Remote Software engineering Jobs · Latin America

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Design, develop, and maintain scalable backend solutions that integrate with or extend the Salesforce platform. Work across the full engineering lifecycle, from architecture and coding to testing and deployment, ensuring reliability, maintainability, and security. Collaborate with product, DevOps, and cloud engineering teams, delivering robust solutions using modern engineering practices, cloud services, and Salesforce components.

  • Caylent is seeking an Engineering Manager to join its Cloud Native Applications practice. The candidate will be technically strong, experienced in managing a team of Architects & Engineers, capable of overseeing delivery engagements, and passionate about working with customers, partners, and employees. Responsibilities include:
  • Managing a team of 5-8 cloud engineers and architects.
  • Leading technical discussions with customers and guiding solution direction.
  • Mentoring team members and supporting growth opportunities.

This role involves designing and delivering scalable, high-performance web applications. As a Senior Fullstack React/NodeJS Developer, you will work across both front-end and back-end development, shaping system architecture, implementing best practices, and solving complex technical challenges. You will influence project direction, mentor colleagues, and contribute to innovative solutions. You will collaborate with cross-functional teams while ensuring the performance, scalability, and reliability of the products.

As a Machine Learning Engineer, you will play a crucial role in developing and maintaining discriminative and generative AI models. You will design, train/finetune, and evaluate information retrieval systems capable of handling both structured and unstructured databases. Leveraging historical context and diverse data, you will create innovative models to drive significant business impact.

This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. Continuous learning, personal growth, and hard work are valued, offering a collaborative environment that promotes professional development.

As a Machine Learning Engineer, you will play a crucial role in developing and maintaining discriminative and generative AI models. You will design, train/finetune, and evaluate information retrieval systems capable of handling both structured and unstructured databases. Leveraging historical context and diverse data, you will create innovative models to drive significant business impact.