Description
Description
We are seeking an experienced AWS DevOps 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 5 Years Experience or Master's degree an 3 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.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
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