1,982,706open jobs
117,124companies
250,179added this week
Browse all
Salary
≈ $66k – $135k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Architect · 13+ years exp
Employment
Full-Time

First seen by Alion on Oct 23, 2026. Visa scores A on the Alion truth index.

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

Job Summary

The Acceptance Solutions Product Development team are the engineers responsible for a portfolio of products that drive diversification of Visa revenue, differentiate our network, and deliver value-added solutions across other rails. This is part of a strategy to increase total merchant value by developing solutions that address complex and emerging needs of both merchants and acquirers. Our mission is to drive the future of payment acceptance, helping our clients navigate digital commerce complexities and address an increasing need for flexibility and agility.

The goal of the Visa Acceptance Platform is to be the world’s most open payment platform by delivering market leading, globally relevant, omnichannel acceptance componentry through open, composable, modular APIs delivered with Visa-grade resilience, security, maintenance, and scale.

We are seeking a dynamic, hands-on engineering leader to lead teams building secure, high-performing distributed systems for payment acceptance. Our technology stack includes Java, Containers, Kafka, relational databases, Docker, Kubernetes, and modern cloud-native engineering practices. The ideal candidate brings strong software engineering depth, proven people leadership, and the ability to stay close to day-to-day design, code, architecture, delivery, and operational decisions while partnering with architecture, product, security, and operations teams to deliver resilient platforms at scale.

This role requires a leader who can balance strategic direction with active hands-on engineering involvement, apply AI/ML and Generative AI to improve engineering productivity and business outcomes, and mentor engineers to grow their technical capabilities and careers. This is an opportunity to lead talented teams while remaining deeply engaged in the technical details that shape secure, scalable payment acceptance. Be a part of our mission to shape the future of secure payments.

Essential Functions

  • Serve as the hands-on technical lead for Payment Processing Platform across the Visa Acceptance Platform, providing technical direction across architecture, design, implementation, scalability, resiliency, and operational readiness.
  • Lead the design, implementation, and deployment of secure, reliable, robust, and interoperable payment acceptance products.
  • Provide engineering leadership to ensure solutions align with platform principles, architecture standards, and Visa-grade availability, resiliency, and operational excellence expectations.
  • Remain actively hands-on with architecture, design reviews, code reviews, proof-of-concepts, performance analysis, debugging, technical troubleshooting, production-readiness, and critical delivery decisions on a day-to-day basis.
  • Apply AI/ML, Generative AI, automation, and intelligent engineering practices to improve software delivery, search relevance, analytics capabilities, operational insight, developer productivity, and business outcomes.
  • Define and execute the technical strategy for payment processing and acceptance platforms in alignment with product vision, business priorities, and long-term platform evolution.
  • Drive delivery of fit-for-purpose products and platform capabilities that improve time-to-market while maintaining security, quality, scalability, and reliability.
  • Design and evolve secure, reliable, and scalable search, indexing, analytics, enrichment, and data-processing capabilities that support high-volume payment acceptance use cases.
  • Provide technical leadership for modern, intuitive, secure, and performant user interfaces that enable search, analytics, reporting, operational insights, and data-driven workflows for internal and external users.
  • Set technical direction for event-driven data flows, transaction enrichment, search indexing, analytics pipelines, user-facing dashboards, observability, and operational insights in alignment with product, platform, security, user experience, and business objectives.
  • Lead technical design for event correlation, transaction matching, retry handling, dead-letter queues, replay, idempotency, exactly-once processing considerations, and high-throughput data movement.
  • Establish and continuously improve engineering best practices for application development, testing, deployment, observability, monitoring, incident response, and operational readiness, strengthening reliability, performance, maintainability, developer productivity, and operational excellence across Search and Analytics capabilities.
  • Partner with application, data, platform, product, regional, business, client-facing, security, privacy, risk, governance, compliance, and operations teams to translate requirements into high-quality solutions that meet functional and non-functional requirements (security, latency, availability, compliance, maintainability) and applicable policies, standards, regulatory expectations, and customer commitments.
  • Communicate and present technical strategy, tradeoffs, risks, dependencies, delivery progress, and recommendations clearly, adapting to audiences that include executive leaders, business partners, product partners, architecture forums, and engineering teams.
  • Coach, mentor, and develop engineers, senior engineers, technical leads, and engineering leaders through regular feedback, design reviews, architecture discussions, hands-on problem solving, technical deep dives, brown bag sessions, tech talks, production troubleshooting, and career development conversations.
  • Build and lead high-performing teams by promoting collaboration, constructive debate, accountability, inclusion, and execution excellence consistent with Visa Leadership Principles.
  • Bring forward new ideas, engineering improvements, and technology recommendations that increase team effectiveness, improve developer productivity, and advance platform capabilities.
  • Influence technical strategy across teams without relying on formal reporting authority, using strong engineering judgment, collaboration, credibility, and hands-on technical depth.

