Staff Infrastructure Engineer, Production Optimization
Employment type
Full-time
Work setting
On-site
Location
Santa Clara, CA
Schedule
Day shift
Posted
You'll be redirected to the employer's application page.
Job overview
The Staff Infrastructure Engineer, Production Optimization role is onsite in Santa Clara, CA. Compensation is not specified. The role works across production and engineering teams to improve end-to-end workflows. The engineer identifies bottlenecks affecting delivery, cost, and quality, then leads cross-team changes to address them. By measuring outcomes and turning successful improvements into reusable capabilities, the role supports more efficient and reliable production operations.
What you'll do
- Map production workflows and use operational data and frontline feedback to identify delays, rework, resource constraints, and ownership gaps
- prioritize improvements by impact, effort, and dependencies
- align teams on outcomes and milestones
- lead changes across infrastructure, services, tooling, and working practices
- establish and track delivery lead time, throughput, quality, and unit cost baselines
- verify improvements and develop reusable capabilities.
What we're looking for
- Skills & competencies
- staff infrastructure engineerproduction optimizationfull-timesanta clara camaxinsightssoftware engineeringproduction systemsworkflow improvementinfrastructurecross-team leadershipoperational metrics
- Work arrangement
- Weekend coverage required
Benefits & perks
- Health insurance, vision care, dental coverage, 401(k), paid holidays, PTO, and sick leave.
Why this role
Requires strong software engineering and architecture skills, production systems ownership, cross-team leadership, business judgment, and hands-on solution design and implementation.
About the employer
Maxinsights is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Custom Computer Programming Services
- Occupation code
- 15-1252.00
You'll be redirected to the employer's application page.
Listing ID: d44c612e-a360-4597-8e27-432cdfb9c37d