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    Home/Jobs/Senior Software Engineer, Platform

    Senior Software Engineer, Platform

    HackerOne

    Seattle / Wa / Austin / Boston / Laayoune / Washington / TX
    5+ years
    Today
    ₹182–222 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    LangChain
    AWS
    GCP
    Azure
    Distributed systems
    AI
    Machine Learning
    MLOps
    Ruby on Rails
    GraphQL
    React

    Description

    HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). We are looking for a Senior Software Engineer to contribute to the development of our next-generation AI security capabilities.

    Company: HackerOne

    Role: Senior Software Engineer, Platform

    Location: Seattle; Austin; Boston; Washington DC (Hybrid, 1 day onsite per week)

    Experience:

    • 5+ years of experience as a software engineer
    • Experience working with cloud services like AWS, GCP or Azure
    • Experience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications

    Key Skills:

    • cloud services (AWS, GCP, Azure)
    • distributed systems
    • AI/ML systems
    • LLMs or generative AI models
    • model deployment workflows
    • MLOps concepts
    • AI safety considerations

    Qualification:

    • Understanding of responsible AI development and basic AI safety considerations

    Role Focus:

    • Contribute to the evolution of the cloud-based execution platform for the AI security agent Hai
    • Design and implement core components for end-to-end execution of security agents
    • Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise
    • Collaborate cross-functionally with Product, Security Research, and Customer Success
    • Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems
    • Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance

    Nice to have:

    • Experience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)
    • Experience with Agentic AI Ops, ML Ops
    • Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel
    • Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React

    Other:

    • Compensation: $182K – $222K + Equity
    • Health, life, and disability insurance
    • Equity stock options
    • Retirement plans
    • Paid public holidays and unlimited PTO
    • Paid maternity and parental leave
    • Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
    • Employee Assistance Program

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

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