Key skills
PythonTypeScriptAPI developmentRESTful APIsGraphQLAWS servicesEC2LambdaS3RDSEKSKubernetesDevOps practicesCI/CD pipeline designTerraformAnsibleJenkinsGitHub ActionsMicroservice architecturesCloud engineeringAWS Solutions Architect certificationGCP Solutions Architect certificationAzure Solutions Architect certificationAWS DevOps Engineer certificationGCP DevOps Engineer certificationAzure DevOps Engineer certificationSecurity standards complianceGovernance policies complianceCloud best practicesBig data pipelinesAnalytics platformsData engineeringAgentic AI frameworksGenAI application developmentKubernetes certificationsSecurity certificationsCISSPCISMMentorshipAIGenAIAgenticData EngineeringAnalyticsAWSAzureGCPAzure DevOpsRESTfulGitHubCI/CDCommunicationCollaboration
About this role
Coalfire is a company dedicated to enhancing cybersecurity solutions and is seeking a Principal Architect to lead the design and implementation of scalable applications for AI security and compliance. This role involves collaborating with various teams to ensure the integration of services while maintaining high security standards and optimizing system performance.
Responsibilities:
- Design, develop, and maintain scalable full stack applications using Python to support security and compliance agent workflows
- Define and implement frameworks and systems to measure confidence intervals and output reliability of non-deterministic systems ensuring statistically significant outcomes from agents
- Build and optimize RESTful APIs to enable seamless data exchange across services and systems
- Implement secure 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, applicable compliance standards based on client need, 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
- Successful completion of required training is a core expectation of this role (e.g., Agentic AI course). Dedicated study hours will be allocated to support your preparation. In the event training is not passed/achieved, a structured improvement plan will be provided to guide you toward successful completion
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/GCP/Azure Solutions Architect, AWS/GCP/Azure DevOps Engineer, or equivalent cloud/devOps certifications
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). A degree is not required if you can demonstrate equivalent understanding of the subject matter
- 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
- 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.)