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Edgewater Federal Solutions, Inc.

engineering opportunity

Full-Stack Platform Engineer

The Full-Stack Platform Engineer will lead the architecture, design, and development of secure, scalable web applications and data integration pipelines. They will also provide technical leadership, mentor engineering staff, and implement DevSecOps practices within a federal cloud environment.

United StatesremoteFULL_TIME

Posted

About the role

What will you do at Edgewater Federal Solutions, Inc.?

Overview

Edgewater Federal Solutions is seeking an experienced Full-Stack Platform Engineer. The Full-Stack Platform Engineer provides 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.

*Due to the nature of the work and contract - US Citizenship is required.

*This is a remote role.

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.

Qualifications

  • US Citizenship 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.
  • Preferred certifications include AWS, CISSP/Security+, Databricks, CKA/CKS, or comparable technical credentials.
  • Salary = $200,000 - $220,000
  • Working at Edgewater Federal Solutions:
  • Edgewater Federal Solutions is a privately held government contracting firm located in Frederick, MD. The company was founded in 2002 with the vision of being highly recognized and admired for supporting customer missions through employee empowerment, exceptional services, and timely delivery. Edgewater Federal Solutions is ISO 9001, 20000-1, 270001 certified, appraised at CMMI Level 3 Maturity for Development and Services, and has been named in the Top Workplaces in the Greater Washington Area Small Companies since 2018.
  • Edgewater Federal Solutions is an Equal Opportunity Employer. It has been and continues to be our policy to provide equal employment to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, marital status, veteran status and/or other status protected by applicable law.

Which skills does this role require?

ReactNode.jsPythonREST APIsSQLETL/ELTDevSecOpsCI/CDDockerKubernetesTerraformAI/MLIAMFISMAFull-StackPlatform EngineeringExpressFlaskFastAPIETLELTGitLLMRAGNIST 800-53FedRAMPATOSecurity+JavaScriptMachine LearningLLMs

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