RELX

Full-Stack Engineer

Manila, Philippines
Docker Kubernetes Machine Learning HTML JavaScript Flask SQL Node.js API Django Angular PyTorch Python Git React CSS TensorFlow Azure AWS GCP
Description

We are seeking a results-driven engineer to design, develop, and maintain end-to-end web solutions that support AI and automation initiatives. This role requires expertise in modern front-end and back-end technologies, API integration, and cloud-based infrastructure.

Responsibilities:

  • Develop and maintain scalable front-end applications to support AI and automation projects.
  • Collaborate with data scientists, AI developers, and other engineers to integrate AI models and automation workflows into production systems.
  • Design and implement user-friendly interfaces using modern front-end technologies and frameworks.
  • Ensure the performance, quality, and responsiveness of front-end applications.
  • Develop and maintain back-end services and APIs to facilitate seamless data exchange between different components of the AI and automation ecosystem.
  • Troubleshoot and debug issues across the stack to ensure smooth operation of AI and automation solutions.
  • Stay updated with the latest industry trends and technologies to continuously improve our systems.

Must-Have Qualifications:

  • Bachelor's degree in computer science, Engineering, or a related field.
  • Proven experience as a Front-End, Back-End, or Full-Stack Engineer
  • Proficiency in front-end technologies such as HTML, CSS, JavaScript.
  • Strong knowledge of back-end technologies such as Python.
  • Experience with Django and Flask for web application development.
  • Experience with RESTful API design and implementation
  • Experience with database technologies like SQL, NoSQL, and ORM frameworks.
  • Understanding of version control systems, preferably Git.
  • Understanding of CI/CD pipelines and DevOps practices
  • Knowledge of cybersecurity best practices.

Nice-to-Have Qualifications:

  • Frameworks like React or Angular, Node.js experience is a plus.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of cloud platforms such as Azure, AWS, or Google Cloud
  • Experience with data visualization tools and libraries.

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.

RELX
RELX
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