Top Linux Jobs in Vancouver

Build and deploy highly reliable endpoint security agents for Windows, macOS, and Linux. Lead technical execution, system design, architecture documentation, code quality, performance, and reliability initiatives. Mentor engineers and collaborate with Product, Security, and DevOps teams. The role requires strong systems programming, operating system internals, cybersecurity, threat detection, security data processing, and technical leadership experience.

Build and maintain automation systems for package creation, testing, and container image generation. Develop Go-based CLI tools, services, and integrations, along with AI- and LLM-powered pipelines for manifest generation, test scaffolding, and validation. Create quality tooling, evaluation loops, and security gates while contributing to system architecture and roadmap planning. Collaborate with distributed engineering teams across North America, Europe, and India.

Leads end-to-end design and qualification of space-rated avionics hardware for TeraWave satellites. Responsibilities include requirements, circuit and schematic design, PCB integration, signal and power integrity analysis, trade studies, testing, verification, production support, configuration management, and flight support. The role also mentors engineers, reviews technical designs and documentation, and collaborates across electrical, mechanical, production, quality, firmware, and software teams.

Leads end-to-end development of space-rated avionics power components, including requirements, circuit and PCB design, controller algorithms, testing, qualification, production support, and flight integration. Performs power integrity, reliability, radiation, and worst-case analyses; supports hardware builds and defect disposition; manages design configurations; reviews technical documentation; and mentors junior engineers. Requires extensive switching power supply, ruggedized hardware, Altium, FPGA, and spaceflight avionics experience.

Own post-sale success for commercial customers by leading technical onboarding, configuring integrations across CI/CD systems and developer tools, troubleshooting production issues, conducting architecture reviews, and driving product adoption. The role manages customer relationships, QBRs, success plans, workshops, and technical support while partnering with Sales, Product, and Engineering to resolve issues and improve scalable customer-success programs.

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.

Design, build, deploy, operate, and maintain scalable cloud-based web services, APIs, microservices, tools, and internal systems using Go. Improve code quality, testing, deployment automation, monitoring, and engineering processes. Collaborate with stakeholders and engineering teams, make data-informed product decisions, troubleshoot complex issues, and mentor colleagues while delivering production-ready solutions in an agile environment.

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.

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.

Develop high-performance dataplane software for TeraWave satellite communications points of presence. Responsibilities include building C/C++ packet-processing applications, optimizing 100G/400G line-rate performance, implementing routing and tunneling protocols, integrating SmartNIC and FPGA accelerators, architecting distributed systems, conducting code reviews, mentoring engineers, and collaborating with hardware, platform, and networking teams.

Leads DevOps and platform engineering for an Azure SaaS platform, owning CI/CD, Terraform infrastructure, containerized deployments, scaling, rollbacks, security, observability, disaster recovery, and cost optimization. Builds infrastructure and pipelines for AI, machine learning, and data workloads while operating Azure services, Databricks, Elasticsearch, and API Management. Partners with Engineering, Security, NOC, and FinOps teams, mentors engineers, develops internal platforms, and drives reliability through KPIs and SLOs.

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.