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Software Engineer, DevOps, Software Architect

Job in Owensboro, Daviess County, Kentucky, 42302, USA
Listing for: Sonatype
Full Time position
Listed on 2026-09-10
Job specializations:
  • Software Development
    Software Engineer, DevOps, Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer

Sonatype is the software supply chain security company. We provide the world's best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale.

Nexus Repository and Maven Central
, the world's largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development.

More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains.

We're looking for a Staff Software Engineer to help lead our Data Identity team --- the upstream data platform that every downstream data-oriented product at Sonatype depends on. If you love solving hard identity and data-modeling problems, thinking at architectural scale, and shaping the direction of a small, high-leverage team, we'd love to hear from you.

About Data Identity

Data Identity is Sonatype's upstream data platform --- the feeder team for every downstream data-oriented team and product nerability intelligence, policy, developer tooling, malware detection, and the rest all start from the identity data we produce: what a package is, what its coordinates mean, which versions exist, how it maps across ecosystems (Maven, npm, PyPI, Go, and beyond), and how it should be joined to security, license, and quality signals.

We operate at supply-chain scale: billions of package observations, streaming ingestion, batch processing, and a growing catalog of commercial-vendor SBOM feeds that must be resolved against the open-source universe. Data warehouse structural desin --- every other data-oriented team feels within a release cycle.

What you'll do:

As a Staff Software Engineer on Data Identity, you'll set technical direction for the team's next generation. You'll be the senior technical voice on the team, partnering with the team lead and product on multi-quarter architectural bets, and the person other Staff engineers reach for when questions about package identity, coordinate modeling, or upstream data contracts land on their desk.

This is a high-leverage seat. Data Identity is small --- about five engineers --- but the blast radius of our decisions is wide.

Key Responsibilities:
  • Own the identity data model. Coordinate schemas, cross-ecosystem mapping, name-based implications, deduplication, and re-discovery are the recurring technical themes of this team. You'll set direction on how they evolve.
  • Architect the streaming and batch pipelines. Our stack sits on Java, Spark/EMR, HBase, Databricks , and AWS data primitives. You'll drive migrations, cost and reliability improvements, and the underlying infrastructure choices.
  • Design the data contracts that downstream teams consume. Schema stability, versioning, and rollout are as much of the job as the pipeline internals --- because breaking a contract means breaking a downstream product.
  • Lead commercial vendor ingestion. Data Identity is Sonatype's front door for third-party SBOM feeds (CycloneDX, VEX, SPDX). You'll represent us in technical conversations with vendor engineering teams, negotiate spec, and translate what they can produce into what our platform can consume.
  • Apply AI where it earns its place in the data. We have real work in identity re-discovery, package deduplication, and data-quality signals where AI/ML techniques should be explored further to measure how viable it may be. This is AI applied to the data itself, not AI as developer tooling.
  • Work with AI-assisted engineering tools every day. Claude and equivalent tools are standard equipment on this team --- for coding, code review, investigation, and data exploration. You're expected to use them well and keep growing your fluency with them as the tooling evolves.
  • Raise…
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