HackerOne - Senior Software Engineer
Requirements
• 8+ years of professional software engineering experience in modern SaaS environments. • 8+ years of professional software engineering experience • Hands-on experience building production AI-assisted features, LLM-powered workflows, or agentic systems at scale. You have taken at least one non-trivial LLM or agent system from prototype to production and operated it. • building production AI-assisted features, LLM-powered workflows • Strong working knowledge of agentic architectures, including tool use and function calling, workflow orchestration, retrieval and RAG, and human-in-the-loop patterns. • knowledge of agentic architectures • Strong working knowledge of LLM evaluation and experimentation, including golden sets, offline and online evals, regression detection, and prompt and version discipline. • Strong proficiency in at least one dynamically typed, object-oriented programming language such as Ruby, JavaScript, or Python, and experience building scalable backend systems. • object-oriented programming language • Experience with relational databases (e.g., PostgreSQL) and cloud platforms (e.g., AWS) to design and operate distributed systems. • Proven experience delivering end-to-end technical projects, including defining scope, managing trade-offs, and driving execution in collaboration with cross-functional partners. • Able to explain how you evaluate and operate AI systems in production, covering quality metrics, evals, rollout strategy, observability, and failure modes. • Experience with vector stores, embeddings, hybrid retrieval, and building observability for LLM and agent systems, such as tracing, cost and latency dashboards, and reasoning logs. • Experience implementing evaluation and experimentation frameworks at team or org scale, including feedback loops that close onto product and model improvements. • Experience improving engineering practices, workflows, or system design through reusable patterns or shared solutions, particularly for AI engineering. • Amazon Web Services • Exposure to security domains such as vulnerability management, application security, or threat intelligence.
Responsibilities
• Success in this role will be accomplished by delivering on the responsibilities below in alignment with HackerOne's Talent Principles: • Lead production AI delivery by designing and shipping agentic workflows that integrate tool use, orchestration, retrieval, and human-in-the-loop patterns. Own these systems end-to-end, from architecture to rollout to post-launch operations. • Lead production AI delivery • Set the bar for AI engineering quality by defining and implementing evaluation frameworks, including golden sets, offline and online evals, experimentation pipelines, and prompt and version discipline. Embed these practices across squads. • Set the bar for AI engineering quality • Adopt an AI-first approach by designing workflows that incorporate LLMs, tooling, retrieval, and human-in-the-loop patterns to improve product outcomes and engineering velocity across the team. • Adopt an AI-first approach • Practice Data-Driven Decision Making by defining success metrics, quality and latency trade-offs, and using data to guide experimentation and continuous improvement in AI systems. • Practice Data-Driven Decision Making • Demonstrate Change Agility by adapting quickly to shifts in model capabilities, AI tooling, and priorities. Re-scope work effectively and keep cross-functional stakeholders aligned through change. • Demonstrate Change Agility • Lead execution of complex, cross-functional projects that bring AI capabilities into core product features, spanning backend, frontend, and platform layers. • Lead execution of complex, cross-functional projects • Design, build, and maintain highly available, performant, and durable features across the platform, contributing to both AI product innovation and system reliability. • Design, build, and maintain • Collaborate across engineering, product, and design to align on priorities, clarify requirements, and deliver solutions that drive measurable customer impact. • Collaborate • Identify and address technical debt and system inefficiencies in AI and non-AI code paths, improving code quality, scalability, and developer experience within your team and across shared systems. • Identify and address technical debt and system inefficiencies • Mentor and grow engineers, especially on applied AI patterns, evaluation discipline, and production readiness for LLM-based systems. Contribute to a culture of learning and continuous improvement. • Mentor and grow engineers
Benefits
• ₹37L – ₹48L • Offers Equity • HackerOne Pay Transparency • HackerOne defaults to disclosure in its pay transparency approach. All jobs are posted with the target hiring range, which is a subset of the full pay range for that role. We expect offers to be made within the target hiring range based on the selected candidate’s alignment to functional requirements for the role and our Talent and Leadership Principles. • Our U.S. compensation structure is based on the cost of labor by hub location. Candidates are assigned to a pay tier based on the hub they are aligned to. • Tier Locations • If you meet the criteria of the job requirements, we encourage you to apply. Our Talent Acquisition team can answer any salary-related questions you may have during the process. • HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). • HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations. • HackerOne Values • HackerOne Values • HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. • Customer Obsessed • Default to Disclosure • Win Together • Location : Pune • Working model : On-site / in office • Shift : UK shift • We have multiple roles open and would like to have interviews in predefined schedule. • Recruiter Screen • Technical interview (coding) : dates July 6th to July 10th) • System Design + Managerial Interview : dates July 8th to July 16th • 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.
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