Senior Java Backend Engineer – AI-Augmented Engineering

MPS Group LLC; Bogotá; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

MPS Group LLC is seeking a Senior Java Backend Engineer in Bogotá to design, develop, and maintain scalable backend applications. You will build robust RESTful APIs, implement cloud-native solutions with AWS, Kubernetes, and Docker, and integrate with enterprise platforms while leveraging AI-powered tools to accelerate SDLC activities.

You will collaborate with product owners, architects, and stakeholders to deliver high-quality, secure, and resilient systems for a large-scale digital

Formación

• 7+ years of hands-on Java backend development in enterprise environments.
• Strong expertise in Java, Spring Boot, REST APIs, and microservices.
• Experience with AWS, Docker, Kubernetes, and CI/CD pipelines.
• Experience integrating with APIs, messaging systems, or enterprise platforms.
• Proficiency using AI-powered development tools and validating generated code.

Responsabilidades

• Design, develop, and maintain scalable backend applications using Java, Spring Boot, and microservices.
• Build robust RESTful APIs and backend services supporting enterprise workflows.
• Develop cloud-native solutions using AWS, Kubernetes, Docker, and CI/CD pipelines.
• Integrate backend services with enterprise platforms via MuleSoft, Kinesis, and APIs.
• Use AI-powered tools to accelerate coding, debugging, testing, and documentation.
• Collaborate with product owners and architects to translate requirements into scalable solutions.
• Optimize performance, security, and reliability; develop unit and integration tests.

Conocimientos

Java backend

Spring Boot

REST APIs

Microservices

AWS

Docker

Kubernetes

CI/CD

AI-powered tools

Code reviews

Herramientas

GitHub Copilot

Cursor

Claude Code

OpenAI Codex

Descripción del empleo

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.

Skills & Experience

Must Have

• 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.