Full-Stack Platform Engineer

Edgewater Federal Solutions, Inc.•,

1d•$190,000 - $215,000•Remote

About The Position

Edgewater Federal Solutions is seeking an experienced Full-Stack Platform Engineer to provide senior technical leadership and hands-on engineering for a secure enterprise data analytics platform supporting a federal environment. The role designs and delivers scalable web applications, APIs, data integrations, cloud solutions, and secure development practices while guiding technical decisions and resolving complex platform issues. This is a remote role. U.S. citizenship is required, and the successful candidate must be able to obtain and maintain a Public Trust.

Requirements

U.S. citizenship is required.
Must be able to obtain and maintain a Public Trust.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
10+ years of software/platform engineering experience, including senior technical leadership or architecture responsibilities.
Strong experience with React, Python and/or Node.js, REST APIs, advanced SQL, AWS, and modern data platforms.
Hands-on experience with CI/CD, Docker/Kubernetes or ECS, Terraform, Git, and automated security tooling.
Knowledge of application security, IAM/RBAC, OWASP practices, observability, and secure cloud architecture.
Experience supporting federal or regulated environments and familiarity with FISMA, NIST 800-53, FedRAMP, and ATO processes.

Nice To Haves

AWS, CISSP/Security+, Databricks, CKA/CKS, or comparable technical credentials.

Responsibilities

Lead architecture, design, and development of full-stack solutions using React, Node.js/Express, Python (Flask/FastAPI), REST APIs, and advanced SQL.
Design and support cloud-based data integrations, ETL/ELT pipelines, Databricks or equivalent analytics services, and data quality capabilities.
Establish secure engineering and DevSecOps practices, including CI/CD, automated security testing, containerization, infrastructure as code, and code reviews.
Integrate AI/ML capabilities, including LLM APIs, RAG patterns, prompt engineering, and secure handling of sensitive data.
Architect solutions within AWS using appropriate IAM, networking, secrets management, encryption, logging, and security controls.
Provide technical leadership, mentor engineers, support production troubleshooting, and communicate technical recommendations to stakeholders.