Qualifications

Basic Qualifications

  • 10+ years of relevant work experience and a Bachelors degree, 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.
  • Demonstrated success leading high-performing, multi-disciplinary, and geographically distributed software engineering teams, including people management, coaching, performance development, delivery accountability, and hiring, developing, and retaining senior technical talent.
  • Deep experience designing, building, and operating globally distributed, mission-critical systems that require high availability, scalability, resiliency, and security, and that support very high transaction volumes with strict availability, latency, security, and compliance requirements.
  • Proven ability to solve complex technical and organizational problems across multiple domains, systems, and teams.
  • Experience setting technical direction, influencing architecture and delivery strategy, and aligning engineering execution with product and business objectives.
  • Strong proficiency in modern software engineering practices, programming languages, API design, system design, testing, deployment, and operational excellence, with a strong hands-on background in API-first software product development using technologies such as Java/J2EE, Spring Boot, Vert.x, REST, Kafka, Hazelcast, Git, Maven, CI/CD pipelines, and test automation.
  • Recent hands-on experience with architecture, design, coding practices, code reviews, debugging, production support, and technical decision-making in complex software systems.
  • Experience with cloud platforms, Kubernetes, containerized deployment models, and modern DevOps practices.
  • Experience with event-driven architecture, streaming platforms such as Kafka, and high-throughput transaction or data processing systems, including resilient patterns such as event correlation, transaction matching, retry mechanisms, dead-letter queues, replay, idempotency, and exactly-once processing considerations.
  • Experience delivering secure software platforms, including familiarity with authentication, authorization, encryption, identity, and secure engineering practices.
  • rack record of mentoring engineers, developing technical leaders, and building strong engineering culture.
  • Experience applying AI-enabled engineering practices, automation, or developer productivity improvements across software delivery teams, and implementing, deploying, or governing AI/ML, Generative AI, or agentic AI capabilities in production environments or engineering workflows.
  • Experience in payments, financial services, fintech, or high-scale transaction processing environments, including payment processing, transaction lifecycle concepts, payment network protocols, and acceptance workflows.
  • Experience partnering with executive leadership, product leaders, technical product managers, regional teams, and business stakeholders to define strategy, roadmaps, requirements, priorities, and delivery plans.
  • Experience with financial services compliance, risk, and control requirements such as PCI-DSS, SOX, security standards, audit readiness, and operational controls.
  • Strong experience with agile delivery, software development lifecycle practices, engineering metrics, continuous improvement, developer productivity, and operational performance management.
  • Excellent problem-solving, analytical, communication, and influencing skills, with the ability to form, advocate, and communicate an independent technical viewpoint grounded in hands-on engineering experience.
  • Long-term strategic thinker who stays current with emerging technologies and translates them into practical engineering and business outcomes.
  • Highly driven, resourceful, results-oriented, and collaborative, with strong communication skills and a focus on durable, win-win outcomes.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,982,706 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Leadership
Similar stack
Same company
Bengaluru
≈ $53k – $110k per year (Estimated) • In office • Bachelor's Degree • Bengaluru
