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Cloud Systems Engineer (Washington)
Cloud Systems Engineer (Washington)Take2 Consulting, LLC • Washington, DC, United States
Cloud Systems Engineer (Washington)

Cloud Systems Engineer (Washington)

Take2 Consulting, LLC • Washington, DC, United States
[job_card.variable_hours_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Take2 has proven experience bridging the intersection of technology and people solutions. As a proven, trusted provider for our Federal and commercial clients, we provide the right solutions, at the right time through trusted partnerships, customized to solve our clients unique business challenges. Take2 invests time, discipline, and rigor into our technology and people solutions, as well as utilizes our proprietary People Cloud. Whether we are bridging the gap between IT talent and our customers business challenges, Take2 will work as a partner to best resolve client needs.

Take2 is hiring an experienced Cloud Systems Engineer . This role requires you to be e ligible for a Federal clearance to interview. This position is onsite and will require you to work out of Washington, D.C.

Overview

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 Federal Reserve Board. 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.

Education Preference

Candidates should possess a bachelor's degree in computer science, information technology, or a related field.

Clearance Requirements

Public Trust

Onsite Requirements

On-Site

Responsibilities

  • Design and create custom cloud applications tailored to project needs.
  • Set up and configure DevSecOps pipelines for secure cloud environments.
  • Partner with cloud platform and development teams to manage and enable cloud infrastructure supporting business applications.
  • Deploy, migrate, and maintain secure systems for IaaS, PaaS, and SaaS environments.
  • Develop software following SDLCs including DevOps, Agile, Lean, or Iterative methodologies.
  • Utilize high-level programming languages such as Python, PowerShell, or Infrastructure as Code tools like Terraform or AWS CloudFormation.
  • Implement automation, CI / CD pipelines, and containerization practices, with experience using GitLab or Azure DevOps preferred.
  • Work with AWS service offerings and government cloud environments, ensuring compliance with security standards.
  • Apply knowledge of cloud architectures, web servers, load balancers, and storage solutions like AWS Load Balancer.
  • Support cloud migration efforts and optimize solutions for cost efficiency.
  • Incorporate security best practices, including cloud federation technologies such as SAML, Okta, OAuth, and OpenID Connect.

Qualifications

  • Ten years of experience in technology, including five years supporting cloud platforms.
  • Proficiency with AWS environments, especially AWS GovCloud.
  • Experience designing and deploying secure cloud solutions across IaaS, PaaS, and SaaS.
  • Strong understanding of cloud-based architectures, security, and cost optimization.
  • Skilled in programming languages and infrastructure as code, especially Python 3.x, PowerShell, AWS CloudFormation, Terraform, or AWS CDK.
  • Knowledge of RESTful Web Services, AWS API Gateway, and cloud security protocols.
  • Experience with CloudWatch, CloudTrail, Lambda, RDS, Aurora, and other AWS components.
  • Familiar with highly secure operating environments, FISMA, FedRAMP, and related compliance standards.
  • Desired Skills

  • Additional experience with data lakes, lake formation, and analytics architectures.
  • Containerization expertise using Docker, Kubernetes (EKS, ECS, Fargate).
  • Familiarity with the AWS Well Architected Framework and enterprise observability platforms like Splunk.
  • Knowledge of Data Quality testing tools such as Great Expectations or Glue Data Quality.
  • Direct management of AWS services including CloudTrail, CloudWatch, S3, RDS / PostgreSQL, and Lambda.
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