Lead Site Reliability Engineer (GCP & Hybrid Cloud) Hybrid at Cisco - Mozambique

Austin, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Aug, 26

Salary

277600.0

Posted On

31 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Terraform, Kubernetes, Docker, Anthos Service Mesh, Istio, Apigee, GCP IAM, GCP Quota Management, Elasticsearch, Kibana, Hybrid Cloud Architecture, DDoS Hardening, Microservices, Cloud Cost Optimization, SRE, DevOps

Industry

Software Development

Description

The application window is expected to close on: 05/27/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This is a hybrid position. Meet the Team Join Cisco’s Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security - partnering across engineering, security, compliance, and product teams to bring trusted AI to life at an enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. As a Lead SRE, you will own the architectural integrity of our hybrid cloud infrastructure, ensuring our GCP and on-premise Kubernetes environments are resilient and secure. You will set the standard for automation and reliability that enables our AI models to scale globally. Your Impact Lead the architectural design of scalable hybrid-cloud environments, managing GCP and On-premise Kubernetes clusters with Anthos Service Mesh (ASM) and Istio. Direct the implementation of Identity and Access Management (IAM) policies and GCP Quota management to ensure secure and cost-effective resource utilization. Architect multi-region, load-balanced microservices with DDoS hardening, end-to-end encryption, and automated secrets management. Design a comprehensive observability strategy using Elasticsearch and Kibana to provide proactive alerts on service performance and cost envelope management. Partner with development leads to integrate "Security by Design" into the automation and AI agent lifecycle using Apigee for secure API management. Minimum Qualifications: Bachelor’s Degree in Computer Science, Engineering, or a related field. 7+ years of experience in Cloud/On-prem Operations, SRE, or DevOps. Expert-level proficiency with Terraform, Kubernetes (GKE & On-prem), and Docker. Hands-on expertise with Anthos Service Mesh (ASM), Istio, and Apigee. Deep understanding of IAM implementation and GCP Quota management. Preferred Qualifications: GCP Professional Cloud Security Engineer or Network Engineer certification. Experience with the ELK stack (Elasticsearch/Kibana) for large-scale observability. Strong financial acumen for cloud cost optimization and proactive budget alerting. Experience managing complex traffic between cloud platforms and on-premise data centers. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $165,000.00 - $277,600.00 Non-Metro New York state & Washington state: $146,700.00 - $247,000.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Lead the architectural design and integrity of hybrid cloud infrastructure, focusing on GCP and on-premise Kubernetes environments. Establish standards for automation, observability, and security to enable the global scaling of AI models.