Meet the Team
We are the Webex Persistence Team within the Webex Service Engineering & SRE organization. Our team designs, builds, and operates
highly scalable persistence services powering Webex Teams, Webex Meetings, and the broader Webex Suite. We work across
Webex Data Centers and AWS Cloud environments, ensuring high availability, reliability, and performance at a global scale.
As part of this team, you will work on mission-critical infrastructure and platform systems, including data, streaming, and persistence layers, with a strong focus on automation, scalability, and cloud-native engineering.
Your Impact
We are looking for a DevOps Engineer (G8) with strong expertise in Python, AWS, Infrastructure as Code, and CI/CD pipelines to build and operate scalable, automated platforms.
This role is focused on hands-on implementation, automation, system reliability, and platform support, with exposure to data platforms, streaming systems, and AI/ML workloads.
Key Responsibilities
• Design, develop, and maintain scalable backend systems using Java and Python
• Build and optimize data storage solutions using PostgreSQL and distributed databases
• Proficiency with Docker and Kubernetes for container orchestration in production environments.
• Implement infrastructure automation using Unusable
• Build and manage CI/CD pipelines using Jenkins and GitHub
• Work on AI/ML-enabled features, including data pipelines and intelligent services
• Ensure system scalability, performance, and reliability across distributed environments
• Collaborate with cross-functional teams including product, DevOps, and data engineering
• Participate in design reviews, code reviews,Code writing and architecture discussions
• Collaborate with engineering teams to improve deployment velocity and system efficiency.
Minimum Qualifications
-4+ years of experience in software engineering or data platform development
- Strong programming skills in Java, Python
- Hands-on experience with PostgreSQL or similar relational databases
- Strong experience with AWS cloud services (EC2, S3, RDS, Lambda, etc.)
- Experience with CI/CD tools like Jenkins and version control (GitHub)
- Experience in automation/configuration management (Ansible preferred)
- Solid understanding of distributed systems and microservices architecture
- Exposure to AI/ML concepts or platforms.
Preferred Qualifications
• Experience with Docker and Kubernetes
• Exposure to AI/ML workloads, data pipelines, or GenAI systems
Familiarity with NoSQL Database Mysql.
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.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
