Software EngineerSoftware Engineer, Data & Scalability Platform
Cisco (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 1 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Cisco
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Cisco you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, implement, test, and maintain backend services and high-scale data pipelines across distributed data stores and streaming systems.
- Own end-to-end feature development including schema changes, data transformations, query and write performance optimization, and production support.
- Drive system scalability, reliability, performance, and observability improvements through profiling, benchmarking, instrumentation, and troubleshooting.
Minimum Requirements
- Bachelor's degree with 4+ years experience OR Master's degree with 2+ years OR PhD with 0 years experience in software engineering.
- Strong backend engineering experience with production-grade services and distributed systems focusing on scalability, reliability, and performance.
- Hands-on experience with at least one relational or analytical database including schema design and query tuning; and experience with streaming or queueing systems (e.g., Kafka, RabbitMQ).
- Proficiency in Python and at least one other backend language such as Go, Java, or C++; strong fundamentals in system design, data structures, algorithms, concurrency, and modern software engineering practices including CI/CD and automated testing.
Ideal Candidate Profile
- Experienced backend engineer with strong focus on large-scale distributed data systems and streaming pipelines.
- Skilled in performance tuning, troubleshooting production issues, and improving data infrastructure efficiency and observability.
- Comfortable leading features end-to-end including design, implementation, deployment, and production support in a collaborative, iterative environment.