Quick Overview
Job Description
Job Description:
- 8+ years of experience in SRE, cloud infrastructure, DevOps, platform engineering, or infrastructure software.
- Hands-on experience with AWS multi-account environments, AWS Organizations, IAM, Terraform, and cloud governance.
- Experience building automation in Python, Go, Ruby, or similar languages.
- Familiarity with Control Tower, Account Factory for Terraform, CloudFormation, EventBridge, Lambda, SQS, IAM Identity Center, or similar AWS platform services.
- Strong understanding of reliability, security, cost management, and developer experience tradeoffs in cloud platforms.
- Ability to partner with engineering teams as a trusted advisor while still enforcing clear cloud standards.
- Strong written communication and comfort documenting processes for audit, handoff, and operational support.
Job Responsibilities:
- Implement and maintain service control policies, landing-zone patterns, and cloud governance automation.
- Build reusable infrastructure-as-code modules and paved-road patterns that help engineering teams deploy securely and consistently.
- Support standardized cloud resource creation and management, including VPC patterns, prefix lists, IAM patterns, and account-level controls.
- Build or adapt Cloud Foundations services for federal use, including cloud account workflows, email service enablement, Google Cloud Platform project/key management, FinOps reporting,
- and cloud compliance automation.
- Participate in responder duties, cost anomaly response, cloud support channels, operational ticket triage, and production support.
- Produce documentation, runbooks, design notes, and evidence-friendly operational records.
- Provide guidance and technical feedback to engineers adopting secure cloud patterns.
Preferred:
- Experience with FinOps, cloud cost reporting, guardrail platforms, compliance automation, or account provisioning workflows.
- Experience building reusable Terraform modules or paved-road cloud patterns for internal engineering teams.
Education: Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
GlobalLogic estimates the starting pay range for this role to be performed remotely to be $130,000 to $140,000, and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
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