AWS Cloud Infrastructure Engineer

Empower AI•Suitland, MD

About The Position

Empower AI is seeking an AWS Cloud Infrastructure Engineer to architect, implement, and optimize enterprise-scale cloud infrastructure leveraging AWS services and leading DevOps practices. This role involves close collaboration with multidisciplinary teams to ensure highly available, resilient, and cost-effective environments that support client digital transformation initiatives. It's a unique opportunity for technically adept individuals to contribute directly to expanding cloud and infrastructure capabilities within the organization.

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., CloudFormation, Terraform, or equivalent).
Experience with CI/CD pipeline creation, automation workflows, and relevant DevOps toolchains.
Strong scripting skills (e.g., Python, Bash, PowerShell) 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.

Nice To Haves

Advanced AWS, Cloud Migration, and Containerisation skills
Working knowledge of AWS AI/ML services (e.g., Bedrock, SageMaker, 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., CloudWatch, Splunk, Datadog, Prometheus), and cost management strategies in AWS.
Hands-on experience deploying or fine-tuning generative AI/LLM solutions on AWS (Bedrock, SageMaker JumpStart) or with MLOps pipelines.
Familiarity with AI-powered DevOps/AIOps tooling for predictive monitoring, automated remediation, and intelligent alerting.
Relevant AWS certifications (e.g., AWS Solutions Architect, SysOps Administrator, DevOps Engineer) strongly preferred
Exposure to compliance standards such as ISO 27001, SOC 2, or FedRAMP is advantageous.
Excellent communication and organizational skills are required
Ability to interact effectively with colleagues
Must be able to work in a team environment and adapt to change
Must be customer / service focused.

Responsibilities

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 CloudFormation, Terraform, or AWS CDK.
Implement automation pipelines for provisioning, configuration management, and deployment by utilising DevOps tools (e.g., Jenkins, GitHub 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, SageMaker) into cloud architectures to support intelligent automation and data-driven operations.
Leverage AI-assisted DevOps and coding tools to accelerate infrastructure-as-code development, testing, and anomaly detection.