Data Lifecycle Backend Engineer
Job Purpose and Impact
The Data Lifecycle Backend Engineer plays a key role in designing, implementing, managing, and maintaining cloud-based systems and infrastructures. In this role, you will help leverage cloud services for scalability, efficiency, and cost-effectiveness to develop solutions that meet business needs while ensuring high availability, security, and performance of cloud applications.
Key Accountabilities
Architect, deploy, and manage a scalable cloud infrastructure using platforms such as AWS, Microsoft Azure, or other cloud providers.
Set up monitoring and alerting solutions to track cloud infrastructure performance, availably, and security using tools such as Datadog.
Work closely with Product Owner to translate functional into technical, while ensuring the final product matches set criteria.
Creating multiple integrations with complex API design to support various upstream and downstream systems.
Qualifications
MINIMUM QUALIFICATIONS
Bachelor’s degree in CS, IT, or related field or equivalent exp.
Minimum of 3-5 years of hands-on experience managing cloud environments or related work exp.
PREFERRED QUALIFICATIONS
Solid understanding of at least one backend programming language (e.g., Node.js, Python, Go) with the ability to implement and troubleshoot server-side logic in cloud environments.
Hands-on exp in developing, testing, and securing RESTful APIs endpoints that integrate with various cloud services and external applications.
Familiarity with cloud-native concepts, including microservices architecture, serverless computing, and containers (e.g., Docker, Kubernetes).
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