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# OSS Java Architect

- **Company:** Infosys
- **Location:** Alpharetta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Software Design Patterns, Django Web Framework, Github, Information Systems Security Architecture Professional, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, MongoDB, MySQL, NoSQL, NumPy, OAuth, Oracle (Applications), RabbitMQ, Redis, JSON Web Token, Secure Coding, Software Requirements Analysis, Solution Deployment Descriptor, Data Processing, Flask (Web Framework), Backend, Fastapi, Pandas, Build Management, Containerization, Gitlab-ci, Solid Principles, Kubernetes, Deployment Automation, Cassandra, Apache Kafka, Graphql, Domain Driven Design, Data Pipelines, Docker, Jenkins
- **Published:** August 30, 2026
- **Apply:** https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2251023

## About the Role

The ability to analyse, design, and develop scalable and secure architectures.
A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.
Understanding of integration methodologies, proof-of-concept validation and deployment strategies.
The ability to document architectural frameworks and solutions.
Proactive communication with internal teams and clients, ensuring alignment with business objectives.
A knack to keep with up technical advancements to ensure relevant and effective recommendations.
The ability to maintain standards and ensure smooth transition through knowledge transfer, Expert-level Java (Java 11/17+), Spring Boot, Spring Cloud, Hibernate/JPA
Strong experience with microservices architecture, REST/GraphQL APIs, and messaging systems (Kafka, RabbitMQ)
Deep understanding of design patterns, SOLID principles, and domain-driven design (DDD)
Proficient in Python for scripting, automation, data processing, or backend services (Flask/FastAPI/Django)
Experience integrating Python-based tools/services (e.g., data pipelines, ML inference services) with Java systems
Familiarity with Python libraries such as Pandas, NumPy, or relevant automation/testing frameworks is a plus, Strong grasp of cloud platforms (AWS, Azure, or GCP) and cloud-native design principles
Experience with containerization and orchestration (Docker, Kubernetes)
Proficiency with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
Knowledge of databases - both relational (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB, Cassandra, Redis)
Understanding of security best practices (OAuth2, JWT, encryption, secure coding), * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

 * This position may require relocation and/or travel to work/project location.
 * All applicants authorized to work in the United States are encouraged to apply.

## Description

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below:

Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository


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