Site Reliability Engineer - Any Database Stack (ElastiCache/Redis) | AWS | Terraform | Ansible | Jenkins (4-7 Years)

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 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

• Design, develop, and maintain scalable backend systems using Python flask, sqlalchemy, apscheduler, cache.
• 4-7 years of experience in DevOps, Cloud Engineering, SRE, or Platform Engineering roles
• Support and manage Elasticcache/Redis , Valikey
• 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)

• 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.

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.

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