Cloud​/Computing Engineer

Basic Qualifications

• Active Top Secret/ Sensitive Compartmented Information (TS/SCI) clearance with ability to pass a Poly clearance.
• Minimum of 8 years relevant experience with a Bachelor’s degree (Master’s degree and 6 years of relevant experience or PhD with 3 years relevant experience).
• Proven work experience as a Data Center Cloud Engineer or similar role utilizing cloud technologies.
• AWS Certified Cloud Architect.
• Excellent problem‑solving skills with attention to detail.
• Strong communication and collaboration abilities.

• Active TS/SCI with Poly clearances.
• Degree(s) in Computer Science, Engineering, or related field.
• Knowledge of web services API, REST and RPC.
• Containerization experience using Docker and Kubernetes.
• Experience with Python, Java, and Ruby programming languages.

SECURITY CLEARANCE:
Active TS/SCI required;
Poly clearance obtainable. US citizenship is required to hold this clearance.

Peraton is seeking an experienced Cloud/Computing Engineer with a focus on the Infrastructure Cloud to join our national intelligence program in Northern Virginia that delivers engineering, application development, deployment, operations, upgrades and sustainment of products and services to achieve our client’s global missions.

The candidate must have demonstrated experience managing cloud‑based systems and processes. The successful candidate will create cloud applications, implement cloud infrastructure solutions, and ensure the security of our clients’ cloud systems.

• Design, build and manage cloud infrastructure environments.
• Offer guidance in infrastructure movement techniques including bulk application transfers into the cloud.
• Identify top architecture solutions to successfully meet and maintain the clients’ strategic needs.
• Install, troubleshoot, patch and configure cloud servers for optimal performance.
• Provide technical leadership, expertise, and design of cloud cluster computing techniques and technologies and expert advice to the program, and to optimize and implement cloud‑based architectures and a roadmap to migrate from on‑premises solutions.
• Optimize memory management and identify the best ways to develop distributed cluster‑enabled and graph processing algorithms.
• Lead data integration and migration efforts, including mapping schemas, performing Resource Framework Definition (RDF) translations, and defining domain‑specific functionality, where applicable.
• Develop large data technologies, algorithms, and applications for clients. Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas.
• Work with massive data sets, complex algorithms, and team members from a variety of specialties to resolve clients’ hardest problems.
• Support a range of clients from front‑line analysts to researchers and senior leadership. Work as a key contributor on a collaborative, fast‑growing, and highly skilled software development team.
• Experience with information extraction and analysis techniques, practices, and algorithms.
• Knowledge of a variety of advanced computer science and mathematical concepts, practices, and procedures associated with the analysis of large datasets, from indexing schemes to statistical tests.
• Knowledge of Cloud computing, Hadoop or Map Reduce, Netezza, Vertica, Big Table, Pig, Terradata, or Amazon Web Services—ability to obtain a security clearance.
• Apply expert knowledge in computer science, particularly in the Semantic Web and cloud computing environments.
• Develop, implement and maintain processes, procedures, test cases, test results, issue resolutions, and performance analysis, and user guidelines/instructions documentation.
• Travel:
  Travel may be required within the National Capital Region (NCR) on an as‑needed basis for customer or corporate requirements.

** Position is Contingent on Contract Award**