Consulting Member of Technical Staff

Responsibilities

• Lead the architecture, implementation, testing, rollout, and operation of high-scale distributed systems, APIs, services, data pipelines, platform components, and security product capabilities.
• Own multi-quarter, multi-team initiatives end to end, from ambiguous product, customer, and security requirements through design, execution, launch, observability, and production support.
• Architect for reliability, scalability, low latency, multi-tenancy, fault isolation, backpressure, graceful degradation, data consistency, and operational visibility.
• Design and operate security-sensitive product capabilities at scale, including identity boundaries, authorization and policy controls, auditability, threat signals, secrets handling, compliance controls, and secure integration points.
• Establish agentic-first engineering workflows for planning, prototyping, debugging, refactoring, test generation, documentation, code review, and delivery while maintaining clear human accountability.
• Build or integrate production AI/agent workflows, including tool use, RAG, agent harnesses, evaluation suites, workflow orchestration, AI observability, guardrails, and LLM-backed experiences.
• Define engineering quality and operational standards across automated testing, CI/CD, deployment automation, release readiness, incident response, post-incident follow-up, and documentation.
• Apply secure-by-default and responsible-AI practices across identity, access control, secrets handling, dependency hygiene, data protection, threat modeling, secure code review, and AI safety controls.
• Partner with product, architecture, security, operations, data, and platform teams to translate broad goals into technical roadmaps, tradeoff decisions, and executable plans.
• Mentor senior engineers, lead design reviews, serve as a technical escalation point, and define standards for maintainable, supportable, production-grade software across teams.

Qualifications

• 12+ years of software engineering experience, or equivalent Senior Staff / Principal-level impact, including ownership of business-critical production systems.
• Demonstrated ability to lead multi-team architecture, make high-judgment technical tradeoffs, and influence engineering direction without relying on direct reporting authority.
• Strong programming ability in one or more languages such as Java, Python, Go, C++, Rust, or TypeScript, with the ability to dive deeply into unfamiliar codebases.
• Proven experience designing and operating distributed systems, cloud services, SaaS platforms, data systems, or infrastructure services at scale.
• Hands-on experience building or operating large-scale security products or security-sensitive cloud platform capabilities, such as identity and access management, authorization or policy engines, secrets or key management, audit/compliance, threat detection, vulnerability management, data protection, or cloud security posture.
• Deep knowledge of system design, APIs, data modeling, concurrency, asynchronous processing, failure modes, consistency tradeoffs, performance analysis, and production troubleshooting.
• Experience with cloud platforms, containers or Kubernetes, CI/CD, observability, automated testing, deployment automation, SLOs/SLIs, on-call practices, and operational readiness.
• Hands-on use of AI-assisted and agentic development tools such as ChatGPT, Claude, Copilot, Cursor, Codex, Claude Code, or similar systems.
• Practical experience with LLM and agent patterns such as prompt engineering, structured outputs, RAG, tool/function calling, agent frameworks, harnesses, evaluations, guardrails, or workflow automation.
• Strong security judgment, communication skills, and technical leadership across secure coding, dependency management, data privacy, incident-aware engineering, and cross-team execution.