Top Linux Jobs in Ottawa

Monitor and troubleshoot CI/CD pipelines, automated tests, and flow-impacting failures for RAN products. Maintain Jenkins, GitLab, and Spinnaker-based pipelines, collaborate on root-cause resolution, generate operational metrics, provide internal customer support, and improve pipeline stability. The role requires Linux and scripting knowledge, strong analytical skills, and interest in telecommunications, cloud-native technologies, automation, and AI agent development.

Develop and integrate scheduler, baseband, and radio resource management software for 5G/6G Cloud RAN vDU systems. Translate 3GPP standards into reliable embedded real-time software, debug complex issues, create development tools, and contribute to testing, documentation, CI/CD, and AI/ML-enabled RAN solutions.

Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.

Lead incident response engagements, investigate intrusions and advanced threats, conduct host and network forensics, perform malware analysis, develop remediation plans, and communicate findings to customers, regulators, legal counsel, and executives. The role also involves threat hunting, team leadership, public thought leadership, and occasional travel.

Build and execute end-to-end test plans for enterprise video management and analytics solutions. Configure cloud, on-premises, and networked test environments; validate customer workflows; document and manage defects; investigate quality gaps; and coordinate automated testing with development and product teams. The role also owns production incidents, prioritizes technical debt, and supports continuous product quality improvement.

Build and execute manual and automated test plans for cloud-based video management and analytics solutions. Create customer-like environments, validate business workflows, manage test results, report defects, and collaborate with development and product teams. Contribute to automation roadmaps, investigate quality gaps, manage production incidents and technical debt, and maintain testing standards. The role involves approximately 70% automated testing and 30% manual testing.

Develop and maintain automated test frameworks, suites, and cases for QNX embedded software. Validate releases on real hardware, debug software-hardware interactions, investigate root causes, manage defects, execute regression testing, and create test plans and reports. Maintain automation lab infrastructure and collaborate with development and integration teams to improve coverage and product quality. The role requires Python, C, Shell, Linux, networking, embedded testing, CI/CD, and modern development tools.

Lead the Firmware SDK team by defining development strategy, managing schedules and budgets, guiding Agile delivery, establishing software quality practices, and mentoring engineers. The role includes architecture and API development, test planning, documentation, hiring, cross-functional collaboration, and support for embedded Linux, NPI, and volume manufacturing activities.

Design, develop, test, and optimize embedded C/C++ software for high-performance networking modules on Linux and VxWorks. Implement real-time OS and networking protocol functionality, create automated tests, troubleshoot performance and reliability issues, and collaborate with factory teams, peer engineers, and vendors for delivery and calibration.

Supports security operations monitoring, incident triage, alert investigation, threat containment, and technical incident response. The role analyzes network, malware, application, and endpoint security issues; executes response runbooks; works with SIEM, EDR, WAF, DLP, and related tools; and participates in an on-call rotation. It also contributes to security controls, processes, and technologies across cloud, corporate, and customer-facing systems.

Develop embedded software for optical test and measurement equipment, including imaging and machine vision applications. Responsibilities include embedded Linux platform development, system architecture, hardware bring-up, imaging algorithm development, C++ and Python application development, debugging, integration, documentation, and full product lifecycle support. The role collaborates with hardware and software teams in an Agile environment and requires expertise in real-time embedded systems, image processing, and machine vision.

Develop and deploy automation and test software for photonics manufacturing. Build systems integrating motion stages, power supplies, optical and electrical instruments, cameras, and vision systems. Create machine vision, data acquisition, and analytics solutions; modernize existing software; and collaborate with design, process, manufacturing, and production teams. The role requires hands-on hardware troubleshooting, production-focused engineering, and ownership of projects from requirements through deployment.

Develop systems software for the QNX RTOS using C, C++, Python, and Rust. Integrate open-source projects, AI and robotics frameworks, middleware, graphics, networking, and multimedia technologies. Build OS abstraction layers and porting libraries, adapt cross-compilation systems, optimize embedded performance, and create demonstrations for customers and industry events. The role requires strong systems programming, operating systems, POSIX, Linux or QNX, and embedded development knowledge.

Supports the Data Science Applications course by assisting students for 25 hours, grading for 35 hours, and proctoring for 5 hours. The role requires strong Python, Jupyter Notebook, machine learning library, Git, Windows, Linux, and SQL knowledge. Preferred candidates are thesis-based graduate students in Computer Engineering with machine learning research experience, a GPA above 3.0, relevant programming or data science project experience, and prior teaching assistant experience.

Manage the AMER Support Engineering team, including hiring, mentorship, performance development, and technical growth. Lead customer support quality, process improvement, automation, AI adoption, and cross-functional collaboration. Build scalable workflows, promote team ownership and psychological safety, and ensure Support Engineers resolve complex technical issues throughout the support lifecycle. Partner with product and development teams to improve customer outcomes and support efficiency.

Design, develop, and maintain high-performance embedded C/C++ software for sensor frameworks. Lead integrations for cameras, LiDAR, radar, GPS/IMU, ISPs, SerDes, and new SoCs; evolve APIs and architecture; port software to hardware platforms; debug system-level issues; create reference applications; and apply static analysis and unit testing. Collaborate with hardware vendors and engineering teams while providing technical leadership across embedded systems.

Leads enterprise technology architecture, infrastructure modernization, database and middleware administration, system integrations, IAM and SSO architecture, operating system and database upgrades, performance optimization, and platform sustainment. Supports Oracle, SQL Server, DB2, middleware, Hadoop, and enterprise infrastructure environments while managing documentation, governance, release processes, ITIL alignment, stakeholder engagement, and technical leadership.

Monitor systems and networks in a global 24/7 security operations environment, investigate and respond to cyber incidents, analyze post-event activity, assess vulnerabilities, and deploy countermeasures. The role requires familiarity with cloud security controls, threat intelligence, operating systems, network and web technologies, scripting, penetration testing tools, and vulnerability management. Strong analytical, communication, collaboration, and problem-solving skills are essential.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, automated recovery, production handoff, on-call support, incident response, and root-cause analysis across hardware, networking, Linux, Kubernetes, and distributed services.

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.

Own and secure foundational cloud platform infrastructure across container security, Kubernetes operations, identity and access management, and infrastructure automation. The role involves hardening base images, enforcing Kyverno policies, maintaining Keycloak authentication, operating AWS infrastructure, building Python and Go tooling, leveraging AI for automation, remediating vulnerabilities, supporting CI/CD, and participating in on-call incident response.

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.