Hiring brief scenarios
Build the Platform Engineer brief around the work.
These scenarios connect location context to role responsibilities. Use them as prompts to verify with the employer, not as measures of San Jose demand, clients, or candidate supply.
Sourced artificial intelligence and software context
Models, products, and production services: Platform Engineer
The City of San Jose identifies artificial intelligence as a priority growth sector and includes AI training and job-matching programs in its fiscal year 2025 to 2026 economic plan. Map the local operating context to platform isolation and access. Ask how the engineer would separate teams, data classes, and environments while keeping common services supportable. AI product work can join source data, models, application code, evaluation, user feedback, cost controls, access rules, and production support under separate owners.
Evidence to request: Review a platform architecture with tenancy, identity, network, secret, and observability decisions tied to user needs. Define the user decision, model boundary, source data, evaluation set, deployment path, access control, cost target, failure response, and approving product owner.
Sourced semiconductors and advanced manufacturing context
Engineering, fabrication, and supply controls: Platform Engineer
A July 2025 City of San Jose economic-development release names advanced manufacturing and semiconductors among the industries the city plans to attract, retain, and grow. Define the developer workflow that needs improvement. Candidates should show how they measured build, deploy, provisioning, or incident steps before choosing a platform change. Semiconductor and manufacturing programs may connect product definitions, equipment, process recipes, production schedules, quality results, suppliers, inventory, maintenance, and cost records.
Evidence to request: Ask for a before-and-after developer workflow with measured steps, adoption evidence, and support cost. Set the design or plant boundary, product revision, process control, equipment interface, traceability unit, quality release, supplier handoff, change window, and support owner.
Sourced data centers and energy infrastructure context
Capacity, continuity, and facility operations: Platform Engineer
San Jose's July 2026 large energy-use project page distinguishes data centers from research laboratories, advanced manufacturing sites, electric-vehicle charging hubs, and other power-intensive facilities. State the reliability boundary between the platform team and application teams. Include upgrades, capacity, backups, incident routing, and deprecation in the role scope. These facilities can combine power, cooling, networks, physical security, capacity, asset maintenance, environmental controls, backup systems, and tenant or workload commitments.
Evidence to request: Use an upgrade or outage scenario and require a maintenance plan, communication path, rollback, and ownership matrix. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.