Description
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.
As a DevOps Engineer (G8), 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.
Key Responsibilities
- Design, develop, and maintain scalable backend systems using Python flask, sqlalchemy, apscheduler, cache.
- Design and manage AWS cloud infrastructure (EC2, S3, RDS, VPC, IAM)
- Implement Infrastructure as Code using Terraform and Ansible
- Build and maintain CI/CD pipelines using Jenkins and GitHub
- Automate infrastructure provisioning, deployments, and operational workflows
- Monitor system performance, reliability, and availability; troubleshoot production issues
- Support and manage streaming platforms such as Kafka
- Build or support backend utilities/services using Python and/or Java
- Support infrastructure for data platforms and AI/ML workloads (including GenAI/LLM systems)
- Collaborate with engineering teams to improve deployment velocity and system efficiency
Minimum Qualifications
- 4-7 years of experience in DevOps, Cloud Engineering, SRE, or Platform Engineering roles
- Strong hands-on experience with AWS Cloud (EC2, S3, RDS, IAM, VPC)
- Proven experience with Terraform (Infrastructure as Code)
- Strong experience with Ansible (configuration management and automation)
- Hands-on experience in building and managing CI/CD pipelines (Jenkins, GitHub)
Preferred Qualifications
- Experience with streaming systems such as Kafka
- Hands-on experience with PostgreSQL or similar databases
- Familiarity with OpenSearch / Elasticsearch , Cassandra (NoSQL systems)
- Proficiency in Python and/or Java for automation or backend support
- Experience with Docker and Kubernetes
- Exposure to AI/ML workloads, data pipelines, or GenAI systems.
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