Software Developer - Senior Consultant level, Middleware Reliability Engineering

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

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.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

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.

What You'll Do

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

Impact: 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

Growth: 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

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Required 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) or 6 years of work experience with a PhD, OR 10+ years of relevant work experience.

Preferred Qualifications:

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

The Skills You Bring:-

Problem-Solving Excellence: You possess exceptional analytical abilities to quickly identify and resolve complex technical issues, with a focus on root cause analysis and permanent solutions

Automation Mindset: You're passionate about automating repetitive tasks and creating scalable solutions

Continuous Learning: You thrive on learning new technologies and transferring knowledge to others

Collaborative Approach: You work effectively with cross-functional teams and communicate clearly with both technical and non-technical stakeholders

Operational Focus: You understand the importance of reliability and performance in production environments

Adaptability: You're comfortable working in a dynamic environment and can prioritize multiple tasks effectively