Senior Backend Engineer
4 weeks ago
Experience:
2+ years (ideal 3-4 years).
Key Skills (Top 3):Python, Django, PostgreSQL
Full Time:- Remote role
Cultural Fit:
Curious, independent contributor mindset.
Interview Process:
Panel 1: 15-minute fitment round.
Panel 2: Take-home assignment.
Panel 3: Live coding challenge with access to the code base.
About the Company:
our mission is to simplify the complexity of Logistics by applying the latest advances in AI and machine learning. We are committed to solving critical challenges in this traditionally slow moving sector; focusing on efficiency, cost savings, and exceptional customer satisfaction.
Product/Service Overview:
Currently, we offer a SaaS product designed to empower companies in efficiently managing last-mile delivery. From route planning to real-time order tracking, our solution optimizes the entire delivery process. Building on our success, we are now developing a second product tailored for long-distance road transportation. This product aims to help our customers identify opportunities to reduce costs by minimizing empty miles and uncover additional revenue streams.
About the role:
As a Senior Software Engineer at Enroute, you will play a pivotal role in shaping the future of our cutting-edge SaaS products, focusing on last-mile delivery and long-distance road transportation optimization. Your primary responsibilities will revolve around implementing customer-centric features, translating identified needs into functional API endpoints using Python/Django.
Primary Responsibilities:
● We believe in fostering an environment where our Senior Software Engineer has the autonomy to take ownership of projects. You will be encouraged to exhibit independence while implementing customer-centric features and have the freedom to make decisions that drive project success.
● Implement new features based on customer feedback, ensuring code readability and maintainability.
● Monitor backend performance, addressing issues promptly to maintain a smooth operation without server errors.
● Occasionally handle data-related tasks, including SQL queries, database backup, and restoration.
Culture:
● Work closely with our CTO, contributing to the decision-making process for code architecture and best practices.
● Collaborate with a specialist in algorithms who oversees machine learning components.
Technology Stack and Tools:
● Work with a tech stack that includes Python, Django, PostgreSQL (database), AWS (for deployment), and Kubernetes (container orchestration).
Growth Opportunities:
● Join a rapidly growing team with opportunities for career advancement based on merit and performance.
● Take advantage of the chance to lead projects, mentor junior team members, and contribute to the overall success of the company
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