Staff Backend Engineer

Yesterday

Apply Now

Receive Emails with Similar Jobs

Raft

WebsiteLinkedInAll Job Openings

trade finance • trade • finance • logistics • freight forwarding

51 - 200 employees

🤖 Artificial Intelligence

🚗 Transport

🏢 Enterprise

Description

• Location: London or Remote (within 2 hours of GMT) • Raft is an intelligent logistics platform transforming the freight and customs industry through automation and advanced technologies. • As a Staff Backend Engineer at Raft, you’ll be pivotal in shaping the architecture and capabilities of our platform to support mission-critical logistics features. • This is not a traditional engineering role—it's a high-impact opportunity where you’ll design robust cloud infrastructure, develop scalable APIs, and enhance our data pipeline ecosystem. • You will be instrumental in creating highly resilient systems, enabling features such as multi-user access and real-time updates, and setting new standards for data integrity, security, and performance. • In addition to building advanced software, you’ll play a strategic role in driving technical decision-making and mentoring our growing engineering team. • This role is for someone who thrives in a fast-paced, ambitious environment and is ready to make an outsized impact on a product used across the globe.

Requirements

• Brings 7+ years of hands-on experience in backend development with a strong focus on Python, supplemented by experience in other programming languages. • Has deep expertise in designing and maintaining scalable databases (preferably PostgreSQL) and understands the latest trends in database technology. • Is proficient with FastAPI/Starlette and can demonstrate experience in building scalable APIs with Python. • Has a solid track record in multi-cloud environments and understands how to architect and implement software libraries that thrive in distributed, multi-cloud settings. • Can design and implement a sophisticated logging, monitoring, and alerting infrastructure to ensure high availability and quick troubleshooting. • Understands and implements best practices in security and data privacy, with a proven ability to secure complex data flows. • Has extensive experience with containerized tools like Docker, Docker Compose, Kubernetes, Helm, and understands the intricacies of deploying these in production.