





Tier-1 brand, metro location, and mid-level popular backend role increase applicant competition.
Backend, data processing, and cloud skills are transferable, though AIOps/networking preference increases domain specificity.
Explicit 5+ years requirement plus mandatory backend, PySpark, and microservices skills enforce strict filtering.
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Design and develop scalable, high-performance backend services and distributed data processing solutions for AIOps networking workflows.
Collaborate with product managers and domain experts to identify relevant features and deliver optimal AI/ML-enabled automation solutions handling terabytes of data.
Provide technical leadership and contribute to cross-functional projects impacting product time-to-market and innovation.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or related technical field.
5+ years of software engineering experience with strong backend development focus.
Proficient in Python programming and PySpark/Spark for large-scale data processing.
Onsite work requirement at HPE office in India.
Experienced in backend development involving REST APIs, microservices, distributed systems and performance optimization.
Familiarity with cloud platforms (AWS, Azure, GCP), containerization tools (Docker, Kubernetes), and streaming technologies (Kafka, Flink).
Background or interest in AI/ML model deployment, scalable ML platforms, and networking domain experience.