{"id":1986164,"url":"https://alion.io/job/entrust-principal-application-devops-engineer-ai-automation","title":"Principal Application DevOps Engineer, AI & Automation","company":{"id":4788,"name":"Entrust","domain":"entrust.com","url":"https://alion.io/company/entrust","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-09T06:01:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States","United States","Canada"],"countries":["US","CA"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":149578,"max":219381,"currency":"USD","period":"year","gross":null,"usd_annual":219381},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"SRE","optional":false},{"name":"Ansible","optional":true},{"name":"Datadog","optional":true},{"name":"GitHub","optional":true},{"name":"Jenkins","optional":true},{"name":"Octopus Deploy","optional":true},{"name":"RAG","optional":true},{"name":"Splunk","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-09T21:23:14Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Join us at Entrust\nAt Entrust, we’reshaping 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.\nGet to Know Us\nHeadquartered 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’sthe curiosity, dedication, and innovation that drive our success and help us anticipatethe future.\nPosition Overview:\nThe 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.\nThis 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.\nThe 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.\nResponsibilities:\nApplication Operations & Observability\nDevelop deep working knowledge of IFI application architecture, service dependencies, transaction flows, and common failure modes. \nDefine and implement application health indicators, service-level indicators, dashboards, alerts, and diagnostic views that connect system behavior to customer and application impact. \nAdvance monitoring beyond infrastructure signals such as CPU, disk, memory, and connections by incorporating application behavior, transactions, errors, latency, dependencies, and business-process health. \nPartner with engineers and support teams to improve telemetry, logging, tracing, application diagnostics, and supportability. \nEstablish standards for actionable alerting, monitoring coverage, operational runbooks, and application readiness. \nIncident Triage, Reliability & Problem Management\nLead application-focused triage for complex production incidents and help the team distinguish symptoms from application, integration, data, deployment, or infrastructure causes. \nUse logs, metrics, traces, code-level context, database signals, and deployment history to accelerate diagnosis and recovery. \nDrive root cause analysis and corrective-action planning for recurring or high-impact issues. \nIdentify reliability risks and translate findings into engineering improvements, automation, monitoring changes, and backlog items. \nCoach Cloud Services engineers in application-aware troubleshooting and production engineering practices. \nSoftware Delivery & Release Engineering\nOwn and improve deployment automation, CI/CD pipelines, release engineering practices, and environment promotion processes. \nEstablish release standards, deployment validation, post-deployment assurance, rollback procedures, and production-readiness criteria. \nPartner with R&D to define clear operational handoffs, ownership boundaries, and support expectations for new and changed capabilities. \nAdvance practices such as automated testing, progressive delivery, Blue/Green deployments, controlled cutovers, and automated recovery. \nReduce manual steps, release risk, and dependency on individual subject matter experts. \nAI-Enabled Operations & Automation\nIdentify and prioritize operational problems where AI can materially improve speed, quality, consistency, or engineering capacity. \nDesign 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. \nMove AI opportunities from concept through prototype, validation, production implementation, adoption, and measurable outcome tracking. \nIntegrate approved AI capabilities with operational data sources, monitoring platforms, delivery pipelines, knowledge repositories, and team workflows. \nApply appropriate security, access, data-handling, validation, auditability, and human-review controls to AI-enabled operational solutions. \nEstablish reusable patterns and coach engineers so AI adoption becomes a team capability rather than a collection of isolated experiments. \nTechnical Leadership & Partnership\nServe as a senior technical leader and change agent without requiring formal people-management responsibility. \nInfluence architecture, tooling, engineering priorities, and operating practices across Cloud Services, R&D, AppOps, and related partners. \nTurn ambiguous operational needs into a clear technical approach, delivery plan, and measurable result. \nMentor engineers through hands-on pairing, technical reviews, troubleshooting sessions, and reusable guidance. \nCommunicate technical findings and recommendations clearly to engineering, operations, product, and leadership audiences. \nParticipate in scheduled daytime on-call coverage as part of a follow-the-sun support model and in off-hours maintenance windows as assigned. \nSuccess Measures\nImproved application-level observability and earlier detection of customer-impacting conditions. \nFaster, more consistent application triage with less dependency on R&D or individual subject matter experts. \nIncreased Cloud Services ownership of release, deployment, validation, and operational-readiness activities. \nReduced avoidable alert noise, recurring incidents, manual release effort, and deployment failures. \nProduction use of AI-enabled operational capabilities with demonstrated adoption and measurable value. \nGreater application and software-delivery depth across the broader Cloud Services engineering team. \nBasic Qualifications:\nBachelor's degree in Computer Science, Software Engineering, Information Technology, or an equivalent combination of education and relevant experience. \n10+ years of experience across software engineering, DevOps, site reliability engineering, application operations, production engineering, or related disciplines. \nExtensive experience supporting enterprise SaaS or distributed microservices applications in production environments. \nStrong software-development or scripting capability and the ability to read, troubleshoot, and improve application code and automation. \nHands-on experience with CI/CD, configuration automation, deployment tooling, source control, and software release practices. \nDemonstrated expertise with application performance monitoring, centralized logging, distributed tracing, alert design, and production diagnostics. \nExperience leading complex incident triage, root cause analysis, and reliability improvements across application and infrastructure boundaries. \nExperience 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. \nAbility to lead through influence, mentor experienced engineers, and deliver meaningful progress in an environment with shared ownership. \nPreferred Qualifications:\nExperience supporting highly available applications and services in on-premises or private-cloud environments. \nExperience with tools such as Datadog, Splunk, Jenkins, Octopus Deploy, Ansible, Terraform, GitHub, or comparable platforms. \nExperience designing operational workflows that use generative AI, AI agents, retrieval-augmented generation, or machine-learning-based analysis. \nFamiliarity with responsible AI practices, including data protection, validation, human oversight, prompt and model risk, and production monitoring. \nExperience with secure, highly available, regulated, or payment-related services. \nExperience with Blue/Green deployment models, automated post-deployment assurance, and production-readiness reviews. \nAbout Entrust\nEntrust 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.\nEntrust Corporation is an equal opportunity employer, including veterans and people with disabilities.\nNO AGENCIES, NO RELOCATION\n#LI-GR1\n#ENT123\nAt Entrust, we don’tjust offer jobs - we offer career journeys. Here is what you can expect when you join our team:\nCareer Growth: Whether you’rea budding developer or a seasoned expert, we’reinvested in your professional journey. With learning-forwardinitiatives and exciting challenges, your growth is our priority.\n\nFlexibility: Life is all about balance. Whether you’reremote, hybrid, or on-site, we offer flexible options that fit your lifestyle.\n\nCollaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.\n\nWe believe in securing identities-but it doesn’tstop there. At Entrust, we’repassionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious biastraining for our leaders to global affinity groups that connect colleagues across the globe, we’recreating a community where everyone is encouraged to be themselves.\nReady to Make an Impact?\nIf you’reexcited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’sbuild a more secure world-together.\nApply today!\nFor more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube\nCompensation Range:\nIn 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. 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