Cloud Engineer

Clearance Level
Top Secret/SCI
Category
Network Engineering
Location
Washington, District of Columbia

REQ#: RQ87258

Travel Required: Less than 10%
Requisition Type: Regular
  • Collaborate with our architects, engineering and development teams to design, develop, test, cloud solutions
  • Experience designing, documenting, and verifying the technology solution that meets business needs and technical requirements and follows enterprise defined guardrails, governance, and security standards for cloud deployments
  • Possess ability to develop and document operational models to operate and maintain the service design, including, but not limited to, monitoring, performance, and capabilities
  • Implement processes and tools to deploy and debug cloud initiatives successfully with best practice DevOps techniques across the entire solution development lifecycle
  • Define and create engineering design documents, test plans, diagrams, and strategies regarding application deployment and infrastructure maintenance
  • Develop and implement re-usable cloud infrastructure modules and templates using DevSecOps practices (e.g., Infrastructure As Code, CI/CD, Agile Work Methods, Policy-as-code, secure by design)
  • Design and build templates to deliver production‑grade Cloud Infrastructure for consumers of the service
  • Contribute to architecture and design processes to ensure new services and solutions meet stakeholder requirements and expectations
  • Configure, design, and troubleshoot network architectures involving Security Groups, Transit Gateways, Direct Connect, etc.
  • Automate resource provisioning and allocation processes
  • Implement cloud infrastructure solution offerings based on public cloud, private cloud, hybrid client environments, and multi-cloud environments
  • Lead code reviews
  • Ensure application performance, uptime, and scalability is sustained

Qualifications:

  • Bachelor’s degree in a STEM field (Science, Technology, Engineering, Math) with 15+ years of experience.
  • 2–4 years of experience with cloud infrastructure engineering on AWS and Azure
  • Experience with Cloud Automation Development Tool such as Git, CircleCI, Ansible, AWS CloudFormation, Python/Bash/Powershell Scripting
  • Experience in one or more Infrastructure or Application Development domains such as Network Engineering, IaaS Engineering, DevSecOps, and Automation Tools Engineering
  • Experience in technical design capabilities and knowledge implementing design patterns in Cloud development
  • Working experience in AWS Serverless architecture using Python, Lambda, API Gateway, ALB/ELB
  • Deep understanding of Relational DB service - RDS (i.e., Postgres, Aurora, MySql, Oracle), and DynamoDB
  • Knowledge of Identity Access Management, Cross account S3/KMS access management
  • Hands-on programming experience such as Python, Nodejs, Ansible
  • Working experience with M/L services such as Amazon SageMaker, Comprehend, Kendra, Polly, Rekognition, Textract, etc.
  • Working experience with analytics tools such as Athena, Amazon Redshift, EMR, Elasticsearch Service, Kinesis, AWS Glue
  • Deep understanding of infrastructure as code using AWS Cloud Formation and CFN Stack Sets
  • Hands-on experience with CI/CD technologies such as AWS Code Commit, Code Pipeline, Code Deploy, Bit bucket, Jenkins
  • Hands-on experience with AWS Service Catalog
  • Working experience of automation and management of a multi-account environment
  • Hands-on experience with container orchestration technologies such as AWS ECS, AWS Fargate, Kubernetes
  • Familiarity of Egress/Ingress access patterns including approved networking patterns across VPCs and Regions, private links, patterns/ configurations related to Route 53, CloudFront, ALB, and subnets for SaaS products
  • Experience in cloud logging and monitoring
  • Experience with Terraform

Desired Skills:

  • Amazon and Azure cloud certifications
  • Cloud security certifications
  • Cloud design certifications
  • Linux Red Hat and Windows Server 2008/2012 Operating Systems
  • Cloud base applications (AWS, Azure)
  • Cloud Native Orchestration (e.g., Kubernetes and Docker)
  • Cloud Native Application monitoring (e.g., Prometheus and Grafana)
  • Search Engine/Database (Elasticsearch, Mongo)
  • Big Data (e.g., Hortonworks, CloudEra)
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.