Senior Software Engineer, GenAI Copilot, Digital Experience
Pure StorageSanta Clara, California
Full Time
Posted November 20, 2025
$175k - $263k
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Job Description
A Senior Software Engineer at Pure Storage will design, develop, and scale AI-powered features and data pipelines for their GenAI Copilot platform, working at the intersection of large language models, enterprise infrastructure, and AI technologies to create secure, reliable, and high-performing AI solutions.
Key Responsibilities
- Design, implement, and scale Agentic AI features for the GenAI Copilot product
- Build data pipelines to ingest and process large volumes of data securely and efficiently
- Develop secure, reliable, and high-performing GenAI services using Python, gRPC, Kubernetes, LangChain, and LangGraph
- Integrate and optimize LLMs, RAG pipelines, embeddings, and vector stores to enhance product capabilities
- Collaborate with engineering, product, and design teams to create AI features that integrate with client applications
- Monitor system health, reliability, and scalability using observability tools like Datadog
- Stay updated with emerging AI technologies and apply them to improve the Copilot platform
Requirements
- Five (5) years of software engineering experience with a strong focus on backend or distributed systems.
- Proficiency in Python programming language.
- Familiarity with microservices architecture and APIs including gRPC and REST.
- Strong understanding of software engineering fundamentals, including data structures and algorithms, coding best practices, unit testing, and integration testing.
- Experience with CI/CD pipelines, logging, metrics, observability, horizontal scaling, distributed systems, production monitoring, and reliability engineering.
- Experience deploying and scaling services in Kubernetes or other container orchestration platforms.
- Hands-on experience with large language models (LLMs), LangChain, LangGraph, Retrieval-Augmented Generation (RAG) architectures, or related frameworks.
- Strong knowledge of NoSQL databases such as Elasticsearch, DynamoDB, and data pipeline development.
- Good understanding of all aspects of a GenAI system, including prompt engineering, guardrails and safety mechanisms, LLM benchmarking and deployment options, output evaluation, and continuous improvements.
- A passion for building secure, reliable, production-grade AI systems.
- Ability and willingness to work in an in-office environment at the Santa Clara office in accordance with company policies.
Benefits & Perks
Annual base salary range of 175,000 - 263,000 USD
Potential eligibility for incentive pay and/or equity
Work from the Santa Clara office in an in-office environment
Flexible time off
Wellness resources
Company-sponsored team events
Accommodations for candidates with disabilities
Support for growth and development
Recognition as a Fortune's Best Large Workplace and Great Place to Work
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