The Role
Leads full-stack software engineering and mission-focused machine learning system development. Collaborates with clients to implement streaming data platforms, plans deployments, deploys software on Kubernetes, develops Python, Java, and JavaScript applications, and creates documentation and tutorials. Requires cloud, database, Linux, shell scripting, ETL, and data pipeline experience, along with a Top Secret clearance and U.S. citizenship.
Summary Generated by Built In
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
- 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
- Although not required, familiarity with Apache NiFi is preferred
- 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
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
Skills Required
- Bachelor of Science in Information Systems, Information Technology, Mathematics, or a related field, plus 9 years of experience; alternatively, a master's degree and 7 years of experience
- U.S. citizenship
- Current Top Secret security clearance with ability to obtain TS/SCI clearance
- IAT Level 1 certification, including CompTIA Security+ and CCNA; may be obtained within 30 days of hire
- Experience with Java, JavaScript, or Python
- Experience with Node.js, D3.js, or React
- Experience with cloud technologies such as AWS or Azure
- SQL and database experience
- Linux and shell scripting experience
- Database and Java big data experience using PostgreSQL and MongoDB
- Object-oriented design patterns knowledge
- SQL and database integration experience
- Experience building data-driven applications using ETL and data pipelines
- Familiarity with Apache NiFi
- Residence in the San Diego area and ability to work onsite in Point Loma three days per week
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The Company
What We Do
Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.
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