4 months ago
Responsibilities
- Own architecture, technical design, and end-to-end delivery for the team’s platform area.
- Drive high-risk technical decisions and resolve ambiguous problems in the team’s domain.
- Design and build production-grade AI systems spanning agents, LLMs, and RAG, emphasizing reliability, evaluation, and scale.
- Lead mission-critical initiatives from problem framing through production and iteration.
- Establish engineering best practices, coding standards, architectural patterns, and AI-native development practices.
- Mentor senior and mid-level engineers through hands-on work, code reviews, and design reviews.
- Partner with product and design counterparts to define requirements and align priorities.
- Stay current with software engineering and applied AI advances and apply relevant improvements to the platform.
Requirements
- 8+ years of backend engineering experience or equivalent, including experience as a technical lead or architect for a team or significant product area.
- Deep experience architecting and scaling production-grade distributed systems.
- Strong fluency in Go, Python, or another major backend language, preferably statically typed.
- Proven ability to set technical direction and deliver complex, high-impact projects.
- Hands-on experience building or scaling production AI systems, ideally LLM-based, agentic, or retrieval-augmented systems.
- Strong business acumen and ability to connect technical solutions to business value.
- Excellent interpersonal, collaboration, consensus-building, and cross-functional relationship skills.
- Bachelor’s degree or higher in Computer Science or equivalent experience.
- Preferred: experience taking high-impact products from concept to market at scale.
- Preferred: experience building agentic or LLM-powered products in production, including evaluation and reliability practices.
- Preferred: cybersecurity depth in security operations, SIEM, SOAR, EDR, XDR, or detection engineering.
- Preferred: early-stage or founding engineer experience at a fast-moving startup.
Benefits
- Full-time employment.
- Fully remote work arrangement.
- Equal employment opportunity workplace.
Categories
About Crogl
Crogl builds an AI-driven security operations platform that automates alert triage, investigations, and threat hunting for SOC teams and managed security providers. It integrates with existing security tools and can be deployed in private cloud or on‑prem environments, reducing reliance on prewritten playbooks. Founded in 2023 and privately held, the company targets teams seeking consistent incident response and the ability to reanalyze historical alerts at scale.