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.

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).

Senior Engineering Consultant – DevOps

Key skills