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Director, Software Engineering (14+ years, Scala, Spark, Data Pipeline, GenAI) Spark,

Visa is hiring a Director, Software Engineering (14+ years, Scala, Spark, Data Pipeline, GenAI) Spark, in Bengaluru, India. Level rates it ; you can apply on Visa.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions ChatGPT, Copilot and Scala among its tools and skills.
  • Level classes it as a lead role.
  • Visa has 822 other open roles on Level.

AI in this role

Lead software development teams in building secure fintech applications integrating AI/ML capabilities and Generative AI workflows.

ChatGPTCopilotScalaSparkMicrosoft Copilot
software-developmentdata-pipelinesgenaiagiledevsecops

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

Leads software development teams in delivering secure, scalable, high-quality fintech applications and platforms. Oversees the execution of the full software development lifecycle—from backlog refinement through build, test, deployment, monitoring, and iteration—ensuring delivery meets business priorities, regulatory requirements, and ethical standards. Drives disciplined agile and DevSecOps practices, automated testing, CI/CD pipelines, and continuous improvement to optimize delivery speed, quality, and resilience.

Ensures development work integrates responsibly with AI/ML capabilities—including Generative AI and Agentic AI coding—and that all outputs adhere to established data governance, model explainability, and financial regulatory compliance standards. Acts as a leader for engineering teams, removing blockers, enabling productivity, and fostering an inclusive, high-performance culture. Coaches and develops engineers to adapt to evolving tools, frameworks, and AI-driven workflows. Partners closely with product managers, QA, risk, compliance, and security functions to deliver safe, transparent, and customer-centric solutions. While primarily a leadership role, may spend up to 50–65% of time in hands-on coding, code reviews, and technical prototyping to guide best practices and maintain technical credibility.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:

  • Monitors throughput across multiple teams to determine capacity and oversees partnerships with stakeholders to define user requirements for complex projects.
  • Guides requirements gathering, feedback incorporation, and actionable metrics to assess delivery feasibility and reviews gaps in acceptance criteria.
  • Oversees translation of user requirements into system designs, ensuring alignment with business strategy and formalizing best practices.
  • Leads system architecture discussions, interprets findings from investigations, and owns design decisions for complex products.
  • Oversees project plans, release plans, and estimation processes, addressing escalated issues and removing technical obstacles.
  • Develops standards for code quality, security, and maintainability; updates security assessment processes to ensure code is free from threats.
  • Shapes best practices for debugging, automation, and code review across multiple products and teams.
  • Provides guidance on test planning, prioritizes tests, and ensures expected testing results across product features.
  • Leads system monitoring efforts, sets data analysis standards, and aligns project strategy for long-term value.
  • Provides technical expertise to resolve major incidents, ensures teams have resources to respond to incidents, and shares learnings to prevent recurrence.
  • Manages team decisions around developer tools, oversees selection and enhancement of tools, and shares best practices for complex products.
  • Identifies and develops engineering talent, ensures team skills support business goals, and disseminates knowledge to improve product reliability and performance.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications:

  • 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
  • Experience in leading software engineering teams in fintech, payments, or banking technologies/software systems.
  • Experience in developing and/or implementing web-based or mobile applications.
  • Experience in a leadership role with direct reports.
  • Experience in requirements gathering, system design, and architecture for complex software solutions.
  • Experience in agile delivery management and DevSecOps practices.
  • Experience in code development, review, and debugging for enterprise-scale applications.
  • Experience in test planning, execution, and automation.
  • Experience in incident response and resolution for software engineering teams.
  • Experience in talent management, coaching, and engineering development.
  • Experience in securities, payments, and banking technologies.
  • Experience working with container-based technologies.
  • Experience building and testing enterprise-scale web services.
  • Experience in product development and working on internal or client-facing project or technical teams.
  • Experience leading project teams.

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

Director, Software Engineering (14+ years, Scala, Spark, Data Pipeline, GenAI) Spark, at Visa rates 75 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

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

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software DevelopmentData PipelinesGenAIAgileDevsecopsChatGPTCopilotScala

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where data pipelines was part of your work. What did you do?
  3. Tell me about a project where genai was part of your work. What did you do?
  4. Tell me about a project where agile was part of your work. What did you do?
  5. Tell me about a project where devsecops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Development, Data Pipelines, GenAI, Agile, and Devsecops. 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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