Cloud Systems Engineer - Washington, DC

Job Description

Cloud Systems Engineer - Washington, DC

About us

Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.

Join us in driving growth and seizing new business opportunities.

Background

The C&CA Systems team is seeking cloud professionals proficient in administering AWS GovCloud cloud service platform. Become part of a team responsible for building a cloud business platform within the Client borad. At least five years of demonstrated experience supporting cloud platforms. As a Senior Cloud Systems Engineer, we require 10 years of experience in the field of technology including application development, 5 of which focused on supporting cloud technologies.

Role and Responsibilities

Developing software according to software development lifecycles (SDLCs), including DevOps, Agile, Lean, or Iterative.

Designing, deploying, and migrating secure and maintainable systems for Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) environment.

Proficient in at least one high-level programming language such as Python, PowerShell, or Infrastructure as Code (AWS CloudFormation, AWS CDK, Terraform, etc.). Python

3.x data engineering with pandas, Databricks, or SPARK preferred.

DevOps, CI/CD pipelines and automation, containers, and related best practices for cloud

deployment. Experience with GitLab or Azure DevOps preferred.

Service offerings in Amazon Web Services (AWS) and government platform experience preferred.

Understanding of cloud-based architecture, web servers, caching, application servers, load balancers, and storage. Experience with AWS Load Balancer.

Familiarity with loose coupling, stateless systems, and best practices for designing cloud[1]ready applications.

Understanding of cloud federation technologies such as SAML, Okta, OAuth, and OpenID Connect and how to apply these technologies to enterprise and public-facing applications.

Understanding of cloud vendor cost structures and the ability to optimize solutions for cost effectiveness.

Experience transitioning legacy systems to cloud-ready architecture.

Understanding of RESTful Web Services, XML, or JSON. Experience with AWS API Gateway.

Awareness of cloud information security risks and best practices, especially in a highly secure operating environment.

Familiarity with government cloud deployments (FedRAMP, FISMA, high security environments, etc.)

Minimum Qualification

Bachelor’s degree in engineering, Computer Science, Information Systems, or IT related discipline.

Minimum of 10 years’ experience in Information Technology in an Enterprise environment.

Experience analysing cloud requirements, concept of operations documents, and high-level system architectures to develop cloud system specifications.

Design and create custom build cloud applications

Set up and configure DevSecOps for cloud environments

Partner with the cloud platform team and development team to build, manage, and enable the underlying cloud infrastructure and platforms in support of a business application development project.

Preferred Qualification

Experience with designing or implementing cloud architectures for analytics/data

processing/machine learning use-cases, such as data lakes, lake formations, etc.

Experience with containerization as a strategy for cloud-enabling legacy applications such as Docker and Kubernetes (AWS EKS, ECS, or Fargate preferred)

Familiarity with the Well Architected Framework.

Experience with defining platform requirements.

Experience integrating with enterprise observability platforms such as Splunk.

Experience with Data Quality testing tooling (e.g., Great Expectations, Glue Data Quality)