Software Development Engineer, Last Mile Planning
Amazon · Bengaluru · onsite · Posted 71d ago
Not disclosed3–5 yrsfulltimeSourced from
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About this role
Description
The Routing and Planning (RaP) organization, within the Last Mile Technology (LMT) organization, plays a pivotal role in Amazon's mission to deliver packages to billions of customers worldwide. Our goal is to create the most efficient, reliable, and high-quality route plans for our drivers while ensuring safe, low-touch, and high-throughput solutions for operations. We're challenged to constantly improve and innovate on our routing and planning software to support Amazon's promise of fast and reliable deliveries. The technology that are developed by our teams include a wide breadth of solutions from Machine Learning (ML) and Operations Research-based routing and planning algorithms, in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer grade native mobile apps that brings all these experiences together.
Key job responsibilities
As an SDE-2, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components. We are looking for someone who loves solving hard problems in a collaborative environment, has high standards for quality and maintainability, and is looking to grow into a space where they can have high impact on customers. You will work with other engineers on our team and in adjacent teams, as well as with research scientists, senior engineers, and product managers, to develop software to automatically create the best package plans, which are used all over the globe, multiple times, every day.
Basic Qualifications
Company - ADCI - Karnataka
Job ID: A3114883
The Routing and Planning (RaP) organization, within the Last Mile Technology (LMT) organization, plays a pivotal role in Amazon's mission to deliver packages to billions of customers worldwide. Our goal is to create the most efficient, reliable, and high-quality route plans for our drivers while ensuring safe, low-touch, and high-throughput solutions for operations. We're challenged to constantly improve and innovate on our routing and planning software to support Amazon's promise of fast and reliable deliveries. The technology that are developed by our teams include a wide breadth of solutions from Machine Learning (ML) and Operations Research-based routing and planning algorithms, in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer grade native mobile apps that brings all these experiences together.
Key job responsibilities
As an SDE-2, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components. We are looking for someone who loves solving hard problems in a collaborative environment, has high standards for quality and maintainability, and is looking to grow into a space where they can have high impact on customers. You will work with other engineers on our team and in adjacent teams, as well as with research scientists, senior engineers, and product managers, to develop software to automatically create the best package plans, which are used all over the globe, multiple times, every day.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Company - ADCI - Karnataka
Job ID: A3114883
Sourced from foundit
Skills
TestingDesign Patternscoding standardsOperations researchsource control managementbuild processescode reviewsfull software development life cycleoperationsMachine Learning
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