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 versatile, autodidact Senior DevOps Engineer - someone who learns fast, thinks laterally, and isn't afraid to pivot mid-stream when the mission changes.
You are independent and accountable, but you thrive in a collaborative ecosystem. If youre a service-oriented problem solver who views "infrastructure as code" as a craft, we want to talk.
What You'll do:
As a core member of our infrastructure team, you will bridge the gap between development and operations, ensuring our hybrid-cloud environment is seamless, scalable, and resilient.
Architect & Implement: Lead the design of hybrid-cloud solutions with a heavy focus on cloud best practices.
Own the Production: Take full accountability for production environments, ensuring 24/7 stability, availability, and performance.
Automate Everything: Replace manual toil with elegant automation using Terraform, Crossplane, and Ansible.
Bridge the Hybrid Gap: Maintain and optimize application layers across both cloud and private cloud environments.
Cross-Functional Partnership: Collaborate with Product, QA, and Dev teams to streamline CI/CD pipelines and remove delivery bottlenecks.
Resilience: Participate in a rotating On-Call schedule to keep our high-volume systems humming.

We are looking for a brilliant and enthusiastic DevOps Engineer to join our close-knit and highly-skilled team to help expand our platform to newer heights. As a team member, you will take part in the design and implementation of our ever-evolving infrastructures, providing our company with smooth and robust DevOps solutions.
Roles and Responsibilities:
Build and maintain highly available and scalable production systems
Design and implement dynamic serverless cloud environments
Develop a robust, fully-automated deployment for SAAS solutions
Monitor system performance and implement optimizations for reliability and cost-efficiency
Work closely with development, security, and automation teams to foster a culture of security awareness
Research and integrate new DevOps technologies using best practices.

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 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.

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.

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.
Implement 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.

We're building a new Engineering Platform team designed to accelerate our every business and engineering function.

As a senior Platform Engineer, you will design and build cloud infrastructure, internal developer services, AI powered automations and more to make our teams faster, autonomous and more productive.

Responsibilities
Build and evolve platform services that improve developer experience (devEx), reliability and engineering productivity while being secured.
Develop AI-driven tools and automation: internal agents, workflow orchestrators, intelligent integrations and internal assistants based on AWS infrastructure.
Integrate platform components with .NET and Python services running on AWS.
Own core cloud infrastructure using automation and Infrastructure-as-Code (Terraform/CloudFormation).
Deliver scalable, secure, and cost-efficient cloud solutions across multiple domains.
Create self-service capabilities that allow product and engineering teams to move independently.
Partner with security, DBA, DevOps, product and business stakeholders to build cross-organizational solutions.
Establish reusable templates, engineering best practices, and inner-source contribution models.