Cisco · 2 weeks ago
Software Engineering: AI/ML Platform - Golang/Python + DSA + Kubernetes (hybrid) (1448537)
Cisco is a company focused on revolutionizing data and infrastructure connections in the AI era. They are seeking a Software Engineer to join their platform team, concentrating on Kubernetes and cloud-native systems to support AI/ML workloads and enhance platform capabilities.
Communications InfrastructureEnterprise SoftwareHardwareSoftware
Responsibilities
Design scalable Kubernetes platforms to support ML workloads and Large Language Models (LLMs)
Provide client support for deploying AI/ML workloads, including Re-ranking and Embedding as a Service (RAGaaS)
Contribute to the development of end-to-end ML pipelines, from data ingestion to deployment
Implement MLOps best practices for model monitoring, logging, and maintenance in production
Collaborate with data scientists to optimize model performance and integration
Contribute to data governance and security standards for AI/ML workloads
Develop automation tools to streamline infrastructure management and improve efficiency
Stay updated on the latest trends in AI/ML to influence platform enhancements
Qualification
Required
5+ years of software engineering experience, including building and maintaining large-scale, cloud-native systems
Proficiency in Golang or Python, with experience extending Kubernetes or OpenShift using operators, controllers, CRDs, or webhooks. Experience with other managed Kubernetes platforms (GKE, EKS, AKS) is also acceptable
Strong knowledge of Kubernetes/OpenShift control plane internals, including how the system schedules, manages, and reconciles workloads across clusters
Experience supporting ML workloads, such as integrating model serving, autoscaling, or data processing pipelines, including OpenShift AI products
Strong coding and problem-solving skills, with experience troubleshooting, optimizing, and debugging complex systems
Preferred
2+ years of machine learning experience, including developing, deploying, or monitoring models in production
Hands-on experience with ML frameworks like TensorFlow or PyTorch, and building automated ML pipelines
Familiarity with MLOps tools (e.g., Kubeflow Pipelines, MLflow, Airflow, or KServe) to automate ML workflows
Knowledge of Large Language Models (LLMs) and RAG systems, including LangChain or vector databases (e.g., Pinecone, FAISS)
Experience working in cloud environments (AWS, GCP, Azure), integrating services with CI/CD pipelines and observability tools
Benefits
Medical, dental and vision insurance
A 401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness determined by Cisco
16 days of paid vacation time per full calendar year
Flexible vacation time off program
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
Annual bonuses subject to Cisco’s policies
Company
Cisco
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press.
H1B Sponsorship
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reference. (Data Powered by US Department of Labor)
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2025 (1238)
2024 (1231)
2023 (1273)
2022 (2127)
2021 (1991)
2020 (1173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1990-02-13IPO
Leadership Team
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