Top Linux Jobs in Ottawa

Designs, develops, integrates, tests, and maintains production embedded Linux software for vehicle systems. Responsibilities include modern C/C++ and Qt/QML development, Yocto platform maintenance, Python automation, CI/CD, automated testing, debugging across hardware and software boundaries, release management, architecture, documentation, and production support. The role also provides technical leadership and mentorship while collaborating with multidisciplinary engineering, manufacturing, cybersecurity, and supplier teams.

Design and deliver resilient, production-quality multi-node Linux systems and upgrades using Python (and Go). Work with Kubernetes operators, Helm, OpenStack, and StarlingX; manage software update lifecycles, patching, rollbacks, and host/service configuration. Diagnose Unified Software Management and patch framework issues, drive maintenance quality improvements, and leverage AI-assisted development tools to improve code quality and velocity.

Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.

Senior pre-sales systems engineer partnering with sales to design, present, and validate enterprise storage solutions. Lead technical evaluations, benchmarks, RFP responses, and architecture presentations across on-prem and cloud environments. Advocate product positioning, interoperability testing, and customer-focused solution outcomes.

Lead and resolve high-severity post-sales technical escalations through deep-dive investigation, reproduction, and engineering handoff. Own customer calls, collect logs/evidence, file bug reports, monitor patterns, and improve tooling and runbooks in partnership with Support and Engineering.

The Principal Software Engineer will lead technical initiatives across teams, enhancing engineering effectiveness and ensuring high-quality systems, while mentoring senior engineers.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Provide expert MySQL/InnoDB support to customer DBA teams: gather data, investigate issues, deliver analyses, run screen-share troubleshooting, author community content, build knowledge-base articles, and host webinars. Support includes performance tuning, HA, backups, Linux administration, monitoring, and occasional travel.

Hands-on field engineer who keeps robot data collection running: stand up and maintain stations, triage and resolve hardware/software/data issues on customer and partner sites, bring up new tasks and sites, and feed operational insights back to model, platform, and hardware teams.

Build, train, evaluate, and deploy production computer vision models (detection, segmentation, OCR, barcode decoding, visual search). Own dataset quality, tooling, model releases, inference exports, and monitoring. Collaborate cross-functionally to improve model performance, robustness, and deployment for retail robotics and edge environments.

Lead design, integration, and optimization of production robot perception pipelines (detection, segmentation, depth, tracking, SLAM). Bridge computer vision and robot autonomy, optimize real-time inference on edge GPUs, debug field failures, define system benchmarks, and provide technical leadership and mentorship across teams.

Own and improve annotation systems, workflows, and tooling to produce high-quality training data. Build Python and web tools, integrate model-assisted labeling and active learning, implement data quality checks, support dataset versioning and evaluation, and coordinate cross-team efforts to measure and improve annotation throughput and model impact.

The role involves building and supporting infrastructure, improving developer tooling, and managing networking and security while gaining experience in DevSecOps practices.

Develop and optimize ultra-low-latency, high-performance trading infrastructure in modern C++. Implement and tune order execution, market data connectivity, multi-threaded systems, and risk modules. Profile and benchmark real-time systems, collaborate with quants and traders, and maintain robust, fault-tolerant continuous trading operations.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

Optimize Ubuntu integration across latest IoT and server-class hardware, lead customer engagements, and work with open source communities in a remote, collaborative environment.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

The Support Engineering Manager oversees a support team providing technical solutions for Ubuntu products, ensuring customer satisfaction and team development.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

Own and operate infrastructure-as-code across cloud, on-prem, and bare-metal; build CI/CD pipelines; containerize and orchestrate services; maintain observability and reliability; participate in on-call and incident response; enable engineering teams with self-service tooling and secure deployment practices.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

Provide advanced technical support and escalation for Illumio deployments: manage cases, troubleshoot customer systems (OS and cloud), coordinate with R&D, update documentation and knowledge base, mentor peers, and act as primary customer contact via email/phone/remote tools.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.