Java Empleos en Gilbert az

Job Description

Position Summary

We are seeking a Senior Backend Engineer - Java with strong experience in designing and building scalable, secure, and high-performance enterprise applications. This role is ideal for a hands-on engineer with deep expertise in Core Java, Spring Boot, microservices, distributed systems, cloud platforms, APIs, and data engineering integration.

The ideal candidate will have extensive experience building backend systems for domains such as financial services, payments, telecom, analytics, and property management, and will be comfortable working in modern Agile environments with CI/CD, containerization, and cloud-native architectures.

Key Responsibilities

• Design, develop, and maintain enterprise-grade backend applications using Java, J2EE, Spring Boot, and Spring Framework.
• Build and support scalable microservices using Java 8/11/17/21, Spring Boot, Spring Cloud, Spring Security, Spring Batch, and Spring AOP.
• Develop and maintain RESTful APIs and GraphQL APIs to support web, mobile, analytics, and enterprise platforms.
• Design robust distributed system architectures with service discovery, load balancing, and fault tolerance using technologies such as Eureka, Ribbon, and Hystrix.
• Build event-driven and asynchronous processing solutions using Apache Kafka, Kafka Streams, JMS, ActiveMQ, and RabbitMQ.
• Design and optimize database schemas, queries, and partitioning strategies across Oracle, PostgreSQL, MySQL, Amazon Aurora, MongoDB, Cassandra, Redis, and Snowflake.
• Collaborate with architects, product managers, and frontend teams to deliver integrated end-to-end solutions.
• Implement secure application patterns including authentication, authorization, API protection, and secure coding practices.
• Deploy and manage cloud-native services on AWS, Azure, and GCP, using tools and services such as:AWS: EC2, RDS, Aurora, S3, IAMAzure: AKS, Azure Functions, Event Grid, Logic Apps, Blob Storage, Cosmos DB, Azure MonitorGCP: Pub/Sub, Dataflow, BigQuery, GKE, Cloud Run, Vertex AI
• Containerize applications using Docker and manage orchestration with Kubernetes and Helm.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline.
• Ensure software quality through automated testing using JUnit, Mockito, Selenium, Cucumber, and Postman.
• Support observability, troubleshooting, and performance tuning using structured logging, monitoring, and debugging tools.
• Participate in code reviews, sprint planning, backlog refinement, and technical documentation.
• Mentor junior developers and contribute to engineering best practices, architecture standards, and reusable frameworks.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10+ years of experience in backend or full stack enterprise application development with strong backend focus.
• Deep expertise in Core Java and J2EE including Servlets, JDBC, JPA, Hibernate, and Spring Framework.
• Strong experience with Spring Boot, microservices architecture, and distributed systems design.
• Proven experience building REST APIs, GraphQL APIs, and backend integration services.
• Strong experience with relational and non-relational databases.
• Hands-on experience with messaging, streaming, and event-driven systems.
• Strong understanding of cloud-native development across AWS, Azure, and/or GCP.
• Experience with Docker, Kubernetes, Helm, and infrastructure automation tools such as Terraform, CloudFormation, or Ansible.
• Proficiency with Git-based version control, branching strategies, pull requests, and collaborative development workflows.
• Experience working in Agile/Scrum environments using JIRA, Rally, and Confluence.
• Strong problem-solving, analytical, and communication skills.
• Proven ability to troubleshoot and optimize high-volume, distributed enterprise systems.

Preferred Qualifications

• Experience in financial services, banking, payments, fraud risk analytics, telecom, or property management.
• Exposure to frontend frameworks such as Angular or React for effective collaboration across full stack teams.
• Experience integrating backend platforms with analytics and reporting systems.
• Familiarity with server-side rendering, lazy loading, and performance optimization techniques in full stack environments.
• Experience using AI-assisted development tools such as GitHub Copilot or IntelliJ Copilot to accelerate engineering productivity.

Technical Skills

Languages & Frameworks:
Java 8/11/17/21, J2EE, Spring Boot, Spring Framework, Spring Cloud, Spring Security, Spring Batch, Spring AOP, Apache Camel

API & Integration:
REST, GraphQL, Apache Camel, JMS, Kafka, Kafka Streams, ActiveMQ, RabbitMQ

Databases & Storage:
Oracle 11g, PostgreSQL, MySQL, Amazon Aurora, MongoDB, Cassandra, Redis, Snowflake

Cloud & DevOps:
AWS, Azure, GCP, Docker, Kubernetes, Helm, Terraform, CloudFormation, Ansible, Jenkins, GitHub Actions, AWS CodePipeline

Testing & Quality:
JUnit, Mockito, Selenium, Cucumber, Postman

Tools & Collaboration:
Git, Bitbucket, JIRA, Rally, Confluence

What Success Looks Like

• Delivering reliable, scalable, and secure backend services
• Improving system performance, resiliency, and observability
• Enabling faster releases through automation and CI/CD
• Driving strong engineering practices across architecture, code quality, and deployment
• Collaborating effectively across product, architecture, DevOps, and frontend teams

Job Requirements

Position Summary

We are seeking a Senior Backend Engineer - Java with strong experience in designing and building scalable, secure, and high-performance enterprise applications. This role is ideal for a hands-on engineer with deep expertise in Core Java, Spring Boot, microservices, distributed systems, cloud platforms, APIs, and data engineering integration.

