Software Development Engineer, GTTS

Amazon is hiring a Software Development Engineer, GTTS. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include AWS, Spark and Scala.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past two weeks.

AI in this role

Build large-scale transportation network management software utilizing big data, optimization algorithms, and machine learning models.

awssparkscalalambdadynamodb

software-engineeringmachine-learningoptimizationdistributed-systems

Amazon moves millions of packages every day through the world's largest transportation network of planes, trucks, and delivery vehicles. Before any package can be assigned to a route, someone needs to design that network - figure out which lanes exist, how much capacity each node and lane can handle, and what changes are needed as demand shifts. That's what we build.

Global Transportation Tech Services (GTTS) creates software that manages the foundation of Amazon's outbound transportation network. Your work has direct financial impact on network efficiency and directly affects whether customers get their packages on time.

Here's what we actually do: We build the platform that transportation teams use to design and change the network - from evaluating new lanes to putting them live. We calculate how much capacity each node and lane will have, so the network can handle the volume. We identify where capacity will fall short and alert operators before it becomes a problem. We spot packages at risk of missing delivery and give operators tools to protect them. When a hurricane hits Florida or a snowstorm shuts down highways in the Midwest, our systems detect the disruption, protect customers by adjusting delivery promises, and help move volume to keep packages flowing.

The challenges are real: modeling capacity across a massive global network, managing thousands of network changes safely, predicting capacity gaps weeks in advance, detecting and responding to disruptions in real-time, and keeping systems running 24/7.

We regularly build new greenfield products while also modernizing existing systems. You'll have space to explore new technologies and approaches to solve customer problems. We work with AWS services, big data processing (Spark/Scala), optimization algorithms, machine learning models, and GenAI.

Key job responsibilities
- Working independently to own end-to-end delivery (from design through release) of features and medium-sized projects
- Working with AWS technologies such as Lambda, ECS Fargate, API Gateway, RDS, DynamoDB, EMR
- building customer-facing applications and APIs
- Building data pipelines using Spark + Scala that process Tb of data per day
- Working with customers to understand the business context of new features
- Contributing to design reviews and code reviews
- Participating in operational support for our products by joining a regular on-call rotation
- Driving reliability and process improvements
- Mentoring SDE-I engineers and helping them grow technically
- Participating in regular hackathons to bring new ideas to GTTS

About the team
We're a global team with members in Hyderabad and Luxembourg. The team includes software engineers, product managers, technical program managers and applied scientists working on transportation problems.

What to expect:

- You build and operate your software - we handle on-call for what we create
- Work spans multiple technologies: big data processing, backend services, frontend development, and integration with optimization and ML models. You'll also use GenAI to both augment your skills and build agents that automate workflows
- Regular interaction with users of the software
- Team members work across different time zones
- We value different perspectives and encourage open discussion
- Opportunity to work on problems that affect transportation operations globally

Basic qualifications

- Experience (non-internship) in professional software development
- Experience building complex software systems that have been successfully delivered to customers
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience in development in the last 3 years
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in the full secure software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in managing and troublshooting network, or experience troubleshooting and debugging technical systems and experience that includes strong analytical skills, attention to detail, and effective communication abilities

Preferred qualifications

- Master's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience with AWS technologies
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Software Development Engineer, GTTS at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer, GTTS is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in LU, Luxembourg.
The job was posted on October 19, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringMachine learningOptimizationDistributed SystemsAWSSparkScalaLambda

Also common in software engineer jobs at this level

Python Kubernetes TypeScript React Docker JavaScript

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where optimization was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

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List these exact terms on your resume: Software Engineering, Machine learning, Optimization, Distributed Systems, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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