Principal Application DevOps Engineer, AI & Automation

Position Overview:

The IFI Cloud Service includes a broad set of customer-facing services, application components, databases, integrations, and on-premises cloud infrastructure. The Principal Application DevOps 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.

Responsibilities:

Application Operations & Observability

• 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.

Incident Triage, Reliability & Problem Management

• 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.

Software Delivery & Release Engineering

• 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.

AI-Enabled Operations & Automation

• 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.

Technical Leadership & Partnership

• 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 and recommendations clearly to engineering, operations, product, and leadership audiences.

• Participate in scheduled daytime on-call coverage as part of a follow-the-sun support model and in off-hours maintenance windows as assigned.

Success Measures

• Improved application-level observability and earlier detection of customer-impacting conditions.

• Faster, more consistent application triage with less dependency on R&D or individual subject matter experts.

• Increased Cloud Services ownership of release, deployment, validation, and operational-readiness activities.

• Reduced avoidable alert noise, recurring incidents, manual release effort, and deployment failures.

• Production use of AI-enabled operational capabilities with demonstrated adoption and measurable value.

• Greater application and software-delivery depth across the broader Cloud Services engineering team.

Basic Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or an equivalent combination of education and relevant experience.

• 10+ years of experience across software engineering, DevOps, site reliability engineering, application operations, production engineering, or related disciplines.

• Extensive experience supporting enterprise SaaS or distributed microservices applications in production environments.

• Strong software-development or scripting capability and the ability to read, troubleshoot, and improve application code and automation.

• Hands-on experience with CI/CD, configuration automation, deployment tooling, source control, and software release practices.

• Demonstrated expertise with application performance monitoring, centralized logging, distributed tracing, alert design, and production diagnostics.

• Experience leading complex incident triage, root cause analysis, and reliability improvements across application and infrastructure boundaries.
• Experience building or integrating AI-assisted engineering or operations solutions, including agentic AI workflows, AI agents, or tool-using automation beyond basic code generation or ad hoc analysis.

• Ability to lead through influence, mentor experienced engineers, and deliver meaningful progress in an environment with shared ownership.

Preferred Qualifications:

• Experience supporting highly available applications and services in on-premises or private-cloud environments.

• Experience with tools such as Datadog, Splunk, Jenkins, Octopus Deploy, Ansible, Terraform, GitHub, or comparable platforms.

• Experience designing operational workflows that use generative AI, AI agents, retrieval-augmented generation, or machine-learning-based analysis.

• Familiarity with responsible AI practices, including data protection, validation, human oversight, prompt and model risk, and production monitoring.

• Experience with secure, highly available, regulated, or payment-related services.

• Experience with Blue/Green deployment models, automated post-deployment assurance, and production-readiness reviews.

About Entrust

Entrust keeps the world moving safely by enabling trusted identities, payments, and data protection around the globe. People rely on seamless, secure experiences when crossing borders, making purchases, accessing corporate networks, and interacting with digital services. Entrust delivers a broad portfolio of identity, payment, and data-protection solutions to organizations around the world.

Entrust Corporation is an equal opportunity employer, including veterans and people with disabilities.

NO AGENCIES, NO RELOCATION

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Compensation Range:

In the US: The anticipated starting base pay for this position is: $149,578-$219,381 per year (in the primary posting location). Actual compensation will be determined based on geographic location, education, skills and experience. This position is also eligible for the company’s discretionary annual incentive plan. In addition to your pay, Entrust offers eligible colleagues and their dependents comprehensive health and well-being programs which include medical, vision, dental, a generous 401(k) matching contribution, life and disability insurance, mental health coaching, virtual fitness programs, paid personal time off plus 12 paid holidays, parental leave and education reimbursement. Please speak with the recruiter for more details. Note: Benefit and Compensation programs are subject to eligibility requirements and other terms of the applicable plan or program. Entrust has the right to end, suspend or amend any of its plans at any time in whole or in part. In Canada: The pay range for this position is $120,500 - $170,500 per year. This position is also eligible for the company's discretionary annual incentive plan. Actual compensation will be determined based on education, skills and experience. In addition to your pay, Entrust offers eligible colleagues and their dependents comprehensive benefits, vacation, paid time off and paid holidays. Please speak with the recruiter for more details. Note: Benefit and Compensation programs are subject to eligibility requirements and other terms of the applicable plan or program. Entrust has the right to end, suspend or amend any of its plans at any time in whole or in part.

For US roles, or where applicable:

Entrust is an EEO/AA/Disabled/Veterans Employer

For Canadian roles, or where applicable:

Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact accessibility@entrust.com.

Recruiter:

Grace RusingizaGrace.Rusingiza@entrust.com

About Us

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.