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GCI Incorporated

Cloud Engineer Senior (TS/SCI with Poly Required)

GCI Incorporated

Location
Onsite (Chantilly, VA)
Compensation
$124k - $207k/yr
Employment
Full-time
Level
Senior Level
Posted 3 days ago

About the Role

GCI Incorporated is seeking a Cloud Engineer to build, deploy, and secure cloud infrastructure for complex software products in a production environment. The role involves designing new cloud tooling, collaborating with cross-functional teams, and ensuring system reliability within an agile setting.

Skills

AWS Cloud Infrastructure Terraform Ansible CloudFormation AWS CDK Python Java Infrastructure as Code Serverless NIST 800-53 Kubernetes EKS ETL Big Data Route 53

Full job details

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

 

At GCI, we solve hard problems. As a AWS Cloud Engineer, a typical day will include the following duties: 

The AWS Cloud Engineer will build, deploy, manage, and administer cloud infrastructure designed to deliver complex software products in a production environment. The ideal candidate is a hands-on Cloud engineering professional with significant experience in developing and deploying repeatable processes, tools, and cloud infrastructure that enable the delivery of software in an on-demand cadence. They must have strong, firsthand technical expertise in a variety of configuration automation, deployment, and continuous integration technologies and the proven ability to fashion robust solutions that can keep pace with software development. They must be at ease working in an agile environment with a cross-functional team. This person should embody a passion for continuous improvement and innovation. 

KEY RESPONSIBILITIES  

  • Work with a team to build, administer, and secure cloud environments in both the customer and company lab environment in a repeatable and reliable manner 
  • Design, develop, test, debug, and deploy new cloud tooling and infrastructure that extend or replace existing capabilities 
  • Collaborate with a cross-functional team of software engineers, data scientists, analysts, project managers and other engineering groups. 
  • Provide ongoing maintenance, support, and enhancements in production systems and platforms. 
  • Troubleshoots complex problems and provides customer support for software systems and application issues.  
  • Provide recommendations for continuous improvement.  
  • Write and update technical documentation such as system documentation, training materials, processes and procedures. 
  • Work alongside other engineers on the team to sustain and advance our organization’s capabilities. 

 

EDUCATION AND EXPERIENCE 

  • Bachelor's degree in Computer Science, Information Technology, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience. 

 

REQUIRED QUALIFICATIONS 

  • Demonstrated hands-on experience configuring cloud VPCs, subnets, route tables, and gateways 
  • Demonstrated experience scaling applications written in Java, Python or other programming languages with Cloud Native technologies 
  • Experience deploying code in AWS utilizing solutions such as Terraform, Ansible, and CloudFormation 
  • Demonstrated experience using the AWS CDK 
  • Demonstrated experience with AWS Route 53 
  • Experience working with cloud native technologies, Infrastructure as Code (IAC), and/or Serverless cloud technologies 
  • Experience securing cloud environments per NIST 800-53 security controls 

 

 DESIRED QUALIFICATIONS 

  • Demonstrated experience with cloud technologies used with ETL and big data pipelines such as Glue, EMR, HIVE, Spark, S3, SQS, and SNS 
  • Demonstrated experience with Kubernetes or EKS 
  • Demonstrated experience with Presto