Software Engineer - Data & Scalability Platform

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Mentorship","Root-cause analysis","Debugging","Capacity planning","Performance engineering"]

Own the data plane end to end for scalable, tenant-isolated AI resilience. You’ll design and evolve relational and analytical data stores, build streaming/queueing backbone, and scale compute and pipelines that move and transform data. Drive end-to-end performance, capacity modeling, cost efficiency, and observability instrumentation. Develop and maintain production services and internal tooling in Python and/or Go, and lead troubleshooting, load testing, and mentoring through design and code reviews.

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FursaFursa
Cisco
Cisco
2 days ago

Software Engineer - Data & Scalability Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Own the data plane end to end for scalable, tenant-isolated AI resilience. You’ll design and evolve relational and analytical data stores, build streaming/queueing backbone, and scale compute and pipelines that move and transform data. Drive end-to-end performance, capacity modeling, cost efficiency, and observability instrumentation. Develop and maintain production services and internal tooling in Python and/or Go, and lead troubleshooting, load testing, and mentoring through design and code reviews.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own and evolve the platform’s data stores (relational, analytical/columnar, object storage, caching), including schema design, migration safety, and retention.
  • •Design and operate the streaming and queueing backbone from ingest to queryable data, including delivery semantics and reliability considerations.
  • •Build and scale compute and pipelines that move and transform data, including stream processors, writers, schedulers, and distributed worker fleets.
  • •Own end-to-end data performance (query/write latency, indexing and sharding strategy, hot-path optimization) and drive capacity modeling with quotas, rate limiting, and multi-tenant isolation.
  • •Develop and maintain production services and internal tooling in Python and/or Go, and handle complex production debugging across data stores, queues, and services while contributing to monitoring/on-call support.

Key Requirements

  • •Bachelor’s degree with 7+ years of related experience, or a Master’s degree with 4+ years, or a PhD with 1+ year in Computer Science/Software Engineering or a related field.
  • •Strong backend experience building and operating highly scalable, reliable, production-grade data-intensive services and platforms.
  • •Proven experience designing and solving challenges in distributed systems for scalability, availability, performance, reliability, and fault tolerance.
  • •Hands-on experience operating and tuning an OLTP database (e.g., PostgreSQL, MySQL) and an analytical/columnar or time-series store (e.g., ClickHouse, Druid, BigQuery, Snowflake), including schema design, indexing, query tuning, and migration safety.
  • •Production experience with streaming/queueing systems (e.g., Kafka, RabbitMQ, Pulsar, Kinesis) and scaling data-processing compute with concurrency, batching, backpressure, and throughput tuning.
Experience:7+ yearsDistributed systemsData platformsStreamingCloud-native
Education:Bachelor's
Skills:MentorshipRoot-cause analysisDebuggingCapacity planningPerformance engineering
Tech Stack:PythonGoPostgreSQLMySQLClickHouseDruidBigQuerySnowflakeKafkaRabbitMQPulsarKinesisKubernetesAWSGCPOpenTelemetryPyroscopePy-spyCeleryTemporal

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
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