Senior Java Backend Engineer – AI-Augmented Engineering

MPS Group LLC; Bogotá ciudad; Remote; COP 110,279,000 - 127,245,000; Full time

Benefits offered by this job

Remote work

Job summary

We are seeking a Senior Java Backend Engineer to build scalable, production-grade enterprise applications for a large-scale digital transformation project. The role emphasizes Java, Spring Boot, microservices, and cloud-native development with AI-powered tools integrated into the SDLC.

You will work hands-on, collaborating with Product Owners, architects, and stakeholders to translate requirements into robust technical solutions while ensuring performance, security, and reliability across

Qualifications

• 7+ years of hands-on Java backend development experience.
• Strong expertise in Java, Spring Boot, REST APIs and microservices.
• Experience with AWS, Docker, Kubernetes and CI/CD pipelines.
• Experience integrating with APIs and enterprise platforms.
• Familiarity with AI-powered coding tools and modern SDLC practices.

Responsibilities

• Design, develop, and maintain scalable backend applications using Java and microservices.
• Build robust RESTful APIs and enterprise-grade backend services.
• Develop cloud-native solutions with AWS, Kubernetes, Docker and CI/CD pipelines.
• Integrate services with MuleSoft, Kinesis, messaging systems and third-party APIs.
• Apply AI tools to accelerate coding, testing, and documentation while ensuring quality.

Skills

Java

Spring Boot

REST APIs

Microservices

Cloud-native

CI/CD

AI-powered tools

Tools

AWS

Docker

Kubernetes

MuleSoft

Kinesis

Kafka

Job description

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Senior Java Backend Engineer – AI-Augmented Engineering

Full-Time | Remote / Bogotá, Mexico City, Costa Rica, Lima, São Paulo

Remote Duration: Dec 31, 2026 - Potential extension to 2027 Industry: Health Competitive Salary Inclusive Culture Time Zone: CST

About the Role:

We’re looking for a Senior Java Backend Engineer to build scalable, production-grade enterprise applications for a large-scale digital transformation program. This role is strongly focused on Java, Spring Boot, microservices, and cloud-native development, with AI-powered engineering tools integrated into the software development lifecycle.

You’ll work as a hands‑on builder, using tools such as GitHub Copilot, Cursor, Claude Code, and OpenAI Codex to accelerate development, testing, debugging, refactoring, and technical documentation while maintaining high engineering standards.

Your Impact:

• Design, develop, and maintain scalable backend applications using Java, Spring Boot, and microservices architecture.
• Build robust RESTful APIs and backend services supporting enterprise operational workflows.
• Develop cloud-native solutions using AWS, Kubernetes, Docker, and CI/CD pipelines.
• Integrate backend services with enterprise platforms through MuleSoft, Kinesis, messaging systems, and third‑party APIs.
• Use AI-powered development tools throughout the SDLC to accelerate coding, debugging, testing, refactoring, code reviews, and technical documentation.
• Apply AI tools thoughtfully to improve engineering productivity while validating generated code for quality, security, performance, and maintainability.
• Collaborate with Product Owners, architects, and business stakeholders to translate requirements into scalable technical solutions.
• Optimize applications for performance, security, scalability, and reliability.
• Develop and maintain unit, integration, and automated tests to support high-quality releases.
• Participate in technical design discussions, code reviews, and continuous improvement initiatives.
• Troubleshoot production issues and contribute to application modernization and digital transformation initiatives.

Qualifications:

• 7+ years of hands‑on experience in Java backend development.
• Strong expertise in Java, Spring Boot, REST APIs, and microservices.
• Experience developing and supporting enterprise‑scale backend applications.
• Hands‑on experience with AWS, Docker, Kubernetes, and CI/CD pipelines.
• Experience integrating applications with APIs, messaging platforms, or enterprise integration technologies.
• Practical experience using AI-powered software development tools, such as GitHub Copilot, Cursor, Claude Code, or OpenAI Codex.
• Ability to demonstrate how AI tools have been used for code generation, debugging, test creation, refactoring, code reviews, documentation, or developer productivity.
• Strong understanding of software engineering best practices, testing, security, performance, and scalability.
• Strong troubleshooting and problem‑solving skills.
• Excellent written and verbal communication and collaboration skills.

Set Yourself Apart With:

• Experience with MuleSoft, Amazon Kinesis, Kafka, or other messaging/event‑driven platforms.
• Experience integrating with complex enterprise or third‑party vendor systems.
• Experience using AI agents or LLM‑powered tools beyond basic code completion.
• Exposure to AI‑assisted application modernization or large‑scale engineering transformation.
• Experience with cloud‑native architecture and distributed systems.
• Experience supporting production systems in high‑volume or mission‑critical environments.

The pay rate for this position is

• Senior Associate L2 (7+ YoE) USD $26.00/$30.00/hour

The estimated pay rate is based on the candidate’s demonstrated experience, English proficiency, technical assessment results, and overall alignment with the role requirements.

Ready to join a cutting‑edge team?
Submit your application today!