Backend Java Engineer - INTL Mexico
Role details
Job location
Tech stack
Job description
Insight Global is helping to their client to identify a staff level, fully remote Backend Java Developer that sits out of Mexico. The engineer owns backend components that support capabilities across the sourcing organization. This includes building foundational platforms used by multiple downstream teams rather than single features. The role involves enabling machine learning systems to move reliably from development into production, including support for deployment, monitoring, and lifecycle workflows. The engineer modernizes and refactors existing Java services as needed to support future scalability. System design responsibilities include ensuring high availability, fault tolerance, performance, and security. The engineer contributes to technical roadmaps, platform evolution, and architectural direction while maintaining strong code quality and testing standards. The role also includes mentoring through collaboration, technical discussion, and example. Success requires operating effectively in a fast-changing environment with high context and minimal day-to-day direction.
This engineer builds and maintains backend Java services that support future AI and machine learning use cases across sourcing. Daily work includes designing platform components, integrating ML outputs into production systems, deploying services to the cloud, and improving reliability and performance. The engineer works independently, partners closely with senior Java and ML engineers, and frequently prototypes new approaches to solve ambiguous problems.
Requirements
- 7+ years of software experience with extensive experience with technology such as Java (versions 11 or greater) HTML, Prometheus, Quarkus, C*, Cassandra, Spring Boot, CSS, and Javascript/Typescript frameworks, an object-oriented programming language (preferably Java), Relational or noSQL database technology, cloud computing techniques, CI/CD tools, modern software design patterns
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Experience bringing ML models to production
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Experience in cloud-based technologies and deployments - Google Cloud Platform (preferred), AWS or Azure
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Experience in effective data modeling with both Relational and NoSQL databases
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Experience with security frameworks for user and services authorization and authentication
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Experience with creating and executing unit, functional, destructive and performance tests
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Experience with modern debugging and root cause analysis techniques
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Experience with version control system
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Experience in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security
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Exposure to developing technical roadmaps including work estimation, refactoring and modernizing legacy systems - Supply Chain Background
-Previously work at the Home Depot
Benefits & conditions
$25/hr to $27/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.