AWS Cloud Computing Engineer

Job Description

Description

We are seeking an experienced AWS Cloud Computing Engineer / Architect to support the design and delivery of a secure, monitored, cloud-hosted laboratory and cloud-hosted applications.  The ideal candidate will have hands-on experience with data science and analytics with extensive use of AI/ML and LLM models, AI/MLOps, DevSecOps, and GenAI tools and technologies with expertise in deployment to high-stakes production environment. 

The successful candidate will be responsible for overseeing platform architecture design, refining Databricks solutions, and implementing Bedrock and deployment architectures. This role also involves ensuring the security architecture aligns with our standards and advancing use case solutions to production readiness. 

Key Responsibilities:

• Design and implement event-driven architecture to support scalable, resilient, and dynamic GenAI applications.
• Refactor and rehost existing applications onto cloud platforms, optimizing for performance and scalability.
• Collaborate on the development of Platform Architecture, ensuring seamless integration and efficient operation of cloud services.
• Develop and optimize Databricks Solution Architectures to handle large-scale data processing and analytics workloads.
• Engineer robust Bedrock Solution Architectures to support infrastructure provisioning and management at scale.
• Define and execute Deployment Architectures that allow for automated and reliable deployments of applications and services.
• Establish and enforce Security Architectures to protect data and maintain compliance with industry and regulatory standards.
• Create Use Case Solution Architectures, transforming business requirements into technical solutions.
• Proactively identify and address technical issues and challenges to improve the efficiency and reliability of cloud-based systems.
• Work with cross-functional teams to facilitate the smooth deployment of cloud services across various operational environments.
• Document architectural decisions and create best practice guidelines for cloud development and deployment.
• Stay abreast of emerging cloud technologies and recommend adaptations to keep ahead of industry trends.
• Experience using Agile and DevSecOps methodologies and practices.

Qualifications

• Bachelor’s and 18 Years Experience or Master’s degree an 16 years experience in Computer Science, Data Science, Engineering, or a related field.
• Proven experience in cloud engineering and architecture, with a focus on event-driven solutions.
• In-depth knowledge of public cloud platforms (e.g., AWS, Azure, Google Cloud, Oracle).
• Proficiency with Databricks and understanding of big data ecosystems.

Overview

SAIC® is a premier Fortune 500® technology integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.