• Design, build, and operate components of the AI Gateway including centralized identity and authentication/authorization, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and request-level audit logging. • Build and maintain pieces of the Harness layer including agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state handling across multi-turn interactions, and model abstraction across providers such as AWS Bedrock and Google Vertex. • Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered components, and contribute to the React/TypeScript surfaces that expose platform capabilities to internal teams. • Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless of origin passes through the same policy controls. • Contribute to the Claude and Gemini Enterprise plugin framework by building, testing, and hardening role-based skills and agents, and help mature the pipeline for how plugins are authored, evaluated, and deployed. • Instrument the platform for observability including metrics, tracing, and audit trails, and participate in on-call and operational support for platform services. • Write clear technical documentation and participate in architecture and code reviews, holding a high bar for quality, security, and maintainability. • Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to integrate the platform with governed data sources and shared architectural contracts. • Work with the Sr. Director and model evaluation tooling to help close the loop between evaluation results and model selection, prompt tuning, and routing decisions.

• Operates as the Directly Responsible Individual (DRI) for high-impact initiatives; takes full ownership of project health, system design, and end-to-end delivery. • Partners closely with Product Management and cross-functional teams to clarify ambiguous requirements, map business goals to technical scopes, and manage dependencies. • architectural design, pragmatic task breakdown, and execution planning, driving a team of engineers toward incremental deliverables. • Establish reusable patterns, technical standards, and platform primitives that other teams can build on. • Improve engineering efficiency through better tooling, automation, documentation, observability, and developer workflows. • Mentor engineers, raise the quality of technical decision-making, and help the team execute with consistency. • Drives adoption of AI tooling across the SDLC — building internal capabilities that automate engineering workflows while ensuring security, compliance, and best-practice alignment.

• Develop and maintain full-stack applications using JavaScript, TypeScript, Node.js, and React. • Design and build scalable backend services, APIs, and asynchronous workflows. • Work with browser-based technologies and complex frontend application flows. • Develop applications operating in cloud-native and containerized environments. • Troubleshoot and resolve production issues across frontend, backend, databases, and infrastructure. • Optimize application performance, scalability, reliability, and security. • Work with SQL databases, including schema design, migrations, indexing, and query optimization. • Participate in architecture discussions, code reviews, and technical design sessions. • Write clean, maintainable, and well-tested code. • Improve system observability through monitoring, logging, dashboards, and operational documentation. • Collaborate with globally distributed engineering teams. • Mentor other engineers and contribute to engineering best practices. • Leverage AI-assisted development tools responsibly to improve productivity and code quality.

• Co-own and maintain multiple Golang applications forming the core of our MDR platform • Maintain and enhance a high-performance log analytics engine analyzing events from thousands of sources across hundreds of customers • Maintain and enhance programs that transform engine output into actionable intelligence for SOC analysts • Maintain and enhance a multi-tenant cluster of servers that receive, buffer, and feed syslog-formatted logs to the engine • Maintain and enhance a cross-platform syslog agent that feeds syslog-formatted logs to the engine • Build and maintain a cross-platform security agent that provides visibility into and secures customer endpoints and servers • Make architectural decisions for various applications supporting the business • Influence technical design discussions and code reviews • Mentor and guide other development team members • Facilitate knowledge transfer during any transitionary periods; assisting with training and hiring as needed • Develop and maintain internal SOPs and best practices for software development • Collaborate with cross-functional teams to define, design, and ship new features