Staff Software Engineer

Sonatype

Staff Software Engineer leading Sonatype’s upstream Data Identity platform for software supply chain security. Architecting large-scale pipelines, data contracts, SBOM ingestion, and AI/ML data solutions.

Posted 8/17/2026full-timeRemote • 🇨🇦 CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data-platform engineering, including architecting streaming and batch pipelines, and managing identity data models. Proficient in leveraging AI-assisted engineering tools and collaborating with cross-functional teams to drive technical direction and improvements.

Highest-signal resume keywords

Data-Platform EngineeringJava ProficiencyAWS Data PrimitivesSpark/EMR ExperienceAI-Assisted Engineering Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Identity ArchitectureStreaming PipelinesBatch PipelinesCross-Team Data ContractsSchema VersioningDeduplication TechniquesIncident ResponseCost ManagementTechnical DirectionDistributed Storage

Soft Skills

CollaborationComfort with AmbiguityInfluencing Peers

Tools & Technologies

HBaseDatabricksAWS EMRAWS S3AWS SNSAWS SQSClaudeCycloneDXVEXSPDX

Industry Keywords

Software EngineeringAgile EnvironmentTechnical DiscussionsVendor EngineeringData Quality Signals

Tech Stack

Tools & technologies

AWSHBaseJavaSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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