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# Cloud Engineer

- **Company:** Tripoint Solutions
- **Location:** United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing Security, Cloud Engineering, Continuous Integration, Data as a Services, Github, Monitoring of Systems, Identity and Access Management, Subnetting, Virtual Private Networks (VPN), Python (Programming Language), Key Management, Linux System Administration, Routing, OpenID, Peering, Salesforce.Com, Security Assertion Markup Language (SAML), Software Vulnerability Management, Load Balancing, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Gitlab-ci, Information Technology, AWS Glue, Nessus, Route53, Cloudwatch, Terraform, Splunk, Software Version Control, Jenkins, Mulesoft, Vulnerability Analysis
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a5f6f4d267931c64

## About the Role

* USA Citizenship is required.
 * Must currently hold a favorably adjudicated background investigation (Tier 1/NACI or higher)., * Bachelor's degree in Computer Science, Engineering, IT, or a related field.
 * 5+ years of experience in cloud engineering or operations.
 * Hands-on AWS GovCloud experience.
 * Hands-on AWS experience across compute, storage, networking, and identity, including VPC design, subnetting, routing, peering, Route 53, load balancing, and VPN or Direct Connect.
 * Experience integrating AWS with Salesforce, and hands-on MuleSoft experience.
 * Hands-on AWS Glue experience.
 * Hands-on infrastructure as code experience with CloudFormation or Terraform.
 * Proficiency with IAM policy design, KMS, and least-privilege access models.
 * Linux system administration.
 * Proficiency in Python for automation and scripting.
 * Hands-on CI/CD pipeline experience using GitHub Actions, GitLab CI, Jenkins, or equivalent.
 * Experience with Git and version-controlled infrastructure workflows.
 * Working knowledge of cloud security principles and hardening practices.
 * A demonstrated track record of automating manual operational work., * AWS Certified Solutions Architect (Associate or Professional) or AWS Certified SysOps Administrator.
 * Salesforce or MuleSoft certification.
 * Risk Management Framework, ATO support, STIG implementation, or vulnerability scanning with ACAS or Nessus.
 * Monitoring and observability with CloudWatch or Splunk.
 * SSO federation (SAML or OIDC) and ICAM or CAC-based identity integration.
 * Prior federal contract experience.

## Description

As a Cloud Engineer, you will build, operate, and automate AWS GovCloud infrastructure for a federal education program. You will work within the cloud team's architecture and alongside the Salesforce, integration, and data teams to keep environments secure, available, and compliant. You will also replace manual operational work with automation., * Provision, configure, and operate AWS GovCloud infrastructure, including EC2, S3, EBS, RDS, VPCs, subnets, security groups, and Route 53.

 * Author and maintain infrastructure as code (CloudFormation or Terraform) in version control with automated validation.
 * Build and support integrations between AWS and Salesforce, including MuleSoft-based interfaces.
 * Build and maintain AWS Glue pipelines that move data securely between source systems.
 * Implement S3 lifecycle, tiering, and retention policies.
 * Secure RDS and other data services with least-privilege access, encryption, and network isolation.
 * Implement and maintain IAM policies, KMS key management, and secrets management.
 * Build automated security scanning, dependency validation, and continuous monitoring into CI/CD pipelines.
 * Support STIG implementation, Risk Management Framework and Authority to Operate activities, and vulnerability remediation on contractual timelines.
 * Maintain deployment runbooks, rollback procedures, and change control artifacts that support high-availability standards.
 * Improve cost visibility through tagging, rightsizing, and cleanup of orphaned resources.
 * Automate operational work using Python.