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Job 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

Cross-team teamwork, build and maintain relationships with the customer teams, the user community, architects, and engineering teams, jointly work on key deliverables ensuring production scalability and stability
Effective Root cause analysis of major production incidents and developing learning documentation .
Plan and perform capacity expansion and upgrades in timely manner avoiding any scaling issues and bugs.
Automation of repetitive tasks to reduce manual effort and avoid Human errors.
Tune alerting and setup observability to proactively identify the issues and performance problems.
Work closely with L-3 teams in reviewing new use cases, cluster hardening techniques for building a robust and reliable platforms.
leverage Devops tools, disciplines( Incident, problem and change management) and standards in day to operations.
Core Skills (Some combination of:)
    · 10+ years of experience with modern middleware technologies. These might include (Tomcat, Apache, Springboot, SQS, JBoss, IBM MQ, IBM DataPower, Hazelcast, Flink, Connect Direct, SSL)
    · Understanding of Linux/Unix systems, networking, cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and infrastructure-as-code tools (Terraform, Ansible).
    · Proficiency with monitoring tools (Prometheus, Grafana, Datadog, etc.), logging systems (ELK stack, Splunk), and tracing tools (Jaeger, Zipkin).
    · Proven track record of automating complex tasks and processes to improve efficiency and reliability using Python, Go, Java, or similar.
Technical Areas You'll Grow In:
    · Cloud & System Architecture: Design scalable, resilient systems across hybrid cloud platforms (AWS, GCP, Azure)
    · AI/ML Operations: Support and optimize ML model deployment pipelines and monitoring systems
    · Observability & Performance: Master advanced monitoring, tracing, and performance optimization techniques
    · Automation & Intelligence: Build smart alerting systems and automated remediation workflows
    · Distributed Systems: Design and maintain globally distributed payment processing systems
What Makes You Thrive:
    · You're energized by solving complex problems
    · You believe in automation over manual processes
    · You enjoy mentoring others and sharing knowledge
    · You're comfortable with ambiguity and rapid change
    · You value building reliable systems over quick fixes


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



Qualifications

Basic 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
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
Hands on experience working as a Payment System SRE in managing cross platforms.
Excellent Python or Java programming skills for automation requirement for repetitive dev-ops tasks
Person will be responsible to perform SRE and Engineering activities Payment platforms
Understanding of Linux, networking, CPU, memory and storage and resilient system design.
Knowledge on Java and Python is must.
Excellent interpersonal, verbal, and written communication skills are mandatory for this role.
Hands on experience and knowledge on GenAI, LLMs, AIOps, Copilot is a plus.



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.





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