PCIe Senior/Lead Software Engineer at Arista Networks working on high - speed communication between hardware components. Collaborating with hardware, diagnostics, and software engineers to maximize PCIe bandwidth and reliability.
About the role
- Senior Full Stack Software Engineer at AltaML developing high-quality AI-native software solutions. Owning technical delivery and leading implementation across cloud services and modern frameworks.
Responsibilities
- Own technical delivery end-to-end, from shaping the architecture of ML-powered applications to leading implementation across cloud services, APIs, and modern front-end frameworks
- Act as the technical backbone of your project pod, balancing hands-on development with technical leadership, architectural decision-making, and client-facing collaboration
- Lead epic-level solution design, mentor developers on how to get the most out of Claude in their day-to-day workflows, contribute to shared internal frameworks and skills/plugins
- Shape how we evaluate and deploy emerging AI engineering tooling
Requirements
- Degree or equivalent work experience in Computer Science, Software Development, or similar
- 5+ years of experience as a full stack developer
- Demonstrable, hands-on experience using Claude (Claude Code, claude.ai, or the Claude API) as a daily driver for real software engineering work, not just casual chat use
- Proven skills at taking ideas from conception to production, including shipping features that are partly or fully built with AI-assisted workflows
- Strong working experience with Cloud Services (ideally Azure)
- Strong working experience in a modern object-oriented language
- Strong working experience writing clean, readable, and easily maintainable code, and a clear point of view on reviewing and hardening AI-generated code
- Experience with Unit and API testing (e.g., xUnit, Postman, or others)
- Experience working in an agile environment
- Experience with Docker
- Proficiency with Version Control systems (VCS), including working effectively with AI agents in a git-based workflow
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