Top Linux Jobs in Calgary

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.

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.

Own Jenkins-based RTL quality and release-promotion pipelines across lint, CDC, RDC, synthesis, and STA. Build QoR tracking, automated quality gates, waiver management, and evidence generation. Develop LLM-driven tooling to triage violations, create annotated pull requests, check spec-to-RTL consistency, and generate documentation. The role requires strong Python, hardware-flow knowledge, CI/CD expertise, and practical LLM integration experience. It is fully onsite Monday through Friday in the Bay Area, Vancouver, or Toronto.

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 complex embedded hardware and firmware development projects from concept through production and commercialization. Owns project planning, schedules, resources, risks, documentation, design-control release plans, and cross-functional execution. Acts as scrum master, facilitates technical discussions, coordinates engineering, quality, regulatory, manufacturing, clinical, and commercial teams, and ensures compliance with company and international standards. Supports production release, project health monitoring, and continuous process improvement for medical device products.

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.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Build and operate secure, scalable, observable infrastructure for AI platforms, web applications, APIs, backend services, and shared platforms across Azure and OCI. Manage Kubernetes environments, cloud networking, CI/CD pipelines, infrastructure automation, databases, caches, queues, monitoring, incident response, reliability, and cost optimization. Translate technical designs into production-ready infrastructure and create reusable platform patterns. Collaborate with AI, application, and architecture teams while troubleshooting across application and infrastructure boundaries.

Provides Tier 1 technical support to English- and French-speaking customers through phone, email, and chat. Troubleshoots configuration, access, and application issues; documents and categorizes tickets; provides product guidance; escalates complex cases; monitors SLAs and follows up on open cases. The role also assists with French training and documentation translation, participates in product and process training, and works a rotating after-hours and public-holiday schedule.

Senior Oracle APEX and Database Administrator responsible for design, administration, performance tuning, upgrades, backup/recovery, and lifecycle management of Oracle databases and APEX/ORDS environments across DEV/QA/PROD. Provide Tier 3 support, automation, CI/CD contributions, and coordinate upgrades with cross-functional teams.

Lead engineering, deployment, optimization, and administration of the organization's Splunk SIEM environment. Architect and implement Splunk Enterprise Security, RBA, apps, dashboards, alerts, and integrations. Mentor Tier II staff, manage Linux-based Splunk infrastructure, perform tuning and troubleshooting, and produce documentation and change management for large-scale enterprise solutions.

Develop and maintain a low-latency, high-performance game streaming application across multiple platforms. Responsibilities include UI, video encoding and decoding, networking, input devices, video rendering, UDP protocols, and production C development. The role involves solving complex performance challenges, deploying code to millions of users, collaborating with a globally distributed team, mentoring engineers, and responding to customer needs.

Join Texas Instruments’ Embedded Processing Software Engineering Tools team in Toronto through a first-year Career Accelerator Program. Develop desktop and cloud-based embedded tooling, contribute to complex application software, learn software development life cycles, and work with embedded devices, SDKs, and industry-standard tools. The role requires collaboration, problem-solving, communication, and programming experience with TypeScript, JavaScript, React, HTML, and CSS.

Manages the lifecycle and strategy of networking products, translating customer and market needs into technical requirements, business cases, releases, pricing, documentation, and demonstrations. Partners with R&D, marketing, sales, support, regional teams, and customers to prioritize features, validate development plans, support bids, and launch profitable products. Requires deep expertise in Linux, telecommunications, networking architectures, embedded systems, and modern network management technologies. Occasional travel to Nokia sites and customer premises is required.

Lead and grow the Core Workspaces engineering team, set technical direction, and contribute to architecture and implementation. Build reliable, extensible agentic systems involving agent execution, tool use, context management, streaming, integrations, and long-running workflows. Partner with Product and Design to improve developer experiences while coaching engineers, raising technical standards, and optimizing reliability, performance, and operability.

Test and validate Circle's cardiac MR software across platforms. Create, execute, and maintain test cases and automated regression scripts, report root causes, troubleshoot issues, and collaborate with clinicians and the scrum team. Perform functional, integration, performance, and user-acceptance testing and document results.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Lead AppSec efforts across product, platform, and AI features by owning secure SDLC, performing threat modeling and deep code reviews, driving vulnerability management and remediation, building AppSec tooling and automations (including AI-assisted workflows), and enabling engineering teams with secure design guidance and training.

Provide technical support for Self-managed and GitLab.com customers via tickets and calls; troubleshoot Linux systems and GitLab installations; write bug reports, documentation, and fixes; collaborate with Product, Development, Infrastructure, and Customer Success; participate in on-call rotations and hiring processes.

Own and operate infrastructure for a large-scale sports betting and media platform across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and incident response, support development teams, troubleshoot distributed systems, reduce operational toil, and mentor engineers.