Job Summary

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
- Robust 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Cloud Engineer - Java | AWS | PostgreSQL | CI/CD (Jenkins, GitHub) (Bengaluru)
🏢 Cisco
📍 Bengaluru