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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - **Company:** Cisco Systems, Inc. - **Location:** Durham, NC, United States - **Experience:** Experienced - **Salary:** $151,600.0 - $222,400.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Code Review, Databases, Concurrency Controls, Software Debugging, Distributed File Systems, Distributed Systems, Python (Programming Language), Software Deployment, Software Engineering, Diagnostic Tools, Google Cloud, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Containerization, Kubernetes, Information Technology, Splunk, Programming Languages, Microservices - **Published:** September 27, 2026 - **Apply:** https://www.juju.com/job/21_01a05a98-2551-7821-a770-54288d86ec95 ## About the Role * Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience. * 8+ years of professional experience in software engineeringandproficiencyin at least one programming language, such as Go, Python, or Java. * 5+ years of experience in the design and implementation of distributed systems, including databases, distributed file systems, concurrency control, consistency modelswith API communication paradigms, including REST. PreferredQualifications * 2+ years of experience withCI/CD pipelines,Kubernetes, container ecosystems, and microservices-based architectures. * 3+ years of experience working with public cloud providers, such as AWS, GCP, or Azure. * 5+ years of experience with debugging, troubleshooting, and the use of observability and diagnostic tools. * Experience developing or deploying applications using LLMs, RAG pipelines, MCP, and multi-agent frameworks. ## Description At Splunk,we'redriven by a bold vision: to make machine data accessible, usable, and valuable to everyone.We'rea team of passionate builders who care deeply about our customers, ourtechnology, and each other's success. We work hard, move fast, and believe that great outcomes come from collaboration, trust, and curiosity. If you're excited by the idea of working on mission-critical systems that deliver real customer im- pact - and want to be part of a growing company redefining how organizations use data to make decisions - we'd love to talk with you about the team. Our team builds andoperateslarge-scale services that orchestrate updates and changes across customer environments in Splunk Cloud. We workata significantscale across AWS, GCP, and Kubernetes, supporting both traditional and containerized workloads. This is an opportunity to apply deep cloud and distributed systemsexpertisewhile driving the next generation of automation that powers Splunk Cloud. Our work directly influences reliability, scalability, and customer trust, and we are continuously evolving how we build, deploy, andoperatesystemsat scale. Your Impact * Own features end-to-end across the complete software development lifecycle including AI, spanning requirements gathering, technical design, implementation, testing, automation, deployment, and ongoing operational ownership in production. * Translate customer and business needs into clear technical solutions, making thoughtful trade-offs that balance speed, quality, and reliability. * Design, build, andmaintainhighly scalable, distributed systems that handle large volumes of data. * Identifyand resolve pre-production bottlenecks and production issues, improving system resilience and performance. Participate in design and code reviews, contributing to shared engineering standards and long-term system health. * Partner closely with product managers, SREs, and cross-functional teams to deliver meaningful customer outcomes. * Participate in a rotating on-call schedule, diagnosing and resolving production issues to ensure reliability and customer trust. * Mentor junior engineers and contribute to a culture of learning, ownership, and continuous improvement. ## Related Videos - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [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) - [What is Software Engineering?](https://www.wearedevelopers.com/magazine/289-what-is-software-engineering) - [7 Important Tips That Every Software Developer Should Know](https://www.wearedevelopers.com/magazine/101-7-important-tips-that-every-software-developer-should-know) - [Is Software Engineering Hard?](https://www.wearedevelopers.com/magazine/448-is-software-engineering-hard) - [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)