Software Engineer, Network Inventory & Data Quality

Zayo Group

About The Position

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises. Do you dream of IP addresses and want to build tools for the networks that power the future? Are you passionate about automating repetitive tasks and improving data trust across complex systems? If so, we want you on our team. Zayo is seeking a talented Software Engineer, Network Inventory & Data Quality to join our growing Network Automation team. In this role, you'll be a key player in building, scaling, and automating the next generation of our network tooling infrastructure.

Requirements

Bachelor’s degree in Computer Science, Networking, or related field (or equivalent experience).
Minimum of four (4) years of professional software development experience using Python, JavaScript, SQL, or GraphQL.
Experience working with relational and non-relational databases at scale.
Strong experience building and integrating with RESTful APIs.
Strong understanding of data analysis.
Proven experience delivering and operating production software systems.
Proficiency in Linux environments, Docker, and Kubernetes.

Nice To Haves

Experience applying ML techniques to infer or improve missing or incorrect data.
Experience working with network source-of-truth platforms such as Nautobot or NetBox.
Experience extracting and normalizing data from complex or legacy sources (Network Inventory, PDFs, GIS files).

Responsibilities

Design, build, and maintain innovative software solutions to meet evolving business needs — from UI-level data validation to advanced automation and ML-driven enrichment of missing or incomplete data.
Leverage open-source automation tools and scripting languages to validate human-entered data, increase machine-to-machine communication, and reduce manual data entry.
Solve complex technical and data challenges such as extracting and normalizing variable data from PDFs and other unstructured sources.
Refactor and consolidate existing tools into a cohesive, scalable suite that improves usability and reduces operational friction.
Collaborate with cross-functional partners (DevOps, SRE, Security, Network Engineering, Operations) to ensure secure and reliable systems.
Own features end-to-end through the project lifecycle, delivering high-quality production-ready software.
Stay current on emerging network technologies and automation best practices.
Define, implement, and continuously improve data quality standards for network inventory systems.
Develop and maintain metrics, dashboards, and monitoring to measure inventory data quality.
Partner with stakeholders to identify root causes of data quality issues and drive systemic improvements.