LP
AI DevOps Specialist
LinkedIn Recruiter Post
Hiring an AI DevOps Specialist to implement DevOps strategies, manage CI/CD pipelines, and support AI - assisted development workflows remotely.
About the role
- Observability / DevOps Advisor role overseeing reliability and performance of applications. Support teams by implementing observability platforms, focusing on CI/CD pipelines and AI.
Responsibilities
- Support teams during production incidents and help prevent future incidents by leveraging our observability platforms and industry best practices;
- Onboard new teams, applications, services, and infrastructure components onto our observability and SRE platforms, with a strong focus on CI/CD pipelines and the use of artificial intelligence;
- Enhance our observability platforms, tools, pipelines, practices, documentation, training materials, and our use of artificial intelligence.
Requirements
- At least 5 years of experience in a developer, DevOps, and/or observability role
- Strong experience and interest in support and operations, ideally in a large enterprise environment with multiple cross-functional teams
- Solid experience designing CI/CD pipelines with Terraform, including designing and maintaining modules that facilitate pipeline adoption and reuse
- Experience using artificial intelligence in an enterprise or software development context (ML, GenAI, and AI agents)
- Bilingual (French and English): Need to interact on a regular basis with an English-speaking clientele and colleagues across the country
- No Canadian work experience required however must be eligible to work in Canada
- Strong assets: Experience with Dynatrace or similar application and service observability (APM) solutions; Experience with Elasticsearch or similar log management solutions; Experience producing and working with telemetry signals (traces, logs, metrics, events, etc.); Experience with IT service management (ITSM), configuration management (CMDB), incident management, and notification platforms; Experience defining KPIs and service level objectives (SLA, SLO, SLI); Experience with AWS, Azure, GCP, Kubernetes, and OpenShift; Experience with networking, routing/switching, and cybersecurity infrastructure; Experience in Java, Python, and SQL; Experience with diagramming, dashboards, and reporting; Experience delivering team training and knowledge transfer; Experience in cybersecurity and vulnerability detection.
Benefits
- Flexible work arrangements and a hybrid work model
- Possibility to purchase up to 5 extra days off per year
- Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
- Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
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