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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in scripting languages like Python and Bash, with a solid understanding of AI production environments and cloud platforms such as AWS. Capable of automating workflows and optimizing performance in AI Ops settings while collaborating on innovative solutions.
Highest-signal resume keywords
Proficiency In PythonExperience With GitHub ActionsKnowledge Of KubernetesUnderstanding Of CI/CD PracticesFamiliarity With AWS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Scripting LanguagesLinux System OperationsIncident Response BasicsAI Production EnvironmentsAutomation ScriptsData ScienceMachine LearningSoftware EngineeringStatisticsMathematics
Tools & Technologies
GitHub ActionsKubernetesAWSAI OpsCloud Platforms
Industry Keywords
AI Production EnvironmentsAutomationPerformance OptimizationIncident ResponseCI/CD
Tech Stack
Tools & technologiesAWSCloudKubernetesLinuxPython
About the role
Key responsibilities & impact- Automate and streamline IT operations in AI Ops environments
- Build smart solutions to reduce repetitive tasks
- Speed up incident response
- Maintain sharp and resilient AI production environments
- Automate critical workflows
- Optimize performance to keep AI systems resilient and scalable
- Collaborate directly on products, platforms, and architectures shaping Cisco's future
- Participate in targeted learning sessions, multifunctional networking, and engagement with organizational leaders
Requirements
What you’ll need- Currently enrolled in an undergraduate degree program (Associate's or Bachelor's)
- Qualifying education in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related field
- Expected to continue enrollment in the degree program after completing the internship
- Proficiency in scripting languages such as Python or Bash, evidenced through a coding challenge, technical assessment, or automation scripts/workflow samples
- Working knowledge of systems or network administration fundamentals, including Linux system operations, monitoring, or incident response basics
- Experience with tools such as GitHub Actions and Kubernetes for automation and deployment
- Ability to support AI production environments and manage sandbox environments
- Experience with AWS or other cloud platforms
- Understanding of CI/CD practices applied to AI/ML model deployment and monitoring
Benefits
Comp & perks- Medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Potential Cisco restricted stock unit grants, subject to eligibility and continued employment
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- Paid employee birthday day off
- Paid year-end holiday shutdown
- 4 paid personal wellness days
- 16 days of paid vacation per full calendar year for non-exempt employees
- Flexible vacation time off program for eligible exempt employees
- 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
- Additional paid time away for critical or emergency family issues
- Optional 10 paid volunteer days per full calendar year
- Annual bonuses for non-sales roles, subject to Cisco policies
- 12-week summer internship experience
- Targeted learning sessions
- Multifunctional networking
- Direct engagement with organizational leaders
