EN Principal Application DevOps Engineer, AI & Automation Entrust · Remote · US · DevOps & Release In listing ago

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.

The IFI Cloud Service includes a broad set of customer-facing services, application components, databases, integrations, and on-premises cloud infrastructure. The Principal Application Dev Ops Engineer, AI & Automation will bring an application-first engineering perspective to Cloud Services and serve as a key bridge between R&D and Operations.

This is a senior, hands‑on individual contributor role for a technical leader who can anchor application operations and progressively build AI‑enabled automation capability within Cloud Services. The role is responsible for advancing application observability, production triage, release engineering, deployment automation, and operational readiness, while reducing reliance on development resources for day‑to‑day production insight and release support.

The individual will also lead practical adoption of AI within operational workflows. The focus is not limited to using AI as a personal productivity tool. This role will identify, design, build, and operationalize AI‑assisted solutions that improve incident response, monitoring quality, deployment assurance, root cause analysis, and operational decision‑making. The successful candidate will be comfortable moving from an idea or proof of concept to a secure, supportable solution used by the team.

• 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 that connect system behavior to customer and application impact.

• Advance monitoring beyond infrastructure signals such as CPU, disk, memory, and connections 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 application, integration, data, deployment, or infrastructure 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…