Site Reliability Engineer - Sr. Consultant level - Observability, Python, Middleware, Cloud

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.

Qualifications

Required 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.

Preferred Qualifications :

The Skills You Bring : -

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.