Learn more about this opportunity below: TTO16-010 - QUARTERCARAT - Software Engineer Level 1 (Full Stack)

Clearance: TS, SCI w/Polygraph

Location: R&E

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As a Full-Stack Engineer on the JCPG/CAP Discovery Analytics Team, you will directly support analysts and operators within the JC CAP section. Working closely with the team lead, you will play a crucial role in rapidly building a variety of specialized tools and tradecraft to enhance the CNO mission. Your responsibilities will include developing innovative solutions for scalable data analysis, task automation, and workflow improvement through a flexible technology stack. The DAT teams foster an environment that values meticulous attention to detail and craftsmanship, where your contributions have a tangible impact on enhancing user experiences and mission success. The ideal candidate should thrive in this dynamic setting, collaborating closely with a diverse group of users, actively participating in exciting operations, and deriving satisfaction from observing users effectively utilize the tools they create.

 

Responsibilities:

Work closely with the team lead to understand and address the needs of analysts and operators.

Develop cutting-edge solutions for data visualizations, task automation, and workflow enhancements.

Collaborate with cross-functional teams to identify opportunities for optimizing tradecraft and tooling.

Independently drive projects and proposals, taking ownership of the entire development lifecycle.

Design, architect, and implement robust and scalable software solutions that align with project objectives and requirements.

Continuously improve and optimize existing codebase to ensure high performance and maintainability.

 

Skills Requirements:

Familiarity with data science principles and techniques, demonstrating the ability to analyze and derive insights from complex datasets.

Experience with back-end development using Python to create custom libraries and REST API functions.

Familiarity with version control systems like Git for collaborative development.

Proficiency in front-end technologies such as React/Vue/Next, JavaScript, HTML5, and CSS3 for creating user interfaces.

Willingness and ability to learn and adapt quickly on the job, including internal systems unique to CNO.

Problem-solving mindset and a passion for delivering quality solutions.

Eagerness to expand knowledge and stay up to date with industry trends and emerging technologies.

 

Nice to Haves:

Prior experience within CNO

Elasticsearch

Relational databases (MySQL, SQLite, Postgres)

Linux

Devops

Cloud-based experience (AWS/C2S)

CI/CD pipelines

Jupyter Notebooks

Docker, K8s

Software reverse engineering