Software Engineer - Sr. Consultant level

Visa•Austin, TX

2h•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. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability 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 for a myriad of customers including end-user merchants, b2b, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities

Requirements

8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
8+ years of experience in software development with Java, Python and Docker/Kubernetes
Strong knowledge of object-oriented programming, frameworks and design patterns.
Ability to design and implement scalable, resilient and maintainable systems
Experience with CI/CD tools such as Jenkins, GitLab CI, or similar.
Experience with public and/or private cloud platforms
Experience with relational and NoSQL database systems
Knowledge of agile development methodologies.
Break down complex projects into manageable tasks, establish MVP scope and prioritize deliverables.
Ability to work effectively in a team-oriented environment, collaborate with cross-functional teams and manage stakeholder relationships
Demonstrated leadership capability, including ability to mentor and guide junior developers
Excellent problem-solving skills and attention to detail.
Strong written and verbal communication skills
A curious nature with a strong desire to learn and grow
Ability to learn from mistakes and apply lessons to future challenges.
Willingness to listen and learn from colleagues to foster a culture of continuous improvement.
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 one or more general development languages (e.g., Java, C#, C++)
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

Nice To Haves

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
8-10 or more years of work experience
Practical experience building GenAI‑powered backend services, such as retrieval‑augmented Generation (RAG), model inference pipelines, or AI‑driven recommendation/decision systems.
Experience integrating with LLM APIs (OpenAI, Anthropic, Google, or open‑source models).
Strong understanding of data engineering pipelines, streaming systems (Kafka, Kinesis), and feature stores.
Familiarity with fine‑tuning, prompt engineering, and evaluation frameworks for GenAI.

Responsibilities

Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization.
Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem.
Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed.
Plays a key role in the development and delivery of new features across products from end-to-end.

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