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Sonatype
Sonatype cover picture
Sonatype logo

Sonatype

Founded :
2008
Type :
Product
Size :
500-1000
Stage :
Profitable

About

Joining the team behind the world’s most trusted artifact firewall isn’t just a job - it’s a mission.


🧩 What the Company Does

This company provides software tools to help development teams manage open-source code securely and efficiently. Its platform covers artifact management, automated policy enforcement, vulnerability detection, software bill of materials (SBOM) management, and AI-powered risk analysis. It's used globally by thousands of enterprises and millions of developers to secure their software supply chains.


👥 Founding Team

The company was founded in the late 2000s by a group of open-source contributors, including one who was heavily involved in building a popular Java-based build automation tool. The company was started by veteran engineers with deep roots in the open-source community—one of whom helped create a widely adopted build automation tool used by millions today. 


💰 Funding & Financials

Over the years, the company has raised nearly $150 million across several funding rounds, including a large growth round led by a top-tier private equity firm. It crossed $100 million in annual recurring revenue around 2021 and has remained profitable since. Backers include well-known names in venture capital and private equity.


🏆 Key Milestones & Achievements

  • Early on, the company took over stewardship of a widely used public code repository.
  • It launched tools for artifact repository management and later expanded into automated security and compliance.
  • Has blocked hundreds of thousands of malicious open-source packages and helped companies catch risky components before deployment.
  • Released AI-powered tools that go beyond CVE databases to detect deeper threats.
  • Recognized as a market leader in software composition analysis by major industry analysts.
  • Today, it’s used by many Fortune 100 companies across industries like finance, government, and healthcare.
Read more

Candid answers by the company

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This company helps engineering teams build and ship software securely by automating the detection and blocking of vulnerable or malicious open-source components. Its platform is used by thousands of organizations, including many Fortune 100, to secure their software supply chain, manage dependencies, and ensure clean, compliant code reaches production. With deep roots in the open-source ecosystem, the company has become a trusted name in developer-first security.

Company social profiles

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Jobs at Sonatype

Sonatype
at Sonatype
5 candid answers
Reshika Mendiratta
Posted by Reshika Mendiratta
Hyderabad
8yrs+
Upto ₹35L / yr (Varies
)
skill iconJava
ETL
skill iconSpring Boot
SQL
Spark
+4 more

Who We Are

At Sonatype, we help organizations build better, more secure software by enabling them to understand and control their software supply chains. Our products are trusted by thousands of engineering teams globally, providing critical insights into dependency health, license risk, and software security. We’re passionate about empowering developers—and we back it with data.


The Opportunity

We’re looking for a Data Engineer with full stack expertise to join our growing Data Platform team. This role blends data engineering, microservices, and full-stack development to deliver end-to-end services that power analytics, machine learning, and advanced search across Sonatype.

You will design and build data-driven microservices and workflows using Java, Python, and Spring Batch, implement frontends for data workflows, and deploy everything through CI/CD pipelines into AWS ECS/Fargate. You’ll also ensure services are monitorable, debuggable, and reliable at scale, while clearly documenting designs with Mermaid-based sequence and dataflow diagrams.

This is a hands-on engineering role for someone who thrives at the intersection of data systems, fullstack development, ML, and cloud-native platforms.


What You’ll Do

  • Design, build, and maintain data pipelines, ETL/ELT workflows, and scalable microservices.
  • Development of complex web scraping (Playwright) and realtime pipelines (Kafka/Queues/Flink).
  • Develop end-to-end microservices with backend (Java 5+, Python 5+, Spring Batch 2+) and frontend (React or any).
  • Deploy, publish, and operate services in AWS ECS/Fargate using CI/CD pipelines (Jenkins, GitOps).
  • Architect and optimize data storage models in SQL (MySQL, PostgreSQL) and NoSQL stores.
  • Implement web scraping and external data ingestion pipelines.
  • Enable Databricks and PySpark-based workflows for large-scale analytics.
  • Build advanced data search capabilities (fuzzy matching, vector similarity search, semantic retrieval).
  • Apply ML techniques (scikit-learn, classification algorithms, predictive modeling) to data-driven solutions.
  • Implement observability, debugging, monitoring, and alerting for deployed services.
  • Create Mermaid sequence diagrams, flowcharts, and dataflow diagrams to document system architecture and workflows.
  • Drive best practices in fullstack data service development, including architecture, testing, and documentation.


What We’re Looking For

  • 5+ years of experience as a Data Engineer or a Software Backend engineering role.
  • Strong programming skills in Python, Scala, or JavaHands-on experience with HBase or similar NoSQL columnar stores.
  • Hands-on experience with distributed data systems like Spark, Kafka, or Flink.
  • Proficient in writing complex SQL and optimizing queries for performance.
  • Experience building and maintaining robust ETL/ELT pipelines in production.
  • Familiarity with workflow orchestration tools (Airflow, Dagster, or similar).
  • Understanding of data modeling techniques (star schema, dimensional modeling, etc.).
  • Familiarity with CI/CD pipelines (Jenkins or similar).
  • Ability to visualize and communicate architectures using Mermaid diagrams.


Bonus Points

  • Experience working with Databricks, dbt, Terraform, or Kubernetes
  • Familiarity with streaming data pipelines or real-time processing
  • Exposure to data governance frameworks and tools
  • Experience supporting data products or ML pipelines in production
  • Strong understanding of data privacy, security, and compliance best practices


Why You’ll Love Working Here

  • Data with purpose: Work on problems that directly impact how the world builds secure software
  • Modern tooling: Leverage the best of open-source and cloud-native technologies
  • Collaborative culture: Join a passionate team that values learning, autonomy, and impact
Read more
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