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Senior Java Software Engineer

Ingrain Systems Inc

Tubarão

Teletrabalho

BRL 431.000 - 594.000

Tempo integral

Ontem
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Resumo da oferta

A technology solutions provider is seeking a skilled Java Backend Developer. This remote role focuses on designing and developing Java applications and deploying them on Azure using containers. Candidates should have strong experience in Kubernetes, Docker, and CI/CD pipelines, and be proficient in Java and Spring Boot. Excellent problem-solving skills and teamwork orientation are essential for this dynamic environment.

Qualificações

  • Proven hands-on experience with Azure Cloud Services, particularly Azure Kubernetes Service (AKS).
  • Strong proficiency in Java, Spring Boot, and Spring Data JPA.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Familiarity with CI / CD tools like Azure DevOps or GitHub Actions.
  • Hands-on experience with Flyway for database migrations and version control.

Responsabilidades

  • Design, develop, and maintain Java-based applications using Spring Boot.
  • Architect and deploy scalable applications on Azure Kubernetes Service (AKS).
  • Utilize Flyway for database version control and migration management.
  • Collaborate with cross-functional teams to deliver end-to-end solutions.
  • Manage CI / CD pipelines using Azure DevOps or GitHub Actions.

Conhecimentos

Java
Spring Boot
Azure Kubernetes Service
Flyway
SQL
Docker
Azure DevOps
GitHub Actions
Jira

Ferramentas

Eclipse
IntelliJ IDEA
MongoDB
Azure SQL
PostgreSQL
JUnit
TestNG
Cucumber
Splunk
New Relic
Descrição da oferta de emprego

Job Title: Java Backend Developer

Location: Remote, Brazil

Region – Hours: Remote, PST working hours

Employment Type: Fulltime

Overview

We are seeking an experienced Azure Cloud Application Developer with a strong background in Java, Spring Boot, Azure Kubernetes Service (AKS), Flyway, and SQL. The role requires designing, developing, and deploying scalable, secure, and high-performance applications on the Microsoft Azure Cloud platform using modern cloud-native architectures, CI / CD pipelines, and containerized environments.

Key Responsibilities
  • Design, develop, and maintain Java-based applications using Spring Boot and related frameworks (10+ years of experience).
  • Architect, implement, and deploy scalable applications on Azure Kubernetes Service (AKS).
  • Utilize Flyway for database version control and migration management.
  • Apply best practices in code quality, performance optimization, and scalability.
  • Collaborate with cross-functional teams (DevOps, QA, data engineering) to deliver end-to-end solutions.
  • Implement and manage CI / CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
  • Monitor, troubleshoot, and optimize applications with observability tools such as Splunk and New Relic.
  • Contribute to architectural discussions, design reviews, and technology selection processes.
  • Support business intelligence and analytics initiatives through high-quality data solutions.
Required Qualifications
  • Proven hands-on experience with Azure Cloud Services, particularly Azure Kubernetes Service (AKS).
  • Strong proficiency in Java, Spring Boot, and Spring Data JPA.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Familiarity with CI / CD tools like Azure DevOps or GitHub Actions.
  • Hands‑on experience with Flyway for database migrations and version control.
  • Excellent analytical, problem‑solving, and collaboration skills.
  • Strong written and verbal communication abilities.
Technical Skills
  • Languages & Frameworks: Java, Spring Boot, Spring Data JPA.
  • Version Control & CI / CD: GitHub, GitHub Actions, Azure DevOps, Jira.
  • Databases: MongoDB, Azure SQL, PostgreSQL.
  • Development Tools: Eclipse, IntelliJ IDEA.
  • Monitoring Tools: Splunk, New Relic.
  • Database Migration: Flyway.
  • Testing Frameworks: JUnit, TestNG, Cucumber.
Preferred Attributes
  • Experience working in agile software development environments.
  • Familiarity with cloud cost optimization and performance tuning.
  • Strong understanding of microservices architecture and API design principles.
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