Bugcrowd

Data Scientist

• Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
• Integrate Generative AI models with internal APIs and security datasets to automate and augment workflows.
• Build and fine-tune ML models for vulnerability prediction, triage prioritization, and exploit pattern detection.
• Develop evaluation pipelines and feedback loops to continuously improve AI model performance and explainability.
• Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
• Build secure data ingestion, transformation, and storage workflows leveraging AWS and modern MLOps practices.
• Develop robust CI/CD pipelines for data and ML model deployment.
• Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.

Senior Data Scientist

Product Manager

• Own the roadmap for platform scalability
• Drive the strategy for enterprise-grade features
• Own the development and planning process for APIs
• Partner with Engineering and Security leaders for compliance
• Communicate vision to inspire cross-functional teams
• Define and track success metrics for platform performance
• Anticipate and remove obstacles for infrastructure initiatives
• Maintain a competitive overview of the infrastructure landscape

Staff Product Manager – Platform & Infrastructure

Full-stack Engineer

• Define and own API-first, cloud-native architecture standards, service patterns, and integration frameworks across the platform.
• Lead the organization-wide transition to cloud-native and service-oriented architectures, ensuring scalability, security, and operational excellence.
• Act as the principal technical authority for backend systems and third-party integrations across the engineering organization.
• Drive long-term technical strategy and architectural decision-making aligned with business and platform goals.
• Lead modernization efforts toward a highly reliable, event-driven, and observable platform.
• Ensure high availability, performance, stability, and fault tolerance across all integration workflows.
• Establish best practices for resiliency, data consistency, and system scalability.
• Provide strategic leadership in the adoption and integration of AI-powered tools and systems, with a focus on measurable business outcomes.
• Guide architectural decisions related to AI scalability, security, and reliability in production systems.
• Evaluate emerging technologies and frameworks to keep the platform future-ready.
• Lead complex, cross-org engineering initiatives that span multiple teams and domains.
• Influence engineering roadmaps and technical direction without direct people management authority.

Principal Software Engineer

Research Engineer

• Focus on end-to-end exploit development for real-world targets.
• Design, develop, and validate novel vulnerability discovery and exploitation capabilities against complex software and systems.
• Work at the operating system, binary, and micro-architectural levels, emphasizing creating new technical capabilities.
• Comfort operating with minimal supervision, incomplete problem definitions, and delayed feedback.

Vulnerability Research Engineer

DevOps Engineer

• Design, implement, and maintain CI/CD pipelines supporting microservices-based architectures.
• Build and manage cloud infrastructure using Infrastructure-as-Code.
• Operate and scale Kubernetes clusters and supporting platform services.
• Improve observability, monitoring, and alerting for production systems.
• Partner with engineering teams to improve deployment reliability and reduce operational toil.
• Implement security best practices across infrastructure and deployment pipelines.
• Troubleshoot complex infrastructure and production issues.
• Participate in on-call rotations and incident response as needed.

Senior DevOps Engineer

• Define and drive the long-term DevOps and platform engineering strategy aligned with engineering and business goals.
• Architect, build, and maintain scalable, reliable, and secure CI/CD pipelines and cloud infrastructure.
• Lead adoption of modern practices such as GitOps, Infrastructure-as-Code, and automated release management.
• Design and manage Kubernetes-based platforms supporting high-availability and large-scale workloads.
• Serve as the technical authority for complex infrastructure, tooling integrations, and platform migrations.
• Establish best practices for reliability, security, observability, and cost optimization.
• Collaborate closely with engineering, security, and product teams to remove developer friction.
• Mentor senior engineers and influence engineering teams through technical leadership and strong documentation.
• Drive continuous improvement across the software delivery lifecycle.

Staff DevOps Engineer

• Ensure the design and development of a cloud native API first platform for our patented data and AI-powered Security Knowledge Platform™.
• Build and maintain integrations connecting our platform with customer systems, security tools, workflow engines, and more.
• Drive modernization efforts toward a highly reliable, service-oriented platform.
• Mentor engineers across multiple teams and contribute to engineering excellence.
• Collaborate with designers using our accessible and standards-compliant design system (bugcrowd.design).
• Ensure high accessibility, stability, and performance across integration workflows.
• Deep knowledge of Kafka or similar event streaming platforms.

Senior Software Engineer

Software Engineer

• Leading and growing a highly skilled full-stack engineering team (backend-heavy) delivering secure, robust integrations and platform services.
• Deep expertise in Cloud Native product engineering
• Driving architectural initiatives to evolve the platform into a service-oriented, high-performance ecosystem.
• Expertise in AI tools adaptation and strategic outcome oriented responsibility
• Establishing technical direction, service boundaries, and engineering standards for integrations and backend systems.
• Collaborating with product, security, platform, and design teams to deliver seamless customer and internal experiences.
• Mentoring engineers at all levels and fostering a culture of ownership, craftsmanship, and continuous improvement.
• Improving internal tooling for teams such as Application Security Engineers who process vulnerability insights.
• Ensuring the team’s delivery quality, operational excellence, and alignment with Bugcrowd’s engineering principles.
• Partner with stakeholders to identify new integration opportunities that drive business value.