Description
We are seeking a pro-active SME level Cloud Architect and Engineer with a broad range of skills to develop and deploy the latest generation of solutions to our intelligence customers. This person will aid in every part of the delivery cycle, from engagement with senior customers to software development as a forward-deployed member of Agile teams.
Primary Responsibilities:
Leverage knowledge and skills associated with cloud-first and AWS native architectures.
Leverage knowledge and skills associated with AWS Console, CLI, and Manage Services
Utilizing cloud services to build infrastructure as code in an automated fashion
Implement DevSecOps including Auto-scaled architectures for rebuilds
Use knowledge for IT systems to include, but not limited to:
Linux baselines: CentOS and Ubuntu, Bash Scripting and hardening protocols
Micro-Services: building decoupled systems, utilizing RESTful endpoints and lightweight systems
Data Management: landing zones, data lakes, and data movement restrictions for security
Development: Modern coding principles, continuous integration pipelines, and automation first implementations
Security: Understanding of information security postures for members of the Intelligence Community, engineering of secure solutions, and experience providing security documentation
Operations: continuous deployments, rip and replace architectures, dynamic monitoring, and quick-response operations up-time
CI/CD tools: Git and Jenkins
Basic Qualifications:
**Candidate must have an active TS/SCI with polygraph
**Candidate must have Master’s degree with 15 or more years of prior relevant experience or Doctorate with 13 or more years of prior relevant experience. Additional years of experience can be accepted in lieu of a degree.
Preferred Qualifications:
Minimum of one AWS Certification from the AWS Associate level (AWS Certified Architect Associate, AWS Certified Developer Associate, or AWS Certified SysOps Administrator Associate)
2+ years of C2S experience
Demonstrated experience of the following:
Cloud formation
Serverless architectures and implementations
Big data solutions for data lake implementations (Elasticsearch)
Managing complex Sponsor relationships and requirements gathering
Experience with migrating workloads to the cloud
Injecting detailed technical direction into teams for adoption
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:Pay Range $144,300.00 - $260,850.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.