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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location and reputable employer increase applicants, but seniority and niche AI platform skills limit competition.
Medium because core devops skills transfer across industries, but AI/LLM platform specialization favors ML-infrastructure backgrounds.
High due to explicit 8+ years requirement plus mandatory Kubernetes, IaC, reliability, and platform engineering expertise.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement scalable distributed AI systems ensuring high reliability, performance, and cost efficiency.
Own and evolve the technical roadmap for AI platform architecture and engineering practices such as testing, observability, and CI/CD.
Lead and mentor engineering teams to build robust production systems and collaborate with ML engineers to productionize AI capabilities.
Minimum Requirements
8+ years experience building and operating distributed systems in production.
Proven track record of improving system reliability to 99.9%+ uptime.
Expertise in microservices, Kubernetes, infrastructure as code, and strong full-stack coding skills.
Experience leading technical initiatives and mentoring engineering teams.
Ideal Candidate Profile
Experienced in pragmatic decision-making balancing feature completeness and timely delivery in production systems.
Background working with high-growth, modern engineering cultures and scaling complex AI/ML infrastructure.
Technical leader comfortable bridging engineering and AI research teams and driving long-term platform evolution.