Summary written by Jobs Hindustan from Visa's advert and our data on 8,417 current jobs in India. How we check every job
At a glance
Visa has an opening for Software Engineer - Sr. Consultant Level (10+ years, Big Data, Architecture, Design) in Bengaluru. It is a full-time role in Data, AI & Analytics, asking for at least 8 years of experience, first listed on 31 October. The description mentions Generative AI, Machine learning, Java, Python, Microservices and Kafka. Visa has 91 other openings in India, 79 of them in Bengaluru. Across all employers on Jobs Hindustan there are 647 Data & AI openings in Bengaluru today; the typical one asks for 5 years.
Generative AIMachine learningJavaPythonMicroservicesKafkaApache SparkHadoop
Skills in this advert
How often each skill named in this advert appears across the 1,222 data & AI jobs we list in India today. Python is the most widely requested (54% of jobs), while Hadoop is the least common (7%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Visa's Workday site on 31 October 2026 and checked it again 4 November at 5:47 am IST. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Bengaluru. If you would need to move, ask whether relocation support is offered.
- Match the experience. The advert asks for at least 8 years of experience. If you are a little short, a close match on the skills in the advert can still get you shortlisted.
- Tailor your resume. Use the advert's own words, such as Generative AI, Machine learning and Java, wherever they are true for you. Our resume guide shows how.
- Know your notice period. If you are working now, recruiters will ask how soon you can join. Work out your last working day with our notice period calculator, and read our guide to notice periods and resigning.
- Understand any offer. The CTC in an offer letter is not what reaches your bank account each month. Our CTC to in-hand salary calculator gives a rough monthly figure, and our CTC guide explains each part.
- Apply only through Visa's own site. Our Apply button goes straight to Visa's Workday page. If anyone asks you to pay a registration fee, training fee or security deposit for this job, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Visa
Visa has 92 openings in India on Jobs Hindustan today across 2 cities. Most are in data & AI (35), software & IT (24) and sales & BD (7). The biggest locations are Bengaluru (80) and Mumbai (11). 1% of them can be done from home, and 2% are open to freshers or interns. We collect Visa's jobs every day straight from its own careers system (Workday), never from job boards, agencies or consultants.
The employer's advert
This is Visa's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from VisaHide the advert530 words
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
The Opportunity:
We are seeking an accomplished Software Engineer - Sr. consultant Level to help shape the technical strategy and architecture of next-generation Data Engineering and Generative AI platforms within Visa's Payment Fraud Disruption engineering team.
This role combines deep hands-on engineering with technical leadership. You will influence architecture, guide engineering practices, mentor engineers, and lead the delivery of scalable data and AI platforms supporting fraud detection, investigation, risk intelligence, and operational excellence.
The ideal candidate brings strong expertise in distributed systems, data platforms, cloud-native architectures, and Generative AI, along with a track record of leading complex technical initiatives.
What You Will Do:
- Lead the architecture, design, and development of scalable data platforms, APIs, and distributed services.
- Design real-time and batch processing solutions supporting fraud intelligence, analytics, and machine learning workloads.
- Drive production adoption of Generative AI, RAG, intelligent copilots, and agentic workflows.
- Partner with Product, Data Science, Platform Engineering, and Security teams to define technical strategy and execution plans.
- Improve scalability, reliability, security, observability, and operational excellence across critical platforms.
- Mentor engineers, establish reusable patterns and engineering standards, and influence technical direction across teams.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
- Bachelor's degree in computer science, Engineering, Data Science, or a related technical field.
- 8+ years of software engineering experience building enterprise-scale applications, platforms, or data-intensive systems.
- Strong programming expertise in Java and/or Python.
- Experience designing and building distributed systems, microservices, APIs, and large-scale data platforms.
- Strong understanding of system design, data structures, algorithms, scalability, and performance optimization.
- Demonstrated ability to lead complex technical initiatives, communicate architecture decisions, and influence engineering outcomes.
Preferred Qualifications:
Data Engineering:
- Deep experience with technologies such as Apache Kafka, Apache Flink, Apache Spark, Hadoop/Hive, ClickHouse, PostgreSQL, or MySQL.
- Experience designing scalable data pipelines, streaming architectures, analytics platforms, and data quality controls.
Generative AI:
- Experience building and operating production-grade applications using Large Language Models (LLMs).
- Hands-on experience with RAG, vector databases, prompt engineering, AI agents, tool calling, and orchestration patterns.
- Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
Cloud & Platform Engineering:
- Experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform.
- Strong experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.
- Strong understanding of observability, monitoring, reliability engineering, and production operations.
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.
Jobs Hindustan copied this listing from Visa's official careers site on 30 October 2026 and checked it again 4 November at 5:47 am IST. Visa never asks candidates for money. If anyone does, it is a scam.
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