Empower AI

AWS Cloud Infrastructure Engineer

Empower AI$100K — $140K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in Computer Science or related field, or equivalent professional experience
  • 10+ years of hands-on AWS cloud infrastructure experience
  • US Citizenship with ability to obtain Public Trust Clearance
  • Advanced AWS architecture and security knowledge
  • Proficiency in Infrastructure as Code tools
  • Strong scripting skills in Python, Bash, or PowerShell
  • Experience with CI/CD pipeline creation and relevant DevOps toolchains
  • Knowledge of cloud security best practices and compliance

Responsibilities

  • Design and maintain secure, scalable AWS cloud infrastructure
  • Develop and manage Infrastructure as Code solutions
  • Implement automation pipelines using DevOps tools
  • Collaborate with multidisciplinary teams for high-performance solutions
  • Monitor and optimise cloud infrastructure performance
  • Maintain and enhance operational security in cloud environments
  • Troubleshoot and resolve infrastructure issues efficiently
  • Evaluate and integrate AI/ML capabilities into cloud architectures

Benefits

  • Opportunities for knowledge sharing and continuous improvement
  • Work within a multidisciplinary team environment
  • Career growth in rapidly expanding cloud and infrastructure space
  • Engagement in advanced cloud services and technologies
  • Chance to impact client digital transformation initiatives
Full Job Description
Overview

In this role, you will architect, implement, and optimise enterprise-scale cloud infrastructure leveraging AWS services and leading DevOps 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, DevOps 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 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.
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., 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.
    • 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.

 

Desired:

 

  • Relevant AWS certifications (e.g., AWS Solutions Architect, SysOps Administrator, DevOps Engineer) strongly preferredL
  • 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.

 

 

Physical Requirements:

 

This position requires the ability to perform the below essential functions:

 

  • Sitting for long periods
  • Standing for long periods
  • Ambulate throughout an office
  • Ambulate between several buildings
  • Travel by land or air transportation 10%

About Empower AI

Empower AI is a privately held company that develops artificial intelligence software for the healthcare industry. The company was founded in 2017 and is headquartered in Cambridge, Massachusetts. Empower AI's software uses machine learning algorithms to analyze medical data and provide insights to healthcare providers. The company's software is designed to improve patient outcomes and reduce healthcare costs. Empower AI has approximately 50 employees and operates in the United States.
Learn more about Empower AI
Size
50 employees
Industry
Founded
1989

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