Back End Developer

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*** No third parties or 3rd party candidates. Must start as our W2 employee and hold either a Green Card or H4 Visa or be a U.S. Citizen***

🌎

Location:

mostly remote with occasional in-office @ One Market in SF (Embarcadero)

📆 Contract duration: 6 months initially with likely extension(s)

💝 Health:
Medical, Dental, and Vision plans are available. We contribute $250/month towards your medical premium when you choose one of our employee-sponsored plans (Kaiser or Blue Shield)

Autodesk (NASDAQ: ADSK) makes software for people who make things. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything. Learn more @

Must have:

2. AWS

3. Power BI or other dashboarding tool

4. AI/ML experience

We are looking for a skilled Java and AWS developer with strong expertise in backend technologies data analytics using Power BI, and hands-on experience in Artificial Intelligence (AI) and Machine Learning (ML). the Ideal candidate will design and develop scalable backend systems, build robust APIs, and support data driven decision-making through AI/ML integration and business intelligence reports.

Responsibilities

• Design, develop and maintain scalable backend applications using JAVA, Spring Boot, Spring MVC etc.,

• Build RESTful APIs and microservices architecture.

• Build applications microservices from end-to-end, manage from your local machine all the way production

• Integrate third-party APIs and enterprise systems.

• Ensure application performance, security, and scalability.

• Participate in code review and follow best development practices.

• Build new features, with unit and feature tests, that can support our growing user base

• Build scalable and complex ETL web applications and platforms that support efficient data movements across systems.

• Expert knowledge of Cloud based technologies

• Evaluate current software architecture and implement enhancements as required

• Help develop and maintain high quality code by pairing in a TDD process with senior tech leads

• Build and scale automated testing infrastructure to support rapid hands-off QA

• Cross-team collaboration and coordination to ensure reliable, secure, available, and scalable releases

• Expert ability to work independently and manage one’s time

Minimum Qualifications

• 7+ Experience in Java, J2EE, Collections, Java-Multithreading model, JDBC

• 2+ Experience in Spring boot, Spring batch, Spring Integration, Spring cloud, JPA, Hibernate etc.

• 2+ years of experience with Spring Boot micro services architecture and REST services

• Extended experience with building APIs using RESTful, SOAP (consuming or creating), supporting JSON and XML.

• Experience with AWS RDS, AWS No

Sql DB, AWS Lambda.

• Experience with SQL and No

SQL based solutions

• Working knowledge of creating data ingestion architectures including streaming and batch processing

• Experience with AWS, Jenkins, Maven, and CI/CD practices

• Ability to lead technical architecture discussions and help drive technical decisions

• Experience in writing APIs with ability to write clear, consistent, simple to use interfaces

• Design and develop interactive power BI dashboards and reports.

• Connect power BI with multiple data sources (APIs, could databases etc.,)

• Translate business requirements into meaningful visual insights.

• Maintain data integrity and ensure accurate reporting.

• Experience in writing coverage unit testing

• Experience in Agile Methodology of development.

• Experience SSL protocols and data encryption

• Familiarity with containerized platforms such as Docker, Kubernetes etc.

• Passionate about code quality and CD/CI

• Develop and deploy machine learning models for predictive analytics and business insights.

• Implement data preprocessing, feature engineering, and model evaluation.

• Integrate ML models into SAP and Java-based applications.

• Collaborate with data engineers and analysts to improve AI driven solutions.