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Tier-1 brand, mid-level backend role in Bangalore with generalist backend and ML infra skills increases competition.
Requires backend and data/ML infra expertise; transferable across industries but favors ML/platform backgrounds.
Explicit 5+ years plus mandatory backend, Python, PySpark, cloud, and distributed systems skills increases shortlisting strictness.
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Design, develop, and deliver scalable, high-performance backend services and distributed data processing solutions for AIOps.
Collaborate with product managers and domain experts to engineer relevant ML features and implement AI/ML-based automation workflows.
Provide technical leadership and contribute to cross-functional initiatives, improving product time-to-market and solving complex distributed system challenges.
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 and experience with PySpark/Spark, REST APIs, microservices, and distributed systems.
Onsite work requirement at HPE office in India explicitly mentioned.
Experienced in developing performant AI/ML inferencing implementations and ML model hygiene in production-scale environments.
Demonstrates strong knowledge of multithreading, concurrency, asynchronous programming, and performance optimization at scale.
Exposure to cloud platforms (AWS, Azure, or GCP) with familiarity in Kafka, Flink, Elasticsearch, Kubeflow, Docker, and Kubernetes preferred.