Bangalore, India, India
Onsite
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What you will be doing...
The VCP Far Edge Automation team builds and maintains the automation that manages the full lifecycle of Verizon's virtualized RAN (vRAN) infrastructure — the technology powering the nation's largest, most reliable 5G network. Our automation drives Lifecycle Management (LCM) for vRAN software deployments across Ericsson, Samsung, and Corning vDU platforms, as well as the Far Edge hardware stacks from HPE, ZT Systems, and Dell that run beneath them. The team brings together DevOps engineers and AI engineers to deliver automation solutions end-to-end — from infrastructure pipelines and configuration management to intelligent, AI-driven remediation and tooling.
As a Senior Engineer on this team, you'll be a core contributor — owning the build and maintenance of automation that deploys, configures, upgrades, and heals vRAN infrastructure at national scale.
You'll work closely with the team to take technical direction and deliver reliable automation solutions that the broader team can depend on in production.
Building and maintaining Ansible-based automation for vRAN LCM workflows — including initial deployments, software upgrades, configuration management, and fallout remediation — across Ericsson, Samsung, and Corning vDU platforms.
Developing and maintaining automation for Far Edge hardware lifecycle management covering HPE, ZT Systems, and Dell vRAN server platforms (BIOS, firmware, OS, and driver management).
Writing Python tooling to support automation workflows — REST API integrations, data processing, inventory management, and operational reporting.
Owning CI/CD pipelines that test, validate, and deploy automation code using Jenkins, GitLab CI, or equivalent tools.
Working with databases (PostgreSQL, MySQL, MongoDB) to manage automation state, deployment history, inventory, and run data.
Troubleshooting automation failures across the full stack — from pipeline issues to failed playbooks to vendor API problems — and drive fixes through to resolution.
Participating in code reviews and maintain a high bar for code quality, test coverage, and documentation.
Building and maintaining dashboards and alerting integrations (Grafana, Kibana, Icinga) to track LCM automation health and delivery KPIs.
Maintaining documentation: playbooks, MOPs, design docs, and implementation guides for supported platforms.
Collaborating with operations, planning, and vendor engineering teams to translate network requirements into automation solutions.
What we are looking for…
You'll need to have:
Bachelor's degree or four or more years of hands-on work experience in lieu of degree.
Six or more years of experience in a DevOps, automation engineering, or platform engineering role.
Strong, production-grade Ansible skills — writing roles, playbooks, dynamic inventories, and custom modules.
Strong Python skills — clean, testable, maintainable code used in real automation workflows, not just one-off scripts.
Hands-on database experience — writing queries, managing schemas, and integrating databases into automation pipelines (PostgreSQL, MySQL, or MongoDB).
Solid CI/CD pipeline experience using Jenkins, GitLab CI, or equivalent.
Proficiency in Git-based workflows (Bitbucket, GitLab, or GitHub).
Linux/Unix systems experience with solid Shell scripting skills.
Familiarity with containerization and orchestration (Docker, Kubernetes).
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:
Experience in telecommunications, RAN, vRAN, or virtualized network infrastructure — particularly with vendors like Ericsson, Samsung, Corning, HPE, ZT Systems, or Dell in a network context.
Experience with server hardware lifecycle management (BIOS/firmware upgrades, OS provisioning, driver management) in a data center or edge environment.
Experience with Terraform, Helm, or other IaC tooling beyond Ansible.
REST API development experience — building or integrating APIs as part of automation pipelines.
Monitoring and observability experience (Grafana, Elasticsearch, Kibana, Kafka, Icinga).
Hands-on experience with LLMs or AI agent frameworks — for example, using tools like Claude Code, LangChain, or similar to build AI-assisted automation, accelerate code generation, or prototype agentic workflows.
Experience with OpenStack, VMware, or hybrid cloud environments relevant to NFV/vRAN infrastructure.
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.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.