Senior Software Engineer, Core Automation Platform

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Ashburn, VA
Salary
$110,700–$171,800 / yr
Posted
46 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $141k
$98k most similar roles pay here $232k

This role pays less than 83% of similar roles. Most pay $149,262–$219,131 — the shaded band above. At the midpoint, this role pays about $141k versus about $184k 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 93 open roles on FindRole.

Listed pay typically runs $149,200–$238,700 across 92 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Senior Software Engineer, Core Automation Platform

Role Posting Log in to save

As a Sr. Software Engineer - Core Automation Platform, you will join the Global Operations team to build intelligent, resilient, and future-ready operational capabilities for a high-throughput payment platform. You will design and build reusable Generative AI platforms, SDKs, and pipelines while developing production-ready applications using Python, FastAPI, Flask, Node.js, React, and TypeScript. Your daily work involves implementing agent frameworks like LangGraph or LangChain, managing AWS services such as Bedrock and SageMaker, and optimizing Retrieval-Augmented Generation architectures with vector databases like Pinecone or Weaviate. You will also manage event-driven architectures using Kafka, implement CI/CD pipelines via GitHub Actions or Jenkins, and utilize infrastructure-as-code tools like Terraform. This role focuses on solving complex technical challenges in automated incident detection, system reliability, and scalable observability within a highly regulated financial services environment.

What does a Software Engineer earn in Virginia?

Median $211200 from 266 postings across 15 companies.

See salary data

Skills

Generative AI Python FastAPI React TypeScript AWS LangChain LangGraph Haystack Kafka Terraform CloudFormation CI/CD Microservices RAG Vector Databases Node.js GraphQL

What you'll do

  • Build and scale reusable GenAI platforms, SDKs, pipelines, and shared frameworks for engineering teams.
  • Develop production-ready AI applications using Python, FastAPI, Flask, Node.js, React, and TypeScript.
  • Implement advanced AI architectures including RAG, LLM orchestration layers, and evaluation frameworks.
  • Build secure microservices, event-driven architectures, and API integrations using Kafka and other messaging technologies.
  • Deploy solutions on AWS using services like Bedrock, SageMaker, Lambda, and S3.
  • Manage infrastructure through CI/CD automation, containerization, and Infrastructure-as-Code tools like Terraform.
  • Design and optimize observability, monitoring, and recovery strategies for high-throughput systems.
  • Partner with cybersecurity teams to deliver secure, enterprise-grade AI solutions in production environments.

What we're looking for

  • A Bachelor's degree and 2+ years of relevant work experience, or 5+ years of relevant work experience.
  • A 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).
  • Proficiency with Generative AI frameworks such as LangGraph, LangChain, Haystack, or AWS Bedrock (preferred).
  • Backend development experience using Python, with FastAPI strongly preferred (preferred).
  • Frontend development experience 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 Actions, Jenkins, and Jira (preferred).

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