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This listing doesn't post a salary. Most similar roles pay
$124,850–$184,900.
Based on 240 similar postings.
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About Cisco
Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity
Cisco currently has
307 open roles
on FindRole.
Listed pay typically runs
$167,700–$245,000
across 224 roles with salary data.
The Software Engineer joins the Search Acceleration team to build foundational data platform services for managing, discovering, and analyzing data at enterprise scale. You will design and develop cloud-native distributed systems to handle large-scale metadata processing, asynchronous workflows, and multi-cloud data management across petabyte-scale environments. Responsibilities include owning strategic platform capabilities from architecture through production deployment, ensuring high reliability, performance, and observability. You will collaborate with architects and product managers to solve complex technical problems in data optimization and governance. Required skills include experience with GoLang, Java, or Python, along with developing distributed systems. Preferred qualifications include working with Apache Iceberg, Apache Spark, Kafka, and infrastructure-as-code tools like Terraform, Helm, or Kubernetes Operators to support analytics and AI-driven applications within a complex data ecosystem.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Design and develop cloud-native distributed systems for metadata management and large-scale data optimization.
Own strategic platform capabilities from initial architecture and design through production deployment and operational support.
Build scalable services to handle petabyte-scale data and millions of metadata objects across cloud environments.
Implement software with a focus on observability, automated testing, and operational resilience.
Establish engineering best practices through thoughtful design, code reviews, and continuous improvement.
Evaluate emerging technologies and contribute to architectural decisions for the enterprise data platform.
Partner with cross-functional teams to define technical solutions and drive architectural alignment.
What we're looking for
Bachelor's or Master's degree in computer science.
At least 3 years of related experience.
At least 3 years of experience with either GoLang, Java, or Python.
At least 3 years of experience developing Distributed Systems Cloud Native Services.
Experience building or operating large-scale data platforms, metadata services, data lakes, storage systems, or analytics infrastructure (preferred).
Experience with software quality and operational excellence, including automated testing, observability, monitoring, performance tuning, and production troubleshooting (preferred).
Experience driving technical solutions across cross-functional teams (preferred).
Experience with Apache Spark and Iceberg (preferred).
Experience with infrastructure-as-code and cloud automation tools such as Terraform, Helm, or Kubernetes Operators (preferred).
Modern C++
Python
C#
Java
Rust
Machine Learning
PyTorch
GPU Programming
Signal Processing
Computer Vision
Robotics
Web Service Architecture
FPGA
Numerical Methods
Mathematical Modelling
C++
Python
LabVIEW
National Instruments
cDAQ
cRIO
PXI
Data Acquisition
Distributed Systems
Network Communication
Unit Testing
Performance Optimization
Debugging
Data Storage