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Enterprise Solutions Engineer

Enterprise Solutions Engineer

CompanyZoox
LocationSan Mateo, CA, USA
Salary$200000 – $250000
TypeFull-Time
Degrees
Experience LevelMid Level, Senior

Requirements

  • Strong troubleshooting skills in both infrastructure and application layers
  • Proficiency in scripting (Python, Bash, PowerShell, or Go)
  • Strong Linux and Windows system administration experience
  • Hands-on experience with enterprise application management and troubleshooting systems and application performance issues
  • Understanding of networking concepts (TCP/IP, DNS, DHCP, VPNs, Firewalls, Load Balancers)

Responsibilities

  • Deploy, configure, and maintain enterprise solutions on IT infrastructure, servers, networks, and cloud services (AWS and on premise)
  • Optimize Linux and Windows environments for performance, security, and scalability
  • Implement high-availability and disaster recovery solutions to ensure system and application uptime
  • Create, manage, monitor, and optimize enterprise applications, development tools, and internal services
  • Troubleshoot and resolve system and application performance issues
  • Develop tools & processes to improve application lifecycle management, release processes, and incident response
  • Ensure seamless integrations between applications, APIs, and infrastructure components
  • Implement and maintain system and application monitoring tools
  • Develop and refine logging and observability strategies to detect issues proactively
  • Troubleshoot system, network, and application failures, performing root cause analysis (RCA) and implementing fixes
  • Optimize cloud resources and on-premise systems for cost-efficiency and performance

Preferred Qualifications

  • Certifications: AWS Certified SysOps Administrator, MCSE, CKA, etc.
  • Experience with containerization and orchestration (Docker, Kubernetes, Helm)
  • Familiarity with application lifecycle management and DevOps best practices
  • Knowledge of database performance tuning (PostgreSQL, MySQL, NoSQL)
  • Understanding of distributed systems and microservices architecture