TL;DR

Java Software Engineering-Engineer I (Java): Building, deploying, and supporting enterprise-level microservices and containerized applications with an accent on RESTful APIs, Docker, and Kubernetes. Focus on writing comprehensive automated tests, implementing observability solutions, and participating in code reviews.

Location: Remote (Mexico)

Company

%hirify_global% is a global analytics software company helping businesses make better decisions through AI, machine learning, and optimization, especially in credit scoring, fraud detection, and lending.

What you will do

Build, deploy, and support enterprise-level microservices using Java, designing and implementing RESTful APIs while following established patterns and Agile/Scrum best practices.
Develop and deploy containerized applications using Docker and Kubernetes, managing deployments, pods, and services in cloud environments.
Write comprehensive automated tests (unit, integration, API) following Test-Driven Development practices to ensure code quality and reliability.
Implement observability and monitoring solutions for logging, troubleshooting, and performance tracking of distributed systems.
Participate actively in code reviews, maintain JIRA updates, and continuously learn emerging technologies relevant to cloud-native development.

Requirements

Bachelor's/Master's in Computer Science or related discipline (or equivalent experience) with 1-3 years of professional software development experience.
Strong proficiency in Java with solid understanding of object-oriented programming principles and SDLC processes.
Hands-on experience with REST APIs, Kubernetes fundamentals (pods, services, deployments), and Docker containerization; familiarity with API technologies (JSON, XML, SOAP, gRPC, OpenAPI/Swagger).
Experience with version control (Git), CI/CD pipelines (Jenkins), deployment automation for Kubernetes, and knowledge of SQL/NoSQL databases.
Understanding of secure coding practices, authentication/authorization (ACL, RBAC), automated testing frameworks, and ability to collaborate effectively in geographically diverse, fast-paced team environments.

Nice to have

AWS experience.

Culture & Benefits

An inclusive culture reflecting core values like Acting Like an Owner and Delighting Customers.
Opportunity to make an impact and develop professionally through valuable learning experiences.
Highly competitive compensation, benefits, and rewards programs.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events.
Opportunity to develop your career in Big Data analytics, AI, machine learning, and optimization.