Key skills
PythonAWS servicesKubernetesDevOps practicesAPI developmentMicroservice architectureAutomation toolsCloud certificationsProblem-solvingCommunication skillsOrganizational skillsMentorship mindsetTypeScriptAIGenAIAgenticData EngineeringAnalyticsGraphQLAWSTerraformJenkinsGitHub ActionsAnsibleEKSEC2LambdaS3RDSRESTfulGitHubCI/CDCommunicationCollaboration
About this role
Coalfire is a cybersecurity company dedicated to solving complex challenges for its clients. The Principal Architect – AI Systems & Engineering will be responsible for designing and maintaining scalable applications and automation workflows that support AI security and compliance, collaborating with various teams to ensure high-quality system performance.
Responsibilities:
- Design, develop, and maintain scalable full stack applications using Python (and TypeScript where applicable) to support security and compliance agent workflows
- Build and optimize RESTful APIs to enable seamless data exchange across services and systems
- Architect and manage microservice-based solutions on AWS, leveraging Kubernetes for orchestration and scalability
- Implement DevOps best practices including CI/CD pipelines, infrastructure-as-code, and automated deployment strategies
- Develop automation frameworks and tools to reduce manual tasks, improve efficiency, and support AI-driven workflows
- Collaborate with data engineering teams to integrate microservices with analytics platforms and big data pipelines
- Ensure compliance with security standards, governance policies, and cloud best practices
- Monitor, troubleshoot, and optimize system performance, ensuring high availability and reliability of deployed applications
- Provide technical mentorship and contribute to setting best practices for development, DevOps, and cloud engineering
Requirements:
- 10+ years in software development, with demonstrated expertise across front-end, back-end, and DevOps/cloud engineering
- Proficiency in Python (TypeScript a strong plus)
- Proven experience in API development (RESTful/GraphQL)
- Hands-on experience with AWS services (EC2, Lambda, S3, RDS, EKS, etc.)
- Strong background in Kubernetes for container orchestration
- Expertise in DevOps practices, CI/CD pipeline design, and automation tools (e.g., Terraform, Ansible, Jenkins, GitHub Actions)
- Experience working with microservice architectures in production environments
- AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or equivalent cloud/devops certifications
- Strong problem-solving abilities with a focus on designing scalable and secure solutions
- Excellent communication and collaboration skills, with the ability to work cross-functionally in a fast-paced environment
- Highly adaptable and comfortable learning new AI/automation technologies
- Strong organizational skills with the ability to manage multiple priorities under tight deadlines
- Proactive, self-motivated, and able to take ownership of end-to-end development processes
- Mentorship mindset, able to share expertise and uplift junior engineers
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- Legal eligibility to work in the U.S.; willingness to occasionally travel for team workshops or client engagements
- Advanced degree in Computer Science, Engineering, or a related discipline
- Previous experience in security, compliance, or automation engineering roles
- Hands-on experience with big data pipelines, analytics platforms, or data engineering practices
- Familiarity with agentic AI/automation frameworks or GenAI application development
- Additional certifications in Kubernetes (CKA/CKAD), security (CISSP, CISM), or DevOps tooling
- Experience working within highly regulated industries (finance, healthcare, defense, etc.)