Senior Process Engineer: Build Reliable, Scalable Systems

Egreenservices; Carlsbad (NM); On-site; USD 88,000 - 120,000; Full time

Benefits offered by this job

Paid learning

Health coverage

Mentorship

Flexible Carlsbad, NM setup

Job summary

Mastercard is seeking a senior Process Engineer to turn remote-friendly JavaScript ideas into reliable customer experiences in Carlsbad, NM. With 7+ years in process engineering and fluent Ruby on Rails (with a roadmap to Express.js), you will lead efforts to build scalable, fault-tolerant systems and optimize performance.

Lead the charge on infrastructure-as-code across staging and production, and drive improvements in latency, reliability, and test stability in a dynamic, remote-friendly

Qualifications

• 7+ years in a senior Process Engineer role or equivalent.
• Experience with remote schedules and distributed teams.
• Strong problem-solving and prioritization under pressure.
• Ability to adapt quickly to new environments and locations.
• Fluency in Ruby on Rails with a roadmap to Express.js.

Responsibilities

• Resurrect flaky Jest tests until the Carlsbad, NM suite is trustworthy again
• Hunt down latency spikes nobody at Mastercard can explain
• Configure and manage infrastructure as code across staging and production
• Wire up Coaching feature flags so Mastercard can test on Carlsbad traffic risk-free
• Tune Multitasking queries until the NM database stops timing out under load
• Replace the brittle Emotional Intelligence hack with a Coaching solution that survives Carlsbad scale
• Architect fault-tolerant distributed systems leveraging Multitasking and REST API

Tools

Ruby on Rails

Express.js

JavaScript

Job description

Mastercard is seeking a senior Process Engineer to turn remote-friendly JavaScript ideas into reliable customer experiences in Carlsbad, NM. With 7+ years in process engineering and fluent Ruby on Rails (with a roadmap to Express.js), you will lead efforts to build scalable, fault-tolerant systems and optimize performance.

Lead the charge on infrastructure-as-code across staging and production, and drive improvements in latency, reliability, and test stability in a dynamic, remote-friendly