Senior Backend Engineer (Python)

Posted about 1 month agoViewed
160000 - 240000 USD per year
United StatesFull-TimeSports Entertainment
Company:Underdog Sports
Location:United States
Languages:English
Seniority level:Senior, 5+ years
Experience:5+ years
Skills:
AWSBackend DevelopmentDockerPythonSQLGCPKafkaKubernetesAzureREST APIMicroservices
Requirements:
At least 5 years of experience building microservices heavy backend systems in a cloud environment (e.g. AWS, GCP, Azure) Advanced proficiency with Python and SQL Prior experience building recommendation systems and APIs for surfacing model outputs Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS Experience with real time data processing frameworks such as Kafka, Flink, or Kinesis Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment Excellent leadership and communication skills with ability to influence and collaborate with stakeholders
Responsibilities:
Design the future of sports entertainment. Shape the development of a cutting-edge data platform solutions that provides seamless, engaging, and scalable experiences for millions of sports fans globally. Deliver best in class features and performance. Prioritize, execute, and oversee core initiatives that drive innovation and ensure data platform reliability at scale. Build a winning engineering culture. Cultivate a collaborative, innovative environment that thrives on technical excellence, creativity, and shared passion for delivering impactful products. Champion development best practices. Advocate for and implement engineering best practices, ensuring the team aligns with industry standards and maintains a high-quality codebase. Collaborate to shape the product vision. Partner closely with data scientists and engineering leads to define features, plan delivery, and drive the development process from ideation to launch. Research new technologies. Research and keep up to date on emerging technologies and trends and focus on iteratively implementing them into Underdog’s data platform systems.
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