Site Reliability Engineer - Sr. Consultant level - Observability, Python, M at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Observability, Python, Middleware, Cloud, Automation, AI ML Integration, OpenTelemetry, Monitoring, Logging, Infrastructure, CI CD, Containerization, Performance Tuning, Security Best Practices, Problem Solving, Collaboration, Adaptability

Industry

IT Services and IT Consulting

Description

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 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: 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 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.

Responsibilities

You will enhance the observability strategy across middleware infrastructure and maintain Always On availability for critical payment systems. This includes implementing modern monitoring solutions and driving automation initiatives.