Cloud Solutions Architect – Rapid Innovation Team
| Company | |
|---|---|
| Location | Washington, DC, USA, Reston, VA, USA |
| Salary | $147000 – $216000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in customer-facing services focused on translating enterprise customer needs into cloud solutions.
- Experience as an architect or software development engineer in cloud computing in a customer-facing role.
- Experience in packaging code and other artifacts for customers and internal teams.
- Experience with full-stack development utilizing programming languages such as Python, JavaScript, React, etc.
- Active Top Secret/Sensitive Compartmented Information security clearance (TS/SCI) or eligibility.
Responsibilities
- Oversee technical delivery excellence, exceptional customer satisfaction, and accurate estimation of customer outcomes.
- Lead customer-facing solutions workshops to gather requirements to deliver back to the customer an end-to-end roadmap of a plan of record for the customer to follow.
- Scope out a use case to prototype in order to show the customer that what they are seeking can be done on the GCP platform.
- Scope and develop full-stack prototypes leveraging the GCP portfolio that solve a wide-ranging set of problems that are delivered in 6 weeks or less.
- Institutionalize agile methodologies in the delivery of the full-stack prototypes, and partner closely with the aligned Technical Program Management team (TPM).
- Develop architectures that include cross-platform technologies to be incorporated into business plays and subscription agreements.
Preferred Qualifications
- Experience working cross-functionally in a highly integrated team composed of both technical and non-technical members.
- Experience in a sales organization or public procurement organization.
- Experience designing and deploying with one or more from the following Machine Learning (ML) frameworks e.g., TensorFlow, PyTorch, JAX, Spark ML, etc.
- Experience with business use case to algorithm selection, training, tuning, inference, and training pipeline, design and build.
- Knowledge of AI/ML.