Senior/Staff Software Engineer

Senior/Staff Software Engineer

• Title of Role: Senior/Staff Software Engineer
• Location: Pittsburgh, PA, on-site
• 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 commercial and government data to support workflows across various domains. This company serves key national-security clients, helping them replace manual processes with accelerated, software-driven decision tools.

What You Will Do

• Design, build, and maintain scalable, production-grade software across the full stack, contributing meaningfully to both backend and frontend development.
• Architect and implement complex systems with a high degree of ownership, guiding projects from initial design through deployment and iteration.
• Collaborate closely with product, design, and data teams to translate national-security workflows into intuitive, high-performance software solutions.
• Develop and maintain backend services running on Linux environments, deployed through AWS cloud infrastructure.
• Integrate AI and large language model (LLM) capabilities into existing and new product features, enhancing the platform's functionality.
• Lead technical decision-making within your domain, mentoring engineers and raising the overall quality bar through code reviews and system design guidance.

Ideal Candidate Background

• 8–12+ 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, with a focus on data-driven systems.
• Strong system design ability, 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 agile methodologies and experience working in cross-functional teams.

Compensation and Benefits

This company offers competitive compensation and a dynamic work environment that fosters collaboration and innovation, with opportunities for professional growth and development.