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Python Developer with AWS || W2

Salary undisclosed

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Role: Mid-Level Software Engineer

W2


REMOTE work from home

Candidates must have:
Python for API & Microservices, AWS, Unit testing, DynamoDB (NoSQL), Kinesis, IOT, MQTT protocols, ReactJS Or VUEJS

o 1-2 years of experience in building and maintaining microservice architectures, cloud-based applications, and data-intensive systems.
o Familiarity with unit testing, infrastructure as code, and a strong commitment to hitting the ground running.
o Enthusiasm for taking on full-stack responsibilities, including front-end, back-end, and cloud infrastructure.
The new hires will be integrated into the existing team structure, working as peers with the current team members.
The team is distributed across the United States, with core hours from 9am to 5pm local time.
There is a ramp-up period before taking on-call production support responsibilities, with the duration depending on the level of seniority (60-90 days for more junior candidates).
Technical Points:
The system architecture involves a mix of on-board and cloud-based components:
o On-board systems handle pre-trip inspections and vehicle health monitoring.
o Cloud-based systems are responsible for logistics integration, mission clearance, and remote vehicle control.
The communication between the vehicle and cloud systems is facilitated by IoT technologies, using MQTT protocols.
The cloud-based components leverage AWS managed services, including:
o Kinesis for high-volume data ingestion and processing
o DynamoDB for NoSQL data storage
o Python-based APIs and microservices
The team uses a full-stack approach, with engineers involved in infrastructure, testing, and simulation.
A custom web application is used to visualize real-time data from the autonomous vehicles, utilizing React and Vue.js for the front-end and REST APIs for the back-end.
The team operates in an agile manner, with quarterly planning and two-week sprints.
The work is driven by a commercialization roadmap and operational accelerators, coordinated by a technical product manager.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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