Sr. Site Reliability Engineer - PRE (Java, .Net, Linux, Windows sever, Containers, MySQL, MSSQL, Spark, Kafka, Bigdata)
Bengaluru, India
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany 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
The Loyalty & Benefit (Product Reliability Engineering) is a highly diversified team located across different geographic locations supporting critical financial applications from all major clients from all continents.
The scope of work includes all cutting edge and diversified technologies like Big Data, Hive, Spark, Scala, Java, Python, Kafka, HBASE, Containers, Kubernetes, AWS , Azzure, APIs, My SQL, Postgres, Redis, Mongo DB, DB2, Splunk, Control-M and many more. The position offers an incredible learning opportunity in GenAI and LLM.
Direct involvement with clients from different countries to resolve different queries gives a great learning scope on soft skillsets like communication, leadership, ownership.
The Work itself:
Loyalty and Benefits PRE team is responsible to maintain a stable and robust production system for all Applications which are handing a huge number of enrollments, campaigns, Online Access queries, Client interfaces for VISA. They are responsible for second level problem identification, resolution, security management, data analyses and client query resolution.
The team needs to support high availability continuous flow streaming services, classic heavy data handling batch services, online services with low turnaround time, client facing UI system.
- Works closely with service partners such as such as Data Platform team, VisaNet Integrated Platform (VIP) Operations, Infrastructure, networking, and storage engineering team to make sure all services are operational and without any member impact. Drive problem bridges by collaborating with others from different functional and technical areas and escalating as needed to resolve problems in a timely manner.
- Works directly with Client Solution and Sales team, business offices to onboard new clients, provide resolution to client queries. Sometimes directly work with clients to resolve their issues.
- Proactive analysis for production issues and identifying the RCA, resolution and implementation. Work with related teams to establish a long-term corrective measure.
- Take part in knowledge transfer sessions to learn about business functionalities and new technologies. Train wider team on key technologies.
- Creation of release, maintenance, security patching calendars and coordination within team to make sure seamless availability.
- Partner with Product development teams and provide Operational and resiliency requirements to new projects in the Design/Development phase.
- Monitor processing and ensure timely execution, delivery, and availability.
- Provide support to request items from different business offices, analyze data, develop new report requirements.
- Evaluate alternative methods, and present recommendations and justifications to management.
- Set audits and alerts to detect problems and facilitate maintenance activities.
- Identify improvement opportunities and build Automation as well as engaging in performance tuning of the code.
- Responsible for client migration, data migration and tech stack migration.
Essential Functions
The Skills You Bring:
- Team Player and Collaboration: Strong interpersonal, facilitation, and effective communication skills (both written and verbal). Strong Team player and ability to collaborate as part of virtual team across the globe.
- Learning: Quick learner to learn new technology, tools, and ability to cascade the knowledge to others.
- Evolve: Comfort in pushing the boundaries, “hacking” beyond traditional solutions. Ready to accept challenge, new technologies, explore and innovate.
- Decisiveness: Ability to take decision on prioritization and perform multiple tasks simultaneously and deliver on time with quality. To ensure quality execution planning on ETAs, make justified Go/No-Go calls. Ability to retain focus under stress during crisis.
- Growth: Strong self-motivation, sense of ownership and eagerness to learn new technologies and business ideas to ensure self growth and company growth.
- Code of Conduct: Must have strong business ethics, self-discipline, and trustworthiness to handle extremely sensitive confidential data in live production environment.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications
• Knowledge of scripting and/or query languages
• Good working knowledge of Unix or Linux OS, Windows Server a bonus
• Base understanding of bigdata technologies e.g. Hadoop framework, kafka, spark etc.
• Containers experience welcomed e.g. Kubernetes.
• Curiosity and interest in GenAI and LLMs
• Open to working flexible hours if/as needed.
• Ability to monitor, support and provide solutions to real time or near real time applications.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Big Data DB2 Engineering Generative AI Hadoop HBase Java Kafka Kubernetes Linux LLMs MS SQL MySQL PostgreSQL Python Scala Security Spark Splunk SQL Streaming
Perks/benefits: Career development Flex hours Startup environment
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