Principal Software Engineer

Engineer

Principal Software Engineer

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  • Date posted
    August 7, 2026
  • Expiration date
    November 7, 2026
  • Application ends
    November 7, 2026

We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energizes you, you’ve found the right place.

Who You Are

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, 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
  • Provided mentorship and team support at scale, while sharing knowledge and improving team practices
  • Collaboratively led stakeholders to balance technical considerations with product and user needs
  • Actively sought out and effectively given feedback
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