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Tier-1 brand, mid-level backend role with common skills and metro location increases competition.
Core backend and data engineering skills transfer across industries but AIOps/networking adds moderate domain specificity.
Explicit 5+ years plus many mandatory backend, data, and cloud technologies create strict screening filters.
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Own design, development, and delivery of scalable, high-performance backend services and distributed data processing pipelines.
Collaborate with product managers and domain experts to identify relevant data signals and develop AI/ML-driven AIOps solutions that scale with terabytes of data.
Provide technical leadership on significant projects, influencing product features related to backend engineering and big data infrastructure.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or related field.
Minimum 5 years of software engineering experience focused on backend development.
Proficiency in Python and experience with PySpark/Spark for large-scale data processing.
Mandatory onsite work from HPE office as per role design.
Experienced in developing backend microservices, REST APIs, and distributed systems with strong concurrency and performance optimization skills.
Skilled in cloud platforms (AWS, Azure, GCP) and familiar with big data and streaming technologies like Kafka, Flink, Elasticsearch, and Kubeflow.
Comfortable working in cross-functional teams to deliver AI/ML-powered backend data and infrastructure solutions at scale in networking domain contexts.