When you join Verizon
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you will be doing…
Verizon Cloud Platform (VCP) is our directional virtualization infrastructure, supporting critical 4G/5G wireless applications. The infrastructure at the Far Edge is used for deploying 5G applications that power the virtualized 5G VRAN networks. We are seeking a highly skilled and experienced Principal Engineer to lead the development, implementation, and maintenance of advanced automation solutions for our network infrastructure. The ideal candidate will be a senior-level expert in software development, automation, and system architecture, with a proven track record of solving complex technical challenges and driving significant efficiency gains. This role requires a strong background in a variety of technologies, including Python, Ansible, Docker, and experience with cloud-native environments. The Principal Engineer will be instrumental in mentoring junior team members, developing best practices, and shaping the future direction of our automation strategy.
- Designing, developing, and maintaining robust automation solutions using Python and Ansible for network element deployments, upgrades, pre-checks, and post-checks.
- Achieving high automation success rates (90%+) and quantify the impact of solutions on team productivity, efficiency, and speed.
- Driving automation by collaborating with the team on AI efforts to predict, detect, and resolve errors, as well as to automate manual tasks.
- Refactoring existing code to improve agility and adaptability, leveraging various mechanisms including AI to accelerate delivery to production.
- Architecting and managing complex system integrations, ensuring seamless communication between various platforms (e.g., ATLAS, VCPFE, IOP, Conquest CIQ) via API calls.
- Investigating and resolving complex production and lab environment issues, including automation failures, API response timeouts, and infrastructure-level problems.
- Developing and optimize containerized applications using Docker, and streamline deployment processes by leveraging CI/CD principles.
- Acting as a subject matter expert, providing guidance, training, and knowledge transfer to team members on complex technical processes, new tools, and best practices.
- Creating and updating comprehensive technical documentation (MOPs, design documents) to reflect current architecture and processes. Redesign and refactor existing workflows for improved efficiency, scalability, and maintainability.
- Working effectively with cross-functional teams (SI, VRAN, Planning, MP, ATLAS, IOP) to define requirements, troubleshoot issues, and drive project resolutions.
- Leading code reviews to deliver automation solutions without compromising delivery timelines or current production system performance.
What we are looking for…
You'll need to have:
- Bachelor's degree or six or more years of hands-on work experience.
- Extensive experience with Python and Ansible for large-scale automation.
- Hands-on experience with containerization technologies like Docker.
- Experience with PostgreSQL and MongoDB databases, including data migration and querying
- Knowledge of AI tools and its integration into an IDE for code development.
- Exceptional problem-solving and debugging skills.
- Experience with Git for version control and collaborative development.
- Familiarity with CI/CD pipelines and DevOps methodologies.
- Strong communication and interpersonal skills, with the ability to lead discussions and provide clear technical guidance.
- Ability to manage multiple priorities and work effectively in a fast-paced environment.
- Ability to work US Central Standard Time (CST) business hours (8:00 AM to 5:00 PM CT), which corresponds to 6:30 PM to 3:30 AM Indian Standard Time.
Even better if you have one or more of the following:
- Experience with AI/ML concepts and platforms, specifically in integrating large language models (LLMs) via API calls, and Retrieval-Augmented Generation (RAG).
- Knowledge of IP networking, VPNs, DNS, load balancing, and firewalls.
- Monitoring and log management skills (e.g., Elasticsearch, Logstash, Kibana, Grafana, Kafka, Icinga).
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be working
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.