Software Engineer - Data & Scalability Platform
Cisco (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 20–38 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data plane infrastructure including relational, analytical/columnar, object storage, caching stores, streaming, compute pipelines, and performance tooling at production scale.
- Drive platform performance aspects such as query/write latency, indexing/sharding, capacity planning, cost-efficiency, multi-tenant isolation, and data operations including backup, restore, and migrations.
- Collaborate with product engineering teams to evolve platform architecture, ensure data correctness, reliability, and scalability via design reviews, code reviews, and mentorship.
Minimum Requirements
- Bachelor's with 7+ years or Master's with 4+ years or PhD with 1+ year in Computer Science, Software Engineering, or related.
- Strong backend engineering experience building and operating scalable, reliable production-grade data-intensive services.
- Proven experience with large-scale distributed systems and operating/tuning OLTP (e.g., PostgreSQL) and analytical databases (e.g., ClickHouse).
- Experience with streaming/queueing systems (e.g., Kafka), proficiency in Python plus at least one other backend language (Go, Java, C++), and performance engineering including profiling and benchmarking.
Ideal Candidate Profile
- Technical leader experienced in cloud-native and containerized environments (Kubernetes, AWS/GCP) with strong distributed systems design skills.
- Practitioner with in-depth knowledge of data platform capacity modeling, multi-tenant isolation, cost control, and observability instrumentation development.
- Experienced in end-to-end ownership of scalable data pipelines, performance tooling, data reliability operations, and mentoring/technical leadership within cross-team environments.