Site Reliability Engineer - Sr. Consultant level - Observability, Python, Middleware, Cloud
Listed on 2025-12-27
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IT/Tech
Cloud Computing, Systems Engineer
Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job DescriptionAbout 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.
WhatYou’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 Open Telemetry (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 web servers, application servers, Hazelcast, and IBM Data Power.
- 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.
- 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.
QualificationsRequired Qualifications
- 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ 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 Data Power).
- 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 Open Telemetry (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…
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