Industrial Engineer: Growth-Focused, Safety-First Systems

Adobe; Medford (OR); On-site; USD 81,000 - 116,000; Part time

Job summary

Adobe in Medford, OR seeks an Industrial Engineer to transform vague technology requests into safe, precise systems. The role emphasizes a practical, safety-first approach and a focus on delivering exactly what is asked.

The position offers growth through paid certifications and learning time, with compensation tied to an $81,000–$116,000 base range. Expect collaborations across Django, JavaScript, and Ruby contexts, with emphasis on clean legacy code, scalable performance, and robust internal

Qualifications

• Comfort owning the unglamorous middle of a part-time project.
• Willingness to ask questions before the expensive mistake.
• Strong communication and collaboration, across teams.
• Ability to document while it's fresh, not after it's forgotten.

Responsibilities

• Reach into legacy Django modules and leave them cleaner than you found them.
• Slice the warm-yet-rigorous technology monolith into JavaScript services; Medford, OR can deploy alone.
• Ship Ruby experiments fast, kill the losers, and double down on what sticks.
• Optimize application performance, latency, and resource utilization at scale.
• Investigate, diagnose, and fix bugs reported by users and monitoring tools.
• Chase down the Django integration that silently drops Adobe events at midnight.
• Build internal tooling that improves developer productivity and velocity.

Skills

Questioning mindset

Cross-functional ease

Communication skills

Documentation discipline

Interpersonal skills

Customer focus

Team collaboration

Job description

Adobe in Medford, OR seeks an Industrial Engineer to transform vague technology requests into safe, precise systems. The role emphasizes a practical, safety-first approach and a focus on delivering exactly what is asked.

The position offers growth through paid certifications and learning time, with compensation tied to an $81,000–$116,000 base range. Expect collaborations across Django, JavaScript, and Ruby contexts, with emphasis on clean legacy code, scalable performance, and robust internal