The ideal candidate will have extensive experience building backend systems for domains such as financial services, payments, telecom, analytics, and property management, and will be comfortable working in modern Agile environments with CI/CD, containerization, and cloud-native architectures.

Key Responsibilities

• Design, develop, and maintain enterprise-grade backend applications using Java, J2EE, Spring Boot, and Spring Framework.
• Build and support scalable microservices using Java 8/11/17/21, Spring Boot, Spring Cloud, Spring Security, Spring Batch, and Spring AOP.
• Develop and maintain RESTful APIs and GraphQL APIs to support web, mobile, analytics, and enterprise platforms.
• Design robust distributed system architectures with service discovery, load balancing, and fault tolerance using technologies such as Eureka, Ribbon, and Hystrix.
• Build event-driven and asynchronous processing solutions using Apache Kafka, Kafka Streams, JMS, ActiveMQ, and RabbitMQ.
• Design and optimize database schemas, queries, and partitioning strategies across Oracle, PostgreSQL, MySQL, Amazon Aurora, MongoDB, Cassandra, Redis, and Snowflake.
• Collaborate with architects, product managers, and frontend teams to deliver integrated end-to-end solutions.
• Implement secure application patterns including authentication, authorization, API protection, and secure coding practices.
• Deploy and manage cloud-native services on AWS, Azure, and GCP, using tools and services such as:AWS: EC2, RDS, Aurora, S3, IAMAzure: AKS, Azure Functions, Event Grid, Logic Apps, Blob Storage, Cosmos DB, Azure MonitorGCP: Pub/Sub, Dataflow, BigQuery, GKE, Cloud Run, Vertex AI
• Containerize applications using Docker and manage orchestration with Kubernetes and Helm.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline.
• Ensure software quality through automated testing using JUnit, Mockito, Selenium, Cucumber, and Postman.
• Support observability, troubleshooting, and performance tuning using structured logging, monitoring, and debugging tools.
• Participate in code reviews, sprint planning, backlog refinement, and technical documentation.
• Mentor junior developers and contribute to engineering best practices, architecture standards, and reusable frameworks.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10+ years of experience in backend or full stack enterprise application development with strong backend focus.
• Deep expertise in Core Java and J2EE including Servlets, JDBC, JPA, Hibernate, and Spring Framework.
• Strong experience with Spring Boot, microservices architecture, and distributed systems design.
• Proven experience building REST APIs, GraphQL APIs, and backend integration services.
• Strong experience with relational and non-relational databases.
• Hands-on experience with messaging, streaming, and event-driven systems.
• Strong understanding of cloud-native development across AWS, Azure, and/or GCP.
• Experience with Docker, Kubernetes, Helm, and infrastructure automation tools such as Terraform, CloudFormation, or Ansible.
• Proficiency with Git-based version control, branching strategies, pull requests, and collaborative development workflows.
• Experience working in Agile/Scrum environments using JIRA, Rally, and Confluence.
• Strong problem-solving, analytical, and communication skills.
• Proven ability to troubleshoot and optimize high-volume, distributed enterprise systems.

Preferred Qualifications

• Experience in financial services, banking, payments, fraud risk analytics, telecom, or property management.
• Exposure to frontend frameworks such as Angular or React for effective collaboration across full stack teams.
• Experience integrating backend platforms with analytics and reporting systems.
• Familiarity with server-side rendering, lazy loading, and performance optimization techniques in full stack environments.
• Experience using AI-assisted development tools such as GitHub Copilot or IntelliJ Copilot to accelerate engineering productivity.

Technical Skills

Languages & Frameworks:
Java 8/11/17/21, J2EE, Spring Boot, Spring Framework, Spring Cloud, Spring Security, Spring Batch, Spring AOP, Apache Camel

API & Integration:
REST, GraphQL, Apache Camel, JMS, Kafka, Kafka Streams, ActiveMQ, RabbitMQ

Databases & Storage:
Oracle 11g, PostgreSQL, MySQL, Amazon Aurora, MongoDB, Cassandra, Redis, Snowflake

Cloud & DevOps:
AWS, Azure, GCP, Docker, Kubernetes, Helm, Terraform, CloudFormation, Ansible, Jenkins, GitHub Actions, AWS CodePipeline

Testing & Quality:
JUnit, Mockito, Selenium, Cucumber, Postman

Tools & Collaboration:
Git, Bitbucket, JIRA, Rally, Confluence

What Success Looks Like

• Delivering reliable, scalable, and secure backend services
• Improving system performance, resiliency, and observability
• Enabling faster releases through automation and CI/CD
• Driving strong engineering practices across architecture, code quality, and deployment
• Collaborating effectively across product, architecture, DevOps, and frontend teams