PLM Tech Cloud Engineer

We are seeking a highly skilled and passionate Full Stack Lead to join our growing team. This role is ideal for someone with significant hands-on experience developing ,deploying and migrating applications on Google Cloud Platform (GCP) , coupled with experience in integrating and utilizing Generative AI technologies. You will be responsible for building and maintaining scalable, reliable, and innovative solutions across the full stack, leveraging GCP services and GenAI models to drive business value. You should be comfortable working in a fast-paced environment, collaborating with cross-functional teams, and taking ownership of projects from conception to deployment.

• Full Stack Development: Design, develop, test, and deploy high-quality, scalable web applications using modern front-end and back-end technologies.
• API Development: Design and develop RESTful APIs for internal and external consumption, ensuring security and performance.

• GCP Cloud Migration – Must have Application migration experience to GCP,  Design and implement robust and scalable solutions on Google Cloud Platform (GCP), utilizing services such as Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, and Kubernetes Engine (GKE), Openshift CaaS
• DevOps Practices: Participate in CI/CD pipeline development and automation. Implement infrastructure as code (IaC) using tools like Terraform. Monitor application performance and troubleshoot issues.
• Code Quality & Testing: Write clean, well-documented, and testable code. Participate in code reviews and implement automated testing strategies.
• Collaboration & Communication: Work closely with product managers, designers, data scientists, and other developers to define requirements, design solutions, and deliver high-quality products. Communicate effectively with both technical and non-technical stakeholders. Interact with the FBS Ford IT teams in development, migration and Support

Understand and Collaborate with Dev enablement/ITO/Engineering teams for support and adherence to Ford IT’s architecture standards and processes within department as appropriate

• Security: Implement security best practices throughout the development lifecycle, ensuring applications are secure and compliant.
• Continuous Learning: Stay up-to-date with the latest trends and technologies in full-stack development, GCP, and Generative AI.
• Generative AI Integration: Integrate Generative AI models (e.g., LLMs, RAG Framework) into applications to enhance user experiences, automate tasks, and generate insights. Build accelerators for Large scale migrations using GenAI

Qualifications:

• Experience: 8+ years of professional experience as a Full Stack Engineer.
  Ability to drive the Transformation program across Teams. 

Education: Bachelor’s degree in computer science or a related field

Technical Skills:

Must have

• Front-End: Proficiency in at least one modern front-end framework (e.g., React, Angular). Strong understanding of HTML, CSS, and JavaScript.
• Back-End: Knowledge on multiple backend technologies and Proficiency in at least one back-end language (e.g., , Java, Node.js, Python). Experience with web frameworks (e.g. Spring Boot).
• Experience in Enterprise SSO technologies like ADFS, SAML and Cloud based Securities
• Expertise in Source Control Repositories (GitHub/Others) and Build Tools like ANT, Gradle/ Maven
• Cloud: Extensive hands-on experience with Google Cloud Platform (GCP) services, including Cloud run, App Engine, Cloud Functions, Cloud Storage, Cloud SQL, BigQuery, Kubernetes Engine (GKE), and openshift CaaS.

Strong Experience in troubleshooting during Migrating application to GCP Platform & resolve complex application challenges/issues

Technical consulting ability to guide & handle the Application team

• Databases: Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB).
• APIs: Experience designing and developing RESTful APIs.
• Strong Experience in troubleshooting during Migrating application to GCP Platform & resolve complex application challenges/issues
• Technical consulting ability to guide & handle the Application team
   
• Certification Requirements (either of one):
• Google Cloud Certified Professional Cloud Architect
• Google Cloud Certified Professional Cloud Developer
• Other relevant GCP certifications

Good to have (Preferable) –     

• Generative AI and Agent AI : Experience working with Generative AI models (e.g., LLMs,) and frameworks (e.g.,langchain, hugging face). Understanding of AI/ML concepts (e.g., training, fine-tuning, RAG). Understanding of Agent AI. 
• DevOps: Experience with CI/CD pipelines, infrastructure as code (Terraform), and containerization (Docker, Kubernetes). Experiece with Foosa, Chekmarx , SonarQube.
   

Soft Skills:

• Communication: Excellent written and verbal communication skills. Ability to clearly articulate technical concepts to both technical and non-technical audiences.
• Collaboration: Strong teamwork and collaboration skills. Ability to work effectively with cross-functional teams.
• Problem-Solving: Strong analytical and problem-solving skills. Ability to identify and resolve complex technical issues.
• Adaptability: Ability to learn quickly and adapt to new technologies and changing priorities.
• Ownership: Ability to take ownership of projects and drive them to completion.

Initiative: Proactive and self-motivated. Ability to identify opportunities for improvement and take action