Sr. Systems Engineer (3 - 6 Years, Kafka, Ibm Mq, Devops, Cloud, Gen Ai, Automation)
Visa
Bengaluru, India
On-site
Kafka ecosystem engineering and support
Infrastructure automation with terraform and ansible
Cloud platform expertise with aws and amazon msk
Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories, dedicated to uplifting everyone by being the best way to pay and be paid
Job Summary
Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories, dedicated to uplifting everyone by being the best way to pay and be paid.
The Middleware Engineering team delivers end-to-end design, build, and support services for web and middle-tier platforms within the Platform as a Service organization, focusing on modern event streaming and messaging platforms.
The role involves engineering, implementation, administration, troubleshooting, performance tuning, and operational support for Kafka and managed file transfer platforms, with an emphasis on automation and security.
Matching Summary
Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories, dedicated to uplifting everyone by being the best way to pay and be paid.
Skills & Requirements
Must-have
Kafka ecosystem engineering and support
Infrastructure automation with Terraform and Ansible
Cloud platform expertise with AWS and Amazon MSK
Python and Bash scripting for automation
L3 engineering support and troubleshooting
Security best practices enforcement
Nice-to-have
Experience with IBM MQ and IBM Connect:Direct
Monitoring tools such as Prometheus and Grafana
Strong documentation and reporting skills
GenAI for operational task automation
Collaboration with cross-functional teams
Operational excellence and continuous improvement mindset
Key Requirements
5+ years relevant work experience with bachelor's degree
2+ years experience with advanced degree or PhD with no prior work experience
Strong hands-on Kafka experience
Experience with Terraform, Ansible, Python, and Bash
Solid AWS knowledge including Amazon MSK
Experience supporting IBM MQ and IBM Connect:Direct environments (preferred)