Software Engineer

Cisco
2 Locations$137k – $201kPosted 4 April 2026

Job Description

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . 2010270 – Software Engineer (Hybrid) The application window is expected to close on: April 23, 2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This role is listed as hybrid – team members will be expected to report to their respective office on a regular basis. Meet the Team The Infrastructure and Cloud Services team is changing the way we run Cisco’s operations by maximizing the power of technology, the best of business processes, and superior data insights. Together, we will Reimagine the Cisco experience, show the world how to reinvent applications, and leverage the future of the Internet to showcase the power of Cisco: our people, products, processes, systems, and data. Cisco is transforming its platforms to run the next generation of cloud-native and multi-cloud services. This role offers a superb opportunity to work with a small team to transform how infrastructure platforms are developed and managed with full software automation. This team is responsible for developing tools and platforms for users to procure and manage cloud infrastructure. While we work closely with infrastructure, solving problems through software development is at our core. Your Impact As a software engineer on our Cloud Infrastructure and Platform team, you will help build and improve tools and integrations that support Cisco’s cloud services. You will work with a skilled, agile team to automate and enhance our cloud platforms and lead the development of middleware and integration solutions. Using AI and machine learning, you will make our systems more reliable, scalable, and efficient, especially for platform orchestration. You are a skilled Software Engineer with experience building and supporting quality tools and apps; you understand software systems well, have strong programming skills, work well with your team, and value automation. You are adaptable, eager to learn, and enjoy working in a fast-paced environment. Cloud-Native Development:  Design and develop scalable, microservices-based applications using Java, Python, Go, and JavaScript, ensuring high-quality code through rigorous TDD practices and modern software design patterns. AI-Driven Infrastructure (AIOps): Integrate and maintain AI/ML models to perform predictive analytics on infrastructure health, automate anomaly detection, and optimize resource allocation across cloud platforms. Automation and CI/CD:  Architect and implement robust CI/CD pipelines and infrastructure-as-code (IaC) solutions using Terraform, Ansible, and GitOps to streamline continuous delivery and deployment. Multi-Cloud Management:  Deploy, manage, and optimize enterprise applications across multi-cloud and hybrid environments, including AWS, GCP, VMWare, and OpenShift, to ensure high availability and performance. Production Monitoring and Reliability:  Monitor production environments using tools like Prometheus, Grafana, and the ELK stack, serving as an escalation point for on-call issues and driving proactive incident resolution. Root Cause Analysis:  Lead postmortem reviews and conduct comprehensive root cause analysis (RCA) to identify system bottlenecks, improve reliability, and prevent future production incidents. API Development and Security:  Develop and maintain secure, high-performance RESTful and GraphQL APIs, incorporating OAuth 2.0 and OpenAPI 3.0 standards to ensure robust integration across systems. Technical Leadership and Mentorship:  Mentor junior engineers, conduct thorough code reviews, and provide technical guidance to foster a culture of engineering excellence and continuous learning within the team. Cross-Functional Project Coordination:  Collaborate with cross-functional partners to estimate project timelines, track milestones, and prov ... (truncated, view full listing at source)
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