Location: Washington, DC
Duration: 12 Months (Possible Extension)
A leading organization is seeking a Senior Cloud Systems Engineer to support a secure AWS GovCloud-based platform. This is a hands-on senior engineering role requiring expertise in cloud architecture, Infrastructure-as-Code, DevSecOps, automation, and secure operations in regulated environments.
The engineer will collaborate with cloud platform teams and application development teams to design, build, secure, and operate mission-critical cloud infrastructure.
Administer and support AWS GovCloud environments for enterprise-grade applications.
Design and maintain secure, scalable, and cost-optimized cloud architectures across IaaS, PaaS, and SaaS.
Build cloud infrastructure using IaC tools (CloudFormation, CDK, Terraform).
Implement CI/CD pipelines and automated workflows (GitLab or Azure DevOps preferred).
Architect cloud solutions involving web servers, application servers, caching, load balancers, and storage services.
Partner with internal engineering teams to support cloud infrastructure for ongoing development initiatives.
Support data-related cloud solutions including data lakes, ETL pipelines, analytics, and ML workloads.
Assist in modernization and cloud migration efforts, including containerization strategies.
Implement IAM and identity federation technologies (SAML, Okta, OAuth, OIDC).
Apply best practices for cloud security in high-security environments aligned with FedRAMP/FISMA.
Monitor, optimize, and manage cloud costs.
Integrate cloud infrastructure with enterprise observability tools (e.g., Splunk).
Troubleshoot complex issues across application, networking, infrastructure, and security layers.
Develop documentation for architecture, standards, and operational procedures.
10+ years of IT experience, including application development.
5+ years of hands-on experience with cloud platforms (AWS strongly preferred).
Strong experience with SDLC methodologies: Agile, DevOps, Iterative, or Lean.
Proven history of designing, deploying, and migrating systems in cloud environments.
Experience modernizing or containerizing legacy systems.
Proficiency in Python, PowerShell, or IaC tools (CloudFormation, CDK, Terraform).
Experience with DevOps practices, CI/CD, automation, and cloud-native services.
Strong understanding of AWS services, architectures, networking, and cloud operations.
Knowledge of RESTful services, XML/JSON, and cloud API integration.
Knowledge of identity federation (SAML, Okta, OAuth, OIDC).
Familiarity with cloud security best practices and regulated environments (FedRAMP/FISMA).
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Hands-on experience with key AWS services such as:
CloudTrail, CloudWatch
S3
RDS/Aurora (PostgreSQL)
Lambda
Glue or MWAA (Airflow)
Experience with data lake architectures, ETL pipelines, or ML workloads.
Experience containerizing applications and deploying via Docker/Kubernetes (EKS, ECS, Fargate).
Familiarity with AWS Well-Architected Framework.
Experience integrating workloads with Splunk and data quality tools (Great Expectations, Glue Data Quality).
The strongest candidates will:
Have deep hands-on AWS experience, ideally including AWS GovCloud.
Understand how to build secure, compliant, and auditable cloud systems.
Communicate effectively across infrastructure and application development teams.
Think in terms of automation, IaC, and repeatable cloud patterns.
Design with cost efficiency and maintainability in mind.
Clearly articulate architectural decisions and technical concepts to diverse audiences.
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