Job Description:Quevera is seeking a highly skilled
Cloud Modernization Technical Lead with an active
TS/SCI clearance with Polygraph to support programs in
Fort Meade, Maryland.
In this role, you will lead the customer's transition of modernized web-based solutions to the WILDANDSTORMY (WANDS) cloud environment. You will support the "lift and shift" of identified web-based solutions, implement multi-regional resiliency, and modernize solutions to leverage serverless capabilities.
You will also plan, integrate, and utilize advanced services, including Artificial Intelligence and Machine Learning (AI/ML), to improve efficiencies and effectiveness for the customer.
Work Schedule- Primary Work Location: Fort Meade, Maryland.
- Telework: One (1) day remote per week.
Job Responsibilities:- Plan, implement, and deliver the "lift and shift" of all identified web-based solutions to WANDS.
- Plan, implement, and deliver multi-regional resiliency for all web-based solutions in WANDS.
- Plan, implement, and modernize web-based solutions to leverage serverless capabilities.
- Plan, implement, and utilize new services, including AI/ML, to improve efficiencies and effectiveness.
Minimum Requirements:- Active TS/SCI clearance with Polygraph required.
- Twenty (20) years of experience performing software development and deployment.
- Five (5) years of experience with any of the following:
- JavaScript frameworks, including React, Angular, or Vue.js
- Django
- Database query languages, including MySQL and GraphQL
- Python programming
- WordPress / Headless WordPress or CMS applications
- Linux environments
- Kubernetes and Docker
- Bachelor's degree in Computer Science or a related discipline from an accredited college or university.
- Four (4) years of additional experience may be substituted for a bachelor's degree.
- Knowledge of cloud computing.
- Experience developing, deploying, and sustaining software products.
- Experience leading teams.
Desired Skills:- Angular.
- Django.
- Linux.
- Kubernetes and Docker.
- Cloud subject matter expertise.
- Knowledge of or experience using cloud services, such as AWS, including AI/ML services.
- Experience developing, deploying, and sustaining web-based software applications.
- Experience working cross-organizationally and across multiple platforms.
- AWS certifications.
- Ability to refine requirements, provide Level of Effort (LOE) estimates, and estimate costs.
- Experience using Agentic AI platforms to deliver solutions.
