Senior Cloud Application Architect — SaaS & Microservices

MACHINE LEARNING TECHNOLOGIES LLC; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a seasoned Cloud Application Architect 3 to lead the design of cloud-native applications in Austin, TX. The ideal candidate will have over 10 years of Java EE experience and a strong background in microservice architecture.

This role involves collaborating with stakeholders to develop robust technical solutions, ensuring scalability and maintainability while adhering to business objectives. Candidates will also implement modern architectural principles.

Qualifications

• 10+ years of hands-on experience in Java EE development.
• Expertise in microservice architecture.
• Solid understanding of modern architectural principles.

Responsibilities

• Lead the architecture and design of cloud-native applications.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Implement best practices for scalability, reliability, and maintainability.

Skills

Java EE development

Microservice architecture

Domain-Driven Design (DDD)

Design patterns

Job description

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Job Description

Job Overview

• Job ID:
  
  

J52498

• Job Title:
  
  

Cloud Application Architect 3

• Location:
  
  

Austin, TX

• Duration:
  
  

24 Months + Extension

• Hourly Rate:
  
  

Depending on Experience (DOE)

• Work Authorization:
  
  

US Citizen, Green Card, OPT-EAD, CPT, H-1B,

H4-EAD, L2-EAD, GC-EAD

• Client:
  
  

To Be Discussed Later

• Employment Type:
  
  

W-2, 1099, C2C

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Job Details

Additional job details and special considerations

Experienced Cloud Application Architect with a proven track record of designing and delivering enterprise-grade solutions. The ideal candidate will bring deep technical expertise and strategic vision to architect scalable, secure, and high-performance applications in a cloud-native environment.

Key Qualifications

• 10+ years of hands-on experience in Java EE development, with a strong grasp of its ecosystem, frameworks, and best practices.
• Demonstrated ability to design and evolve enterprise-level applications that meet rigorous performance and scalability requirements.
• Expertise in microservice architecture, including the design and implementation of distributed systems.
• Solid understanding of modern architectural principles, with practical experience applying the 12-Factor App methodology for building SaaS applications.
• Proficiency in Domain-Driven Design (DDD) to model complex business domains and facilitate clear communication between technical and business teams.
• Comprehensive knowledge of design patterns and their application in real-world scenarios.
  
  

Role Responsibilities

• Lead the architecture and design of cloud-native applications, ensuring alignment with business objectives and technical standards.
• Work on development of the application while implementing best practices for scalability, reliability, and maintainability.
  
  

Collaborate with stakeholders to translate business requirements into robust technical solutions

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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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