SW Engineer (6 months -2 years of experience - Golang, ClickHouse, Observab at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

0.0

Posted On

13 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Golang, ClickHouse, Observability, Logging, Log Pipeline, Metrics, Splunk, Prometheus, Kafka, LLM Models, Deep Learning, AI-ML Platforms, Microservices, REST, JSON, GIT

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. 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. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description Visa’s Technology Organization is a collaborative community of problem solvers and innovators dedicated to reshaping the future of commerce. We operate the world’s most sophisticated processing networks as the leader in digital payments, supporting up to 65,000 secure transactions per second across a global network of over 100 million merchant locations and nearly 15,000 financial institutions, empowering billions of cardholders worldwide. The Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a 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. You will get to see how your efforts shaping the digital future of fintech transactions and ensuring a reliability of 99.9999% and beyond. The Work itself: 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. Essential Functions: 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 standards. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelor’s Degree in Computer Science, or related technology-engineering discipline. Preferred Qualifications: 1-2 years of work experience with a Bachelor’s degree or Advanced Degree (e.g. Masters, MBA, JD, MD) in Computer Science, or related technology-engineering discipline. Exposure in developing agentic solutions using Cline, Claude, GitHub Copilot, Power Automate etc. Experience in Software Development with Agile and full SDLC using programming languages such as (e.g., Java, GO, Python, Scala, Java scripts, .Net) etc. Development experience in building and using Microservices with HTTP, REST, JSON. Experience with a Relational database and-or NoSQL database. Proficient in GIT-Stash, Maven and Jenkins. Exposure in streaming platform like Kafka. Exposure with tools development, automation (CI-CD, Auto Deployment, System Availability, etc.), logging and monitoring. Knowledge of large scale data analytics and statistical modelling. Strong analytical, problem solving and communication skills. The Skills You Bring: 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 anyone programing language (e.g., Java, C#, C++, GO, Python, Scala, Java scripts, .Net) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as coding with GenAI, new backend, front-end, test and devops technologies. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile-Scrum teams Additional Information 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. Job Family Group: Technology and Operations

Responsibilities

The role involves inventing, designing, building, and testing agentic solutions and software products using advanced LLM models and Deep Learning solutions to predict and prevent real-time reliability challenges at global scale. Engineers will design, code, and develop systems that influence scalability and security standards while collaborating cross-functionally to improve product reliability.