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Entry LevelFull-timeAgileGitAIML
Salary Range
$10,200 - $13,800 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As an Associate Software Engineer at Product Reliability Engineering team, you will be an integral part of a multi-functional full stack engineering team inventing, designing, building, and testing agentic solutions and software products that will operate at global scale to predict and prevent real time reliability challenges in a rapidly evolving technology environment at Visa’s scale.
Key Responsibilities
- →Build Agentic Solutions using world’s most advanced LLM models from Anthropic, OpenAI and others
- →Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data
- →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 Visa’s commercial products and services
- →Actively contributes to product reliability improvements, valuable service technology, and new operations flows in diverse agile squads
- →Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments
Requirements
- ✓Demonstrates in-depth technical proficiency to accurately interpret and address project 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
- ✓Collaborates with others to support the piloting of new technology capabilities and features that enhance the customer experience across commercial products
- ✓Supports ongoing innovation by developing scalable, maintainable, and efficient systems aligned with organizational objectives and global technology
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