Full-Stack Platform Engineer

Edgewater Federal Solutions, Inc.•,

18h•$105,000 - $118,000•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.