Full-Stack Platform Engineer

Overview Overview of the Role: Edgewater Federal Solutions is seeking an experienced Full-Stack Platform Engineer to build, secure, and evolve a production-grade enterprise data analytics platform supporting a federal agency. The platform supports large-scale data ingestion, validation, transformation, and analytical review across multiple statistical programs. This hands-on role spans React UIs, cloud infrastructure, AI integration, and compliance-driven security controls. The ideal candidate is security-first, shift-left in mindset, builds for end-users, and treats compliance as built-in — not bolted on. This is a 100% remote position. Responsibilities Responsibilities: Include, but are not limited to the following: - Develop and maintain React-based UIs: dashboards, data review interfaces, maps, and visualization components. - Build backend services using Node.js/Express and Python (Flask/FastAPI) API services. - Design advanced SQL queries and create scalable Python data pipelines using pandas, NumPy, and PySpark. - Implement data validation rules, edit checks, imputation tracking, and data quality indicators. - Integrate AI/ML capabilities including LLM APIs (Claude, OpenAI), prompt engineering, RAG patterns, anomaly detection, and predictive modeling. - Create and maintain CI/CD pipelines (GitLab, GitHub) with integrated security scanning (SAST, DAST, SCA), container security, and policy-as-code. - Manage containerized deployments (Docker, Kubernetes) with image signing and runtime protection. - Strengthen platform security through authentication, secrets management, encryption, threat modeling, and vulnerability remediation. - Deploy and support applications on AWS, manage ETL/ELT pipelines, and optimize performance, reliability, and cost. - Maintain compliance with FISMA, NIST 800-53, CIPSEA, and FedRAMP-related controls and documentation. - Collaborate with analysts, technical leads, PMs, and stakeholders to deliver iterative features and support user testing. Qualifications - US Citizenship Required - Must be able to obtain and maintain a Public Trust - Frontend: 3+ years with React, ES6+, state management, and data visualization tools such as Chart.js, Recharts, or D3.js. - Backend: 3+ years with Node.js/Express or Python (Flask/FastAPI), advanced SQL, RESTful APIs, JWT/RBAC, and OWASP Top 10 practices. - AI / ML: Experience with LLM API integration, prompt engineering, RAG, and machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow. - DevSecOps: CI/CD with GitLab CI or GitHub Actions, SAST/DAST/SCA tooling, container security, and artifact signing. - Cloud: AWS, Terraform, VPC, IAM, WAF, CSPM, and SIEM integration. - Data: ETL/ELT pipelines, Databricks or equivalent, pandas, PySpark, and data quality validation on large datasets. - Configuration: YAML-based business rules, schema validation, integrity verification, and hot-reload support. - Compliance: Familiarity with FISMA, NIST 800-53, FedRAMP, SSP/SAR/POA&M, audit logging, and privacy requirements. Preferred Qualifications: Security: CISSP, CEH, CompTIA Security+, GSEC, CDP Cloud: AWS Certified Security — Specialty DevOps: CKA, CKS, Docker Certified Associate Data: Databricks Certified Data Engineer, PCAP / PCPP Compliance: CRISC, CISM Salary: $105,000.00 - $118,000.00 Additional benefits include: - Paid Time Off & Holiday Pay - Medical Insurance - Dental Insurance - Vision Insurance - Disability, Life Insurance, and AD&D - Flexible Spending Accounts - Pre-Tax 401K and/or After-Tax Roth IRA (with employer matching contribution) - Tuition and Technical Training Reimbursement - Wellness Benefit - Tech Reimbursement - Employee Assistance Program Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable ind