Solutions Architect
Cisco · Bangalore, India · Product and Engineering
About this role
Cisco is hiring a mid-level Solutions Architect in the software engineering function based in Bangalore, India. The posting calls out experience with Python, AWS, GCP, Azure.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India
- Department
- Product and Engineering
- Posted
- May 18, 2026
More roles at Cisco
Job description
from Cisco careersMeet the Team
The Cisco Cloudx Ops team is a dynamic group of developers, Solutions Architects, and data engineers dedicated to supporting Cisco’s public cloud infrastructure and operations. As part of the Cloud Management and Operations (CMO) team within Cisco IT, we build the platforms and automations that enable governance, operational efficiency, cost management, and security guardrails across Cisco’s public cloud environments. We are a diverse, collaborative team of innovators committed to shaping the future of cloud technology through transformative, secure, and scalable solutions.
Your Impact
As a Solutions Architect with a focus on Data and AI/ML, you will lead the planning, design, and implementation of high-impact technology solutions. You will bridge the gap between complex data architecture and intelligent automation, architecting scalable systems that integrate diverse data sources, optimize cloud resources, and drive operational excellence. You will influence technology strategy, mentor engineering teams, and collaborate with collaborators to deliver business-critical features that define the future of Cisco's public cloud journey.
Key Responsibilities:
• Strategic Architecture: Architect, design, and implement organizational policies, solutions and frameworks to support multi-tenancy Azure, GCP and AWS environments.
• Data & AI Infrastructure: Design, build, and maintain scalable ETL pipelines using AWS Glue, Apache Airflow, and Snowflake. Architect AI-driven agents and predictive models for drift detection, cost anomaly detection, and cloud resource forecasting.