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We are seeking a Technical Project Manager with a software development background to lead complex, cross-domain business projects. This role is designed for someone with strong engineering background who transitioned into project management and can combine technical depth with strong delivery skills. You will work closely with Product Managers, Solution Architects, and R&D leaders to orchestrate initiatives that span multiple domains, ensuring alignment between business objectives and technical execution.
Key Responsibilities:
Business Project Leadership: Lead end-to-end delivery of cross-domain projects involving Product, Architecture, R&D, and Solution teams.
Technical Insight: Use your development background to understand solutions in depth, anticipate dependencies, and support technical decision-making.
Cross-Functional Collaboration: Partner with Product, Architects, R&D, PS, DevOps, IT, and Security to align priorities and coordinate execution.
Execution Frameworks: Build and manage project plans, quarterly planning processes, and delivery frameworks that ensure predictability and efficiency.
Process Improvement: Define and implement governance models, reporting standards, and continuous improvement practices.
Risk & Issue Management: Identify risks across technical and business domains, implement mitigation strategies, and lead task forces when issues arise.
Communication: Act as a bridge between executives, product stakeholders, and delivery teams, providing clear and transparent updates.
Stakeholder Management: Manage relationships across multiple integration points, ensuring alignment between business goals and technical solutions.

We are looking to expand our drone take-over research team, which is responsible for the core technology of our product.
This is a great opportunity for you to expand your capabilities working on versatile and innovative cyber research projects as part of a young and extremely talented team.

Antenna system and RF engineer that will primarily lead antenna system design, testing and system verification from concept to production.
The position is part of the RF R&D team and will require in addition RF board design and testing.
Responsibilities will range from initial concept stage up to production including concept verifications, guiding mechanical design, final product approval including outdoor testing and transfer to production.
The designs require multi discipline knowledge in antennas, antenna arrays, mechanics, RF and system considerations
The job requires collaboration with the system, electrical, mechanical, software, manufacturing, and system test engineers to ensure successful product design and transition to production.

Required Frontend Developer
As part of your role you will have the opportunity to:
Design and implement client-side features
Be fully involved from the kick-off phase with Product Management and UI/UX, all the way to production deployment
Work closely with other teams in the R&D in an agile environment
Direct customer impact, design, develop and deploy in short cycles.

We are looking for a highly skilled RF Test Automation Developer to join our R&D Integration Automation team.

This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.

The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools.

The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle.

Knowledge of RF systems is a strong plus.

Key Responsibilities:
Develop and maintain automated RF test development tools using Python and other relevant programming languages.
Configure, calibrate, and operate RF test equipment such as Vector Signal Generators (VSGs), Spectrum Analyzers (SAs), and related instruments.
Create and validate RF test setups for performance validation, debug, and system characterization.
Analyze test results, generate comprehensive reports, and present findings to cross-functional teams.
Collaborate with hardware and software engineers to integrate automated RF testing into the product development cycle.
Stay current with emerging RF technologies and testing methodologies, proposing and implementing improvements to existing test processes.
Contribute to the development of RF testing strategies aligned with R&D goals and product roadmaps.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

Required Backend Software Engineer
As part of the role you will have the opportunity to:
Research, design, maintain and develop core data infrastructure components
Analyze and optimize system performance, scalability, reliability, and data quality across a rich technology stack (Apache Kafka, Airflow, Storm, SQL/NoSQL databases)
Architect, design, and implement robust, performant distributed data systems (streaming and batch processing).
Collaborate with cross-functional teams to integrate data pipelines with AI/ML workflows and production monitoring systems.
Work in a fast-paced startup environment, managing multiple priorities while maintaining high code quality and operational excellence.

We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

Required Backend Software Engineer- Platform
As part of the role you will have the opportunity to:
Be part of team responsible for designing and implementing our next generation on-premise component that facilitates communication with our customer's IoT devices - a.k.a the native connector
Help develop & maintain the underlying infrastructure that enables scalable , cost-efficient & secure communication between our cloud-native platform and the Network components & IoT devices that reside on-premise
Research & develop features that allow remote management of components that reside on premise
Help develop & maintain our IoT agent-based embedded software solution that is deployed directly onto the IoT edge devices
Research & develop integration with various external 3rd party solutions in a cloud-to-cloud and cloud-to-on-premise formations using a variety of APIs, including REST, SDKs, and other network protocols
Develop new backend services in micro-service architecture and cloud-native best practices
Guide and mentor team members
Troubleshoot and resolve technical issues, ensuring seamless operation of our services & integrations.

