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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 operating large-scale production systems, with a focus on configuration platforms and cloud environments. Proficient in leading technical initiatives, ensuring production reliability, and mentoring engineering teams.
Highest-signal resume keywords
Go ProgrammingPython ProgrammingCloud Environment ExperienceConfiguration Management ToolsProduction Reliability
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Large-Scale Production SystemsDistributed Systems DesignIncident ManagementCapacity PlanningContinuous Delivery
Soft Skills
Strong Communication Skills
Tools & Technologies
AWSGCPAzureGovCloudPuppetTerraformAnsibleKubernetes
Industry Keywords
Configuration PlatformOperational ExcellenceObservabilitySecurity ComplianceFedRAMP
Tech Stack
Tools & technologiesAnsibleAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPuppetPythonSplunkTerraformGo
About the role
Key responsibilities & impact- Set the long-term technical direction for ACM’s configuration platform
- Define architecture, technology investments, and build-versus-buy tradeoffs
- Lead complex projects spanning configuration delivery, disaster recovery, fleet management, and platform reliability
- Establish standards for code quality, system design, observability, and operational excellence
- Mentor engineers through code reviews, design feedback, pairing, and coaching
- Own production reliability and provide technical judgment during major incidents
- Design systems that reduce operational burden
- Develop and maintain a configuration platform enabling customers to manage Splunk Enterprise Cloud environments at scale
- Support production customers across AWS, GCP, Azure, and GovCloud environments
Requirements
What you’ll need- Bachelor’s degree plus 8 years of related experience, or Master’s degree plus 6 years, or PhD plus 3 years
- Experience building and operating large-scale production systems
- Fluency in Go and/or Python
- Experience designing resilient, scalable distributed systems in cloud environments such as AWS, GCP, Azure, or GovCloud
- Experience with configuration and infrastructure-as-code tools such as Puppet, Terraform, or Ansible at scale
- Experience leading major technical initiatives and influencing engineering direction beyond immediate teams
- Preferred: production observability, incident management, capacity planning, and continuous delivery experience
- Preferred: Kubernetes and container orchestration experience at production scale
- Preferred: experience building platforms used by other engineering teams
- Preferred: security, compliance, or regulated cloud environment background such as GovCloud or FedRAMP
- Preferred: open-source contributions in configuration management or cloud infrastructure
- Strong communication 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, subject to eligibility and continued employment
- 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 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 days per full calendar year to volunteer
- Annual bonuses for non-sales roles, subject to Cisco policies
