What are the responsibilities and job description for the Senior System Cloud Engineer position at Jobs via Dice?
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The 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. 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.
Requirements:
The candidate shall also demonstrate the below knowledge and experience:
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) 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.)
Highly Desirable Skills (not mandatory):
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)
The Contractor shall deliver, but not limited to, the following:
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.
The 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. 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.
Requirements:
The candidate shall also demonstrate the below knowledge and experience:
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) 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.)
Highly Desirable Skills (not mandatory):
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)
The Contractor shall deliver, but not limited to, the following:
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.