Java Developer

Software Engineer (4) - Premium Senior Engineer

Job Description:

Employees in this job function are 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 the software to meet customer requirements.

Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

Key Responsibilities:

Engage with customers to deeply understand their use-cases, pain points, and requirements, showcasing empathy and advocating for user-centric software solutions

Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile) and technologies

Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc.

Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application

Collaborate with cross functional teams like product owners, designers, architects etc.

Define and implement software test strategy, guidelines, policies and processes in line with organization vision, industry regulations and market best practices.

Work on continuously improving performance and optimizing the application and implement new technologies to maximize development efficiency

Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery

Support security practices to safeguard user data including encryption and anonymization.

Create user-friendly and interactive interfaces

Develop and maintain back-end applications like APIs and microservices using server-side languages

Evaluate and incorporate emerging technologies and capabilities to deliver their solutions, and are monitoring and participating in solutions for new stack layers, often involving industry collaboration

Skills Required:

Software Development

Spring Boot

REST APIs

Java

Machine Learning

AWS

Google Cloud Platform

COBOL

Skills Preferred:

Product ManagementJ2EE

Artificial Intelligence & Expert Systems

Jenkins

Experience Required:

Java Development (KEY) 15+ years of hands-on experience in Java (Java 8/11/17+), including Core Java, Spring Boot, Spring Framework, and RESTful API design/development. Strong understanding of object-oriented design, microservices architecture, and enterprise integration patterns.

Experience with build/CI-CD tools (Maven/Gradle, Jenkins, Git) and unit testing frameworks (JUnit, Mockito).

Ability to design, develop, and maintain Java-based services that interface with legacy systems (e.g., via APIs, message queues, or batch integration).

Demonstrated past experience modernizing legacy applications (mainframe, monolithic, or on-prem systems) into cloud-native architectures using Java.

Hands-on experience re-platforming/re-architecting legacy Java or COBOL-based systems into containerized microservices (Docker, Kubernetes).

Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native patterns (12-factor apps, event-driven architecture, serverless where applicable).

Familiarity with strangler-fig pattern, API-led integration, or other legacy-to-cloud migration strategies.

Ability to assess legacy application portfolios and recommend modernization roadmaps (rehost, replatform, refactor, rearchitect).

Experience Preferred:

Practical experience building or integrating Generative AI solutions (e.g., LLM-based applications, RAG pipelines, prompt engineering, embeddings/vector databases).

Familiarity with GenAI frameworks/tools such as LangChain, OpenAI/Azure OpenAI APIs, Hugging Face, or similar.

Experience deploying GenAI capabilities into enterprise applications (chatbots, document summarization, code assistance, data extraction, etc.).

Understanding of responsible AI practices — data privacy, model governance, and output validation in enterprise contexts.

Experience leveraging Gen AI to accelerate cloud-native modernization efforts (e.g., AI-assisted code conversion/refactoring, legacy code comprehension, automated test generation, documentation of undocumented legacy logic).

Familiarity with using GenAI tools to analyze legacy codebases and assist in re-architecting them into cloud-native Java solutions.

Education Required:

Bachelor''s Degree

Education Preferred:

Certification Program

Additional Information:

Program Management: Lead and manage cloud migration projects from initiation through to completion, ensuring timely delivery, 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, including 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 the execution of our PLM cloud migration strategy.

Troubleshoot and resolve migration-related issues, working with technical teams to identify and implement solutions.

Stakeholder Management: Serve as the primary contact for PDOs/ 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.

Risk and Compliance: Must provide deep technical expertise in the integration of PLM systems with other enterprise applications, such as 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 success, document lessons learned and recommend improvements for future projects.

Continuous Improvement: Evaluate and enhance migration processes, tools, and methodologies to improve efficiency and effectiveness. Stay updated with Google Cloud Platform 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