Staff SW Engineer
Visa · Bengaluru · 7+ yrs experience · Posted 2026-07-19
Tech stack: Azure, GraphQL, Java, Jenkins, Kafka, Linux, MySQL, Redis, SQL, Unix
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About the role
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.
Responsibilities:
- Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60–75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams – product managers, designers, data scientists, QA, operations, and compliance – to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.
- 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.
- Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.
- Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.
- Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.
- Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.
- Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.
- Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.
- Lead code reviews, ensuring adherence to coding standards and providing feedback to team members.
- Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact.
- Leverage data analysis and monitoring standards to identify patterns and defects in all environments.
- Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.
- Build, enhance, and identify new developer tools to support programs and applications.
- Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.
Qualifications:
- Education &
- 7.5+ years
- of relevant software engineering experience
- Bachelor's or Master's degree
- in Computer Science, Software Engineering, Distributed Systems, or related field
- Core Technical
- Java & Distributed Systems Expertise:
- Extensive technical experience with
- JAVA, Spring, Hibernate
- Advanced Java development
- including concurrency, multithreading, and performance optimization
- Deep understanding of
- distributed system architectures
- (microservices, event-driven, service mesh)
- Experience with
- distributed consensus algorithms
- (Raft, Paxos) and coordination services (Zookeeper, etcd)
- Proficiency in
- distributed data management
- patterns (CQRS, Event Sourcing, Saga patterns)
- Strong knowledge of
- distributed caching
- (Redis, Hazelcast, Memcached)
- Experience with
- message queues and streaming platforms
- (Kafka, RabbitMQ, Pulsar)
- Understanding of
- CAP theorem, eventual consistency, and distributed transaction management
- Experience building
- highly available, fault-tolerant systems
- with disaster recovery capabilities
- Knowledge of
- service discovery, load balancing, and circuit breaker patterns
- Proficiency in code development using
- Eclipse/MyEclipse, JetBrains IntelliJ
- or any major Java IDE
- Strong experience with
- GIT/Stash, Maven, and Jenkins
- API & Integration:
- Extensive experience in
- API Development
- using SOAP or REST, JSON and XML
- Deep knowledge of API standards including
- OAuth, SAML
- Experience with
- GraphQL, gRPC, and modern API gateway patterns
- Understanding of
- API versioning, rate limiting, and distributed API management
- Experience building
- async/reactive APIs
- using Spring WebFlux or similar frameworks
- Data & Infrastructure:
- Experience with
- SQL datastores
- (DB2/MySQL) and
- Unix/Linux platforms
- Understanding of
- database sharding, replication, and distributed database systems
- Experience with
- distributed file systems
- (HDFS, S3, or similar)
- Knowledge of
- data consistency patterns
- across distributed datastores
- Proven experience with
- tools development, automation
- (CI/CD, Auto Deployment, System Availability), logging and monitoring
- Experience with
- distributed tracing
- (Jaeger, Zipkin, OpenTelemetry)
- Working knowledge of
- streaming platforms like Kafka
- for real-time data processing
- AI-First Engineering
- Hands-on experience with
- LLM integration
- and serving at scale (OpenAI API, Azure OpenAI, Claude, Llama, etc.)
