Senior Software Engineer

EquipmentShare is a people-first construction technology company transforming the industry through innovative technology, real-time support, and its proprietary T3 platform. The Senior Software Engineer will design, build, and maintain a scalable data and AI platform, collaborate across product and engineering teams to deliver solutions, shape technical direction, and mentor other engineers.

Responsibilities:

• Design, build and maintain our data and AI platform to enable automation and self-service for data scientists, analytics engineers and analysts
• Collaborate with Product Managers, Designers, Engineers, Data Scientists and Data Analysts to take ideas from concept to production at scale
• Exert your passion and use deep and wide thinking to shape the technical direction of the platform
• Collaborate with Analysts, Data Scientists, Product Managers, Designers and Engineers to take ideas from concept to delivery. Balancing the desire to ship code with the responsibility to get it right
• Contribute to our culture improving how we deliver as a team. Helping us to leave things better than we find them and making it easier for us to get stuff done
• Support, coach and mentor Engineers within our team by sharing your insight, knowledge and experience as we learn and grow together

Requirements:

• 7+ years of relevant development experience building production grade solutions
• 5+ years leading design of reliable and scalable services and APIs
• Practical production knowledge of SaaS products
• Proficient with a high order object oriented language. (especially Python - open to Go, Java, Scala, C# etc.)
• Exposure to event driven architectures and high volume data processing
• Practical experience with events stream processing, transformation and enrichment using technologies such as Flink and Kafka
• Practical exposure of CI/CD pipelines for your production services
• Familiarity with public cloud service platforms
• Experience partnering and collaborating with remote teams (across different time zones)
• Proven track record in learning new technologies and applying that learning quickly
• Experience building observability and monitoring into applications
• Familiar with change data capture (CDC)
• Experience with ML or AI platforms such as Metaflow
• Familiar with containerization and Kubernetes
• Familiar with (IaC) such as Terraform