Note: The job is a remote job and is open to candidates in USA. 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 role involves developing user interfaces, backend services, and integrating AI capabilities while ensuring compliance with security standards.

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

Skills

• 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
• 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

Benefits

• 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

Company Overview