Cloud Application Architect 3

MACHINE LEARNING TECHNOLOGIES LLC; Austin (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Austin, TX seeks an experienced Cloud Application Architect to lead the architecture of enterprise-grade cloud-native solutions. You will design scalable, secure, and high-performance applications that align with business goals and technology strategy.

The role requires deep technical expertise in Java EE, microservices, and modern architectural practices, with a proven track record delivering complex SaaS systems in a distributed environment.

Qualifications

• 10+ years of hands-on Java EE development and ecosystem knowledge.
• Design and evolve enterprise apps with performance and scalability in mind.
• Expertise in microservices architecture and distributed systems.
• Practical use of 12-Factor App principles for SaaS products.
• Proficiency in Domain-Driven Design to model complex domains and enable cross-team communication.
• Solid understanding of design patterns and their real-world applications.

Responsibilities

• Lead the architecture and design of cloud-native applications aligned with business goals.
• Develop the application while applying best practices for scalability, reliability, and maintainability.

Skills

Java EE

Microservices

12-Factor App

DDD

Design patterns

Job description

Job Details

• 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

Job Overview

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.

Job Details

Additional job details and special considerations

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.

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