Principal Software Engineer

Define the technical vision, architecture, and engineering roadmap for major AI-native engineering workflows and platform capabilities that CEAI will build, validate, operate, and scale. Analyze end-to-end software-development workflows and identify where agents, automation, and shared engineering capabilities can create the greatest value for developers and the business. Design, prototype, and build production-grade agent-driven workflows, services, and tools that span planning, implementation, testing, review, deployment, operations, and learning. Establish clear interfaces, engineering standards, design documents, and reusable implementation patterns that enable other teams to build on and extend the work safely. Evaluate emerging AI development tools, models, and platforms in representative production scenarios, applying sound judgment to reliability, security, quality, cost, performance, and human oversight. Lead 0→1 technical incubation from testable hypothesis to working capability, validate it with real engineering teams, and scale, redirect, or stop the work based on measurable results. Identify, incubate, and evolve common foundations and platform capabilities that improve engineering workflows across the organization, then help scale and operate the resulting services and tools. Own production outcomes for the capabilities you lead, including operational readiness, observability, security, reliability, performance, cost, incident response, and continuous improvement. Influence technical direction across engineering organizations, resolve cross-system dependencies, and align senior stakeholders through clear technical reasoning and demonstrated results. Model AI-native engineering in your own work, mentor engineers, raise the quality bar for design and implementation, and help teams adopt effective practices through working software and practical guidance. Bachelor's Degree in Computer Science or related technical field AND 6+ years of technical engineering experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Bachelor's Degree in Computer Science or related technical field AND 10+ years of technical engineering experience OR Master's Degree in Computer Science or related technical field AND 8+ years of technical engineering experience OR equivalent experience. Proven success leading the architecture and delivery of complex production systems or developer platforms across multiple teams and technical domains. Hands-on experience using current generative AI models, coding agents, and engineering platforms to build production software, with demonstrated judgment about evaluation, reliability, security, and human oversight. Experience improving engineering execution at organizational scale through developer workflows, engineering systems, operating practices, or developer experience, with measurable outcomes. Deep technical expertise in one or more areas such as cloud platforms, distributed systems, developer tooling, identity and security, observability, CI/CD, testing infrastructure, or safe deployment, with working knowledge across adjacent areas. Experience building and operating products for developers, AI-enabled engineering workflows, internal developer platforms, paved roads, developer tooling, or cloud infrastructure in complex brownfield environments. Demonstrated ability to lead through ambiguity, make sound architecture and engineering tradeoffs, and take capabilities from 0→1 through production operation and broad adoption. Demonstrated ability to simplify complex technical problems, align senior stakeholders, mentor engineers, and drive durable change across a matrixed organization without direct authority.