Backend Architect – Cloud-Native Java Applications

Mogi I/O : OTT/Podcast/Short Video Apps for you

West Hollywood (CA)

Hybrid

USD 130,000 - 145,000

Full time

14 days+

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Job summary

A leading technology consulting firm is seeking a Backend Architect specializing in cloud-native Java applications. This role involves designing and developing scalable backend systems and microservices on AWS. The ideal candidate will have extensive experience in Java and microservices architecture, along with a strong understanding of AWS services. Collaboration with cross-functional teams is crucial to ensure high-performance and reliable applications. The position offers a full-time hybrid work environment, requiring robust problem-solving and communication skills.

Qualifications

  • 8+ years of experience in software development with a focus on backend applications.
  • Strong proficiency in designing microservices and cloud-native systems.
  • Experience with AWS infrastructure and services.

Responsibilities

  • Design, develop, and maintain microservices-based backend applications.
  • Develop and manage AWS services including DynamoDB and S3.
  • Create and optimize RESTful APIs ensuring scalability and security.

Skills

Java (v11, v17, v21)
Microservices architecture
Spring Boot
AWS services
CI/CD tools (Kubernetes, Jenkins)
Communication skills

Tools

Kubernetes
Docker
Jenkins
GitHub
Spinnaker

Job description

Backend Architect – Cloud-Native Java Applications

Location: USA – LA, NY, Orlando, Santa Monica, Seattle, SFO, NJ

Work Type: Full-Time / Onsite Hybrid

Experience Required: 8 – 15 Years

Compensation: USD 130,000 – 145,000 (based on experience and skill depth)

Job Overview

A leading technology consulting and solutions organization is seeking an Associate Technical Architect – Java to design, develop, and maintain scalable backend systems and microservices deployed on AWS environments. This role requires deep hands‑on expertise in modern Java, microservices architecture, cloud‑native systems, and CI/CD automation. The ideal candidate will work closely with multiple stakeholders to ensure delivery of high‑performing, secure, and reliable applications while adhering to enterprise architecture guidelines.

Key Responsibilities
  • Architecture & Development: Design, develop, and maintain microservices‑based backend applications using Java, Spring Framework, and Spring Boot.
  • Cloud Engineering: Develop and manage AWS services including DynamoDB, S3, Lambda, IAM, and EKS clusters.
  • API Design: Create and optimize RESTful APIs ensuring scalability, reusability, and security across applications.
  • Application Performance: Ensure scalability, responsiveness, and reliability of backend systems.
  • Solution Alignment: Collaborate with cross‑functional teams to translate technical requirements into solution architectures.
  • DevOps & Automation: Implement CI/CD pipelines using Kubernetes, Jenkins, GitHub, and Spinnaker for continuous deployment.
  • Best Practices: Apply coding standards, architectural patterns, and design best practices for maintainability.
  • Continuous Learning: Stay updated with the latest advancements in backend frameworks, programming languages, and AWS services.
Must-Have Requirements
  • Strong proficiency in Java (v11, v17, v21) with understanding of modern features and performance optimization.
  • Solid experience with microservices architecture using Spring Boot and Spring Framework.
  • Familiarity with design and architectural patterns for scalable distributed applications.
  • Experience with AWS services (DynamoDB, S3, Lambda, IAM, EKS).
  • Hands‑on experience with CI/CD tools such as Kubernetes, Jenkins, GitHub, and Spinnaker.
  • Strong understanding of both NoSQL (DynamoDB) and relational databases.
  • Working knowledge of Scala programming language.
  • Excellent communication, collaboration, and problem‑solving skills.
Nice‑to‑Have Skills
  • Experience with Docker, Kafka, and Datadog for monitoring and container orchestration.
  • Proven ability to deploy applications on AWS using EKS and other DevOps tools.
  • Exposure to microservices scaling and performance tuning in production environments.
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