Full-Stack Platform Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full-Stack Platform Engineer based in the United States.

We are seeking an experienced Full-Stack Platform Engineer to provide technical leadership and hands-on engineering for a secure enterprise data analytics platform supporting federal operations.
In this role, you will architect and develop scalable web applications, APIs, cloud solutions, and complex data integrations.
You will leverage modern technologies such as React, Node.js, Python, AWS, and advanced data platforms to deliver reliable and high-performance solutions.
You will also drive secure software development practices, DevSecOps automation, and the integration of AI and machine learning capabilities.
Working within a mission-driven environment, you will collaborate with multidisciplinary teams, mentor engineers, and guide critical technical decisions.
This fully remote opportunity offers the chance to contribute to impactful federal technology initiatives while working on modern, security-focused engineering solutions.

As a Full-Stack Platform Engineer, you will lead the architecture, development, and continuous improvement of enterprise platforms while ensuring security, scalability, and operational reliability. Your responsibilities will include:

• Lead the architecture, design, and development of full-stack applications using React, Node.js/Express, Python frameworks such as Flask and FastAPI, REST APIs, and advanced SQL.

• Design, implement, and maintain cloud-based data integrations, ETL/ELT pipelines, and data processing solutions using Databricks or equivalent analytics platforms.

• Develop and enhance data quality capabilities to ensure the accuracy, consistency, and reliability of enterprise data.

• Establish and promote secure engineering and DevSecOps practices, including CI/CD pipelines, automated security testing, containerization, infrastructure as code, and code reviews.

• Integrate AI and machine learning capabilities into enterprise applications, including LLM APIs, retrieval-augmented generation (RAG), and advanced prompt engineering techniques.

• Ensure the secure handling and processing of sensitive information within AI-enabled applications and data workflows.

• Architect and implement solutions within AWS, applying appropriate identity and access management, networking, secrets management, encryption, logging, and security controls.

• Provide technical leadership and architectural guidance throughout the software development lifecycle.

• Mentor and support engineering teams, promoting technical excellence, knowledge sharing, and engineering best practices.

• Troubleshoot complex platform and production issues, identify root causes, and implement effective solutions.

• Communicate technical recommendations, architectural decisions, and potential risks clearly to stakeholders.

• Ensure platform solutions align with federal security requirements and applicable regulatory frameworks.

Requirements

The ideal candidate combines extensive full-stack and platform engineering experience with strong cloud architecture, cybersecurity, and technical leadership capabilities. The following qualifications are expected:

• Must be a U.S. citizen.

• Must be able to obtain and maintain a Public Trust clearance.

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.

• At least 10 years of software or platform engineering experience, including senior technical leadership or solution architecture responsibilities.

• Strong hands-on experience with React, Python and/or Node.js, REST APIs, and advanced SQL.

• Solid experience designing and supporting cloud-based solutions using AWS.

• Familiarity with modern data platforms and analytics technologies, including Databricks or equivalent solutions.

• Experience implementing CI/CD pipelines and modern DevSecOps practices.

• Hands-on knowledge of Docker, Kubernetes or Amazon ECS, Terraform, Git, and automated security testing tools.

• Strong understanding of application security, IAM/RBAC, OWASP practices, observability, and secure cloud architecture.

• Experience supporting federal government or other regulated environments.

• Familiarity with federal cybersecurity and compliance frameworks, including FISMA, NIST SP 800-53, FedRAMP, and Authority to Operate (ATO) processes.

• Ability to lead complex technical initiatives, mentor engineers, and make sound architectural decisions.

• Strong analytical and troubleshooting skills, with the ability to resolve challenging platform and infrastructure issues.

• Excellent communication and collaboration skills, including the ability to explain technical concepts and recommendations to diverse stakeholders.

Preferred qualifications:

• AWS certifications or other relevant cloud architecture credentials.

• CISSP or CompTIA Security+ certifications.

• Databricks certifications or equivalent data engineering credentials.

• Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS), or comparable technical certifications.

Physical requirements:

• Ability to perform standard office and computer-based activities, including sitting, standing, talking, hearing, reaching, and operating computers and office equipment.

• Close vision capabilities required for regular computer work.

• Ability to occasionally lift or move objects weighing up to 15 pounds.

• Fine motor skills and manual dexterity for regular keyboarding and computer use.

• Reasonable accommodations may be provided to enable individuals with disabilities to perform essential job functions.

Benefits

• Annual salary: $190,000–$215,000.

• Fully remote work arrangement.

• Paid time off and holiday pay.

• Medical, dental, and vision insurance.

• Disability insurance, life insurance, and Accidental Death and Dismemberment (AD&D) coverage.

• Flexible Spending Accounts (FSAs).

• Pre-tax 401(k) and/or after-tax Roth IRA retirement savings options.

• Employer matching contributions to retirement plans.

• Tuition reimbursement and technical training support.

• Exercise and wellness reimbursement.

• Computer and equipment reimbursement.

• Employee Assistance Program (EAP).

• Opportunities for professional development and technical growth.

• Inclusive working environment with a commitment to equal employment opportunities.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1