AWS Cloud Infrastructure Engineer Security Clearance

Position: AWS Cloud Infrastructure Engineer with Security Clearance
Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform® provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have.

The result is a government workforce that is exponentially more creative and productive. For more information, visit www.

Empower.ai . Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company's commitment to hiring and supporting active-duty and veteran employees. Responsibilities In this role, you will architect, implement, and optimise enterprise-scale cloud infrastructure leveraging AWS services and leading Dev Ops practices. You will work closely with multidisciplinary teams to ensure highly available, resilient, and cost-effective environments underpin our clients' digital transformation initiatives.

This is a unique opportunity for technically adept individuals to contribute directly to expanding cloud and infrastructure capabilities.

Key Responsibilities - AWS Architecture, Dev Ops Engineering, Security, and Automation
* Design, build, and maintain secure, scalable cloud infrastructure using AWS (EC2, S3, VPC, IAM, Lambda, RDS, etc.).
* Develop and manage Infrastructure as Code (IaC) solutions with tools such as Cloud Formation, Terraform, or AWS CDK.
* Implement automation pipelines for provisioning, configuration management, and deployment by utilising Dev Ops tools (e.g., Jenkins, Git Hub Actions, Ansible, Docker, Kubernetes).
* Collaborate with software engineers, architects, and security specialists to deliver resilient, high-performance solutions tailored to client and project requirements.
* Monitor and optimise cloud infrastructure for cost, reliability, and performance, recommending improvements where needed.
* Maintain and enhance operational security, enforcing best practices, policies, and controls in cloud environments.
* Troubleshoot and resolve infrastructure issues efficiently, ensuring minimum disruption to mission-critical services.
* Champion knowledge sharing and continuous improvement within the cloud engineering community of the organisation.
* Evaluate and integrate AI/ML and generative AI capabilities (e.g., AWS Bedrock, Sage Maker) into cloud architectures to support intelligent automation and data-driven operations.
* Leverage AI-assisted Dev Ops and coding tools to accelerate infrastructure-as-code development, testing, and anomaly detection. Qualifications Requirements:
* * Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field, or relevant professional experience.
* 10+ years of hands-on experience designing, deploying, and managing cloud infrastructure, with a significant focus on AWS services.
* US Citizen with ability to obtain Public Trust Clearance
* Advanced knowledge of AWS architecture, service deployment, networking, and security concepts.
* Proficiency in Infrastructure as Code tools (e.g., Cloud Formation, Terraform, or equivalent).
* Experience with CI/CD pipeline creation, automation workflows, and relevant Dev Ops tool chains.
* Strong scripting skills (e.g., Python, Bash, Power Shell) for automation and system integration tasks.
* Thorough understanding of cloud security best practices, incident response, compliance, and monitoring.
* Skilled in collaborative working with cross-functional, technical, and non-technical teams.
* Analytical thinker with a solution-oriented approach to technical challenges.
* Commitment to maintaining an inclusive, high-trust, and growth-driven team culture.
* Advanced AWS, Cloud Migration, and Containerisation skills
* Working knowledge of AWS AI/ML services (e.g., Bedrock, Sage Maker, Comprehend) and how to incorporate them into cloud infrastructure design.
* Experience with hybrid and multi-cloud environments or cloud migration projects.
* Ability to design and manage container-based workloads using Docker and/or Kubernetes on AWS EKS.
* Knowledge of monitoring and logging tools (e.g., Cloud Watch, Splunk, Datadog, Prometheus), and cost management strategies in AWS.
* Hands-on experience deploying or fine-tuning generative AI/LLM solutions on AWS (Bedrock, Sage Maker Jump Start) or with MLOps pipelines.
* Familiarity with AI-powered Dev Ops/AIOps tooling for predictive monitoring, automated remediation, and intelligent alerting. Desired:
* Relevant AWS certifications (e.g., AWS Solutions Architect, Sys Ops Administrator, Dev Ops Engineer) strongly preferred L
* Exposure to compliance standards such as ISO 27001, SOC 2, or FedRAMP is advantageous.
* Excellent…