Principal Software Engineer (Remote)

Required

• You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:
• Built and shipped production-grade platforms: the reusable foundations, tools, infrastructure, and workflows that help other teams shift faster and more reliably
• Taken AI and agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability
• Delivered on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served
• Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, Rust, and SQL
• Actively experimented with AI development tools and translated that experimentation into faster, higher-quality delivery for your teams
• A track record of understanding, assessing, and embracing new tooling and trends within the software industry
• Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents
• Successfully led modernization and replatforming efforts to align legacy systems with short and long-term business needs
• Led and delivered solutions to architecture-level problems including scalability, security, reliability, performance, maintainability, and observability
• Facilitated alignment across technical and non-technical stakeholders to move initiatives forward through ambiguity and complexity