platforms. Validate scalable architectures, troubleshoot automated test failures, collaborate with engineering teams in Agile environments, and help establish testing best practices. The role requires Python and Pytest automation experience, Kubernetes and cloud-native production service testing, Linux and networking knowledge, security principles, and two years of relevant experience.

Runs and modernizes AWS cloud infrastructure, Linux systems, containers, databases, monitoring, and deployment pipelines supporting live games. Builds AI-assisted operational workflows, automates infrastructure and IT processes, maintains security and access controls, optimizes cloud costs, troubleshoots incidents, and participates in on-call support. The role also supports remote-team IT, documentation, patching, backups, migrations, and reliability improvements.

Lead the migration of analytics workloads from SAS to Python while remaining hands-on with coding. Provide technical leadership, establish coding standards, conduct code reviews, migrate workloads, write and debug Python and SQL, create unit tests, and schedule jobs on Linux/Unix using CRON. Work with Git/GitHub, SAS Enterprise Guide, and JupyterHub, and own delivery from design through completion.

Migrate SAS analytics workloads to Python, write and test SQL and Python code, create unit tests, debug applications, schedule Linux/Unix jobs with CRON, and manage code through Git/GitHub. Use SAS Enterprise Guide and JupyterHub while supporting a BMO US Analytics contract.

Lead architecture and long-term technical direction for Docker Hardened Images (DHI). Define platform standards for image and Helm chart hardening, supply-chain posture (SBOM, SLSA, signing), and distribution. Drive cross-functional roadmaps, resolve ambiguous packaging/security problems, influence upstream OSS, mentor senior engineers, shape test and tooling strategy, and participate in on-call incident response.