Principal Cloud Platform Engineer
Verizon · Irving, TX · 1 mo ago
Engineering$121k–$231k/yrFull-time
Verizon invites you to join a community that values daring ideas, continuous learning, and collaborative problem‑solving. As part of the V Team, you’ll help power and empower how people live, work, and play by building innovative, AI‑driven automation solutions.
Responsibilities
- Drive autonomous operations using AI agents for network deployments, health checks, configuration audits, and service assurance.
- Transform static procedure documents into machine‑readable, executable formats for AI agents.
- Consolidate network procedures and workflows into a unified automation platform (ATOM) to increase intelligence and resilience.
- Design and implement closed‑loop service assurance frameworks that leverage real‑time telemetry for proactive remediation.
- Partner with business stakeholders to translate complex use cases (iEN, IP, Transport, Verizon Cloud Platform, 5G Network Functions) into scalable platform capabilities.
- Provide technical leadership for onshore and offshore development teams, guiding complex problem‑solving and innovation.
- Act as a subject‑matter expert collaborating with quality assurance and production support to maintain premium system stability.
- Perform end‑to‑end application development—including design, coding, and testing—using AI tools to optimize delivery and performance.
Qualifications
- Bachelor’s degree or four + years of relevant work experience.
- Six + years of experience in cloud‑native and automation architecture, with full‑stack engineering expertise for resilient, event‑driven orchestration platforms and API‑first automation workflows.
- Proven ability to drive network design and templating through modular, reusable code (e.g., Jinja2, YAML, JSON) to ensure configuration consistency.
- Strong mentorship and collaboration skills, with a track record of exceeding customer expectations.
- Experience with modern CI/CD practices for network infrastructure.
Preferred Qualifications
- Experience developing generative AI solutions and deploying advanced AI agents within a Python ecosystem.
- Hands‑on work with Retrieval‑Augmented Generation (RAG) architectures, vector databases, and LLM prompt engineering for frameworks such as Gemini and Claude.
- Proficiency with agentic frameworks and protocols (LangChain, LangGraph, LangFlow, MCP Servers).
- Practical experience on AWS and GCP.
- Expertise in Python, Linux, and/or JavaScript; advanced Git usage; familiarity with OpenStack, Kubernetes, OpenShift, or Verizon Cloud Platform (VCP) WebScale.
- Database experience with PostgreSQL, MariaDB, or MongoDB.
- Knowledge of next‑generation AI development tools (e.g., Claude Code).
- Startup development methodology experience.
- Experience with GitLab CI/CD or equivalent pipeline architectures.
- Development experience with Vue.js, FastAPI, Django, Flask, Fastify, or Temporal engine.
- Telecom domain expertise in automation, orchestration, and service assurance for wireline and wireless networks, including iEN, IP, Transport, VCP, 5G Network Functions, and related automation platforms (AP, ASPN, ATLAS).
- Certifications in Agentic AI, Machine Learning, or UI/UX design.
Schedule
This hybrid role requires a minimum of three days per week in the office (location set by the manager) and the remainder working from home. The position is scheduled for 40 hours per week.
Benefits
- Medical, dental, and vision coverage
- Short‑ and long‑term disability
- Basic, supplemental, and AD&D life insurance
- Identity theft protection, pet insurance, and group home & auto insurance
- Matched 401(k) savings plan
- Up to 8 paid company holidays and up to 6 personal days per year
- Paid parental leave, adoption assistance, and tuition assistance
- Vacation accrual starting at up to 15 days for new hires, increasing with service
- Potential premium pay (overtime, shift differential, holiday pay, allowances) depending on role
Pay
The salary range for this full‑time position is $120,500.00 – $231,000.00, varying by location, skills, and experience. The role is incentive‑based with the potential to earn additional compensation.