COGENT Infotech
AWS Systems Engineer - Washington, DC - 100% Onsite - 90-95/hr - 11 month contract
Our client, a federal government agency, is seeking an AWS Systems Engineer familiar with AWS GovCloud to build applications in compliance with FedRAMP or FISMA. This project starts 2/2/2026 with the possibility of renewal after 12/31/2026.
Responsibilities Your duties and responsibilities include the below tasks, but are not limited to them:
Design and create custom build cloud applications
Set up and configure DevSecOps for cloud environments
Work cross functionally 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.
Requirements
10 years of overall experience in IT where at least 5 are dedicated to supporting Cloud Technologies and Application development.
Develop 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) environments.
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 architectures, 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-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.)
Preferred
Bachelor’s degree in computer science, information technology, or related field.
Experience with direct configuration and management of AWS components, including CloudTrail, CloudWatch, S3, RDS or Aurora, PostgresSQL, Lambda, Glue or MWAA (Airflow)
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)
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Responsibilities Your duties and responsibilities include the below tasks, but are not limited to them:
Design and create custom build cloud applications
Set up and configure DevSecOps for cloud environments
Work cross functionally 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.
Requirements
10 years of overall experience in IT where at least 5 are dedicated to supporting Cloud Technologies and Application development.
Develop 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) environments.
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 architectures, 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-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.)
Preferred
Bachelor’s degree in computer science, information technology, or related field.
Experience with direct configuration and management of AWS components, including CloudTrail, CloudWatch, S3, RDS or Aurora, PostgresSQL, Lambda, Glue or MWAA (Airflow)
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)
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