Sr. Software Engineer - Core Automation Platform

What you will do

• Help shape AI-driven operations for a global payment platform.
• Build and scale automation, observability, and operational solutions for highly integrated, high-throughput systems.
• Use GenAI and AIOps to improve incident detection, response, and system reliability.
• Collaborate with world-class engineers to tackle complex technical challenges at global scale.
• Support a culture of innovation, continuous learning, blameless postmortems, and proactive problem solving.
• Design and build reusable GenAI platforms, SDKs, pipelines, and shared frameworks that accelerate AI adoption across engineering teams.
• Develop solutions using agent frameworks such as LangGraph, LangChain, Haystack, or similar technologies.
• Implement modern AI architectures using AWS services including Bedrock, SageMaker, embeddings, vector databases, and agentic workflows.
• Design and optimize Retrieval-Augmented Generation (RAG) architectures, LLM orchestration layers, evaluation frameworks, and LLMOps processes.
• Develop production-ready AI applications using Python, FastAPI, Flask, Node.js, Kafka; and frontend development with React and TypeScript with REST/GraphQL integrations.
• Build secure APIs, microservices, event-driven architectures, and enterprise integrations.
• Create intuitive, scalable user experiences for AI-powered products and platforms.
• Implement CI/CD automation using tools such as GitHub Actions, Jenkins, Bitbucket, Jira, ServiceNow, and Artifactory.
• Apply containerization, automated testing, infrastructure-as-code (Terraform, CloudFormation), and deployment best practices.
• Ensure robust monitoring, logging, observability, and recovery strategies are built into every solution.
• Partner with cybersecurity teams to deliver secure, enterprise-grade AI solutions in production.

Requirements

• 2+ years of relevant work experience and a Bachelor’s degree, OR 5+ years of relevant work experience.
• 2-5 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).
• Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, or related field.
• Experience in Agile development environments, including SAFe and globally distributed teams.
• Generative AI frameworks and tools such as LangGraph, LangChain, Haystack, AWS Bedrock, or similar platforms.
• Backend development experience with Python (FastAPI strongly preferred).
• Frontend experience with React and TypeScript.
• Experience with event-driven architectures and messaging technologies such as Kafka, MQ, or SQS.
• Vector database and retrieval experience such as FAISS, Pinecone, Weaviate, OpenSearch, or similar solutions.
• CI/CD automation and developer platforms including GitHub, Bitbucket, Jira, Jenkins, ServiceNow, and related tooling.
• Experience with distributed systems, microservices architecture, and API design.
• RAG implementations at scale using cloud-based or enterprise vector stores.
• AWS experience including Lambda, ECS/EKS, S3, API Gateway, Bedrock, and SageMaker.
• Experience developing reusable platforms, frameworks, or developer tools that accelerate adoption across engineering teams.
• Experience in payments, financial services, risk management, fraud analytics, or other highly regulated industries.

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program

Work model and logistics

• Location: Ashburn, VA (hybrid)
• Office expectation: Visa requires at least 3 days in office; expectations for these days will be confirmed by your Hiring Manager.
• Work hours: Varies upon the needs of the department.
• Travel: 5-10% of the time.

Physical/mental requirements

• Performed in an office setting.
• Incumbent will sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment such as telephones and computers.

EEO statement

• Visa is an EEO employer and provides consideration without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
• Visa also considers qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.