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Software Engineering Software Engineer - OpenRAG FullStack Professional San Jose

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: IBM
Full Time position
Listed on 2026-01-02
Job specializations:
  • Software Development
    Cloud Engineer - Software, AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineering Software Engineer - OpenRAG FullStack Professional San Jose, US

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.

Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrives.

Your role and responsibilities

Data Stax,an IBM company, has roots in several open source projects such as Apache Cassandra, Open Search, Apache Pulsar and Langflow. Astra DBis a wildly successful cloud‑native database as a service (DBaaS) powered by Apache Cassandra. We are now working on a no‑code/low‑code platform AI development based on Open Search and Langflow to enable customers to build comprehensive GenAI applications to meet their mission critical needs.

We're looking for a software engineer to join our AI Cloud Platform Engineering team. Our team owns the foundational infrastructure and services that enable customers to launch and manage the full lifecycle of their AI platform services.

What you will do:

  • Develop and own high-quality code across all levels of the stack - UI, backend to frontend, microservices - from investigation to implementation to testing to release
  • Model solid engineering practices around architectural design, testability, scalability and maintainability
  • Work with modern technologies and frameworks such as Python, React, Node.js, Java, Docker, and Kubernetes
  • Design, develop, and maintain a wide variety of software and cloud infrastructure for AI Platform services..
  • Participate in on‑call activities, acting as a secondary on‑call support person for Production Engineering teams who require assistance with complex production issues.
  • Define and implement the best practices that bring AI capabilities to customers with high uptime, high throughput, low latency at optimal cost.
  • Enjoys a highly diverse, collaborative, and cross‑functional environment
  • Fosters long‑term team success and contributes to a healthy work environment.
Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise
  • 9 + years of relevant experience
  • Deep understanding of system design, data structures.
  • 3-5+ years of development experience with programming languages such as Go/Python/Java (preferably Python and React Node.js)
  • Proven record of development up and down the stack
  • Experience with containers and docker orchestration.
  • Experience with (RESTful APIs) microservices and associated patterns including dependency injection.
  • Experience with multi‑threaded programming and concurrency primitives.
  • Knowledge of distributed data stores (No

    SQL systems) to achieve massive scalability and availability of the data made available by your data pipelines.
  • Experience in SDLC having contributed at each step:
    Plan, Track, Code, Build, Test, Deploy and Monitor.
  • Familiarity with any public cloud providers ( AWS, GCP , Azure ) on cloud network concepts such as ingress, security, networking, object storage and disk storage, CI/CD, Blue/Green deployments
Preferred technical and professional experience
  • Experience with Open Search or Elastic Search
ABOUT BUSINESS UNIT

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it.

In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune…

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