Senior Software Engineer, Platform

Success in this role will be accomplished by delivering the responsibilities below in alignment with HackerOne’s Talent Principles: AI-First, Change Agility, Data-Driven Decision Making, and First Principles Problem Solving.

Contribute to the evolution of the cloud-based execution platform for the AI security agent Hai, implementing features that enable natural language-driven security insights, improved reasoning, and secure action workflows.

Design and implement core components for end-to-end execution of security agents, including agent execution frameworks, memory services, RAG services, and observability systems.

Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise to significantly improve productivity across coding, design documentation, on-call response, and customer escalation handling.

Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.

Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility.

Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making.

Break down complex distributed systems and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.

5+ years of experience as a software engineer

Must be able and willing to come to the office once per week (typically Thursdays).

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

Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts

Understanding of responsible AI development and basic AI safety considerations

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—especially for integrating AI capabilities into existing systems

Compensation Bands:

$182K – $222K • Offers Equity

#LI-Remote

#LI-HM1

Health (medical, vision, dental), 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

Eligibility may differ by country

We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Visa/work permit sponsorship is not available.

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.