Senior Software Engineer - Java, APIs, Microservices, Angular/React, Bigdata, GenAI

Bot Jobs; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Bot Jobs is seeking a Senior Software Engineer to join our high‑performance Payment Product engineering team. You will design, develop, and deploy scalable full‑stack applications enhanced with Generative AI capabilities, collaborating with PMs, DevOps, and fellow engineers in an agile environment.

You will work with LLM frameworks, orchestration tools, and AI-assisted delivery to improve customer experience and operational efficiency while maintaining production reliability and code quality.

Qualifications

• 3–6 years of hands-on software engineering with enterprise Java apps.
• Experience with Spring Boot, REST, microservices, and modern front-end (Angular/React).
• Experience with AI-assisted software delivery and productivity tools.
• Strong CI/CD, testing, and code quality practices.
• Agile delivery experience with ownership of stories and delivery.
• Experience in finance/payments domain is a plus.

Responsibilities

• Design, develop, and deploy scalable full‑stack apps with GenAI capabilities.
• Integrate AI components and agents with APIs and data sources.
• Develop GenAI workflows like retrieval pipelines and RAG systems.
• Ensure code quality, testing, and production readiness.
• Collaborate with Product, DevOps, and peer engineers.
• Contribute to technical design discussions and documentation.

Skills

Java

Spring Boot

RESTful APIs

Microservices

Angular/React

CI/CD

Agile

AI-assisted dev tools

Prompt engineering

Distributed systems

Education

Bachelor's degree in CS or related

Advanced degree (Masters, MBA, etc.)

Tools

Git

Jenkins

Kubernetes

Big Data / Kafka

LLM frameworks

Job description

Role overview

The Senior Software Engineer would be a part of a high-performance Payment Product engineering team responsible for the delivery of features in the Resolve Online program. We are seeking an Sr. Software Engineer to join the PPD Engineering team. You will contribute to the development of next-generation AI solutions that transform Payments Products through Generative AI, Machine Learning, Conversational AI, Intelligent Document Processing, and Developer Productivity tools. This role is ideal for engineers who are passionate about AI technologies and eager to work on enterprise-scale solutions that directly impact customer experience and operational efficiency. Every engineer in this team will work in close collaboration with Generative AI tools as development companions, leveraging Visaâs extensive portfolio of AI models, tools, and experimentation platforms. As a key member of the delivery execution team, you will be responsible to design, develop, and deploy scalable full stack applications enhanced with modern Generative AI capabilities. This role requires strong full stack engineering expertise along with deep, handsâon experience in LLM frameworks, orchestration tools, prompt engineering, and agent-based architectures to improve the effectiveness and efficiency.

Key Responsibilities

• Work independently on defined problems and features
• Apply established architectural patterns with good technical judgment
• Take ownership of code quality, testing, and production reliability
• Integrate AI components and agents with internal/external APIs, business systems, and data sources.
• Develop GenAI workflows such as retrieval pipelines, RAG systems, orchestration graphs, and agent-based architectures.
• Stay current with emerging technologies, conduct Proofs of Concept (POCs), and independently drive solution delivery in an agile environment.
• You are expected to deliver consistently, contribute to improving the codebase and systems you work on, and operate with a productionâfirst mindset.
• Translate functional requirements into clean, efficient, and maintainable code.
• Contribute to design discussions and document implementation decisions where appropriate.
• Write highâquality, readable, and testable code aligned with defined engineering standards.
• Develop and maintain automated unit and component tests.
• Identify and address defects, performance issues, and reliability gaps in owned areas.
• Participate in production releases and operational readiness activities.
• Work closely with Product Managers, DevOps, and peer engineers.
• Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

• 2+ years of relevant work experience and a Bachelors degree, OR 3+ years of relevant work experience

Preferred Qualifications

• 3-6 years of work experience with a Bachelorâs Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• 3â6 years of hands-on software engineering experience building, delivering, and supporting enterprise-grade Java applications, preferably using Spring Boot, RESTful APIs, microservices, and modern front-end frameworks such as Angular or React. Exposure to Big Data, Hadoop & Kafka is needed.
• Experience in technologies/software systems or a directly related field (minimum two years).
• Experience in developing and/or implementing web-based or mobile applications (minimum two years).
• Experience in system design and architecture for product components.
• Experience in debugging and troubleshooting software issues.
• Experience in code review and applying coding standards.
• Experience in test planning and execution for software features.
• Experience in responding to support requests and deploying fixes.
• Experience in using software developer tools for code creation and maintenance.
• Hands-on experience with AI-assisted software delivery, including effective use of generative AI coding assistants and developer productivity tools such as Claude Code CLI, GitHub Copilot, Cline, prompt engineering, AI-supported code review, test generation, documentation, and productivity workflows.
• Working knowledge of applied AI concepts relevant to software engineering, such as large language models, embeddings, retrieval-augmented generation, agentic workflows, data privacy, and responsible AI practices.
• Strong foundation in software engineering principles, clean code practices, object-oriented design, data structures, algorithms, distributed systems, and scalable application architecture.
• Strong experience with CI/CD pipelines, automated unit, integration, component, and regression testing, code quality gates, version control, and release automation.
• Experience working in Agile delivery teams with strong ownership of stories, design decisions, engineering quality, production support, and continuous improvement.
• Strong analytical, problem-solving, and debugging skills with the ability to troubleshoot complex issues across application, integration, data, infrastructure, and AI-assisted delivery workflows.
• Excellent communication skills with the ability to explain technical decisions clearly, collaborate across Product, Architecture, DevOps, QA, and Security teams, and document designs and trade-offs concisely.
• Experience in financial services, payments, dispute processing, or other high-volume, mission-critical enterprise platforms is a strong plus.

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.