Software Engineer

Posted 2 Days Ago
Dallas, TX, USA
In-Office
Mid level
Artificial Intelligence • Information Technology
Your supply chain AI’s source of truth
The Role
Design, build, and deploy backend applications and microservices in Python to process IoT sensor data. Integrate real-time and batch data flows with cloud platforms, ensure scalability/security/performance, troubleshoot production issues, write tests, contribute to CI/CD, and collaborate with product, hardware, and data teams.
Summary Generated by Built In
Description

Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical

companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo. 

We’re looking for software engineers to join our growing team and help build the next generation of data-driven applications that bring intelligence to individual cases across the supply chain. These applications will unlock insights at the granular level—tracking location, temperature, humidity, product freshness, and more help global enterprises act on them in real time.

This is a hands-on engineering role focused on designing, building, and deploying applications that interface with Wiliot’s IoT cloud, device data, and enterprise systems. You’ll work closely with product managers, hardware teams, and customer-facing leads to deliver high-impact software at scale.

Responsibilities

  • Develop applications and microservices using modern Python.
  • Design APIs and backend services to process and expose ambient IoT sensor data.
  • Collaborate with data engineering and cloud platform teams to integrate real-time and batch data flows.
  • Participate in requirements gathering and product ideation.
  • Ensure scalability, security, and performance of software solutions.
  • Troubleshoot and resolve issues in production environments.
  • Write unit, integration, and E2E tests to maintain code quality.
  • Contribute to CI/CD pipelines and DevOps processes.
  • Document technical decisions and support internal stakeholders.

Requirements

  • 3–6 years of software development experience in backend or full stack roles.
  • Proficiency in Python is a must.
  • Experience working with cloud platforms (AWS, Azure, or GCP).
  • Demonstrated experience with Apache Spark.
  • Familiarity with RESTful APIs, microservices, and event-driven architectures.
  • Solid understanding of relational and/or NoSQL databases (PostgreSQL, MongoDB, DynamoDB, etc.).
  • Comfortable in agile teams and fast-paced development environments.
  • Strong debugging, system design, and problem-solving skills.
  • Based in Dallas/NYC or willing to work hybrid in the Dallas/ NYC office.

Preferred Qualifications

  • Experience with data-heavy applications (IoT, telemetry, sensor networks, or analytics platforms).
  • Exposure to containerization (Docker, Kubernetes).
  • Familiarity with Databricks
  • Familiarity with edge/cloud integrations or device-cloud architectures.
  • Background in logistics, supply chain, cold chain, or RFID systems is a strong bonus.

#LI-Hybrid

Skills Required

  • 3-6 years of software development experience in backend or full stack roles
  • Proficiency in Python
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Demonstrated experience with Apache Spark
  • Familiarity with RESTful APIs, microservices, and event-driven architectures
  • Solid understanding of relational and/or NoSQL databases (PostgreSQL, MongoDB, DynamoDB, etc.)
  • Comfortable in agile teams and fast-paced development environments
  • Strong debugging, system design, and problem-solving skills
  • Based in Dallas or NYC or willing to work hybrid in the Dallas/NYC office
  • Experience with data-heavy applications (IoT, telemetry, sensor networks, analytics platforms)
  • Exposure to containerization (Docker, Kubernetes)
  • Familiarity with Databricks
  • Familiarity with edge/cloud integrations or device-cloud architectures
  • Background in logistics, supply chain, cold chain, or RFID systems
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The Company
260 Employees

What We Do

Wiliot powers your supply chain with continuous, scan-free visibility into item location and condition. The Wiliot Physical AI platform processes signals from battery-free Bluetooth sensors (IoT Pixels) using purpose-built AI and ML models. This enables real-time automated condition monitoring, inventory intelligence, and workflow optimization. Whether you have AI in place or are just starting, Wiliot delivers continuous, AI-ready data that drives ROI today and scales into advanced AI tomorrow. Trusted by leading global retailers and logistics companies, Wiliot’s platform processes billions of sensing events across millions of products every month. It integrates seamlessly into existing enterprise systems, enabling businesses to automate workflows, respond to issues instantly, and reduce waste—ensuring products arrive when and where they should, in perfect condition.

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