We are looking for a Java Developer who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying software to meet customer requirements. Full-stack software engineering roles, involving the development of all software components-including user interfaces and server-side applications-also fall within this job function.
Key Responsibilities- Lead and manage cloud migration projects from initiation through completion, ensuring timely delivery and adherence to scope and budget constraints.
- Develop and manage detailed migration plans, including timelines, resource allocation, and risk management strategies.
- Oversee the assessment, planning, and execution of application migrations across infrastructure, data, and application layers.
- Provide technical guidance on cloud architecture, security, and performance best practices.
- Collaborate closely with architects, engineers, product owners, and business stakeholders to support execution of the PLM cloud migration strategy.
- Troubleshoot and resolve migration-related issues by working with technical teams to identify and implement solutions.
- Serve as the primary contact for PDOs and Skill Team SPCOs, providing regular updates on migration progress, risks, and issues.
- Collaborate with business units to understand their requirements and ensure alignment with business goals.
- Provide deep technical expertise in integrating PLM systems with other enterprise applications, including ERP, CRM, and manufacturing systems.
- Identify potential risks and develop strategies to mitigate challenges during the migration process.
- Ensure migrations comply with organizational policies, industry standards, and regulatory requirements.
- Conduct post-migration reviews to assess project success, document lessons learned, and recommend improvements for future projects.
- Evaluate and enhance migration processes, tools, and methodologies to improve efficiency and effectiveness.
- Stay current with GCP updates, industry trends, and emerging technologies to incorporate best practices into migration strategies.
- Share knowledge and mentor team members to build internal expertise and capabilities.
Job Requirements
Details:
Skills Required- Software Development, Spring Boot, REST APIs, Java, Machine Learning, AWS, GCP, COBOL
Skills Preferred- Product Management, J2EE, Artificial Intelligence & Expert Systems, Jenkins
Experience Required- 15+ years of hands-on Java development experience, including Java 8/11/17+, Core Java, Spring Boot, Spring Framework, and RESTful API design and development.
- Strong understanding of object-oriented design, microservices architecture, and enterprise integration patterns.
- Experience with build and CI/CD tools, including Maven or Gradle, Jenkins, and Git.
- Experience with unit testing frameworks such as JUnit and Mockito.
- Ability to design, develop, and maintain Java-based services that interface with legacy systems through APIs, message queues, batch integration, or similar mechanisms.
- Demonstrated experience modernizing legacy applications-including mainframe, monolithic, or on-premises systems-into cloud-native architectures using Java.
- Hands-on experience re-platforming or re-architecting legacy Java- or COBOL-based systems into containerized microservices using technologies such as Docker and Kubernetes.
- Experience with cloud platforms such as AWS, Azure, or GCP, as well as cloud-native patterns including 12-factor applications, event-driven architecture, and serverless technologies where applicable.
- Familiarity with the strangler-fig pattern, API-led integration, and other legacy-to-cloud migration strategies.
- Ability to assess legacy application portfolios and recommend modernization roadmaps, including rehost, replatform, refactor, and rearchitect approaches.
Experience Preferred- Practical experience building or integrating Generative AI solutions, including LLM-based applications, RAG pipelines, prompt engineering, embeddings, and vector databases.
- Familiarity with Generative AI frameworks and tools such as LangChain, OpenAI or Azure OpenAI APIs, Hugging Face, or similar technologies.
- Experience deploying Generative AI capabilities into enterprise applications, including chatbots, document summarization, code assistance, and data extraction solutions.
- Understanding of responsible AI practices, including data privacy, model governance, and output validation in enterprise contexts.
- Experience leveraging Generative AI to accelerate cloud-native modernization efforts, such as AI-assisted code conversion and refactoring, legacy code comprehension, automated test generation, and documentation of undocumented legacy logic.
- Familiarity with using Generative AI tools to analyze legacy codebases and assist in re-architecting them into cloud-native Java solutions.
Education RequiredEducation Preferred**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
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Pay Range:
$ 70.00 - $ 74.00
