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Solutions Architect

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Sigmaways Inc

2021-12-03 07:32:01

Job location San Carlos, California, United States

Job type: fulltime

Job industry: I.T. & Communications

Job description

As a Solutions Architect, AI-driven Collections (JAVA-stack) you'll work with some of the brightest engineers and technical/product managers while also developing your skills and furthering your career within one of the most innovative and progressive FinTech companies today. You'll assess our current software systems, identify areas for improvement, oversee development teams, and help drive future architectural frameworks.


Responsibilities


  • Determine the best tech solutions to solve the existing business problems.
  • Define features, phases, and solution requirements.
  • Provide specifications according to which the solution is defined, managed, and delivered.
  • Continual research of current and emerging technologies and proposing changes where needed.
  • Providing updates to stakeholders on product development processes, estimates, and plans.
  • Be the technical thought leader of the team, provide necessary guidance and mentorship to team members whenever required.
  • Evolve as subject matter expert and Go-To person for the domain.
  • Strong ability to build relationships with internal leadership at all levels, along with the effective interpersonal, presentation, and communication skills.


Qualifications



  • Bachelor's Degree in Engineering, Information Technology or similar.
  • 8+ years of proven, professional experience as a Solutions Architect (Software Applications) for consumer-facing products.
  • In-depth understanding of coding languages (Java/J2EE ) and frameworks (Spring, SpringBoot, Angular, etc.).
  • Experience with CI/CD technologies and cloud infrastructures such as AWS, Azure, or GCP.
  • In-depth understanding of methodologies/technologies related to artificial intelligence AND 2+ years of working experience in building and/or maintaining AI-driven business-critical applications.
  • Experience with service-oriented architecture (SOA), enterprise SaaS application development, and project management.
  • Experience with big data, stream processing, and front-end technologies.
  • Experience with Machine learning in involving a large volume of data ( TeraBytes +)
  • Experience with multi-tenant SaaS applications is a plus.
  • Experience with financial systems, payment systems and/or credit decisions systems, financial lending domain
  • Must be from Finance background only with AI expertise and knowledge of Collections/Payments/Servicing.

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