Recherche interprétée à partir de “Remote infrastructure monitoring systems”Chercher les mots exacts
Emplois “infrastructure monitoring systems” au Canada
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Candidates need to be enrolled in a cybersecurity, networking, computer science, or related program. They should understand security and networking fundamentals, have scripting skills (Python preferred), and ideally have experience with AI or LLM-based tools.
5+ ansCandidates need 5+ years of software engineering experience, strong backend programming and SQL skills, and hands-on work with columnar or analytical databases. A solid grasp of distributed systems and CI/CD workflows is also required.
3+ ansCandidates need 3+ years of software engineering experience with a strongly typed language such as Haskell, Rust or C++, plus strong SQL and PostgreSQL skills. Solid computer science fundamentals, willingness to take on-call shifts, and careful handling of financial data are also required.
3+ ansCandidates need 3+ years of professional software engineering experience with a functional or strongly typed language, hands-on CI/CD and AWS experience, and Terraform and Docker skills. Strong Linux and scripting skills, distributed systems knowledge, and a calm approach under pressure are also required.
5+ ansCandidates need 5+ years of security engineering experience, including substantial IAM experience with tools such as Okta or SailPoint. They also need strong knowledge of SAML, OAuth, OpenID Connect, SCIM, MFA, RBAC/ABAC, scripting, and infrastructure-as-code.
Narvar: Recognized multiple times by Fast Company as one of the most innovative companies, Narvar is redefining the post-purchase journey—from returns and…
12+ ans5+ gestionCandidates need 12+ years in engineering with 5+ years managing ML or data teams, plus production ML experience with consequential automated decisions. Strong Python skills, experience with ML infrastructure, and deep experience in identity resolution, fraud detection, or risk scoring are required.
Candidates need significant senior DevOps, cloud or platform engineering experience, strong hands-on AWS and Kubernetes skills, and infrastructure as code and CI/CD experience. They also need leadership, communication and troubleshooting abilities.
Candidates need product management fundamentals, practical understanding of LLMs, AI agents and agent architecture, and familiarity with cloud and API platforms. Experience with SaaS, developer platforms or enterprise products is valuable, and comfort with engineering discussions is expected.
Claude Code, OpenAI Codex, AWS, Kubernetes, Docker
4+ ansBank of Montreal needs candidates with typically 4 to 7 years of IT or business experience, plus an undergraduate degree in computer science or equivalent practical experience. Candidates must have strong troubleshooting skills, ITIL-based problem-solving, and clear communication with executives.
6+ ansClera needs candidates with at least 6 years of software or ML engineering experience, including shipping ML or LLM systems to production. Strong Python skills, experience with conversational AI or real-time voice systems, and comfort owning work from problem definition through production are expected.
Python, Ray Serve, Dagster, LiveKit, Vertex AI, GCP
Make sure solutions meet non-functional requirements: security, high availability, reliability, scalability, auditability, capacity and performance; Lead requirements gathering and turn business and non-functional…
6+ ansEnbridge needs candidates with a university degree and at least six years of related experience, or eight years of field operations experience. Candidates need hands-on knowledge of compression and power generation machinery such as LM 2500, strong data and vibration analysis skills, and a valid driver's licence.
LM 2500, Vibration analysis systems, Condition monitoring systems
7+ ansEnbridge needs extensive compression operations or reliability experience, strong turbomachinery and gas compression knowledge, and a related degree or equivalent field experience. A valid driver's licence and a safe driving record are also required.
maintenance management system, asset management system
1+ ansCandidates need one to three or more years in technical support, a post-secondary degree in computer science or a related field, strong troubleshooting and communication skills, and familiarity with ITIL and ITSM tools. Experience with SQL, APIs, healthcare interoperability standards and SaaS is an asset.
6+ ansCandidates need 6 to 8+ years negotiating vendor or technology agreements, including SaaS, cloud and data protection terms. Working knowledge of AI tools such as Claude and contract platforms such as Ironclad is valued.
Candidates need hands-on experience managing Meta ad campaigns and a solid grasp of metrics such as CPA, CAC, ROAS, CTR and CPC. They should be able to set up and troubleshoot Pixel, CAPI and UTM tracking, and work independently with near-native English.
Meta Ads Manager, Meta Business Suite, GoHighLevel, Slack, Google Drive, Google Sheets
Candidates need strong hands-on Linux administration (Debian or Ubuntu), TCP/IP networking and remote troubleshooting experience. They also need production uptime experience, excellent spoken English, clear written documentation skills and a reliable home internet connection.
5+ ansCandidates need at least 5 years of technical sales experience, ideally selling developer tools, databases or cloud infrastructure. They must show consistent quota attainment and enough technical fluency to talk credibly with engineers.
5+ ansCandidates need at least 5 years in senior finance leadership such as CFO, VP of Finance or Head of Treasury. They must have a record of opening international bank accounts, deep knowledge of AML/KYC and SWIFT, SEPA and ACH, and C1/C2 English.
15+ ans6+ gestionCandidates need at least 15 years of software engineering experience, including 6+ years leading engineering managers and multi-team organizations. Hands-on experience with AI or LLM-powered product features and enterprise system reliability is required.
Process improvement, Quality assurance, Machine learning, Prioritization, Communication skills, Stakeholder management
5+ ansCandidates need at least 5 years of production data engineering experience, with deep Spark, Databricks, SQL, Python or Scala, dbt and AWS/Terraform skills. They must also use AI coding assistants effectively and communicate well with non-technical stakeholders.
Candidates need proven experience building or scaling technical support organizations, hands-on troubleshooting across SQL, APIs and data systems, and experience with AI-enabled support. Strong communication, workforce planning and coaching skills are also required.
5+ ansCandidates need at least 5 years of software engineering experience, mostly on backend or API systems, and 2+ years evolving APIs used by several clients. Strong computer science fundamentals, real-time feature experience and daily use of AI coding agents are also needed.
Equinix LLC: Equinix (Nasdaq: EQIX) is the world’s digital infrastructure company®, enabling digital leaders to harness a trusted platform to bring together and…
Candidates need a product business operator and strategy leader background with transformation and portfolio management experience at executive level. They must communicate well with C-suite executives and boards and turn complex priorities into measurable outcomes.