AWS, Technical Lead

• 10+ years in cloud engineering or architecture, with 6+ years focused on AWS, in DevSecOps or platform engineering roles.
• Expert-level Terraform: module design, state management at scale, testing, and policy-as-code enforcement. CloudFormation or CDK fluency preferred.
• Hands-on experience building and operating CI/CD pipelines for federal systems (GitLab CI, GitHub Actions, Jenkins, or AWS CodePipeline) with integrated security scanning.
• Deep AWS security expertise: IAM design, Organizations and SCPs, KMS, network segmentation, Security Hub, GuardDuty, and logging architecture.
• Demonstrated compliance-as-code work: automating NIST SP 800-53 evidence, STIG or CIS hardening, and continuous monitoring in support of FISMA or FedRAMP authorizations.
• Practical experience delivering AI or ML capabilities on AWS, or applying AI tooling to engineering and operations work, in a regulated environment.
• 3+ years leading and mentoring cloud engineering teams.
• Deep, current, hands-on AWS expertise across core services, including AWS GovCloud (US).
• Active AWS Professional-level certification required: AWS Certified Solutions Architect - Professional and/or AWS Certified DevOps Engineer - Professional (both preferred).
• Active AI certification required: AWS Certified AI Practitioner or AWS Certified Machine Learning Engineer - Associate, and/or an Anthropic Claude certification.
• AWS Certified Security - Specialty and HashiCorp Certified: Terraform Associate strongly preferred.
• Experience contributing to federal proposals as a technical solution architect or technical volume author.
• Experience working directly with AWS partner and account teams.
• U.S. citizenship and the ability to obtain and maintain a Public Trust clearance.
• Delivery experience at federal civilian agencies where AWS is the platform of record.
• Track record advancing an AWS Partner Network tier or earning competencies and service delivery designations.
• Multi-cloud fluency, particularly Azure Government.
• Experience with agentic AI frameworks and MCP-based tooling for engineering and operations.
• Kubernetes (EKS) and container security experience.

The salary range for this position is $160,000-190,000

Easy Dynamics is an equal opportunity employer. Applicants are considered for positions without discrimination on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, veteran status or any other consideration made unlawful by applicable federal state or local laws.

Originally posted on Himalayas