Senior AI-Driven DevOps Engineer, Cloud Ops & Automation

Entrust; Canada; Presencial; CAD 140 000 - 180 000; Tempo integral

Resumo da oferta

Entrust seeks a senior Principal Application DevOps Engineer, AI & Automation to anchor application operations, drive AI-enabled automation, and bridge R&D with Cloud Services. You will lead observability, incident triage, and release engineering, advancing machine-assisted insights while reducing manual toil across production systems.

You will craft health indicators, dashboards, and runbooks, mentor engineers, and champion secure, scalable AI-enabled workflows that improve alerting,

Responsabilidades

• Develop deep working knowledge of IFI application architecture, service dependencies, transaction flows, and common failure modes.
• Define and implement application health indicators, service-level indicators, dashboards, alerts, and diagnostic views.
• Advance monitoring beyond infrastructure signals by incorporating application behavior, transactions, errors, latency, dependencies, and business-process health.
• Partner with engineers and support teams to improve telemetry, logging, tracing, application diagnostics, and supportability.
• Establish standards for actionable alerting, monitoring coverage, operational runbooks, and application readiness.
• Lead application-focused triage for complex production incidents and help the team distinguish symptoms from causes.
• Use logs, metrics, traces, code-level context, database signals, and deployment history to accelerate diagnosis and recovery.
• Drive root cause analysis and corrective-action planning for recurring or high-impact issues.
• Identify reliability risks and translate findings into engineering improvements, automation, monitoring changes, and backlog items.
• Coach Cloud Services engineers in application-aware troubleshooting and production engineering practices.
• Own and improve deployment automation, CI/CD pipelines, release engineering practices, and environment promotion processes.
• Establish release standards, deployment validation, post-deployment assurance, rollback procedures, and production-readiness criteria.
• Partner with R&D to define clear operational handoffs, ownership boundaries, and support expectations for new and changed capabilities.
• Advance practices such as automated testing, progressive delivery, Blue/Green deployments, controlled cutovers, and automated recovery.
• Reduce manual steps, release risk, and dependency on individual subject matter experts.
• Identify and prioritize operational problems where AI can materially improve speed, quality, consistency, or engineering capacity.
• Design and build practical AI-assisted solutions for alert enrichment, incident summarization, triage guidance, log and telemetry analysis, deployment validation, anomaly investigation, knowledge retrieval, and corrective-action recommendations.
• Move AI opportunities from concept through prototype, validation, production implementation, adoption, and measurable outcome tracking.
• Integrate approved AI capabilities with operational data sources, monitoring platforms, delivery pipelines, knowledge repositories, and team workflows.
• Apply appropriate security, access, data-handling, validation, auditability, and human-review controls to AI-enabled operational solutions.
• Establish reusable patterns and coach engineers so AI adoption becomes a team capability rather than a collection of isolated experiments.
• Serve as a senior technical leader and change agent without requiring formal people-management responsibility.
• Influence architecture, tooling, engineering priorities, and operating practices across Cloud Services, R&D, AppOps, and related partners.
• Turn ambiguous operational needs into a clear technical approach, delivery plan, and measurable result.
• Mentor engineers through hands-on pairing, technical reviews, troubleshooting sessions, and reusable guidance.
• Communicate technical findings

Descrição da oferta de emprego

Entrust seeks a senior Principal Application DevOps Engineer, AI & Automation to anchor application operations, drive AI-enabled automation, and bridge R&D with Cloud Services. You will lead observability, incident triage, and release engineering, advancing machine-assisted insights while reducing manual toil across production systems.

You will craft health indicators, dashboards, and runbooks, mentor engineers, and champion secure, scalable AI-enabled workflows that improve alerting,