Senior Software Engineer II- AI Developer Experience (Remote USA)

Optro is a leading audit, risk, ESG, and InfoSec platform that has surpassed $300M ARR. The Senior Software Engineer II within the APEX team will architect and evolve the Shared AI Tooling Layer (SATL) to enhance developer experience and build production-grade platforms while staying at the forefront of AI advancements.

Responsibilities:

• Develop within SATL: Architect and build core workflows, hooks, and services within the Shared AI Tooling Layer (SATL) to integrate off-the-shelf LLMs deeply into our engineering environment
• Lead Technical Scouting & Prototyping: Continuously research, prototype, and evaluate rapid advancements in the AI developer-tooling space (e.g., new LLM APIs, agentic orchestration, context-management protocols, and IDE integrations). Strategically define which technologies are ready for platform-level adoption and which are distractions to be safely ignored
• Expand the SATL Platform: Design, scale, and maintain the shared foundation of SATL for distributing and managing AI tool configurations, establishing a highly reliable, performant framework for shared rules, skills, lifecycle hooks, and MCP configurations across developer environments
• Build Safe Execution Environments: Create the runtime guardrails, permission scoping, and execution sandbox patterns required for safe, programmatic codebase modifications
• Architect Platform Observability: Build telemetry systems that track automated tooling interactions, token consumption, and execution paths, providing visibility into programmatic contributions
• Track Tooling Utility: Establish the infrastructure to measure the quality and impact of automated contributions (e.g., analyzing automated PR success rates) to shape our platform roadmap
• Strategic Partnership: Collaborate closely with platform, security, and developer infrastructure stakeholders to align automation guardrails, security baselines, and developer-facing APIs across PED

Requirements:

• 6+ years of professional software engineering experience, with a solid history of building internal developer platforms, developer tools, or shared API infrastructure
• AI Tooling Extension: Hands-on experience building with or extending developer-facing AI tools (such as designing custom CLI helpers, building developer integrations, or creating Model Context Protocol (MCP) servers)
• Practical LLM Integration: Substantial hands-on experience working with LLM APIs, building system prompts, and orchestrating stateful programmatic workflows
• Technical Mastery: Deep proficiency in TypeScript and Node.js, combined with expert-level comfort writing shell scripting and building CLI tooling
• Evaluative Rigor & Signal Filtering: Proven expertise in critically evaluating emerging technical architectures, bypassing marketing hype, and making pragmatic, evidence-based recommendations on tooling adoption
• Platform Mindset: Strong architectural instinct for designing clean, extensible abstractions and APIs that other developers (and automated scripts) can reliably consume
• Communication & Influence: A collaborative track record of driving technical alignment and platform adoption across a 300+ person organization through empathy, clear evidence, and EDD (Engineering Design Doc)-driven alignment
• Comfort with Ambiguity: Adaptive and proactive in the face of rapidly evolving developer tooling, with a history of adapting and leading through technical uncertainty
• Deep experience customization or workflow development specifically using Claude Code (primarily) or GitHub Copilot (secondarily)
• Experience building or maintaining shared tooling layers, internal CLI frameworks, or developer telemetry pipelines
• Familiarity with monorepo architectures and how automated tooling interacts with build tools (e.g., pnpm, Turborepo)