Sr. SW Engineer

Visa is hiring a Sr. SW Engineer in Bengaluru, India. Level rates it ; you can apply on Level.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include LangChain, LangGraph and PyTorch.
Level files it as a senior role.
Level lists 840 other open roles at Visa.
The role was posted in the last few days.

AI in this role

Build and enhance big data platforms and cloud ecosystems while leveraging Generative AI for automation and productivity.

langchainlanggraphpytorchtensorflowdatabrickshadoopsparkhbaseawspythonjavahtml+3

big-datafull-stack-developmentgenerative-aiautomationcloud-computing

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

We are seeking a highly motivated Hadoop Engineer with strong programming skills and hands-on experience in Big Data platforms on cloud. The ideal candidate will be responsible for supporting, maintaining, automating, and enhancing large-scale Hadoop and cloud-based ecosystems and contributing to software development initiatives.

This Sr. Software Engineer role is for an individual with excellent software engineering with hands-on development experience and a strong foundation in computer science, full-stack development and AI/ML technologies. This role involves software initiatives, leveraging modern programming languages, cloud platforms, APIs and Generative AI to deliver scalable, high-quality business solutions.

Perform engineering and administration duties for Big Data platforms built on open-source technologies such as Hadoop, Spark, and HBase

Design, develop, and implement automation solutions, tools and products to improve operational efficiency, platform reliability, and system scalability.

Managing AWS Big Data Cluster.

Write clean, efficient, and maintainable code based on business and technical requirements, and support the testing, deployment, and validation of software solutions.

Build and enhance front‑end applications using HTML, CSS, JavaScript, and SQL, applying strong UI/UX principles.

Develop and maintain back‑end services using Python, Java, and related technologies, including API design and integration.

Leverage Generative AI (GenAI) to drive innovative solutions, improve productivity, testing, and automation.

Collaborate with cross‑functional teams to translate business requirements into efficient technical solutions and tools.

Excellent interpersonal, verbal, and written communication skills.

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, 3+ years of relevant work experience

2+ year of experience with Big Data technologies (Hadoop, Spark) is required.

Expertise in one or more programming languages Python or Java required.

Preferred Qualifications: -

Hands-on experience in software engineering with strong coding skills

Experience with cloud platforms preferably AWS, GCP and Databricks.

AWS experience with big-data services such as AWS EMR plus cloud fundamentals (networking, IAM/security, observability).

Experience cloud migration from on-prem to cloud would be strong plus

Experience with AWS operational tooling (e.g.,CloudWatch/CloudTrail/SNS) and automation (e.g., CloudFormation) is a plus.

Solid foundation in computer science fundamentals and data structures

Proficiency in programming languages such as Python or JAVA and relevant AI libraries such as TensorFlow, PyTorch, etc.

Strong experience developing front-end (HTML, CSS, JavaScript) and back-end services

Demonstrated use of Generative AI in development and testing workflows

Experience with LLMs and frameworks such as LangChain or LangGraph

Working knowledge of Linux fundamentals and system concepts (CPU, memory, storage, networking)

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.

How we rate this

Sr. SW Engineer at Visa rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Sr. SW Engineer is an open job at Visa.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN - Bengaluru, India.
The job was posted on October 19, 2026.
Seniority: senior.
Applications are handled by Visa. Apply on Visa

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Big DataFull Stack DevelopmentGenerative AIAutomationCloud ComputingLangChainLangGraphPyTorch

Questions you could be asked

Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where full stack development was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Big Data, Full Stack Development, Generative AI, Automation, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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