Full Stack Cloud Developer

We are seeking a Full Stack Cloud Developer to support the Department of Housing and Urban Development's Office of the Chief Information Officer (HUD OCIO).

The Full Stack Cloud Developer serves as a technical leader responsible for designing, architecting, and delivering secure, scalable, cloud native applications. This role will own end-to-end solution delivery across UI, backend services, data, integrations, and AI/ML capabilities. This role requires deep technical expertise, architectural decision making, and the ability to guide teams in modern engineering practices, DevSecOps, and cloud automation.

This is a fully remote position supporting a federal government contract that requires a federal background check and NACI clearance. Candidates must reside in the United States.

Responsibilities

• Lead architecture, design, and implementation of full stack cloud applications using modern frameworks and cloud native services.
• Define and enforce engineering best practices, coding standards, and architectural patterns.
• Drive system design for scalability, reliability, observability, and cost optimization.
• Conduct architecture reviews, threat modeling, and performance tuning.
• Produce and maintain technical documentation (designs, test plans, architecture diagrams, deployment/runbooks) in approved repositories.
• Build and maintain production grade front end applications using React + TypeScript.
• Develop backend services using Node.js, Python (Django/FastAPI), Java (Spring Boot).
• Design and integrate RESTful and GraphQL APIs; implement secure data flows across SQL/NoSQL systems.
• Build reusable components, libraries, and shared services.
• Architect and deploy applications on AWS, Azure, or GCP using serverless, containers, and managed services.
• Implement IaC using Terraform, ARM, or CloudFormation.
• Own CI/CD pipelines, automated testing, and secure deployment workflows.
• Ensure compliance with FedRAMP, FISMA, NIST 800 53, and federal security controls.

AI/ML Integration

• Integrate AI/ML capabilities using Azure OpenAI, AWS Bedrock, Google Vertex, or similar platforms.
• Build applications using LLMs, embeddings, vector search, and RAG architectures.
• Familiarity with AI governance, responsible AI, and data privacy constraints.
• Implement prompt engineering, model evaluation, and responsible AI practices.
• Collaborate with data teams to integrate AI pipelines and inference workflows.

Team Leadership & Delivery

• Proven ability to lead technical initiatives and mentor engineering teams.
• Mentor junior and mid-level developers; provide technical guidance and code reviews.
• Lead Agile ceremonies and contribute to sprint planning, estimation, and delivery.
• Support demos, technical briefings, and customer engagements.
• Produce high quality documentation including architecture diagrams, runbooks, and design artifacts.

Required Experience and Skills

• 7+ years of full-stack development experience with modern cloud platforms (AWS/Azure/GCP).
• Strong proficiency in JavaScript/TypeScript, Python, Java.
• Front-end development expertise designing and coding user interfaces with frameworks React.js and React + TypeScript.
• Back-end development experience writing server-side logic using Node.js, Python (Django/Flask), Java (Spring Boot), and managing databases PostgreSQL, SQL, NoSQL and ensure secure data handling.
• Cloud integration experience using cloud-native services like serverless functions, container orchestration (Kubernetes, Docker), and managed databases. Deploying applications to cloud platforms (AWS, Azure, GCP).
• API and service management experience building and integrating RESTful or GraphQL APIs and connecting third-party services (payment gateways, authentication providers, etc.).
• Security and scalability experience applying best practices for authentication, authorization, and data protection and designing applications to scale efficiently with cloud resources.
• Security and compliance experience ensuring applications meet FedRAMP, FISMA, and NIST security standards.
• Experience calling AI/ML APIs (Azure OpenAI, AWS Bedrock, Google Vertex, etc.).
• Experience building applications that use Large Language Models (LLMs), Embeddings, Vector search, Chat/completion models.
• Experience integrating AI into front-end and back-end workflows, integrating AI/ML APIs into applications, familiarity with LLMs, embeddings, and RAG architectures, and understanding of AI governance, responsible AI, and data handling constraints.
• Previous experience in regulated/federal government environments is a plus.
• Previous experience supporting HUD OCIO preferred.
• Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Technical Skills

• Languages: JavaScript/TypeScript, Python, Java.
• Frontend: React, Angular, or Vue.
• Backend: Node.js, Spring Boot, .NET Core, or Django/FastAPI.
• API design (REST + GraphQL).
• Data: SQL/NoSQL (PostgreSQL, SQL Server, DynamoDB/MongoDB).
• Cloud/Platform: AWS/Azure, Serverless (Lambda/Functions), containers (Docker, Kubernetes), IaC (Terraform/ARM).
• Cloud networking, IAM, VPC design, load balancing, scaling.
• Infrastructure as Code (Terraform, ARM, CloudFormation).
• CI/CD: Azure DevOps, GitLab CI, Jenkins; test automation frameworks.
• AI/ML: Building LLM powered features (chat, summarization, classification, agents), embeddings, vector search, and RAG pipelines.
• Security: AuthN/Z, secrets management, secure coding practices, FedRAMP, FISMA, NIST 800 53 familiarity

Core Competencies

• Problem solving, systems thinking, and quality mindset.
• Clear written/oral communication with technical and non-technical stakeholders.
• Collaboration and accountability in a fast-paced Agile environment.
• Bias for documentation, knowledge transfer, and continuous improvement.
• Apply Agile practices (Kanban and Scrum) and participate in ceremonies (stand-ups, planning, reviews, retrospectives).

Education and Certifications

• Bachelor's in Computer Science, Information Systems, Software Engineering, or related field (or equivalent experience).
• Preferred certifications: AWS Solutions Architect - Associate/Professional, AWS Developer - Associate, Azure Developer Associate, and/or CKAD / CKA.

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer. May need to lift up to 25 pounds occasionally.

Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT)Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. Our teams combine modern engineering, secure cloud architecture, and emerging technologies including AI/ML to improve customer experiences, operational efficiencies, and mission outcomes. We pride ourselves on being Mission Driven and People Focused delivering emerging technologies seamlessly for our clients. People Focused. To learn more about us, visit https://tanaq.com/tanaq-technical-services., Tanaq Technical Services (TTS) strives to deeply understand and analyze our clients' vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to achieve excellence by delivering on our commitments to our clients, employees, and partners. Our Commitment to Non-Discrimination Tanaq Technical Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify.