- Location
- APAC - India - Pune
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- Workday
Description
Position Overview
Autodesk’s Platform team is looking for a Software Engineer (Java & AWS) to join our growing engineering organization. Our team builds cloud-native services and platform capabilities that enable Autodesk products and experiences used by millions of customers worldwide.
In this role, you will design, build, test, deploy, and operate scalable services within Autodesk’s cloud data platform. You will work with modern technologies including Java, Spring Boot, gRPC, AWS, Terraform, and microservices, while collaborating with engineers, architects, and product partners to deliver reliable and secure platform capabilities. You will be based in Pune, India, report to the Manager of Software Development, and work within Autodesk’s flexible hybrid work model.
Responsibilities
Contribute across the complete software development lifecycle, including architecture, design, estimation, implementation, testing, deployment, monitoring, and maintenance
Design and develop reliable, scalable, and maintainable cloud-native services using Java and Spring Boot
Design and implement service-to-service communication using gRPC and RESTful APIs
Build comprehensive automated tests and incorporate quality, security, observability, and operational readiness into the development process
Collaborate with product managers, architects, and engineers to translate business and technical requirements into well-designed product capabilities
Develop and integrate microservices, RESTful APIs, gRPC services, and event-driven systems within a distributed cloud environment
Build and maintain cloud infrastructure using AWS services and Infrastructure as Code, including Terraform
Monitor, troubleshoot, and support production services, contributing to incident resolution, root-cause analysis, and improvements to system reliability
Participate in code and design reviews and contribute to technical discussions and engineering decisions
Continuously improve engineering practices, CI/CD workflows, development processes, and team productivity
Apply software engineering principles and design patterns to create solutions that are extensible, testable, and maintainable
Actively use AI-assisted software development practices and tools as part of the engineering workflow, including Spec-Driven Development, code generation, automated code reviews, test generation, debugging, and developer productivity tools, while maintaining high standards for quality, security, and maintainability
Learn new technologies and share knowledge and engineering best practices across the team
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience
3+ years of professional software development experience, with hands-on experience building production-grade applications using Java
Strong proficiency in Java, including a solid understanding of object-oriented programming, data structures, algorithms, and software engineering fundamentals
Hands-on experience with Spring and Spring Boot for developing production-grade services
Experience designing and developing microservices using gRPC and RESTful APIs
Experience with Protocol Buffers (Protobuf) and service contract design
Experience with AWS and cloud services such as SQS, S3, DynamoDB, IAM, and Lambda, or comparable services
Experience using Terraform or similar Infrastructure as Code technologies
Understanding of distributed systems, asynchronous processing, and scalable cloud application architectures
Experience applying software design patterns, clean-code principles, and engineering best practices
Experience with automated unit, integration, and service-level testing
Experience using Git and working with modern CI/CD pipelines
Hands-on experience using AI-assisted coding and software development tools as part of day-to-day engineering workflows, including code generation, code understanding, testing, debugging, or code review
Ability to effectively use AI-assisted development while applying sound engineering judgment to validate generated code for correctness, security, performance, maintainability, and test coverage
Strong analytical, debugging, and problem-solving skills
Good communication and collaboration skills, with the ability to work effectively in a cross-functional engineering environment
Preferred Qualifications
Experience with Guice, including dependency injection and building modular Java applications
Experience building, deploying, monitoring, and operating large-scale SaaS applications
Experience with Apache Flink or other stream-processing technologies
Experience with event-driven architectures and asynchronous messaging systems
Experience designing and operating high-throughput, low-latency gRPC services in distributed environments
Familiarity with observability practices, including application metrics, logging, tracing, alerting, and production troubleshooting
Experience with performance and load-testing tools such as BlazeMeter or similar technologies
Familiarity with shell scripting and engineering automation
Experience working across multiple Git repositories and shared platform services
Familiarity with secure cloud-development practices, IAM, and designing highly available and resilient services
#LI-AC3
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Autodesk has always valued flexibility in how we work. We continue to provide employees flexibility to support their work preferences wherever possible and nearly all roles are hybrid or remote, unless otherwise indicated.