Why this role stands out
This hybrid role at Golden Tech Systems Inc. offers a unique opportunity to shape cutting-edge AI and security solutions within a prestigious federal agency, fostering significant career growth. You'll thrive here if you possess a strong background in DevSecOps, AWS, and full-stack engineering, coupled with a passion for driving innovation and ensuring robust security architectures. Apply now to leverage your expertise and make a tangible impact in a highly secure and collaborative environment.
Quick overview
Job description
Responsibilities
Collaborate with the AI team to operationalize data pipelines and machine learning workflows.
Provide day-to-day support for deploying and maintaining Python-based ML pipelines in production environments.
Deliver architectural guidance, technical support, and advisory services to ensure identity management systems are properly integrated and meet required security standards.
Support leadership engagement with senior executives at a public-facing federal agency, offering subject matter expertise in security architecture and related technical domains.
Requirements
Minimum of 7 years of experience in Information Technology, with emphasis on development projects utilizing DevSecOps practices and AWS cloud environments. Bachelor’s degree in Computer Science, Information Technology Management, Engineering, or a related field (or equivalent experience in lieu of a degree). Active TS/SCI with CI Polygraph clearance. At least 6 years of full stack engineering experience, including database, server, and client application development, with a proven record of deploying enterprise applications in AWS.
Extensive experience designing, developing, and deploying solutions using AWS services within IL6+ classified environments. Demonstrated success leading large-scale, high-performance enterprise data and application deployments across complex, heterogeneous AWS infrastructures. Strong background in automation, implementation, data, infrastructure/operations, and security engineering within cloud environments.
Capable of performing a wide range of engineering, automation, testing, data, AI/ML, infrastructure, and security tasks in cloud ecosystems.
3+ years of hands-on experience with several of the following technologies: Go, Python, Java, JavaScript, React, AngularJS, TypeScript, and Next.js.
Benefits Package
Comprehensive healthcare coverage (medical, dental, and vision).
Generous PTO and recognition of federal holidays.
401(k) retirement match to help you plan for the future.
Employer-paid STD, LTD, and AD&D insurance for added security.
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