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Tier-1 brand, popular backend title, mid-level experience and Bangalore location increase competition.
Skills transfer across industries, but ML/data-platform and networking knowledge increase domain specificity.
Explicit 5+ years plus mandatory backend, data, cloud and tooling skills make shortlisting strict.
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Design, develop, and deliver scalable, high-performance backend services and distributed data processing solutions for AIOps workflows.
Collaborate with product management and domain experts to develop optimal, performant AI/ML solutions handling terabytes of data.
Lead technical efforts to build backend systems using REST APIs, microservices, multithreading, and distributed computing architectures.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or related technical field.
Minimum 5 years of software engineering experience with strong backend development focus.
Proficiency in Python programming and experience with PySpark/Spark for large-scale data processing.
Onsite work expected at an HPE office location.
Experienced in backend software engineering with hands-on experience in REST APIs, microservices, and distributed system design under high-volume workloads.
Comfortable working with AI/ML technologies and scalable ML infrastructure as part of data science or AIOps teams.
Familiar with cloud platforms (AWS, Azure, or GCP) and modern data streaming and orchestration tools (Kafka, Flink, Kubernetes, Docker).