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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering scalable software solutions using cloud-native architectures and Python, while applying secure coding practices and AI-driven engineering approaches. Proven ability to lead complex projects through the entire technical lifecycle, ensuring compliance with AI governance and collaboration across global teams.
Highest-signal resume keywords
Cloud-Native ArchitecturesPython ProgrammingAI/ML FrameworksAgile MethodologiesCI/CD Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud-Native ArchitecturesPython ProgrammingAI/ML FrameworksNode.js ProgrammingSecure Coding PracticesSDLCAgile MethodologiesPrompt EngineeringInfrastructure as CodeNetwork Automation
Soft Skills
Clear CommunicationCollaboration Skills
Tools & Technologies
AWSGCPAzureAnsibleTerraform
Industry Keywords
AI GovernanceArtificial Intelligence ComplianceGenerative AILarge Language Models
Tech Stack
Tools & technologiesAnsibleAWSAzureCloudGoogle Cloud PlatformJavaScriptNode.jsPythonSDLCTerraform
About the role
Key responsibilities & impact- Lead the design, development, and delivery of scalable software solutions across cloud-native and on-premises environments
- Own the technical lifecycle of complex projects
- Apply secure coding practices, user privacy principles, and UX-focused development
- Integrate AI-enabled frameworks and development tools
- Manage end-to-end implementation of high-impact product capabilities
- Collaborate across diverse, global teams
- Use AI-driven engineering approaches to accelerate product development and daily workflows
Requirements
What you’ll need- Bachelor’s degree plus 5 years of related experience, or Master’s degree plus 3 years of related experience, or PhD plus 0 years of related experience
- Experience with cloud-native architectures such as AWS, GCP, or Azure and on-premises environments
- Experience designing, deploying, and maintaining scalable solutions using Python
- Experience with AI/ML frameworks, generative AI, and large language models
- Experience leading end-to-end project delivery using SDLC, Agile methodologies, and secure coding practices
- Node.js programming experience preferred
- Experience in AI governance and artificial intelligence compliance preferred
- Hands-on prompt engineering and generative AI proficiency preferred
- Experience with CI/CD pipelines, infrastructure as code using Ansible or Terraform, and network automation preferred
- Clear communication and collaboration skills
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
- Cisco restricted stock unit grants may be available
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday
- Paid year-end holiday shutdown
- 4 paid days off for personal wellness
- 16 days of paid vacation time per full calendar year for non-exempt employees
- Flexible vacation time off program with no defined limit for eligible exempt employees
- 80 hours of sick time 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
- Hybrid work model
