Software Developer - Senior Consultant level, Middleware Reliability Engineering
Visa · Bangalore · 10+ yrs experience · Posted 2026-06-01
Tech stack: AWS, Ansible, Azure, Docker, GCP, Kubernetes, Python, Terraform
About the role
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Responsibilities:
- About The Role
- We are seeking a skilled Software Developer to join our Middleware Reliability Engineering team. In this role, you will be responsible for enhancing our observability strategy across our middleware infrastructure, helping us maintain Always On availability for critical payment systems. You'll work with a global team to implement modern monitoring solutions, integrate with AI ML frameworks, and drive automation initiatives that ensure exceptional reliability and performance of our middleware services.
- Observability Transformation:
- Lead the review and enhancement of our observability strategy for the middleware portfolio, integrating with Prometheus, Grafana, and Splunk to ensure comprehensive coverage and effectiveness
- Migration Support:
- Play a key role in our migration from Splunk to ELK stack, ensuring seamless transition and improved functionality
- AI ML Integration:
- Develop and maintain integrations with internal AI ML frameworks to enhance operational support and incident response
- OTEL Implementation:
- Evaluate opportunities and implement OpenTelemetry (OTEL) across our middleware stack
- Cloud Observability:
- Design and implement observability strategies for middleware products deployed on public cloud platforms (AWS, Azure, GCP)
- Technology Mastery:
- Develop deep expertise in our middleware technologies, including webservers, application servers, Hazelcast, and IBM DataPower
- Automation Development:
- Identify and implement automation opportunities using Python to streamline operations and enhance reliability
- 24x7 Support:
- Participate in on-call rotations to provide critical support for middleware infrastructure, troubleshooting complex issues in production environments
- Why You'll Love It
- Your work will directly contribute to the reliability of systems processing billions of transactions globally
- Innovation:
- Opportunity to implement cutting-edge observability solutions and AI ML integrations
- Continuous learning environment with exposure to diverse technologies and cloud platforms
- Collaboration:
- Work with talented engineers in a collaborative, inclusive team environment
- Flexibility: Hybrid work model with a balance of remote and office-based collaboration
Qualifications:
- Required
- 10+ years of relevant work experience with a Bachelor’s Degree or at least 8 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 10+ years of relevant work experience.
- Preferred
- 5+ years of experience working with observability solutions (Prometheus, Grafana, Splunk, ELK)
- Strong Python coding experience for developing automation tools and integrations
- Working knowledge of middleware products (e.g., Tomcat, Apache, JBoss, Hazelcast, IBM DataPower)
- Experience with monitoring and logging infrastructure design and implementation
- Familiarity with public cloud platforms (AWS, Azure, GCP) and their monitoring capabilities
- Understanding of infrastructure-as-code principles using tools like Terraform or Ansible
- Experience with CI CD pipelines and practice
- Experience with OpenTelemetry (OTEL) implementation
- Knowledge of AI ML integration for operational tooling
- Experience with containerization technologies (Docker, Kubernetes)
- Background in Site Reliability Engineering or similar operational roles
- Experience with middleware performance tuning and optimization
- Understanding of security best practices for middleware components
Qualifications
- 10+ years of relevant work experience with a Bachelor’s Degree or at least 8 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
- 6 years of work experience with a PhD
- 10+ years of relevant work experience.
- 5+ years of experience working with observability solutions (Prometheus, Grafana, Splunk, ELK)
- Strong Python coding experience for developing automation tools and integrations
- Working knowledge of middleware products (e.g., Tomcat, Apache, JBoss, Hazelcast, IBM DataPower)
- Experience with monitoring and logging infrastructure design and implementation
- Familiarity with public cloud platforms (AWS, Azure, GCP) and their monitoring capabilities
- Understanding of infrastructure-as-code principles using tools like Terraform or Ansible
- Experience with CI CD pipelines and practice
- Experience with OpenTelemetry (OTEL) implementation
- Knowledge of AI ML integration for operational tooling
- Experience with containerization technologies (Docker, Kubernetes)
- Background in Site Reliability Engineering or similar operational roles
- Experience with middleware performance tuning and optimization
- Understanding of security best practices for middleware components
Responsibilities
- About The Role
- We are seeking a skilled Software Developer to join our Middleware Reliability Engineering team.
- In this role, you will be responsible for enhancing our observability strategy across our middleware infrastructure, helping us maintain Always On availability for critical payment systems.
- You'll work with a global team to implement modern monitoring solutions, integrate with AI ML frameworks, and drive automation initiatives that ensure exceptional reliability and performance of our middleware services.
- Observability Transformation:
- Lead the review and enhancement of our observability strategy for the middleware portfolio, integrating with Prometheus, Grafana, and Splunk to ensure comprehensive coverage and effectiveness Migration Support:
- Play a key role in our migration from Splunk to ELK stack, ensuring seamless transition and improved functionality
- AI ML Integration:
- Develop and maintain integrations with internal AI ML frameworks to enhance operational support and incident response OTEL Implementation:
- Evaluate opportunities and implement OpenTelemetry (OTEL) across our middleware stack Cloud Observability:
- Design and implement observability strategies for middleware products deployed on public cloud platforms (AWS, Azure, GCP)
- Technology Mastery: Develop deep expertise in our middleware technologies, including webservers, application servers, Hazelcast, and IBM DataPower Automation Development:
- Identify and implement automation opportunities using Python to streamline operations and enhance reliability 24x7 Support:
- Participate in on-call rotations to provide critical support for middleware infrastructure, troubleshooting complex issues in production environments
- Why You'll Love It
- Your work will directly contribute to the reliability of systems processing billions of transactions globally Innovation:
- Opportunity to implement cutting-edge observability solutions and AI ML integrations
- Continuous learning environment with exposure to diverse technologies and cloud platforms Collaboration:
- Work with talented engineers in a collaborative, inclusive team environment
- Flexibility: Hybrid work model with a balance of remote and office-based collaboration