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Tier-1 brand, popular backend title, mid-level experience band, and Bangalore location increase competition.
Core backend, distributed data, and cloud skills are transferable across industries despite AIOps domain preference.
Explicit 5+ years requirement and mandatory backend, PySpark, cloud, and systems skills enforce strict filters.
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Own end-to-end design, development, and delivery of scalable, high-performance backend services and distributed data processing solutions for AIOps.
Collaborate with product management and domain experts to identify relevant features and signals for AI/ML-driven automation of networking workflows.
Provide technical leadership in building solutions that handle terabytes of data and optimize performance using appropriate backend and database technologies.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or related technical field.
5+ years of software engineering experience with a strong focus on backend development.
Proficiency in Python and experience with PySpark/Spark for large-scale data processing.
Onsite work requirement at HPE office (location: Not explicitly mentioned in the JD).
Experienced in building scalable backend architectures involving REST APIs, microservices, distributed systems, and performance optimization techniques like multithreading and asynchronous programming.
Familiar with cloud environments (AWS, Azure, or GCP) and technologies such as Kafka, Flink, Elasticsearch, Kubeflow, Docker, and Kubernetes.
Has prior exposure to AI/ML pipeline development, ML model production deployment, and preferably networking domain knowledge or understanding of distributed network architectures.