✦ Luna Orbit — AI & Machine Learning

Senior Staff AI/ML Engineer

at Palo Alto Networks

📍 Office - USA - CA - Headquarters Onsite Posted April 03, 2026
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Position Details

Type Full-Time
Experience senior
Exp. Years 5+ years
Education M.S./B.S. in Computer Science or Electrical Engineering or equivalent military experience
Category AI & Machine Learning

About this role

Seeking a senior AI/ML engineer to drive backend systems for security-focused AI solutions, combining backend software engineering with ML deployment and monitoring on GCP.

Key Responsibilities

  • Develop scalable backend systems and APIs for ML components
  • Architect data pipelines for training/validation/real-time inference
  • Collaborate with data scientists to deploy and monitor prompts
  • Ensure production integration, performance, and reliability
  • Develop automation for CI/CD and system monitoring

Technical Overview

Stack includes Java/Python, GCP, RESTful APIs, microservices, Kubernetes, Docker, TensorFlow, PyTorch; CI/CD via Jenkins/GitLab/ Tekton; focus on scalable ML systems and real-time inference.

Ideal Candidate

The ideal candidate is a senior software/ML engineer with strong MLOps experience, solid GCP skills, and a track record delivering production-grade ML systems with RESTful microservices.

Must-Have Skills

5+ years of experience using an Object–Oriented programming language (Java/Python)Experience with cloud-native service development stack on GCPKnowledge of Object Oriented Programming design conceptsSolid grasp of RESTful API design and micro services architectureBasic understanding of machine learning concepts and familiarity with ML frameworks (e.g.TensorFlowPyTorch)Skilled in diagnosing and solving complex problems while providing detailed technical analysisExperience with CI/CD tools (JenkinsGitLab CITekton)

Nice-to-Have Skills

KubernetesDockerKafkaSparkFlinkOpen-source contributionsLLM inference engines (e.g.vLLM)

Tools & Platforms

KubernetesDockerJenkinsGitLab CITektonGoogle Cloud PlatformTensorFlowPyTorch

Required Skills

5+ years OO programming (Java/Python)cloud-native service development on GCPREST APImicroservicesTensorFlowPyTorchKubernetesDockerCI/CDdistributed systems

Hard Skills

JavaPythonGCPRESTful APIMicroservicesTensorFlowPyTorchKubernetesDockerCI/CDJenkinsGitLab CITektonCloud-native service developmentDistributed systems

Soft Skills

collaborationcommunicationteam playerproblem-solvingdetail-oriented

Industry & Role

Industry Cybersecurity
Job Function Drive backend + ML system integration and deployment for security-oriented AI solutions on GCP.
Role Subtype ML platform engineer
Tech Domains Google Cloud Platform, TensorFlow, PyTorch, Kubernetes, Docker, REST API, Java, Python

Clearance & Visa

Visa Sponsorship Yes

Keywords for Your Resume

senior staff ai/ml engineerprincipal software engineerprisma airsmlopskubernetesdockertensorflowpytorchtensorrtvllmrestful apigoogle cloud platformamazon web servicesazuredistributed systemsreal-time inferencepythonjava

Deal Breakers

Lack of 5+ years of OO programming experience, No cloud-native experience on GCP, No Kubernetes/Docker exposure

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