Meet the Team
This Cisco team drives all Lifecycle processes and systems anchored on delivering the best customer and partner experience. Our scope includes Market-to-Lead, Lead-to-Opportunity, Opportunity-to-Booking, Order-to-Cash, Onboard-to-Optimize, Escalate-to-Resolve, Renew-to-Booking, and Support-to-Advocacy. We offer a unique opportunity for dedicated, passionate, and highly creative engineers to have a wide-ranging impact on our development activities.
Your Impact
As a Software Engineer, you will serve as the critical architect bridging the gap between advanced AI/ML development and mission-critical IT Operations. You will be responsible for engineering and optimizing intelligent solutions that automate complex IT workflows, mitigate operational risk, and enable precise, automated root cause analysis. By operationalizing machine learning at scale, you will transform IT environments—reducing manual overhead, sharpening diagnostic accuracy, and accelerating operational velocity to ensure the uncompromising reliability and scalability of our global applications.
What You’ll Do
· Architect & Innovate: Design, deploy, and maintain high-performance machine learning pipelines tailored to support mission-critical AI Technologies initiatives.
· Automate & Optimize: Drive operational efficiency by automating routine tasks and building robust CI/CD pipelines to streamline deployment workflows.
· Collaborate Cross-Functionally: Partner closely with Data Scientists, Software Engineers, and Infrastructure/Operations teams to integrate AI-driven intelligence into existing IT ecosystems seamlessly.
· Analyze & Interpret: Evaluate complex network performance data to uncover actionable trends, detect anomalies, and identify strategic opportunities for system optimization.
· Ensure System Reliability: Develop and manage proactive monitoring and alerting frameworks to maintain peak system health.
· Resolve & Refine: Troubleshoot and remediate complex issues within AI Technologies environments, ranging from configuration challenges to systemic service disruptions.
· Measure Success: Track and report on key performance indicators (KPIs) to quantify the business impact and efficacy of AI Technologies implementations.
· Stay Ahead of the Curve: Continuously explore emerging advancements in AI and machine learning, applying cutting-edge technologies to drive perpetual improvement.
Minimum Qualifications
· Bachelor’s degree in Computer Science, Engineering, or a related field with 2-4 years of relevant experience.
· Proficiency in scripting languages (e.g., Python) and modern automation frameworks.
· Proven experience with CI/CD pipelines and infrastructure automation.
· Solid foundational knowledge of machine learning concepts and their practical application in real-world systems.
· Strong analytical and problem-solving capabilities with a demonstrated ability to identify trends in complex datasets.
· Solid experience with Agile development process and ways of working – Jira, Github, Source Control Management.
· Excellent communication and interpersonal skills, with the ability to thrive in diverse, cross-functional technical teams.
Preferred Qualifications
· AI Systems & Infrastructure: Direct experience with AI Technologies platforms and network assurance solutions, complemented by hands-on proficiency in cloud-based AI infrastructure, specifically AWS, Amazon Bedrock, and Azure OpenAI.
· Cloud-Native & Deployment: Demonstrated familiarity with cloud-native technologies and container orchestration, including Kubernetes and Docker, alongside proven experience in the end-to-end design and deployment of scalable machine learning models in production environments.
· Technical Expertise: Comprehensive experience with AI-native development tools and intelligent agent architecture, including LangChain, LangSmith, GraphQL, FastAPI, MuleSoft Agent Broker, and related LLM orchestration and API integration technologies.
Why Cisco?At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field with 2-4 years relevant experience
- Proficiency in scripting languages (e.g., Python) and modern automation frameworks
- Proven experience with CI/CD pipelines and infrastructure automation
- Solid foundational knowledge of machine learning concepts and practical application
- Strong analytical and problem-solving skills; ability to identify trends in complex datasets
- Experience with Agile development processes and tools (Jira, GitHub, source control management)
- Excellent communication and interpersonal skills
- Experience with AWS, Amazon Bedrock, and Azure OpenAI (cloud-based AI infrastructure)
- Familiarity with Kubernetes and Docker and deploying scalable ML models to production
- Experience with LangChain, LangSmith, GraphQL, FastAPI, MuleSoft Agent Broker, LLM orchestration, and API integration
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
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Leave & Time Off Breadth — Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
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Parental & Family Support — Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
