We are seeking a Performance Engineer to join our Core department. In this pivotal role, you will lead performance engineering efforts across our company, working closely with the entire R&D department.
Your mission is establishing and implementing a comprehensive non-functional testing strategy to ensure system performance, stability, and availability.
You will identify potential bottlenecks, define testing standards, and collaborate with development teams to optimize our platforms performance.
Responsibilities:
Establish a holistic non-functional testing strategy for system performance, stability, and availability.
Define test code standards, tools, monitoring, and troubleshooting procedures.
Acquire deep knowledge of system architecture to identify and mitigate potential performance bottlenecks and risks.
Validate the performance of new product capabilities alongside product design and development.
Document performance requirements and metrics, working with development teams to implement them.
Generate performance reports and metrics, providing insights and recommendations for improvements.
Lead performance testing efforts, including load, stress, and scalability testing.
Implement and utilize application monitoring and observability tools to detect and resolve performance issues proactively.
Collaborate across teams to ensure performance considerations are integrated throughout the software development lifecycle.
Mentor and guide team members, promoting best practices in performance engineering.

We are looking for a Senior DevOps Engineer to join our DevOps team. In this role, you will take ownership of the production environment, lead strategic operational processes, and partner closely with R&D teams to drive reliability, scalability, and automation across the organization. You will be responsible for designing, building, and evolving our infrastructure and automation solutions, with a strong emphasis on modern DevOps best practices.
Responsibilities
Own and maintain a mature, stable, and secure production environment
Collaborate with cross-functional engineering teams to support development and delivery processes
Design and implement best-practice CI/CD solutions, especially for microservices architectures
Maintain, upgrade, and take end-to-end ownership of Kubernetes clusters (EKS)
Build, manage, and optimize the companys cloud infrastructure.

We are looking for a highly technical CTF Infrastructure Engineer to join our team. This role combines the technical depth of a Cyber Range Engineer with the creative and storytelling aspects of system gamification.
In this role, you will design and implement the infrastructure behind our Capture The Flag (CTF) environments, while also taking part in architecting the CTF scenarios themselves. You will be responsible for building and orchestrating complex, cloud-based lab environments where our security validation takes place.
This is a unique position for an engineer who combines creativity with deep technical problem-solving. You wont just be provisioning servers for uptime; you will develop the logic that spins up realistic, intentionally vulnerable, and dynamic environments in the cloud to simulate real-world attack scenarios. You will utilize our internal infrastructure, automate flows with Python, and perform deep configurations on Windows and Linux systems to set the stage for cyber attacks.
As part of this role, you will also take part in creating unique stories and hands-on experiences for CTF scenarios, working closely with security researchers to translate real-world threats into engaging, reproducible challenges.
Roles and Responsibilities:
End-to-End CTF Ownership: Design and build new Capture The Flag experiences from concept to execution, including scenario design, infrastructure, automation, and validation.
CTF Environments Development: Write code (primarily in Python) to automate the creation and behavior of complex lab environments.
Cloud Architecture: Design, deploy, and manage dynamic network environments on AWS using Terraform.
Deep System Configuration: Configure Windows and Linux internals (Registry, GPO, domain settings) using PowerShell and Bash to support specific attack vectors and research scenarios.
Pipeline Management: Maintain and tweak the logic of our build environments using Jenkins (writing and managing Groovy scripts).
Work closely with Security Researchers to understand new threats and translate them into reproducible, runnable lab environments.

We are seeking an experienced and passionate Senior Full-stack Software Engineer to join our dynamic team. In this role, you will support the development effort of a full-stack team and guide and mentor the other team members. The ideal candidate combines strong technical expertise in modern frontend frameworks with solid backend knowledge, enabling you to guide the team end-to-end. You will play a key role in driving team velocity, fostering best practices, and delivering reliable, scalable, and user-centric applications.

Responsibilities:

Guide the team in building scalable, reliable applications using cloud infrastructure.
Share knowledge and best practices across the R&D department.
Support backend development efforts in Golang and Node.js
Support frontend development efforts with React & TypeScript
Drive continuous improvement in team velocity and delivery quality.
Coordinate with cross-functional teams to align development efforts.
Partner with product managers, designers, and backend/core teams to deliver seamless user experiences.
Contribute to company-wide technical initiatives.
Collaborate on design and implementation of new features and services.

hiring a talented Android SDK Engineer to join our team of engineers. In this role, you will be responsible for designing and building the next generation of our Android SDK, a high-performance product used by many of the most popular apps and games in the market.
Our SDK operates at an extreme scale, generating billions of ad requests and events daily. Your work will impact millions of users by delivering various ad formats through industry standards such as VAST and MRAID.
Beyond mobile, this is a unique opportunity to join a lean team working on diverse projects involving Go-lang, React, and big-data frameworks that empower both our internal systems and external customers.


Your Responsibilities
Play a key role in designing and implementing an industry-leading SDK used by nearly a billion users daily.

Contribute to the building and maintenance of SDK adjacent systems, including an analytics big-data platform and multiple Kubernetes-based microservices.

Produce clean, scalable, and testable code that meets high engineering standards.

Work within a dynamic, cross-functional team, collaborating with product managers, support teams, and QA and automation engineers worldwide.

We are looking for a QA Automation Engineer to join our Viewer team and help ensure the reliability, scalability, and performance of our web applications. In this role, you will design and maintain automation frameworks, develop end-to-end tests, and proactively identify issues before they impact our users. You will also be responsible for production releases and managing production bugs, ensuring smooth deployments and quick resolution of critical issues. This position requires strong technical expertise, self-management, and excellent communication skills to collaborate effectively across teams.
Key Responsibilities:
Design and maintain robust test automation frameworks using JavaScript/TypeScript.
Develop and execute automated tests leveraging tools such as Playwright, Selenium, or Cypress.
Collaborate with developers, product managers, and designers to embed quality throughout the development lifecycle.
Debug complex issues using browser DevTools, network logs, and other diagnostic tools.
Integrate automated tests into CI/CD pipelines in partnership with DevOps and engineering teams.
Drive quality initiatives by identifying gaps and proposing improvements in testing processes.

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

We are looking for an AI Quality & Evaluation Engineer to own the quality planning and execution of an AI-powered chat application operating over complex law enforcement and mobile device data.
This is a highly hands-on role focused on execution rather than high-level QA strategy. You will design, build, and run automated and semi-automated tests for LLM-driven workflows, create evaluation datasets, and continuously stress the system with realistic and extreme investigative scenarios.
What you will be doing:
Design, plan, and execute quality tests for an AI chat application built on LLMs and investigative data.
Build and maintain automation frameworks for prompt regression testing, multi-turn conversations, and model upgrades.
Create and curate evaluation datasets used for regression testing, benchmarking, and model comparison.
Design complex investigative scenarios including ambiguous, incomplete, or conflicting datasets.
Execute manual exploratory testing to uncover hallucinations, reasoning failures, and edge cases.
Work closely with engineering, product, and data teams as part of the development lifecycle.
Validate release readiness and identify regressions related to prompts, models, or data pipelines.
What makes this role different:
You are evaluating AI behavior rather than fixed expected outputs.
You help define what correctness and quality mean for AI reasoning over sensitive data.
You actively invent scenarios to stretch and break the system.
Your work directly impacts trust, reliability, and investigative confidence.