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Salary
$49k – $106k per year (Estimated)
Location
Remote/Hybrid (Bengaluru, India)
Seniority
Staff · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Visa is an American payments technology company whose network traces back to the BankAmericard programme launched in 1958 and which became an independent public company in 2008. It does not issue cards or lend money; instead it operates VisaNet, the switching infrastructure that authorises, clears and settles hundreds of billions of transactions a year between issuing banks, acquirers and merchants in more than two hundred countries. Headquartered in San Francisco, the company earns fees on payment volume and processed transactions, and has expanded into account-to-account transfers, tokenisation, fraud scoring and open banking through Visa Direct and its value-added services division.

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

This Staff 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. Experience on AWS/GCP and Bigdata stack would be a strong plus.

  • Design, develop, test and deploy scalable full-stack software solutions with end-to-end ownership.
  • 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.
  • Responsible for Big Data SRE and engineering activities across big data and cloud environments ensuring high performance, reliability and scalability.
  • Develop products, tools and processes to automate day-to-day task.
  • Collaborate with cross-functional teams to translate business requirements into efficient technical solutions and tools.
  • Excellent interpersonal, verbal, and written communication skills.

This is a hybrid position. Expectations of days in office will be confirmed by your hiring manager.

Qualifications

  • 7-10 years of work experience and a Bachelor's Degree or 5 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 years of experience with a PhD. 1+ year of experience with cloud platforms (AWS/GCP) and/or Big Data technologies (Hadoop, Kafka) is a plus
  • Expertise in one or more programming languages Python(preferred) or Java
  • Hands-on experience in software engineering with strong coding skills
  • 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.
  • Experience with full-stack development platforms, including SQL, VS Code, REST, XML, JSON, APIs
  • Strong experience developing front-end (React,HTML, CSS, JavaScript) and back-end services
  • Hands-on experience designing and consuming APIs
  • Demonstrated use of Generative AI in development and testing workflows
  • Experience with LLMs and frameworks such as LangChain or LangGraph
  • Hands-on experience in machine learning, deep learning or reinforcement learning
  • Working knowledge of Linux fundamentals and system concepts (CPU, memory, storage, networking)
  • Experience with cloud platforms (AWS/GCP) and/or Big Data technologies (Hadoop, Kafka) is a plus
  • AWS experience with managed streaming or big-data services such as AWS MSK (Kafka) and/or EMR (preferred), plus cloud fundamentals (networking, IAM/security, observability).

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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