Devops Engineer

Ascending•Fairfax, VA

3d•Onsite

About The Position

We are looking for a highly skilled AWS DevOps Engineer with a strong background in AWS Solution Architecture to join our team in Fairfax. This role is unique in its focus on integrating cutting-edge AI technologies, specifically Amazon Bedrock, into our cloud-native infrastructure. You will be responsible for designing, automating, and maintaining robust CI/CD pipelines while ensuring our cloud networking and AI services are architected for scale, security, and performance.

Requirements

Experience: 5–7 years of professional experience in DevOps, Cloud Engineering, or Solution Architecture.
AWS Expertise: Proven experience as an AWS Solution Architect (Certification preferred) with a deep understanding of core services (EC2, S3, Lambda, RDS, IAM).
AI/ML Skills: Direct experience supporting and configuring Amazon Bedrock.
Networking: Strong hands-on experience with Cloud Networking architecture and troubleshooting.
Tools: Expert knowledge of Terraform, Jenkins/GitLab CI, and containerization (Docker/Kubernetes).
Location: Ability to work onsite 5 days a week in Fairfax, VA.

Nice To Haves

Azure Experience: Familiarity with Azure OpenAI Service and hybrid-cloud AI implementations.
Certifications: AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional.
Scripting: Advanced proficiency in Python, Bash, or Go for infrastructure automation.

Responsibilities

AWS Solution Architecture: Design and implement scalable, resilient, and secure cloud solutions following AWS Well-Architected Framework principles.
Automation & IaC: Build and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation to manage multi-account AWS environments.
CI/CD Pipelines: Develop and optimize automated deployment pipelines to support rapid software delivery cycles.
Cloud Networking: Architect and manage complex cloud networking components, including VPCs, Transit Gateways, Direct Connect, and VPN configurations.
Amazon Bedrock Support: Manage and optimize Amazon Bedrock environments, including model deployments, provisioning, and integration with existing applications.
LLM Ops: Implement monitoring and logging for GenAI workloads to ensure high availability and cost-efficiency.
Cross-Cloud Integration: (Preferred) Support or collaborate on initiatives involving Azure OpenAI Service where cross-platform AI integration is required.
Compliance: Ensure all cloud infrastructure meets rigorous security standards and best practices.
Troubleshooting: Provide high-level technical support for complex infrastructure and connectivity issues.
Mentorship: Collaborate with development teams to promote a culture of DevOps and cloud-native architecture.