JavaWho 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
Minimum Qualifications
- 2+ years of experience as a Data Engineer or a Software Backend engineering role
- Strong programming skills in Python, Scala, or Java
- Hands-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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Sonatype
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.
Candid answers by the company
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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- Experience running LLM evals
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SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
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KEY DELIVERABLES:
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- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
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- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
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JavaIntegration Developer
ROLE TITLE
Integration Developer
ROLE LOCATION(S)
Bangalore/Hyderabad/Chennai/Coimbatore/Noida/Kolkata/Pune/Indore
ROLE SUMMARY
The Integration Developer is a key member of the operations team, responsible for ensuring the smooth integration and functioning of various systems and software within the organization. This role involves technical support, system troubleshooting, performance monitoring, and assisting with the implementation of integration solutions.
ROLE RESPONSIBILITIES
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· Proficient with Azure DevOps (ADO) for version control, CI/CD pipeline implementation, and project management.
· Hands-on experience with RESTful APIs, SOAP services, and file-based integrations using FTP and SFTP protocols.
· Strong analytical and troubleshooting skills for resolving complex integration and system issues.
· Experience in Azure Services, including Azure Service Bus, Azure Kubernetes Service (AKS), Azure Container Apps, and ideally Azure API Management (APIM) is a plus.
· Good understanding of containerization and cloud-native development, with experience in using Docker, Kubernetes, and Azure AKS.
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· Strong background in SQL databases (e.g., T-SQL, Stored Procedures) and working with data in an integration context.
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· Effective communication skills, with the ability to collaborate with technical and non-technical stakeholders.
· Experience working in a fast paced, production support environment with a focus on incident management and resolution.
· Experience in the insurance domain is considered a plus.
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· Bachelor’s degree in Computer Science, Information Technology, or related field.
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ZipLoan is looking out for a strong technology leader of Software Product Engineering, with a Technical Experience of about 12+ years, and hands-on experience in Software Product Development and ownership. You will head our Platform team which will be tasked with building ZipLoan's platform layer along with a set of engineers reporting to you.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon