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