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Why this grade This listing scored 18/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
The Sr. Director, Platform & AI Infrastructure leads the platforms that power Gordian's products and our AI transformation: cloud infrastructure, data platforms, ML/AI infrastructure, incident response, and observability.
This is a builder role. You'll stand up the AI platform that our product and engineering teams build on, modernize how we run production, and establish the incident response and observability programs that scale with us.
Key responsibilities
- AI platform and production ML. Own the AI/ML platform: GPU capacity strategy, model serving and inference latency, training and fine-tuning infrastructure, MLOps and evaluation pipelines, vector and feature stores, and the RAG and agentic patterns our product teams build on. Partner with product engineering and architecture on build-vs-buy decisions across foundation model providers and open-source.
- Incident and observability management. Build out the incident response program: on-call structure, severity definitions, incident command, communication standards, postmortems, and follow-through on systemic fixes. Develop the observability stack across metrics, logs, traces, and synthetics. Set SLOs and report against them.
- Cloud infrastructure. Operate the Azure and OCI footprint. Infrastructure-as-code, capacity planning, and reliability across CPU and GPU workloads.
- Data platforms. Operations, performance, HA/DR, and roadmap for Oracle, SQL Server, MongoDB, and similar.
- Communication. Brief executives on reliability and risk. Lead internal communication during incidents. Speak to customers when major incidents affect them.
- People. Lead a globally distributed team of managers and senior ICs. Maintain a strong culture and leadership bench.
Required
- 10+ years in platform engineering, SRE, infrastructure, or AI/ML infrastructure, with 5+ leading teams.
- Production experience running ML/AI workloads at scale, including GPU infrastructure, model serving, MLOps, or LLM/inference platforms.
- Familiarity with the modern AI stack: vector databases, RAG, agent frameworks, evaluation, and the build-vs-buy tradeoffs across foundation model providers and open-source.
- Built or rebuilt an incident response or observability program at scale.
- Measurable reliability improvements (MTTR, availability, change failure rate) in a cloud environment.
- Effective communicator with executives, the Board, customers, and the company during incidents.
- Zero-trust and modern identity platforms.
Originally posted on Himalayas
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Where this listing came from
- 12 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.