Senior DevOps Engineer (REMOTE)

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Senior DevOps Engineer to support KITS and their government customer. The role focuses on implementing and managing secure cloud infrastructure solutions using AWS/Azure services while supporting key AI and machine learning initiatives.

Responsibilities:

• Designing and implementing secure cloud infrastructure solutions on AWS
• Implementing security policies and best practices for cloud-based applications
• Collaborating with development teams to integrate security into the CI/CD pipeline
• Monitoring systems for security vulnerabilities and conducting regular security audits
• Engaging in incident response activities and addressing security issues promptly
• Automating security processes and configuration management
• Implementing and managing AWS/Azure services and resources
• Support AI/ML workloads by designing and operating AWS-based data and model infrastructure
• As needed, build and manage platforms leveraging services such as SageMaker and Bedrock
• Partner with data science and product teams, as appropriate, to deliver Production-ready AI solutions
• Implement governance, security, and cost controls for AI workloads
• Collaborating with cross-functional teams to ensure security and compliance requirements are met

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field from an accredited college or university
• 5+ years of experience in DevOps engineering with a focus on security
• AWS Certified Solutions Architect or AWS Certified DevOps Engineer
• Experience with implementing security controls in cloud environments
• Strong knowledge of AWS services and hands-on experience with AWS cloud infrastructure
• Experience with infrastructure as code tools such as Terraform or CloudFormation
• Proficiency in scripting languages like Python, Bash, or PowerShell
• Understanding of security best practices and common security threats
• Experience with containerization technologies like Docker and Kubernetes
• Experience supporting data platforms or AI/ML workloads in Production
• Ability to work collaboratively in a fast-paced environment
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders
• Ability to obtain a public trust
• Experience working in a federal government IT environment
• Knowledge of compliance frameworks such as FedRAMP, FISMA, or NIST
• Experience with security assessment tools and vulnerability scanning
• Familiarity with DevSecOps practices and CI/CD pipelines
• Experience with AI/ML platforms (SageMaker, Bedrock, custom ML pipelines)
• Experience supporting LLM-based applications or model inference workloads
• Familiarity with MLOps concepts
• AWS Certified Security - Specialty certification
• Experience with security incident response and forensics