





Strong employer brand, generalist backend role, and broad skill requirements increase applicant competition.
Backend engineering skills are broadly transferable across industries, so background fit sensitivity is low.
No explicit years listed but multiple mandatory technical skills and cloud/microservices expectations create moderate filtering.
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Design, develop, and test software modules and applications focusing on micro-services architecture and API development.
Support software deployments, automation, integration, and coding using cloud services across AWS, Azure, GCP, and Microsoft 365.
Work with telemetry data and ML/AI algorithms on structured and unstructured data within a team, contributing to code reviews, refactoring, and documentation.
Bachelor's degree in Computer Science, Engineering, or related field.
Moderate experience in software development, including micro-services and RESTful APIs, and working with geo-distributed teams.
Developing expertise in languages such as C/C++, C#, Java, JavaScript, Python, Node.js, and familiarity with SQL and NoSQL databases (Elasticsearch, MongoDB, Cassandra).
Workplace type: On-site.
Familiar with cloud architectures and services, with growing knowledge of container runtimes like Kubernetes and Docker.
Experience following Agile, Lean, and CI/CD practices with software lifecycle tools, capable of supporting automated testing and deployments.
Comfortable applying ML/AI algorithms on large data sets and working in dynamic, multi-stakeholder environments.