Staff Software Engineer

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Logo of Sonatype

Sonatype

501 - 1000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

💰 $80M Private Equity Round on 2018-09

Cybersecurity • Software • SaaS

Sonatype is a leader in software composition analysis (SCA) and software supply chain management. The company provides solutions to automate software supply chain security, build centralized components, control open source risks, and simplify software bill of materials (SBOM) compliance. Sonatype offers tools such as Nexus Repository, Repository Firewall, Lifecycle, and SBOM Manager, which help developers deliver quality code securely and manage vulnerability risks. Sonatype integrates with numerous tools and languages, supporting dev, security, and ops teams to ensure secure deployments. The company is recognized for its end-to-end software supply chain solutions that leverage artificial intelligence to predict and intercept malicious components, enhancing security across industries such as financial services and technology.

📋 Description

• Set technical direction for the Data Identity team’s next generation • Partner with the team lead and product on multi-quarter architectural decisions • Own the identity data model, including coordinate schemas, cross-ecosystem mapping, deduplication, and re-discovery • Architect streaming and batch pipelines using Java, Spark/EMR, HBase, Databricks, and AWS data primitives • Drive migrations, cost improvements, reliability improvements, and infrastructure choices • Design stable, versioned data contracts for downstream teams • Lead ingestion of third-party SBOM feeds, including CycloneDX, VEX, and SPDX • Represent Sonatype in technical discussions with vendor engineering teams • Explore AI/ML applications for identity re-discovery, package deduplication, and data-quality signals • Use AI-assisted engineering tools for coding, code review, investigation, and data exploration • Lead alarm triage, SLO discipline, cost management, and incident response • Influence peer teams and collaborate with cross-functional stakeholders

🎯 Requirements

• 10+ years of professional software engineering experience • 3+ years at Staff level or equivalent scope • Deep experience with data-platform engineering at scale, including streaming and batch pipelines and distributed storage • Experience with Spark, HBase, Databricks, or comparable systems • Strong Java proficiency or a systems-programming background enabling rapid productivity • Experience designing and coordinating cross-team data contracts, schema versioning, and backward compatibility • AWS-native operating experience with EMR, S3, SNS, and SQS • Comfort with ambiguity and vendor-facing technical work • Working fluency with AI-assisted engineering tools such as Claude or equivalent • Ability to judge when to apply LLMs and classical ML to data-pipeline problems • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience • Experience in an agile environment and cross-functional collaboration

🏖️ Benefits

• Parental leave • Diversity and inclusion working groups • Flexible working practices • Paid Volunteer Time Off (VTO) • Equal-opportunity employer • Disability or special-needs accommodation

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