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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Cisco Systems, Inc. - **Location:** Glendale, CA, United States - **Experience:** Experienced - **Salary:** $138,100.0 - $198,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Apache HTTP Server, Automation of Tests, Big Data, Cloud Database, Software Quality, Code Review, Data Discovery, Data Infrastructure, Distributed Data Store, Distributed Systems, Data Intelligence, Python (Programming Language), Meta-Data Management, Performance Tuning, Cloud Services, Software Deployment, Software Engineering, System Testing, Enterprise Data Management, Cloud Platform System, Apache Spark, Multi-Cloud, Build Management, Data Lakes, Kubernetes, Information Technology, Apache Kafka, Data Management, Virtual Agents, Terraform, Serverless Computing, Cisco, Golang - **Published:** August 29, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3369523123&tx=KL8787FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelors or Masters in computer science + 3 years of related experience * 3+ years experience with either GoLang, Java or Python * 3+yrs experience developing Distributed Systems Cloud Native Services, * Experience building or operating large-scale data platforms, metadata services, data lakes, storage systems, or analytics infrastructure using technologies such as Apache Iceberg, Apache Spark, Kafka, or similar distributed data technologies. * Experience with software quality and operational excellence, including automated testing, observability, monitoring, performance tuning, and production troubleshooting. * Experience driving technical solutions across cross-functional teams, collaborating effectively with software engineers, architects, and product managers to deliver complex initiatives. * Experience with Apache Spark and Iceberg * Experience with infrastructure-as-code and cloud automation tools such as Terraform, Helm, or Kubernetes Operators. ## Description The Search Acceleration team builds the foundational data platform services that enable Cisco to manage, discover, and analyze data at enterprise scale. Our mission is to create highly scalable, cloud-native infrastructure that powers metadata management, data discovery, and intelligent data optimization across a rapidly growing ecosystem of data sources. Our engineers tackle complex distributed systems challenges, including large-scale metadata processing, cloud-native service architecture, asynchronous workflows, and multi-cloud data management. We build resilient platform services that prioritize scalability, reliability, performance, and operational excellence while supporting petabyte-scale data environments. As a member of our team, you'll own high-impact initiatives from architecture and design through implementation and production. You'll collaborate with engineers, architects, and product teams across Cisco to solve challenging technical problems and influence the evolution of our enterprise data platform. If you're passionate about building distributed systems, solving hard engineering problems, and delivering platform capabilities that other engineering teams depend on, you'll thrive here. Your Impact : As a Software Engineer on the Search Acceleration team, you will design and build foundational platform services that enable Cisco's enterprise data platform to scale across petabytes of data and millions of metadata objects. Your work will directly influence how data is discovered, managed, and optimized across cloud environments, providing the foundation for analytics, governance, and AI-driven applications. * Build highly scalable distributed systems. Design and develop cloud-native services that solve challenging problems in metadata management, asynchronous processing, distributed coordination, and large-scale data optimization while meeting demanding reliability and performance requirements. * Own strategic platform capabilities end-to-end. Take technical ownership of critical features from architecture and design through implementation, testing, production deployment, and operational support. You'll have the opportunity to influence technical direction while delivering capabilities that other engineering teams depend on. * Drive engineering excellence. Build software with a strong focus on quality, observability, automation, and operational resilience. You'll help establish engineering best practices through thoughtful design, comprehensive testing, code reviews, and continuous improvement. * Collaborate across engineering organizations. Partner closely with software engineers, architects, and product managers across Cisco to define technical solutions, drive architectural alignment, and deliver integrated platform capabilities. * Shape the future of our data platform. Evaluate emerging technologies, contribute to architectural decisions, and leverage AI-assisted engineering practices to accelerate development while maintaining a high standard of technical quality. ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Retooling and refactoring - an investment in people.](https://www.wearedevelopers.com/videos/371-retooling-and-refactoring-an-investment-in-people) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)