Senior Cloud Solution Architect / Java Technical Architect
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Key Responsibilities
Architecture & Design
- Lead design and architecture activities for wireless provisioning and activation systems.
- Translate business requirements into scalable, secure, and efficient architecture and detailed design specifications.
- Create epic-level cross-functional designs and solution design documents for network service layer initiatives.
- Support the design of systems, components, and infrastructure within the Network Services Layer.
- Develop technology strategies and roadmaps aligned with enterprise goals.
- Provide technical leadership, guidance, and oversight to project teams across new and existing initiatives.
- Collaborate with cross-functional teams to ensure proper implementation of architecture standards and best practices.
- Support development teams throughout the project lifecycle, ensuring architecture alignment.
- Validate technical solutions and ensure system stability, performance, and scalability.
- 8–10 years of experience in solution and technical architecture.
- Strong expertise in:
- Java / J2EE
- Cloud Architecture (AWS, Azure, GCP, or similar)
- Experience with wireless systems, especially provisioning and activation platforms.
- Understanding of network service layer components, integration patterns, and API-driven architectures.
- Proven experience developing architecture roadmaps, technical strategies, and high-level system designs.
- Experience working in telecom/wireless environments.
- Familiarity with large-scale enterprise environments and distributed system design.
- Strong communication and documentation skills.
- Ability to collaborate effectively across technical and non-technical teams.
- Proven leadership in driving architecture decisions and best practices.
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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