Top Linux Jobs in Vancouver

Own post-sale success for enterprise customers by leading technical onboarding, configuring integrations across CI/CD systems and developer tooling, troubleshooting production issues, conducting architecture reviews and enablement sessions, and driving adoption. Partner with account executives on renewals and expansions while gathering customer feedback for Product and Engineering. The role requires strong technical customer-facing experience, code literacy, SaaS integration knowledge, and comfort working with developers, security teams, and executives.

Leads the architecture, reliability, scaling, and evolution of hybrid-cloud and workplace infrastructure. Designs and operates production systems across data centers, offices, and cloud environments; drives migrations, automation, monitoring, incident response, and infrastructure improvements. Collaborates across IT, SRE, security, and service-owner teams, provides technical direction, mentors engineers, documents systems, and remains hands-on with critical implementations.

As a Technical Support Specialist, you will provide Tier 2 support for Avaya systems, troubleshoot complex VoIP issues, and document solutions.

Own Sophos EDR strategy, roadmap, technical product development, AI-powered experiences, and go-to-market execution. Translate customer needs, threat research, telemetry, competitive intelligence, and business goals into product priorities. Partner with engineering, security operations, threat research, marketing, sales, and customer success to deliver endpoint detection, investigation, threat hunting, response, reporting, and XDR/MDR upgrade capabilities while driving adoption, revenue, and customer outcomes.

Design, develop, and maintain secure, scalable backend systems, APIs, databases, integrations, and services. Provide technical direction, lead architecture discussions, coordinate complex initiatives, manage dependencies, review code, improve performance and observability, respond to production incidents, maintain tests and CI/CD workflows, and mentor engineers. Collaborate remotely with Product, Operations, and engineering teams to deliver reliable software.

Designs and operates scalable AWS infrastructure, builds containerized systems with Docker and Kubernetes, manages Terraform infrastructure as code, improves Jenkins and GitHub Actions CI/CD pipelines, and implements monitoring, logging, troubleshooting, and root cause analysis. The role partners with engineering teams to improve reliability, security, performance, and deployment workflows in complex SaaS environments.

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.

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, 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.

Own the full lifecycle, security, compliance, and support of company endpoints across macOS, Windows, Linux, and mobile devices. Administer UEM and Okta, deliver escalated IT support through Jira Service Management, manage onboarding and offboarding, maintain asset records, enforce endpoint security controls, automate provisioning and triage with AI, and partner with Information Security on audits, access reviews, and least-privilege policies.

Own the technical sales motion for NVIDIA-focused enterprise AI infrastructure deals. Lead discovery, architecture, proof-of-concept design and execution, technical closes, partner and field SE enablement, troubleshooting, escalation, customer workshops, and product feedback. The role requires expertise in NVIDIA systems, storage, data platforms, Linux, parallel file environments, GPU clusters, and AI pipelines, with Bay Area availability for on-site partner or customer sessions.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Develop, test, integrate, deploy, and maintain software for underwater, autonomous, industrial, commercial, and defense systems. Build applications in C++, C#, and Python for Windows and Linux, including Qt-based GUIs. Create automated test frameworks, test plans, verification reports, and CI/CD pipelines using Git, Jenkins, Docker, and scripting. Troubleshoot defects, support hardware and network integration, maintain documentation, and promote software quality, secure development, automation, and AI-assisted engineering practices.

Develop and maintain software for underwater vehicles, research initiatives, and engineering tools using C++, C#, and Python. Responsibilities include GUI development, software architecture, hardware and sensor integration, Windows and Linux development, networking, testing, debugging, documentation, deployment, and verification. The developer collaborates with multidisciplinary engineering teams and contributes to project planning, code reviews, test automation, and continuous improvement.

Designs, develops, integrates, tests, and troubleshoots control electronics, firmware, real-time algorithms, software, and automation systems for autonomous and remotely operated underwater vehicles. Responsibilities include control architecture, interfaces, communications, HMI configuration, system integration, verification planning, laboratory and sea-trial testing, technical documentation, configuration control, and support for autonomous vehicle technology development.

Design, develop, test, and maintain secure, scalable microservices for a cloud-based key management platform and SaaS service. Responsibilities include implementing multi-tenant and highly available features, troubleshooting distributed applications and databases, developing REST APIs, applying test-driven development and secure coding practices, participating in Agile delivery and code reviews, documenting solutions, and supporting production issue resolution with cross-functional teams.

Design, develop, test, and maintain secure, scalable microservices for a cloud-based key management platform and SaaS service. Implement highly available, multi-tenant services; troubleshoot distributed applications, databases, and production issues; apply test-driven development and secure coding practices; collaborate with product, architecture, QA, DevOps, support, and operations teams; and deliver features within Agile sprint timelines.

Design, develop, test, and maintain secure, scalable microservices for a cloud-based key management platform and SaaS service. Implement multi-tenant, highly available solutions using containerized environments, troubleshoot distributed applications and databases, and support production issue resolution. Collaborate with product, architecture, QA, DevOps, and support teams in Agile sprints. Apply test-driven development, secure coding practices, code reviews, documentation, and automation while developing enterprise software and RESTful APIs.

Close inbound deals with technical customers, manage proofs of concept, collaborate with solutions engineers, support customers in Slack, answer technical questions honestly, and improve internal sales systems. The role requires technical literacy, systematic pipeline management, strong written communication, urgency, independence, experimentation, and customer-focused judgment.

Leads a software development team responsible for building and maintaining medical imaging solutions. Oversees technical execution, product feature delivery, code quality, testing, compliance, deployment, monitoring, incident management, and architectural decisions. Partners with product management, quality assurance, support, and engineering teams to deliver secure, reliable healthcare software. Coaches employees, supports career development, establishes AI-assisted development governance, and drives continuous improvement across development practices and tools.

Support a global 24x7x365 security operations team by monitoring systems and networks, investigating threats and incidents, responding to phishing, malware, breaches, and cyberattacks, deploying countermeasures, analyzing post-event activity, assessing vulnerabilities, and improving security protocols. The role requires familiarity with cloud security controls, network protocols, operating systems, scripting, web technologies, penetration testing tools, and threat intelligence.