Software Dev Engineer II , Global Transportation Tech Services (GTTS)
Amazon - Hyderabad, Telangana, IND
Posted May 4, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Dev Engineer II , Global Transportation Tech Services (GTTS) Hyderabad, Telangana, IND 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
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