AWS Cloud Systems Engineer
Peraton | |||||||
United States, Virginia, Herndon | |||||||
Nov 23, 2024 | |||||||
AWS Cloud Systems Engineer Job Locations
US
Responsibilities Peraton is seeking an AWS Cloud Systems Engineer to join our team of qualified, diverse individuals. The ideal candidate will become part of Peraton's Department of Homeland Security (DHS) Datacenter Consolidation and Cloud Optimization (DCCO) program providing the Rapid Prototyping team support to the DHS Homeland Advanced Recognition Technology (HART) biometric system. The Rapid Prototyping team improves the HART infrastructure by deploying and configuring system software and hardware. Rapid Prototyping team members closely interact with the government customer to achieve the evolving system objectives. This role is entirely telework based with core hours between 9 am - 3 pm (EST) Monday - Friday; applicant must reside and perform all work within the United States. Day to Day Responsibilities:
Help develop, document, communicate, and enforce a network technology.
Qualifications Basic Qualifications:
Preferred Qualifications:
Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position based on experience and other factors. |