Senior Software Engineer II - Smart Trailer & Connected Equipment

TL;DR

Senior Software Engineer II (Smart Trailer & Connected Equipment): Delivering end-to-end solutions for managing trailers and unpowered equipment, including tracking utilization, monitoring loads and temperature using sensors, and providing asset tracking solutions. Focus on scalable innovation for customers across industries driving the world's physical operations.

Location: Remote - US

Salary: $150,237.50—$252,500 USD

Company

hirify.global is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.

What you will do

• Bring a customer-focused mindset to all development, balancing the need to iterate quickly and deliver customer wins iteratively
• Partner with the Engineering Manager to advocate for long-term technical health of our products alongside the product priorities.
• Act as a force multiplier on the team by leveraging other engineers and personally exemplify how to deliver value at hirify.global
• Mentor other engineers by actively participating in design and implementation conversations across the team
• Champion, role model, and embed hirify.global’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Requirements

• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
• 8+ years of relevant industry experience in software development.
• Strong programming/coding fundamentals with proficiency in at least one of the following: Go, GraphQL, TypeScript, React.
• Excellent communication, collaboration, and problem-solving skills, with a demonstrated ability to manage technical discussions.

Nice to have

• Built and shipped a 0-1 product and understands how to scale for growth and business impact post that phase.
• Experience working with ML engineers and applied scientists to deploy machine learning models to production
• Understanding of how to build for stability and growth while being responsive to customer feedback.
• Prior experience working with geolocation data

Culture & Benefits

• Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more.