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Sr Manager – Software Engineering – Autonomous Digital Experience Management – Adem

Sr Manager – Software Engineering – Autonomous Digital Experience Management – Adem

CompanyPalo Alto Networks
LocationSanta Clara, CA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior, Expert or higher

Requirements

  • 8+ years of experience in backend or platform engineering, with at least 3+ years in engineering leadership roles
  • Proven success managing cloud-native applications on GCP (or AWS/Azure), especially with GKE/Kubernetes
  • Strong experience with distributed systems, microservices architecture, and REST/gRPC APIs
  • Proficiency in programming languages such as Go, Python, or Java
  • Deep knowledge of GCP services: Compute Engine, Kubernetes Engine, BigQuery, Pub/Sub, Cloud Functions, IAM, and VPC networking
  • Experience with Infrastructure as Code (e.g., Terraform, Pulumi) and CI/CD practices
  • Familiarity with telemetry and observability stacks (e.g., Prometheus, Grafana, OpenTelemetry)
  • Solid grasp of networking, security, and scaling strategies for cloud-based services
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field or equivalent military experience required

Responsibilities

  • Lead a team of engineers building high-scale backend services, deployed in Kubernetes and leveraging GCP’s data and compute infrastructure
  • Own project delivery across the full software lifecycle—from design and development to deployment, monitoring, and support
  • Drive technical strategy and architecture for core ADEM services, including data ingestion, processing, and analytics
  • Partner with Product Management, Architecture, and SRE teams to ensure performance, reliability, and security at scale
  • Encourage engineering best practices in CI/CD, observability, and infrastructure automation
  • Grow and mentor a high-impact engineering team through coaching, feedback, and career development
  • Promote a culture of innovation, inclusion, and continuous improvement within the team
  • Identify process and architectural improvements to scale engineering effectiveness and system performance

Preferred Qualifications

  • Experience with large-scale data systems and analytics pipelines is a plus