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AWS solution Architect && Cloud Engineer

Medai Digital

Remote

USD 150,000 - 250,000

Full time

30+ days ago

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Job summary

Medai Digital is seeking an AWS Solution Architect & Cloud Engineer to optimize cloud infrastructure for AI and LLM ecosystems. This position will focus on driving cost efficiency while ensuring high performance and security across multiple industries. You will work in a collaborative remote-first culture, surrounded by a team of experts in technology and data solutions.

Benefits

Flexible and supportive environment

Opportunities for professional growth

Collaborative and innovative culture

Qualifications

5+ years of experience in cloud architecture, with at least 3 years on AWS.
Deep familiarity with AWS services, including compute, storage, and database.
Proficiency in Infrastructure as Code (IaC) tools and CI/CD practices.

Responsibilities

Design and implement scalable, secure, cost-optimized cloud architectures on AWS.
Evaluate and integrate AWS services for specific project requirements.
Develop and manage CI/CD pipelines for efficient cloud deployments.

Skills

Cloud architecture

AWS services

CI/CD pipeline

Cost optimization

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

AWS CloudFormation

Terraform

Docker

Kubernetes/EKS

This range is provided by Medai Digital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $250,000.00/yr

Company Description

Medai Digital is a leading technology, information, and media company with a strong presence across Houston, Austin, Los Angeles, and the Bay Area. We specialize in applying advanced Artificial Intelligence and physics-based solutions to drive transformative outcomes across pivotal sectors, including Real Estate, Oil & Gas, Energy, Sustainable & Green Solutions, Marketing, Healthcare, and Finance. Our mission is to empower organizations through innovative hybrid models that seamlessly integrate deep scientific principles, engineering expertise, and cutting-edge AI with robust data technology. These intelligent solutions are designed to achieve significant cost optimization, effective risk mitigation, unparalleled opportunity unlocking, and accelerated market expansion. Founded by seasoned scientists with PhDs in physics, engineering, and computer science, our team brings extensive experience from both academia and industry, backed by a proven track record of successful AI, engineering, and simulation product deliveries. We deliver our expertise through strategic consulting services and by leading the charge in Software as a Service (SaaS) and Agent (AI) as a Service (AAAS) platforms.

About This Role:

Medai Digital is seeking an accomplished AWS Solution Architect & Cloud Engineer to join our innovative team. This pivotal role involves designing, building, and optimizing our cloud infrastructure on AWS to support complex AI and Large Language Model (LLM) ecosystems, and manage grand-scale databases. A key focus will be on driving maximum cost efficiency while maintaining high performance, scalability, and security for our cutting-edge AI services. You will play a crucial role in architecting cloud solutions that power our SaaS and AAAS platforms, enabling our scientists and engineers to deliver transformative solutions across diverse industries.

Key Responsibilities:

Design and implement highly scalable, secure, and cost-optimized cloud architectures on AWS for AI/ML workloads, LLM inference/training, and big data solutions.
Evaluate, select, and integrate appropriate AWS services (e.g., EC2, S3, RDS, DynamoDB, Lambda, SageMaker, EKS, ECS, VPC, CloudFormation, etc.) to meet specific project requirements while ensuring cost-effectiveness.
Develop and manage CI/CD pipelines for cloud deployments, ensuring automation, efficiency, and reliability.
Implement robust monitoring, logging, and alerting solutions to ensure the health, performance, and cost visibility of cloud resources.
Optimize existing cloud infrastructure and processes to identify and implement cost-saving measures without compromising performance or security.
Collaborate closely with Data Scientists, Data Engineers, Software Engineers, and Product Owners to translate complex AI/ML requirements into scalable cloud infrastructure designs.
Manage and optimize large-scale databases (relational, NoSQL, data warehouses) on AWS to support high-throughput data pipelines for AI/ML.
Ensure adherence to security best practices, compliance standards, and disaster recovery strategies within the AWS environment.
Stay abreast of the latest AWS service updates, cloud architecture patterns, AI/ML advancements, and cost optimization techniques.
Provide technical guidance and mentorship to other team members on AWS best practices and cloud native development.

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related technical field.
5+ years of experience in cloud architecture, engineering, and operations, with at least 3 years focused on AWS.
Deep familiarity with the AWS cloud ecosystem, including compute, storage, networking, security, database, and analytics services.
Proven experience in designing and implementing cost-effective cloud solutions for AI/ML workloads and large datasets.
Strong understanding of containerization technologies (Docker, Kubernetes/EKS) and serverless architectures (Lambda).
Proficiency in Infrastructure as Code (IaC) tools like AWS CloudFormation or Terraform.
Experience with CI/CD pipelines and DevOps practices.
Solid understanding of networking concepts (VPC, subnets, routing, security groups).
Experience with various database technologies (e.g., PostgreSQL, MongoDB, Cassandra, Redshift, Snowflake).
Excellent problem-solving skills, with an analytical approach to optimizing complex systems for performance and cost.
Strong communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.

Preferred Qualifications and Skills:

AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional certification.
Experience specifically optimizing cloud costs for Large Language Models (LLMs) or other compute-intensive AI applications.
Experience with AWS SageMaker, AWS Glue, AWS Athena, or other specialized AI/ML and data services.
Proficiency in scripting languages (Python, Bash) for automation.
Experience with distributed computing frameworks (e.g., Spark).
Familiarity with security best practices and compliance frameworks in cloud environments.

What We Offer:

When you join Medai Digital, you’ll experience a collaborative, innovative, and inclusive remote-first culture. We empower our people to thrive by providing a flexible and supportive environment where you can make a significant impact. We value continuous learning and offer opportunities for professional growth at the forefront of AI and cloud technology.

Opportunity to architect and optimize cloud solutions for cutting-edge AI and LLM applications.
Work with a team of seasoned scientists and engineers with deep expertise in AI, physics, and data.
A remote-first work model promoting flexibility and work-life balance.
An environment that values innovation, autonomy, and continuous improvement.

Medai Digital is an Equal Employment Opportunity Employer. We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.

Seniority level