- Proficiency in
- AI-assisted development
- tools (GitHub Copilot, Cursor, Cline, or similar)
- Experience building
- intelligent APIs
- with AI/ML inference endpoints in distributed environments
- Understanding of
- vector databases
- (Pinecone, Weaviate, ChromaDB) for RAG applications
- Knowledge of
- prompt engineering
- and AI model fine-tuning
- Distributed Systems Design:
- Experience designing
- scalable microservices architectures
- handling millions of transactions
- Knowledge of
- distributed system monitoring
- and observability (Prometheus, Grafana, ELK stack)
- Understanding of
- container orchestration
- in distributed environments
- Experience with
- chaos engineering
- and resilience testing
- Proficiency in
- distributed debugging
- and troubleshooting techniques
- Professional Capabilities
- Ability to write
- clean, coherent code
- following established coding guidelines
- Strong interpersonal and effective communication skills
- (both written and verbal)
- Highly driven, resourceful, and results-oriented
- Experience leveraging AI tools to
- accelerate development velocity
- and code quality
- Ability to design and communicate
- distributed system architectures
- effectively
Qualifications
- Education & 7.5+ years of relevant software engineering experience
- Bachelor's or Master's degree in Computer Science, Software Engineering, Distributed Systems, or related field
- Java & Distributed Systems Expertise:
- Extensive technical experience with JAVA, Spring, Hibernate
- Advanced Java development including concurrency, multithreading, and performance optimization
- Deep understanding of distributed system architectures
- (microservices, event-driven, service mesh)
- Experience with distributed consensus algorithms
- (Raft, Paxos) and coordination services (Zookeeper, etcd)
- Proficiency in distributed data management patterns (CQRS, Event Sourcing, Saga patterns)
- Strong knowledge of distributed caching
- (Redis, Hazelcast, Memcached)
- Experience with message queues and streaming platforms
- (Kafka, RabbitMQ, Pulsar)
- Understanding of CAP theorem, eventual consistency, and distributed transaction management
- Experience building highly available, fault-tolerant systems with disaster recovery capabilities
- Knowledge of service discovery, load balancing, and circuit breaker patterns
- Proficiency in code development using Eclipse/MyEclipse, JetBrains IntelliJ or any major Java IDE
- Strong experience with GIT/Stash, Maven, and Jenkins
- API & Integration:
- Extensive experience in API Development using SOAP or REST, JSON and XML
- Deep knowledge of API standards including OAuth, SAML
- Experience with GraphQL, gRPC, and modern API gateway patterns
- Understanding of API versioning, rate limiting, and distributed API management
- Experience building async/reactive APIs using Spring WebFlux or similar frameworks
- Data & Infrastructure:
- Experience with SQL datastores (DB2/MySQL) and Unix/Linux platforms
- Understanding of database sharding, replication, and distributed database systems
- Experience with distributed file systems
- (HDFS, S3, or similar)
- Knowledge of data consistency patterns across distributed datastores
- Proven experience with tools development, automation
- (CI/CD, Auto Deployment, System Availability), logging and monitoring Experience with distributed tracing
- (Jaeger, Zipkin, OpenTelemetry)
- Working knowledge of streaming platforms like Kafka for real-time data processing AI-First Engineering
- Hands-on experience with LLM integration and serving at scale (OpenAI API, Azure OpenAI, Claude, Llama, etc.)
- Proficiency in AI-assisted development tools (GitHub Copilot, Cursor, Cline, or similar)
- Experience building intelligent APIs with AI/ML inference endpoints in distributed environments
- Understanding of vector databases
- (Pinecone, Weaviate, ChromaDB) for RAG applications Knowledge of prompt engineering and AI model fine-tuning
- Distributed Systems Design:
- Experience designing scalable microservices architectures handling millions of transactions
- Knowledge of distributed system monitoring and observability (Prometheus, Grafana, ELK stack)
- Understanding of container orchestration in distributed environments
- Experience with chaos engineering and resilience testing
- Proficiency in distributed debugging and troubleshooting techniques Professional Capabilities
- Ability to write clean, coherent code following established coding guidelines
- Strong interpersonal and effective communication skills
- (both written and verbal)
- Highly driven, resourceful, and results-oriented
- Experience leveraging AI tools to accelerate development velocity and code quality
- Ability to design and communicate distributed system architectures effectively
Responsibilities
- Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems.
- In this role, engineers spend approximately 60–75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector.
- They collaborate with cross-functional teams – product managers, designers, data scientists, QA, operations, and compliance – to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.
- 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.
- Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.
- Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.
- Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.
- Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.
- Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.
- Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.
- Lead code reviews, ensuring adherence to coding standards and providing feedback to team members.
- Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact.
- Leverage data analysis and monitoring standards to identify patterns and defects in all environments.
- Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.
- Build, enhance, and identify new developer tools to support programs and applications.
- Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.