✦ Luna Orbit — Data & Analytics

Software Engineer Data/AI/Intelligent Systems II (Full Time) - United States

at Cisco Systems

Unknown 💰 $123K – $200K USD / year Posted March 13, 2026
Salary $123K – $200K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Completion within the past 3 years or current enrollment with expected completion within 12 months
Category Data & Analytics

This role involves developing and maintaining data pipelines, machine learning infrastructure, and analytics platforms to support Cisco's AI-driven data solutions.

  • Develop scalable data pipelines
  • Build ML infrastructure
  • Maintain analytics platforms
  • Collaborate with data science teams
  • Ensure data reliability

The technical environment includes Python, ML frameworks, distributed data processing tools, containerization, and cloud infrastructure, focusing on scalable data and AI systems.

The ideal candidate is a mid-level data engineer with 2+ years experience in developing scalable data pipelines and machine learning infrastructure, proficient in Python and familiar with distributed processing and containerization.

Proficiency in PythonExperience with machine learning frameworksExperience with distributed data processing technologiesExperience with containerization and orchestration tools
AI/MLcloud platforms (AWSAzureGCP)distributed systems conceptsscalabilityfault tolerance
TensorFlowPyTorchscikit-learnApache SparkHadoopFlinkDockerKubernetes
PythonTensorFlowPyTorchscikit-learnApache SparkHadoopFlinkDockerKubernetesData pipelinesMachine learningData infrastructure
PythonTensorFlowPyTorchscikit-learnApache SparkHadoopFlinkDockerKubernetesData pipelinesMachine learningData infrastructure
collaborationproblem-solvingattention to detailcommunication

Preferred

AWS Certified Machine Learning - SpecialtyGoogle Cloud Professional Data Engineer
Industry Telecom
Job Function Data engineering and AI infrastructure development
CiscoPythonTensorFlowPyTorchscikit-learnApache SparkHadoopFlinkDockerKubernetesData pipelinesMachine learningData infrastructureAI/MLDistributed data processing

Lack of proficiency in Python, No experience with ML frameworks, No experience with distributed data processing

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