Top Linux Jobs in Ottawa

Leads complex healthcare IT implementations for medical imaging and image exchange solutions. Designs, configures, validates, and deploys HL7/DICOM integrations; diagnoses application, workflow, and infrastructure issues; supports go-lives; trains users and administrators; coordinates milestones with project teams, clients, and vendors; documents configurations and architecture changes; and contributes to custom queries, reports, migrations, and process improvements.

Develop and maintain secure, highly available public and private cloud infrastructure using automation, Infrastructure as Code, Kubernetes, Puppet, and deployment pipelines. Responsibilities include cloud architecture, IAM, networking, scripting, containerization, monitoring, troubleshooting, disaster recovery, security collaboration, and on-call support. The role also mentors engineers, researches emerging technologies, and partners with DevOps and Basis teams to support cloud-based applications.

Build and maintain Python automation tools, test frameworks, and Jenkins CI/CD pipelines supporting functional, regression, and performance testing. Investigate test and pipeline failures, validate software fixes, improve automation coverage and reliability, and communicate actionable results. Partner with QA, Engineering, and DevOps teams on tooling and enterprise changes. Provide technical guidance, mentor co-op students, support hiring, and report on team progress, risks, priorities, and initiatives.

Designs and validates FPGA control and datapath logic for optical networking systems. Responsibilities include IP integration, simulation, verification, synthesis, timing and constraint optimization, automated lab testing, debugging, cross-functional integration, and technical documentation. The role collaborates with hardware, firmware, algorithms, and product verification teams to ensure system-level performance.

Modernize and maintain hybrid CI/CD infrastructure across on-premise and cloud environments. Migrate Jenkins and Bitbucket workflows to GitHub Actions, manage Terraform infrastructure, improve artifact processes, administer software lifecycle tools, coordinate application releases, support development teams, automate governance, and ensure audit compliance.

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.

Troubleshoot customer issues, analyze and reproduce bugs, identify root causes, implement fixes, design features, write code and unit tests, and contribute to automated testing. Review developer designs and code, improve engineering practices, and manage infrastructure changes using Terraform and Helm. The role requires strong software engineering, Kubernetes, Docker, Linux, cloud, networking, and customer communication skills.

Develop and maintain ARM-based embedded Linux Board Support Packages for automotive platforms. Responsibilities include bootloader and secure boot development, Linux kernel and driver work, device trees, board bring-up, Yocto-based builds, hardware integration, diagnostics, update reliability, and production deployment. The role requires troubleshooting across software and hardware boundaries and developing Python or shell automation while collaborating with engineering, testing, manufacturing, and systems teams.

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.

Design, build, and maintain Python backend services and internal APIs for high-traffic hosting platforms. Administer Linux production systems, optimize MySQL queries and schemas, troubleshoot incidents, and participate in on-call rotation. Collaborate with senior engineers and cross-functional teams to deliver tested features, modernize legacy Perl systems, and contribute to technical design decisions. Apply AI responsibly throughout development, debugging, testing, and code review.

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.

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.

Provides lifecycle support for semiconductor CAD environments, PDKs, tapeout flows, analog, mixed-signal, and digital design tools. Develops automation scripts, regression flows, utilities, and documentation; evaluates and deploys new EDA software; supports Linux and design users; troubleshoots issues; and coordinates with EDA vendors across multiple engineering sites.

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.

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.