Software Engineer Principal

SAIC•San Diego, CA

21h•Hybrid

About The Position

SAIC is looking for a Principal Software engineer to join our Solutions and Technology group. This is a hybrid role and candidates must resided in the San Diego area with the ability to work at our Point Loma location. Candidates must be able to go on site 3 days a week. Candidates must be able to do the following: In a technical capacity, collaborate closely with clients to guarantee the seamless implementation of a streaming data platform and create innovative solutions that leverage it. According to client requirements, specify, construct, test, and implement specialized machine learning and/or other mission-focused systems. Engage in deployment and execution planning alongside clients. Directly support deployment of software on Kubernetes. Produce documentation for clients in order to assist with custom applications. Provide tutorials and technical information for product documentation. Full stack development using Python, Java, or JavaScript for front-end and back-end apps (node.js, D3.js, and React). Java / Python development.

Requirements

Bachelor of Science in Information Systems / Information Technology / Mathematics or related field and nine (9) years of experience. Masters and 7 years of experience
Candidates must be a US Citizen
Candidates must have a Top Secret clearance with the ability to obtain a TS/SCI clearance
IAT Level 1 (CompTIA Security + and CCNA) certification (can be obtained within 30 days of hire)
Must have experience with at least one of the following: Java, JavaScript or Python
Must have experience with at least one of the following: node.js, D3.js, or React
Must have experience with Cloud technologies such as AWS or Azure
Must have experience with SQL/Database
Must have experience with Linux and Shell scripting
Database / Java – Big data experience using Postgres on Mongo
Comprehending of design patterns that are object-oriented
SQL / Database integration experience
Familiar with Linux commands and shell scripting
Experience building data-driven applications with an understanding of ETL and data pipelines that support them
Experience working with Cloud technologies such as Azure and AWS

Nice To Haves

Although not required, familiarity with Apache NiFi is preferred

Responsibilities

In a technical capacity, collaborate closely with clients to guarantee the seamless implementation of a streaming data platform and create innovative solutions that leverage it
According to client requirements, specify, construct, test, and implement specialized machine learning and/or other mission-focused systems
Engage in deployment and execution planning alongside clients
Directly support deployment of software on Kubernetes
Produce documentation for clients in order to assist with custom applications
Provide tutorials and technical information for product documentation
Full stack development using Python, Java, or JavaScript for front-end and back-end apps (node.js, D3.js, and React)