DescriptionWe'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 