DevOps
GCP
Management
Agile
Apply
≈ $51k – $104k per year (Estimated) • In office • Full-Time • 10+ years exp • Bengaluru
Management
Confluence
Jira
Agile
Scrum
Apply
≈ $44k – $90k per year (Estimated) • Hybrid • Full-Time • 14+ years exp • Noida
DevOps
AIOps
SLI/SLO/SLA
Management
ITIL
ITSM
Apply
≈ $51k – $105k per year (Estimated) • In office • Full-Time • 18+ years exp • Bachelor's Degree • Mangaluru
AI/ML
Claude
DevOps
AWS
Platform Engineering
Apply
≈ $54k – $111k per year (Estimated) • In office • 10+ years exp • Bengaluru
Python
SQL
Databases
MySQL
PostgreSQL
Snowflake
Databricks
Apache Kafka
AI/ML
AI Agents
RAG
LLMOps
Machine Learning
DevOps
GCP
Azure
AWS
Platform Engineering
Analytics
ETL/ELT
Apply
≈ $33k – $82k per year (Estimated) • In office • 13+ years exp • Bengaluru • Noida
Python
JavaScript
Java
TypeScript
Node JS
Python
Flask
FastAPI
Django
Java
Spring Boot
Databases
MySQL
PostgreSQL
Cassandra
DynamoDB
Apache Kafka
AI/ML
Embeddings
AI Agents
LLM
RAG
Frontend
Angular
React.js
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Platform Engineering
Apply
SDE 3 (Glance) 1 day ago
In office • 9+ years exp • Bengaluru
Python
Go
Java
SQL
Databases
Apache Kafka
AI/ML
Flink
DevOps
Terraform
GCP
Pulumi
Azure
AWS
Kubernetes
FinOps
Amazon Kinesis
Management
Agile
Apply
Solution Architect 1 day ago
≈ $29k – $50k per year (Estimated) • In office • 7+ years exp • Hyderabad
Python
JavaScript
Java
Kotlin
TypeScript
Python
FastAPI
Kotlin
Mockito
Databases
PostgreSQL
Redis
Apache Kafka
Frontend
GraphQL
Angular
Mobile
JUnit
DevOps
Rest API
Azure DevOps
GitHub Actions
Azure
CI/CD
AWS
Docker
Kubernetes
GitHub
Cybersecurity
SonarQube
Management
Agile
Scrum
QA
TestNG
Selenium
Cypress
Playwright
Postman
Pytest
Apply
In office • 4+ years exp • Mumbai
JavaScript
Java
TypeScript
Java
Spring Boot
Hibernate
Databases
MySQL
PostgreSQL
Apache Kafka
Frontend
Angular
DevOps
Rest API
GCP
Azure
Git
AWS
Apply
SDE 3 1 day ago
In office • 4+ years exp • Bengaluru
Java
Databases
HBase
Cassandra
RabbitMQ
ActiveMQ
Couchbase
ElasticSearch
Apache Kafka
Apply
Sr. Director 26 days ago
≈ $64k – $130k per year (Estimated) • In office • Full-Time • 15+ years exp • Bachelor's Degree • Bengaluru
Python
Java
AI/ML
Hadoop
Spark
Claude Code
Flink
DevOps
gRPC
CI/CD
Management
Agile
Apply
≈ $64k – $131k per year (Estimated) • In office • Full-Time • 13+ years exp • Bachelor's Degree • Bengaluru
Databases
Apache Kafka
AI/ML
Copilot
Hadoop
ChatGPT
JAX
TensorFlow
PyTorch
Ray
Machine Learning
DevOps
GCP
Azure
AWS
Analytics
ETL/ELT
Apply
$197k – $316k per year • In office • Full-Time • 13+ years exp • Bachelor's Degree • Bellevue
Databases
Redis
ClickHouse
Apache Iceberg
Cassandra
Apache Kafka
Apache Pulsar
AI/ML
Copilot
Hadoop
Spark
ChatGPT
Flink
Ray
Machine Learning
DevOps
GCP
OpenTelemetry
Datadog
Prometheus
AWS
Grafana
SLI/SLO/SLA
Amazon Kinesis
Analytics
ETL/ELT
Apply
≈ $123k – $244k per year (Estimated) • In office • Full-Time • 10+ years exp • Singapore
AI/ML
Tokenization
Apply
$229k – $315k per year • In office • Full-Time • 15+ years exp • Bachelor's Degree • Foster City • Austin
AI/ML
Tokenization
Machine Learning
Apply
≈ $51k – $104k per year (Estimated) • In office • 12+ years exp • Bengaluru
Java
Java
Spring Boot
Hibernate
DevOps
CI/CD
Management
Agile
Apply
Tech Lead 1 day ago
≈ $32k – $85k per year (Estimated) • In office • 6+ years exp • Bengaluru
Go
JavaScript
TypeScript
Node JS
DevOps
Rest API
WebSockets
Apply
AI Engineer - III 1 day ago
≈ $21k – $51k per year (Estimated) • In office • 3+ years exp • Bengaluru
Python
AI/ML
Fine-tuning
Prompt Engineering
AI Agents
LLM
RAG
DevOps
GCP
Azure
AWS
Cybersecurity
HIPAA
Analytics
A/B Testing
Apply
Backend Engineer 1 day ago
In office • 3+ years exp • Bengaluru
Python
Go
JavaScript
Java
SQL
Node JS
DevOps
Terraform
GCP
Azure
AWS
Docker
Kubernetes
Linux
Apply
≈ $27k – $71k per year (Estimated) • In office • 2+ years exp • Bengaluru
AI/ML
Machine Learning
Apply
See all jobs
This is one of many
1,982,706 more open roles from verified company boards, updated every day.