Software Development Engineer, DSP Tech

Do you want to be part of the team that transforms how safety decisions are made for Amazon's Delivery Service Partners (DSPs) across 21 countries? Are you passionate about building intelligent, data driven platforms that protect delivery associates every single day?

DSP SafetyTech is a newly formed team serving as the intelligence layer between safety signals and decisions - interpreting what happened, routing it to who can act, and ensuring no safety event goes unresolved. Today, safety data is fragmented across seven systems with no single technical owner, causing attribution errors, reconciliation gaps, and duplicated logic. We're changing that.

We are looking for a Software Development Engineer to help build a governed safety intelligence platform. You will contribute to three critical pillars: Safety Data as a Service (SDaaS), a governed serving layer consolidating telematics, incidents, and contextual enrichment; DSP Facing Mechanisms, a unified configuration layer managing compound signals and business rules across DSP facing surfaces; and Advanced Analytics and Agentic Capabilities, predictive models and AI agents that provide actionable safety insights.

This is a rare opportunity to join a team building a platform from the ground up that will directly impact the safety of delivery associates worldwide.

Key job responsibilities

• Design, develop, test, and deploy software components for a governed data serving platform that consolidates telematics, incident reports, video evidence, and contextual enrichment from multiple upstream systems
• Build and maintain backend services and APIs that support a unified configuration layer where safety business rules are authored, validated, versioned, and distributed
• Develop frontend components for a consolidated safety dashboard, a single view where signals, scorecard outcomes, alerts, event video, and interventions come together
• Implement compound safety signals that combine individual data sources into higher order, actionable safety indicators
• Write clean, maintainable, and well tested code following software engineering best practices
• Participate in code reviews, design discussions, and operational excellence activities
• Collaborate with data engineers and data scientists to integrate data pipelines and model outputs into production services
• Contribute to automated evidence preservation mechanisms to address short video retention windows
• Troubleshoot and resolve production issues, participating in on call rotations to ensure system reliability
• Work with cross functional teams including product managers, stakeholders across investigations, claims, insurance, and accountability to understand requirements and deliver solutions A day in the life You will be part of a team building the safety intelligence backbone for Amazon's DSP ecosystem. Your day may involve writing and reviewing code for backend services, building frontend features for the safety dashboard, discussing design approaches with your team, or debugging a production issue. You will collaborate closely with data engineers and data scientists to bring data driven capabilities to life. You'll participate in sprint planning, stand ups, and retrospectives, contributing ideas to improve both the product and the development process. You will have the opportunity to learn and grow across the full stack, from data pipelines to user facing experiences, while working on a platform that scales across multiple countries. About the team DSP Safety Tech is a newly established team with a clear mission: convert every safety event into a clear, trusted action for every DSP, in every market, every time. Our North Star is ensuring every safety signal reaches the people who can act on it, with the context needed to make timely decisions, so risks are identified earlier, decisions are made consistently, and every Delivery Associate goes home safely. We operate at the intersection of data engineering, applied science, and product development, serving stakeholders from investigators to insurance to DSP owners themselves. We're building from the ground up with a strong vision, executive sponsorship, and the freedom to innovate across the full stack, from governed data pipelines to AI powered agentic experiences.

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

Preferred qualifications

- 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

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