Java Architect

undefined ago • 10 Years + • Programming

Job Summary

Job Description

We are seeking a Java Architect with strong experience in Java, Spring Boot, Microservices, and React.js to join our team. The ideal candidate will have a proven track record of delivering full-stack solutions in cloud-based environments, particularly AWS. Familiarity with recent AI/ML trends is a plus, indicating a mindset for future-forward development.
Must have:
  • Define and drive the overall architecture for scalable, secure, and high-performance Java-based enterprise applications.
  • Lead the design and governance of microservices architecture.
  • Establish architectural guidelines, standards, and best practices.
  • Collaborate closely with product managers, business stakeholders, and engineering teams to translate business requirements into scalable, technical solutions.
  • Architect cloud-native solutions utilizing AWS services.
  • Oversee integration strategies involving RESTful APIs and asynchronous, event-driven communication across microservices.
  • Drive containerization (Docker) and orchestration (Kubernetes) strategies.
  • Mentor and guide development teams on design patterns, coding standards, and technology adoption.
  • Stay informed on emerging technologies, particularly in AI/ML, and evaluate opportunities to integrate these into existing and future systems.
  • Lead architectural reviews, proof-of-concepts, and technical risk assessments.
  • Define and implement CI/CD pipeline frameworks.
  • Ensure systems comply with security policies, regulatory standards, and operational best practices.
Good to have:
  • Exposure to AI/ML concepts and experience integrating AI services such as OpenAI APIs, AWS AI Services, or TensorFlow Lite.
  • Experience with automated testing frameworks and strategies.
  • Agile/Scrum experience with modern version control tools (Git).
  • Knowledge of security frameworks and cloud governance policies.
Perks:
  • Opportunity to work with modern tech stacks and cloud-native architectures
  • Exposure to AI-driven innovation and R&D initiatives
  • Collaborative and inclusive work culture
  • Competitive compensation and benefits

Job Details

About Us:

P99Soft is a dynamic and forward-thinking IT services company specializing in innovative software solutions for global clients. We focus on delivering scalable, secure, and performance-oriented applications that meet business needs across industries. We’re looking for highly skilled technologists passionate about modern engineering practices and emerging trends.

Job Summary:

We are seeking a Java Architect with strong experience in Java, Spring Boot, Microservices, and React.js to join our team. The ideal candidate will have a proven track record of delivering full-stack solutions in cloud-based environments, particularly AWS. Familiarity with recent AI/ML trends is a plus, indicating a mindset for future-forward development.

Key Responsibilities:

  • Define and drive the overall architecture for scalable, secure, and high-performance Java-based enterprise applications, leveraging Spring Boot and modern front-end technologies such as React.js.
  • Lead the design and governance of microservices architecture, ensuring system robustness, scalability, fault tolerance, and maintainability across distributed systems.
  • Establish architectural guidelines, standards, and best practices to ensure consistent code quality and design coherence across development teams.
  • Collaborate closely with product managers, business stakeholders, and engineering teams to translate business requirements into scalable, technical solutions.
  • Architect cloud-native solutions utilizing AWS services, optimizing for cost-efficiency, performance, security, and resilience.
  • Oversee integration strategies involving RESTful APIs and asynchronous, event-driven communication across microservices.
  • Drive containerization (Docker) and orchestration (Kubernetes) strategies to streamline deployments and enhance scalability.
  • Mentor and guide development teams on design patterns, coding standards, and technology adoption to ensure alignment with architectural vision.
  • Stay informed on emerging technologies, particularly in AI/ML, and evaluate opportunities to integrate these into existing and future systems.
  • Lead architectural reviews, proof-of-concepts, and technical risk assessments.
  • Define and implement CI/CD pipeline frameworks to enable automated, reliable, and rapid software delivery.
  • Ensure systems comply with security policies, regulatory standards, and operational best practices.

Required Skills:

  • Strong expertise in Java (8+) and Spring Boot with proven experience architecting large-scale enterprise applications.
  • Deep understanding of microservices architecture principles, distributed systems, and domain-driven design.
  • Experience designing front-end integration strategies with React.js, Redux, and related technologies.
  • Solid experience with AWS cloud infrastructure and services, including compute, storage, serverless, and API management.
  • Expertise in API design (REST/GraphQL), asynchronous messaging, and event-driven architectures.
  • Strong knowledge of containerization (Docker) and orchestration platforms (Kubernetes).
  • Proven ability to establish and manage CI/CD pipelines in complex environments.
  • Familiarity with relational and NoSQL databases, including data modeling and performance tuning.
  • Excellent communication, leadership, and stakeholder management skills.

Good to Have:

  • Exposure to AI/ML concepts and experience integrating AI services such as OpenAI APIs, AWS AI Services, or TensorFlow Lite.
  • Experience with automated testing frameworks and strategies.
  • Agile/Scrum experience with modern version control tools (Git).
  • Knowledge of security frameworks and cloud governance policies.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Why Join Us?

  • Opportunity to work with modern tech stacks and cloud-native architectures
  • Exposure to AI-driven innovation and R&D initiatives
  • Collaborative and inclusive work culture
  • Competitive compensation and benefits

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