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Were looking for a Senior Backend Engineer to join our growing team.
Responsibilities:
Design and build scalable backend services and APIs that power open security platform.
Develop serverless architectures on AWS, focusing on reliability, performance, and scalability.
Collaborate closely with product and security teams to translate requirements into clean, effective technical solutions.
Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion best practices around code quality, documentation, observability, and security-by-design.
Contribute to technical discussions and share knowledge with teammates on backend architecture, cloud infrastructure, and development best practices.

We're looking for a Senior Full Stack Engineer (Frontend Oriented) to join our growing team.
Responsibilities:
Design & Build modern, scalable frontend applications with React and TypeScript, delivering seamless user experiences for developers.
Develop & Maintain the design system closely with Product and UX, ensuring consistency, usability, and alignment with user needs.
Manage State at Scale using frameworks such as Redux, React Context, or React Query to support high-performance, complex applications.
Contribute Across the Stack with hands-on coding in Python and work on AWS cloud infrastructure where needed.
Collaborate closely with product, security, and backend teams to translate requirements into elegant and performant technical solutions.
Own Delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion Best Practices around code quality, documentation, accessibility, observability, and security-by-design.
Mentor & Guide teammates, sharing knowledge on modern frontend patterns and cloud-native development.

Were looking for an Application Security Engineer with a passion for AppSec to join our growing team.
Responsibilities:
‍‍Build and maintain an advanced security research lab to test, evaluate, and supercharge detection tools.
Analyze tools across multiple domains: SAST, SCA, DAST, Secret Detection, IaC Scanning, Container Scanning, CSPM, and more.
Identify detection gaps and develop techniques and rules to close them.
Leverage Python and AI practices to automate research and drive smarter detection strategies.
Monitor emerging threats, CVEs, and high-profile incidents - and develop relevant detection content and platform enhancements.
Collaborate closely with engineering, product, and marketing

We're looking for a senior AI Engineer with a strong backend background and deep experience building agentic AI systems to join our growing team.
Responsibilities:
Own the development of end-to-end AI agents, including both customer-facing agents and deep background agents. This includes designing agent architectures, building and maintaining agent tools, constructing and iterating on prompts, and continuously evaluating, operating, and improving the agent infrastructure in production.
Integrate large language models (LLMs) into production environments to enable autonomous task handling and decision-making.
Collaborate closely with engineering, product, and security teams to turn ambiguous problems and AI research into reliable, production-grade capabilities.

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

looking for a highly motivated Algorithm Intern to join our cutting-edge AI team. This is a unique opportunity to work on real-world deep learning challenges, contribute to production-level systems, and collaborate with top-tier engineers and researchers.
This is a full-time, 3-month internship, with the potential to transition into a full-time Algorithm Engineer position upon successful completion.
Why Join Us?
Work on cutting-edge AI technology used by real users
Learn fast and gain real production experience
Be part of a collaborative, high-impact team
Opportunity to convert to a full-time role
Responsibilities
Design, implement, and improve deep learning models.
Work on real-world AI problems using large-scale data.
Collaborate closely with experienced engineers and researchers.
Run experiments, analyze results, and optimize model performance.
Take ownership of projects and drive them forward independently.
Stay up to date with the latest trends in AI and deep learning.

We arelooking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.