Remote Industrial Engineer — Systems, Data & Growth

Community Excellence Foundation; San Francisco (CA); Remote; USD 120,000 - 188,000; Full time

Benefits offered by this job

Growth ladder

Mentorship investment

Remote-friendly schedule

Job summary

Community Excellence Foundation is seeking a mid-level Industrial Engineer to translate builder-led requirements into dependable systems. The role offers a salary range of $120,000–$188,000 per year, with a remote schedule and a growth ladder that rewards performance and learning in San Francisco, CA.

You will own data integrity across Elasticsearch stores, set coding standards in Go, and drive lifecycle management from prototype to production while collaborating with cross-functional teams in a

Qualifications

• 5+ years of Webpack experience and broad frontend/backend integration awareness.
• Ability to coordinate across Customer Service engineers, Redis, and marketing teams.
• Comfort with remote arrangements and a fast-to-ship work rhythm.
• Customer-centric attention to detail driving reliable systems.

Responsibilities

• Drive postmortems to prevent outages from recurring.
• Ensure data integrity across Elasticsearch stores for SF metrics.
• Ship Redis experiments quickly and focus on successful outcomes.
• Bridge Webpack and Linux for seamless platform integration.
• Identify MongoDB anti-patterns during code reviews before widespread use.
• Promote engineering excellence and ongoing learning.
• Own full lifecycle of tech systems from prototype to production.
• Help establish Go coding standards for the team.

Skills

Cross-functional collaboration

Customer-centric mindset

Remote/work-from-home adaptability

Industrial engineering fundamentals

Tools

Webpack

Elasticsearch

Redis

Linux

MongoDB

Job description

Community Excellence Foundation is seeking a mid-level Industrial Engineer to translate builder-led requirements into dependable systems. The role offers a salary range of $120,000–$188,000 per year, with a remote schedule and a growth ladder that rewards performance and learning in San Francisco, CA.

You will own data integrity across Elasticsearch stores, set coding standards in Go, and drive lifecycle management from prototype to production while collaborating with cross-functional teams in a