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Futrend Technology, Inc. is seeking a Mid-Level Full Stack & DevOps Engineer to support the National Library of Medicine (NLM) in developing, modernizing, and securing enterprise web applications.
You will work across Python/Django, Java/Spring Boot, and Node.js, while maintaining AWS-based, secure cloud environments. The candidate thrives in federal IT, works with multiple languages, and builds interoperable systems for NIH stakeholders.
Join Us to Make a Difference and Discover Your Potential.
At FUTREND, we support the Federal government on projects that streamline bureaucracy, make government more transparent and improve accountability.
FUTREND provides a broad exposure to many aspects of business, technology and operations that you will not get working at large companies.
You’ll be part of a growing company that listens to your suggestions for improvement. Our employees are an integral part of our success. Come join our team.
Position:Full Stack Python/DevOps Developer
Location: Bethesda, MD
Job Id:4671-2026
# of Openings:0
Futrend Technology, Inc. is an innovative provider of high-value IT solutions supporting mission-critical federal programs. Our practice areas include Healthcare IT, Federal Financial Management, and Grants Management, with an established track record in enterprise modernization and real-time system integration.
Grounded in integrity, excellence, collaboration, and continuous improvement, we invest heavily in our team’s professional growth and technical advancement. We offer competitive compensation and a comprehensive benefits package.
Futrend is seeking a Mid-Level Full Stack & DevOps Engineer to support the National Library of Medicine (NLM) in developing, modernizing, and securing enterprise web applications. This position requires strong full-stack engineering capabilities across Python/Django, Java/Spring Boot, and Node.js, paired with DevOps skills that support automated, secure, AWS-based cloud environments.
The ideal candidate thrives in complex federal IT environments, can work across multiple programming languages, and understands how to build interoperable systems for NIH stakeholders.
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