Senior Software Engineer, Core Automation Platform

Visa

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Ashburn, VA
Salary: $110,700–$171,800 / yr
Employment: Full-time
Posted: 41 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k

This role $141k

$98k $225k

below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $151,000–$205,350 — the blue band above. At the midpoint, this role pays about $141k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 114 open roles on FindRole.

Listed pay typically runs $155,850–$251,100 across 110 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Senior Software Engineer, Core Automation Platform

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The Sr. Software Engineer - Core Automation Platform joins the Global Operations team to build intelligent, resilient operational capabilities for a large-scale payment platform. You will design and build reusable Generative AI platforms, SDKs, and pipelines to accelerate AI adoption across engineering teams. Daily responsibilities include developing production-ready AI applications, optimizing Retrieval-Augmented Generation architectures, and implementing LLM orchestration layers. You will utilize technologies including Python, FastAPI, Flask, Node.js, Kafka, React, and TypeScript. The role requires expertise in AWS services like Bedrock and SageMaker, as well as agent frameworks like LangGraph, LangChain, and Haystack. You will also manage CI/CD automation using GitHub Actions, Jenkins, and Terraform while solving complex technical challenges related to incident detection, system reliability, and high-throughput distributed systems.

What does a Software Engineer earn in Virginia?

Median $165000 from 117 postings across 22 companies.

See salary data

Skills

Generative AI Python AWS FastAPI React TypeScript LangChain LangGraph Haystack Kafka Vector Databases RAG Terraform CI/CD Node.js Flask GraphQL REST SageMaker Bedrock Jenkins GitHub Actions Bitbucket Jira ServiceNow Artifactory CloudFormation Kinesis OpenSearch Pinecone FAISS

What you'll do

Design and build reusable GenAI platforms, SDKs, pipelines, and shared frameworks to accelerate AI adoption.
Develop production-ready AI applications using Python, FastAPI, Node.js, React, and TypeScript.
Implement modern AI architectures using AWS services like Bedrock, SageMaker, and vector databases.
Design and optimize Retrieval-Augmented Generation (RAG) architectures and LLM orchestration layers.
Build secure APIs, microservices, and event-driven architectures using Kafka.
Implement CI/CD automation using tools like GitHub Actions, Jenkins, and Terraform.
Ensure robust monitoring, logging, and observability are integrated into every solution.
Partner with cybersecurity teams to deliver secure, enterprise-grade AI solutions in production.

What we're looking for

Must have 2+ years of relevant work experience and a Bachelor's degree, or 5+ years of relevant work experience.
Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, or a related field (preferred).
Experience working within Agile development environments, including SAFe and globally distributed teams (preferred).
Experience with Generative AI frameworks and tools such as LangGraph, LangChain, Haystack, or AWS Bedrock (preferred).
Proficiency in backend development using Python, with FastAPI strongly preferred (preferred).
Proficiency in frontend development using React and TypeScript (preferred).
Experience with event-driven architectures, messaging technologies like Kafka, and vector databases (preferred).
Experience with CI/CD automation tools including GitHub, Bitbucket, Jira, Jenkins, and ServiceNow (preferred).

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