Company Stage of Funding: Private Equity — Software Development
Office Type: On-site
Salary: [To be confirmed with final candidates]
Company Description
We're representing a software company that transforms defense acquisition and national-security decision-making through data, analytics, and AI. Their flagship product is a suite of AI-enabled applications built on a proprietary knowledge graph that integrates diverse data sources to enhance workflows across various domains, including supply chain and logistics. This company serves key defense and national-security clients, empowering them to streamline manual processes with advanced, software-driven decision tools.
What You Will Do
Design, build, and maintain scalable, production-grade software across the full stack, contributing to both backend and frontend development.
Architect and implement complex systems with high ownership, guiding projects from initial design through deployment and iteration.
Utilize modern JavaScript frameworks, particularly React and Node.js, to create responsive, data-rich application interfaces and services.
Develop and manage backend services operating in Linux environments, deployed through AWS cloud infrastructure.
Collaborate with cross-functional teams to translate national-security workflows into intuitive, high-performance software solutions.
Integrate AI and large language model (LLM) capabilities into existing and new product features, enhancing overall platform functionality.
Lead technical decision-making within your domain, mentor engineers, and elevate the quality of the codebase through constructive feedback and guidance.
Ideal Candidate Background
10+ years of professional software engineering experience, with a proven track record of delivering scalable production systems.
Deep proficiency in Linux environments and a strong command of system-level fundamentals.
Hands-on experience with JavaScript, React, and Node.js in production applications.
Significant experience designing and operating workloads on AWS.
Strong system design skills, capable of architecting distributed, data-intensive applications and articulating design trade-offs clearly.
Preferred
Experience with AI and the LLM ecosystem, including working with foundation models and prompt engineering.
Familiarity with building scalable data ingestion pipelines and analytics platforms.
Compensation and Benefits
This company offers a competitive salary and comprehensive benefits package, fostering a dynamic environment where innovation and collaboration thrive.