You have hands-on experience building AI-assisted features, LLM-powered workflows, or agentic systems (or strong practical exposure through prototypes and iterative delivery)
You can explain how you evaluate and operate these systems in production (quality metrics/evals, monitoring, rollout strategy, and failure modes)
You’re comfortable working in ambiguous problem spaces, breaking problems down to first principles, and delivering in small, validated iterations
Experience or knowledge with agentic architectures (tool use/function calling, workflow orchestration, retrieval/RAG, and human-in-the-loop patterns)
Experience or knowledge with AI/LLM evaluation approaches (golden sets, offline/online evals, experimentation, prompt/versioning discipline)
Amazon Web Services
HackerOne Values
HackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of security researchers. We are driven by our five core values. We recognise that our mission is bigger than us, and therefore, we act with integrity at all times. As a team, we believe that transparency builds trust, so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.
Responsibilities
Your first month will be spent getting to know our company and your fellow HackerOnies through our well-organised and fun onboarding process called H.A.T.C.H
You will set up your development environment, get a feel for our engineering processes, and embark on a journey to fully understand the domain you will be working with
By day 30, you will have met most of your fellow Engineering HackerOnies, paired with other Software Engineers, developed a strong understanding of our codebases and Security Management products, and be prepared to start hands-on coding
By day 60, you will be involved in building a meaningful part of one of the projects and will have become more connected with our community and various stakeholders
By day 90, you’ll have impressed your colleagues with your technical contributions and earned trust and credibility within your squad and the whole Engineering team by presenting your progress during our review/demo sessions
Work together with stakeholders, designers and product leaders to deliver outcomes tied to team goals and roadmap
Build, ship and maintain highly available, performant and durable features, focused on (but not limited to) hacker-facing areas of our platform
Drive predictable delivery by identifying and removing blockers, managing dependencies, and reducing rework through better planning and technical decision-making
Be a part of cross-squad initiatives and contribute to shared platform improvements that increase team throughput and quality
Mentor and be mentored by other engineers; help onboard and guide IC1s and IC2s
Contribute to CTEM and agentic work, including:
Building AI-assisted and agentic workflows where systems can reason, use tools, and collaborate with humans (with appropriate guardrails)
Using data and evaluation to guide iteration (quality metrics, feedback loops, experiments, and post-launch monitoring)
At first, a tech-savvy person who likes to work with people and teams
Willing to learn from Senior and Staff Software Engineers
Owner of your progress as an individual
You bring 5+ years of software development experience within a modern SaaS environment
You’re proficient in dynamically typed, OOP languages such as JavaScript, Python, Ruby or similar languages
You have 5+ years of practical SQL experience (PostgreSQL preferred).
You’ve worked extensively with cloud platforms (5+ years, with a preference for AWS) to enable scalable, automated infrastructure.
You have hands-on experience with ReactJS or similar modern front-end frameworks.
You’ve led end-to-end technical projects through all phases of the software development lifecycle, and are now looking to apply that experience toward building intelligent, automated, and AI-enhanced security products.
Benefits
₹30,64,000 – ₹34,47,000 • 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.
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