Required Senior Backend Engineer
As part of the role you will have the opportunity to:
Research, design, maintain and develop core data infrastructure components
Analyze and optimize system performance, scalability, reliability, and data quality across a rich technology stack (Apache Kafka, Airflow, Storm, SQL/NoSQL databases)
Architect, design, and implement robust, performant distributed data systems (streaming and batch processing).
Collaborate with cross-functional teams to integrate data pipelines with AI/ML workflows and production monitoring systems.
Mentor and guide junior engineers, defining technical best practices and driving continuous improvements.
Work in a fast-paced startup environment, managing multiple priorities while maintaining high code quality and operational excellence.

The Opportunity We are starting a new ML/AI organization directly reporting to the CTO, to pioneer next-generation capabilities for our industry-leading defense systems. As a Founding ML-Engineering Lead, you will be the technical cornerstone of this initiative. This is a high-impact role designed for a practitioner who seeks total technical ownership of the machine learning lifecycle. You will be responsible for taking novel AI projects from initial concept through data collection, design, implementation, and evaluation, all the way to deployment.

The Technical Challenge Our ML initiatives span a diverse technical landscape. You will lead projects that range from field-oriented applications, where high accuracy and reliability are paramount, to research-oriented tools and agentic workflows designed to enhance our R&D capabilities and accelerate complex data analysis. Working in deep collaboration with our R&D teams, you will leverage unique, proprietary data to solve problems at the forefront of the counter-drone industry.
What You Will Do:
End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage-from data acquisition to deployment-meets our rigorous standards.
R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.
Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.
Technical Authority: Act as a founding voice for ML implementation and strategy within the CTOs office.

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

We are looking for a .NET developer to join our fast-growing Acquiring dev team. You will report to the ACQ Integration Team Leader and play a key role in enhancing the Acquiring system by developing innovative new features, contributing to our teams ongoing success and growth.
Responsibilities:
Participate in all aspects of software development, including designing, hands-on coding, implementing, debugging, deployment, and troubleshooting
Accountable for overseeing the complete lifecycle of new product features and components from inception to deployment
Provide mentorship for other team members
Conduct code reviews
Be a source of knowledge for the team members regarding the technical and business aspects of the daily work
Assist the team leader in any way that is required, including leading feature development and providing guidance for other team members
Define and enforce coding standards.

We are always looking for exceptional talent to join us on the journey!
Your Mission:
As an MLOps Engineer, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across.
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

Were looking for a Community Manager to take a key role in shaping one of the most valuable assets at our company, our community.
This is not a traditional community role. Youll take an already highly engaged audience and turn it into a structured, scalable, and impactful ecosystem that builds strong connections and drives meaningful results.
In this role, youll own our community strategy end-to-end, build meaningful relationships, drive engagement, and use community insights to improve product experiences.
Your main focus will be on highlighting and nurturing the company community, with a focus on our company Team, our core group of highly engaged users, creators, and future brand advocates.
What Youll Do
* Build and lead an engaged, actively connected community across platforms, structuring existing channels into a thriving ecosystem and maintaining meaningful daily interactions that spark real conversations between members
* Strengthen trust, belonging, and emotional connection within the community
* Identify, engage, and empower key members and community leaders
* Actively listen to community conversations to identify needs, pain points, and emerging trends
* Turn community insights into actionable recommendations that improve products, marketing, and overall community experience
* Act as the voice of the community within the company, working cross-functionally to drive impact
* Initiate and lead activities, conversations, and programs that increase participation and engagement, and the overall value members get from the community
* Support community members in their development into our company Teams Affiliate programs
* Manage feedback, complaints, and sensitive situations with empathy and professionalism, maintaining a safe, respectful, and inclusive environment

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team. Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments. Many of our OCC Monitoring Specialists have been promoted internally and integrated into development, DevOps, and product teams.
This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.
Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations.