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About Company
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Data Science VS Machine Learning VS Artificial Intelligence
Job Overview
Autodesk’s Platform team is seeking a motivated Software Engineer (Java AWS) to join our growing engineering organization. Our ecosystem is built around cloud-native services and modern applications that power Autodesk’s platform capabilities.
In this role, you will contribute to the development and evolution of Autodesk’s cloud data platform while learning to build reliable, scalable software used by millions of customers worldwide. You will work alongside experienced engineers, architects, and product managers and gain hands-on experience with modern cloud technologies and engineering practices.
You will be based in Pune and report to the Manager of Software Development. We offer a flexible hybrid work model.
Roles and Responsibilities
- Participate in the software development lifecycle, including design, implementation, testing, deployment, and maintenance
- Develop, test, troubleshoot, and maintain high-quality software primarily using Java and Spring Boot
- Write clean, maintainable, and well-tested code following established engineering practices
- Work with experienced engineers and architects to understand technical designs and translate requirements into software features
- Contribute to cloud-native services and RESTful APIs running on AWS
- Build automated unit and integration tests to improve software quality and reliability
- Participate in code reviews and incorporate feedback to continuously improve your engineering skills
- Learn and contribute to CI/CD pipelines, cloud infrastructure, monitoring, and production support practices
- Collaborate with team members to diagnose and resolve software defects and production issues
- Contribute ideas that improve engineering practices, developer productivity, and product quality
- Use modern AI-assisted development tools and practices, including code generation, automated reviews, and Spec-Driven Development, with appropriate engineering validation and oversight
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience
- 0 to 2 years of software development experience, including internships, academic projects, open-source contributions, or professional experience
- Good understanding of Java and object-oriented programming concepts
- Understanding of fundamental data structures, algorithms, and software engineering principles
- Familiarity with Spring or Spring Boot, gained through coursework, projects, internships, or professional experience
- Basic understanding of RESTful APIs and web application development.
- Familiarity with relational or NoSQL databases
- Experience using Git or another source-control system
- Understanding of software testing concepts, including unit and integration testing
- Strong analytical, debugging, and problem-solving skills
- Ability and enthusiasm to learn new technologies and work collaboratively in an engineering team
Preferred Qualifications
Experience in the following areas is helpful but not required:
- Exposure to cloud platforms such as AWS, including services such as S3, SQS, DynamoDB, Lambda, or IAM
- Familiarity with microservices and cloud-native application development
- Exposure to Infrastructure as Code tools such as Terraform
- Familiarity with CI/CD concepts and tools
- Experience with shell scripting or Linux development environments
- Exposure to application monitoring, observability, or production support
- Familiarity with Docker or containerized applications
- Exposure to streaming or distributed data technologies such as Apache Flink
- Experience using AI-assisted software development tools
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