Senior Software Engineer

Visa•Austin, TX

4d•Hybrid

About The Position

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Design, build, and operate production-grade AI agents and orchestration workflows. Own end-to-end agent lifecycle: discovery, routing, execution, streaming responses, compliance, deployment and enterprise CI/CD pipelines. Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended. Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities

Requirements

2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Demonstrates relevant technical working knowledge to understand requirements.
Identifies and contributes to the development and solution strategies to team members that improve the design and functionality of interface features across one or more project features, under minimal guidance.
Demonstrated ability to work closely with product managers, data scientists, platform engineers, and DevOps teams to deliver end‑to‑end solutions.
Experience mentoring junior engineers, contributing to code reviews, and participating in technical design discussions.
Ability to influence team‑level technical decisions, promote best practices, and contribute to architectural direction within the group.
Strong proficiency in Python for application and AI/ML development (required)
Experience working within strong engineering practices, including coding standards, automated testing, CI/CD, secure coding, and documentation.
Background in building scalable, secure, and resilient enterprise applications with attention to performance and reliability.
Collaborates with others to support the piloting of new technology capabilities and features that enhance the user website experience across e-commerce products.
Analyzes bugs for simple issues and applies debugging tools to verify assumptions.

Nice To Haves

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Education BS/MS in Computer Science, Software Engineer, Data Science or equivalent experience.
3–4 years of hands‑on product development experience, including coding, unit testing, CI/CD, deployments, and production support.
2–3 years working in Agile/Scrum environments, participating in sprint planning, backlog refinement, and retrospectives.
Experience with LangChain or similar LLM/agent orchestration frameworks.
Familiarity with vector databases such as Pinecone, Chroma, Redis Vector, or Weaviate.
Exposure to responsible AI principles, ML governance, or AI safety considerations.
Familiarity with telemetry and observability tools like AppInsights, Prometheus, or Grafana.
Experience creating proofs‑of‑concept (POCs) and maturing them into production‑grade systems.
Prior experience as a Senior Engineer or strong mid‑level engineer owning components or features end‑to‑end.
Solid foundation in system design and architecture, including microservices, distributed systems, cloud‑native patterns, and REST APIs.
Experience delivering features from design through production, collaborating with cross‑functional partners and supporting releases.
Hands‑on experience contributing to AI/ML or Generative AI projects as part of product development.
Practical exposure to LLMs (OpenAI, Azure OpenAI, Anthropic, Llama) including embedding usage, RAG patterns, and model integration into applications.
Experience with prompt engineering and vector databases, with familiarity in grounding, retrieval flows, or knowledge‑base integrations.
Ability to apply GenAI techniques to real product use cases such as summarization, classification, chat interfaces, automation agents, or content generation.
Experience with modern cloud platforms, preferably Azure (e.g., Azure OpenAI, Functions, AKS, Storage, Cosmos DB, App Services).
Experience implementing distributed services, REST/Microservices APIs, and event‑driven or streaming architectures.
Familiarity with DevOps and infrastructure tooling, including Docker, Kubernetes, IaC, and cloud‑based CI/CD pipelines.
Experience with modern frontend technologies (React, TypeScript, or similar) is a plus, especially for building UI flows that leverage GenAI capabilities.
Systems thinking: orchestrating agents, workflows, and runtime state.
Resilience engineering: graceful degradation, cancellations, retries.
Security mindset: secrets, tokens, least-privilege containers.
Performance: efficient streaming & low-latency prompt chains.
Communication: clear design artifacts and cross-team alignment.
Continuous improvement: code quality, automation, test coverage.
Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions
Language Expertise: Expertise in Python for application and AI/ML development.
Builder: Experience building and deploying modern services and web applications with quality and scalability
Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.
Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams

Responsibilities

Design, build, and operate production-grade AI agents and orchestration workflows.
Own end-to-end agent lifecycle: discovery, routing, execution, streaming responses, compliance, deployment and enterprise CI/CD pipelines.
Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
Develop robust and scalable products intended.
Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities
Demonstrates relevant technical working knowledge to understand requirements.
Identifies and contributes to the development and solution strategies to team members that improve the design and functionality of interface features across one or more project features, under minimal guidance.
Demonstrated ability to work closely with product managers, data scientists, platform engineers, and DevOps teams to deliver end‑to‑end solutions.
Experience mentoring junior engineers, contributing to code reviews, and participating in technical design discussions.
Ability to influence team‑level technical decisions, promote best practices, and contribute to architectural direction within the group.
Strong proficiency in Python for application and AI/ML development (required)
Experience working within strong engineering practices, including coding standards, automated testing, CI/CD, secure coding, and documentation.
Background in building scalable, secure, and resilient enterprise applications with attention to performance and reliability.
Collaborates with others to support the piloting of new technology capabilities and features that enhance the user website experience across e-commerce products.
Analyzes bugs for simple issues and applies debugging tools to verify assumptions.