Enterprise Architect

Key Responsibilities

• Innovative Architecture & Development: Lead the design and implementation of full-stack solutions using a dynamic suite of technologies. Apply best-in-class architectural principles to build scalable, secure, and resilient applications across the stack.
• Direct Collaboration with CTO: Work closely with the CTO on key decisions, gaining exposure to strategic planning and high-level architecture that will propel your career and deepen your technical expertise.
• Advanced Tech Stack Integration: Harness the full potential of our tech suite, which includes Graph Databases, multi-agent frameworks, Kafka, ElasticSearch, Spark, and other cutting-edge tools. Go beyond the languages—utilize our stack’s capabilities to implement advanced data processing and analytics pipelines.
• DevSecOps & CI/CD Best Practices: Apply DevSecOps and CI/CD principles using container orchestration platforms and tools to drive secure, efficient, and automated software delivery.
• Generative AI Integration: Employ generative AI technologies, including embedding models and model interaction, to enhance data insights and analytics, focusing on impactful AI applications without requiring fine-tuning.
• Enterprise-Scale Data Handling: Architect solutions for managing and analyzing massive data volumes, using advanced patterns like event sourcing and frameworks like Apache Spark to ensure real-time data capabilities.
• Agile & SCRUM Best Practices: Apply Agile methodologies, including Scrum, to promote effective project workflows in collaboration with cross-functional teams.
• Security & Compliance: Ensure adherence to DoD security and compliance standards (e.g., NIST, FISMA) through best practices in data security and regulatory compliance.

Required Qualifications

• Must have an active Secret clearance 
• 7+ years in full-stack development or enterprise architecture, with hands-on experience in React, Java (Spring Boot), TypeScript, Python, and Node.js.
• Proven experience with large-scale, complex tech stacks that leverage diverse tools, frameworks, and architectures.
• Familiarity with DevSecOps and CI/CD principles, with experience in containerization and orchestration tools.
• Knowledgeable in generative AI, embedding models, and applications of AI in real-world solutions.
• Expertise in high-scale architectures, including microservices and zero trust, with the ability to flexibly adapt to specific project needs.

Technical Skills

• Proficiency in React.js and Java (Spring Boot), with a solid understanding of large-scale architecture.
• Advanced knowledge of Graph Databases, Kafka, ElasticSearch, Spark, and multi-agent frameworks for data processing.
• Familiarity with relational and NOSQL databases and integration with RESTful APIs.
• Experience with cloud infrastructure (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitLab, Terraform).
• Knowledge of security protocols and DoD compliance standards (FISMA, NIST).

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