AT&T

Principal System Engineer – Enterprise Release and Change Management

AT&T

full-time

Posted on:

Location Type: Office

Location: Dallas • New Jersey, Texas • 🇺🇸 United States

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Salary

💰 $141,300 - $237,400 per year

Job Level

Lead

Tech Stack

CloudITSMPythonServiceNowSQL

About the role

  • Design and deliver enterprise-grade solutions for Release and Change Management within IT Service Management.
  • Drive automation, data driven and AI enabled integration, and process optimization to enhance resilience, accelerate delivery, and ensure service reliability.
  • Focus on transitioning from fragmented, application-specific practices to mature enterprise models by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM processes.
  • Architecture & Design: Build scalable, high-availability systems for standardized RM/CM processes.
  • Integrate automation, AI, and data analytics for efficiency and consistency.
  • Agile & DevOps Enablement: Embed SAFe, Agile, DevOps, and CI/CD principles.
  • Optimize pipelines for rapid, secure deployments.
  • Data and AI-Enabled Release Management Strategy: Transition from fragmented, app-driven practices to a mature enterprise model by embedding data and AI-powered capabilities across solution areas—predictive analytics, automated risk assessment, and intelligent change validation.
  • Requirements & Integration: Translate business needs into technical specifications.
  • Ensure seamless integration with ITSM platforms, cloud services, and infrastructure.
  • Sprint-Based Delivery: Use iterative sprint approach to develop standardized policies and tools, pilot quickly, and scale across the enterprise.
  • Technical Leadership: Guide cross-functional teams, foster innovation, and align solutions with business objectives.
  • Performance & Reliability: Analyze system performance, troubleshoot proactively, and minimize incidents.
  • Benchmark metrics. Building Dashboard for tracking progress and metrics.
  • Governance & Compliance: Standardize RM/CM processes with secure, auditable, and repeatable patterns.
  • Continuous Improvement: Use post-release analytics to refine processes and adopt emerging trends.
  • Documentation & Training: Maintain clear documentation and deliver training on AI-enabled RM/CM strategy to enterprise partners. Mentoring; Drives Culture of Continuous Improvement

Requirements

  • Required 7+ years in Systems Engineering, ITSM, RM/CM
  • Expertise in SAFe, Agile, DevOps, CI/CD, Data Analytics, building Gen AI use cases
  • Experience with AI technologies, Python, SQL, data analytics, Power BI and ITSM tools (e.g., ServiceNow)
  • Modern Enterprise Release Management/Change Management and ITSM
  • Advanced expertise in Excel, PowerPoint, PowerBI
  • Preferred BS/BA in Computer Science
  • Preferred Tools (Modern Release Management processes for Agile and DevOps environments) Jira Align, JSM, Jira Cloud, Git for enterprise RM/CM
  • Relevant certifications (SAFe, Agile, DevOps, AI/ML)
Benefits
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLData AnalyticsAI technologiesPredictive analyticsAutomated risk assessmentIntelligent change validationPerformance analysisProcess optimizationBenchmark metrics
Soft skills
Technical leadershipMentoringFostering innovationContinuous improvementDocumentationTrainingCommunicationCollaborationProblem-solvingAdaptability
Certifications
SAFeAgileDevOpsAI/ML