AI and Data Integration Software Developer Position

7 days ago


Fort Meade, Florida, United States Systems Engineering Solutions Inc Defunct Full time

Systems Engineering Solutions Inc. is seeking an experienced Data Driven Software Developer to join our team in the Global Management Systems (GMS) Team for the Global Solutions Management – Operations II (GSM-O II) contract.

This role requires a strong background in software development, data analysis, and AI/ML technologies. The successful candidate will be responsible for designing, developing, and deploying software solutions that integrate multiple data sources into Confluent (Kafka) and Elastic platforms.

The ideal candidate will have experience with full software lifecycle automation, including design, development, testing, and deployment of software written in Python, JavaScript, Java, and SQL. They should also be familiar with Kibana visualizations, Kafka system integrations, and containerized pipelines.

We are looking for a highly motivated individual who can work independently and collaboratively as part of a fast-paced Agile development team. The candidate must be able to troubleshoot and resolve installation, infrastructure, and system issues.

In addition to technical skills, the candidate should possess excellent communication and collaboration skills, with the ability to work effectively with a geographically dispersed team.

The salary for this position is estimated to be around $**$120,000 per year**, depending on experience. We offer a competitive benefits package, including medical, dental, vision, AD&D, STD, LTD, company-paid life insurance, 401k with employer contribution, paid time off, and pet insurance.

The required qualifications include a Bachelor's degree from an accredited college in a relevant technical discipline and 2+ years of related experience. Must hold an active interim Secret DoD Security clearance or higher. Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of start date.

The preferred qualifications include familiarity with CI/CD techniques, containerized pipelines, and DevOps practices. Experience with artificial intelligence and machine learning techniques, combined with interest in building AI capabilities. Experience in data integration, storage, and analysis technologies like Kafka, Elastic, Spark, and NiFi.



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