Sourced artificial intelligence and software context
Models, products, and production services: DevOps 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. Connect the operating context to release risk. Ask how the engineer would design tests, approvals, and deployment stages for systems with the stated data and availability constraints. 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 pipeline change with test gates, artifact handling, deployment strategy, and measured effect on release safety. 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: DevOps 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. Set the infrastructure-as-code boundary across accounts, networks, compute, identity, and managed services. Require a plan for state, review, drift, and recovery. Semiconductor and manufacturing programs may connect product definitions, equipment, process recipes, production schedules, quality results, suppliers, inventory, maintenance, and cost records.
Evidence to request: Use an infrastructure pull request or redacted module design to assess structure, secrets handling, state, and rollback. 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: DevOps 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. Define incident responsibility before hiring. Candidates should show how they used logs, metrics, traces, and change history to restore service and prevent recurrence. These facilities can combine power, cooling, networks, physical security, capacity, asset maintenance, environmental controls, backup systems, and tenant or workload commitments.
Evidence to request: Ask for an incident timeline that names the signal, mitigation, contributing change, follow-up owner, and verification step. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.