Staff Software Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Set the technical vision for the next generation of the Data Identity team.

• Collaborate with the team lead and product management on multi-quarter architectural strategies.

• Take ownership of the identity data model, which includes coordinating schemas, cross-ecosystem mapping, deduplication, and re-discovery.

• Design and build streaming and batch pipelines utilizing Java, Spark/EMR, HBase, Databricks, and AWS data primitives.

• Drive initiatives for migrations, cost optimization, reliability enhancements, and infrastructure decisions.

• Create stable, versioned data contracts for downstream teams.

• Lead the integration of third-party SBOM feeds, including CycloneDX, VEX, and SPDX.

• Represent Sonatype in technical conversations with vendor engineering teams.

• Investigate AI/ML applications for identity re-discovery, package deduplication, and data quality signals.

• Utilize AI-assisted engineering tools for coding, code review, investigation, and data exploration.

• Oversee alarm triage, SLO discipline, cost management, and incident response.

• Influence peer teams and collaborate effectively with cross-functional stakeholders.

⛳️ Requirements

• 10+ years of professional experience in software engineering.

• 3+ years at a Staff level or equivalent scope of responsibility.

• Extensive experience in data-platform engineering at scale, including both streaming and batch pipelines as well as distributed storage.

• Familiarity with Spark, HBase, Databricks, or similar systems.

• Strong proficiency in Java or a systems programming background that fosters rapid productivity.

• Experience in designing and coordinating cross-team data contracts, schema versioning, and ensuring backward compatibility.

• Hands-on experience with AWS-native technologies such as EMR, S3, SNS, and SQS.

• Ability to navigate ambiguity and engage in vendor-facing technical tasks.

• Working proficiency with AI-assisted engineering tools such as Claude or similar.

• Capability to determine when to use LLMs and classical ML methodologies for data-pipeline challenges.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Background in an agile environment with experience in cross-functional collaboration.

🏝️ Benefits

• Parental leave.

• Participation in diversity and inclusion working groups.

• Flexible working arrangements.

• Paid Volunteer Time Off (VTO).

• Equal-opportunity employer.

• Accommodations for disabilities or special needs.