Senior Software Engineer/Software Engineer II

Lead the design and implementation of AI-native engineering workflows and platform capabilities within a defined technical area.

Analyze end-to-end software-development workflows and identify where agents, automation, or shared engineering capabilities can remove friction and improve outcomes.

Design, prototype, and build production-grade agent-driven workflows, services, and tools spanning areas such as planning, implementation, testing, review, deployment, operations, and learning.

Write clear design documents, define interfaces, and create maintainable implementation patterns that teammates and partner teams can safely build on.

Evaluate emerging AI development tools, models, and platforms in representative scenarios, considering reliability, security, quality, cost, performance, and appropriate human oversight.

Drive scoped 0→1 experiments from hypothesis to working capability, validate them with engineering teams, and use measured results to improve, scale, redirect, or stop the work.

Contribute to common foundations and platform capabilities that improve engineering workflows, and help bring resulting services and tools into reliable production use.

Own the quality and production readiness of the capabilities you deliver, including testing, observability, security, reliability, performance, cost, incident response, and continuous improvement.

Collaborate across teams to resolve dependencies, communicate technical decisions clearly, and influence the design of adjacent systems through sound engineering judgment and demonstrated results.

Use AI-native engineering practices in your own work, mentor other engineers, contribute to design and code reviews, and help teams adopt effective practices through working software and practical guidance.

Bachelor's Degree in Computer Science or related technical field AND 2+ 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 4+ years of technical engineering experience; OR Master's Degree in Computer Science or related technical field AND 2+ years of technical engineering experience; OR equivalent experience.

designing and delivering production software, developer tools, services, or platform components as part of a collaborative engineering team.

using generative AI models, coding agents, or engineering platforms to build software, with awareness of evaluation, reliability, security, and appropriate human oversight.

improving developer workflows, engineering systems, operating practices, or developer experience and using feedback or measurements to assess the results.

Working knowledge in one or more areas such as cloud platforms, distributed systems, developer tooling, identity and security, observability, CI/CD, testing infrastructure, or safe deployment.

building or operating products for developers, AI-enabled engineering workflows, internal developer platforms, developer tooling, or cloud infrastructure is preferred.

Demonstrated ability to work through moderately ambiguous problems, make sound implementation tradeoffs, and take well-defined features from design through production operation.

Demonstrated ability to communicate technical ideas clearly, collaborate across team boundaries, learn from feedback, and contribute positively to team engineering practices.