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We are seeking a Talented Senior Software Engineer to join our EE team. You will join a dynamic team focused on handling of complex customer issues that require deep product knowledge, advanced troubleshooting, and close collaboration with development.
Responsibilities
Resolve complex escalations, that require deep technical expertise
ensuring high performance, scalability, and reliability.
Execute Deep Technical Investigation & Root Cause Analysis -
Reviewing logs, metrics, alerts, dashboards
Analyzing service interactions and Identifying patterns and anomalies
Producing RCA summaries and next steps
Drive Automation and AI‑Based Troubleshooting
Maintain High Expertise in Product Areas and Cross‑Discipline Technologies
Improve Product Supportability and Provide Feedback to DEV/PM.

The FinOps Technical Manager leads cloud cost operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide hands‑on technical guidance on cloud architecture, cost‑efficient design patterns, and optimization best practices. Foster strong collaboration between finance, DevOps, and engineering teams to ensure shared ownership of cloud costs
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Identify optimization opportunities by diving into current system architecture/ flows and implementation and resent actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Ability to detect bad designs and implementations that cause high spend.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement tools and integrations for real-time visibility.

We are seeking a highly skilled Senior Backend Engineer to join our expanding DatAdvantage Cloud team.
Suppose you have strong programming expertise, experience building large-scale cloud systems, a passion for developing applications using AI-driven tools, and enthusiasm to transform platform into a scalable, resilient powerhouse serving multiple applications and customers worldwide. In that case, wed love to meet you.
Responsibilities
Lead and participate in the full application lifecycle - from product requirements through architecture, coding, and monitoring.
Develop clean, maintainable code for large-scale, functional applications.
Troubleshoot and debug complex applications.
Leverage cutting-edge technologies, including AI tools, to modernize and enhance applications.
Constantly thrive to improve existing platform and applications
Design and build scalable, resistant and fault-tolerant cloud services.

We are seeking a highly skilled and self-motivated AI Backend Engineer to join our growing R&D team. In this role, you will play a key part in the design, development, and deployment of our next-generation backend services, AI-driven workflows, and GenAI applications.

We are looking for a seasoned engineer who is passionate about building robust, scalable systems and has a proven track record of integrating cutting-edge LLM technologies into production. You will work closely with architects and product teams to turn complex AI concepts into reliable, high-performance backend solutions.


Key Responsibilities
Feature Development: Design and build high-performance, resilient, and scalable backend services using Python.
AI Implementation: Integrate LLMs using AWS Bedrock and other GenAI frameworks to create innovative, AI-powered solutions.
Workflow Orchestration: Design and implement complex, end-to-end event-driven architectures utilizing AWS Step Functions.
System Architecture: Contribute to the design of distributed systems, ensuring they meet high standards for performance and scalability.
Code Quality: Write clean, maintainable, and well-tested code, participating in code reviews to ensure best practices across the stack.
Collaboration: Partner with Product, Data Science, and DevOps teams to translate business requirements into technical implementations.
Problem Solving: Maintain a hands-on approach to troubleshooting, optimizing, and technical problem-solving within the GenAI ecosystem.

Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies - including AI-powered development tools.
Who We Are:
We believe great engineering happens when skilled people work together with trust, ownership, and a continuous drive to improve. We value clear thinking, strong opinions held lightly, and using AI as a force multiplier - not a crutch.
A Mature, Supportive Engineering Culture
Youll join a team that values psychological safety, honest feedback, and shared ownership. We invest in code quality, thoughtful design, and long-term maintainability, while still moving fast when it matters.
Modern Development with AI
We actively use AI tools to accelerate development, validate approaches, explore alternatives, and improve quality. As a senior engineer, youre expected to critically evaluate AI-generated output, understand tradeoffs, and guide others in using these tools responsibly.
A Strong Product Mindset
Our engineers partner closely with product and design, influencing solutions from early discovery through delivery. We expect you to challenge assumptions, clarify 'why,' and help ensure were solving the right problems - not just implementing requirements.
A Place to Lead and Grow
This role offers technical ownership, architectural influence, and mentorship opportunities. Whether deepening your expertise or expanding into broader system design and leadership, we support your growth.
What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.

At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Own and operate the company authentication platform and internal IdP (token issuance, rotation, validation).
Build and maintain the NuGet packages for token validation and service-to-service communication used across all services.
Manage API gateway policies (routing, auth, rate limits, mTLS, observability).
Define and enforce RBAC across services (roles, permissions, policy evaluation, audits).
Continuously improve reliability, performance, and developer experience through automation, documentation, and support.

At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.

We are looking for a self-driven and experienced software engineer to join our R&D department. In this position, you will be part of a newly formed team responsible for designing and implementing a brand-new flow that classifies and processes sensitive data in files.
This is an opportunity to build a system from the ground up, working with cutting-edge technologies and handling large-scale data challenges. If you thrive in a fast-paced environment, are passionate about delivering high-quality solutions, and excel at taking initiative, wed love to hear from you.
Responsibilities
Design, implement, and test complex backend systems to ensure they meet the required specifications and performance standards.
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.

We are seeking a skilled and motivated Software Engineer (Automation Infrastructure) to join our team. This role is primarily focused on designing, developing, and maintaining robust automation frameworks and ensuring seamless integration with external systems and partner teams. The ideal candidate will have a strong background in infrastructure automation, excellent problem-solving skills, and a collaborative mindset.
Responsibilities
Design, build, and maintain efficient and reliable automation frameworks.
Implement, test, and bug-fix automation scripts and tools.
Write clean, scalable, and testable code for infrastructure automation.
Participate as a team member in fully agile Scrum deliveries.
Coordinate with other software professionals and developers.
Provide support to end users for automation tools and frameworks.
Collaborate with external teams and third-party vendors to implement integration solutions.
Remain up to date with the terminology, concepts, and best practices in infrastructure automation.

Required ML-Engineering Lead
Our people are our greatest strength - and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones - with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. Were proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
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.

Required Technical Instructor
Our people are our greatest strength - and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones - with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. Were proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
We're looking for a skilled professional to join our team in a dual capacity as a Technical Instructor and Technical Support Engineer.
This role demands a blend of advanced technical expertise and excellent personal communication skills.
You'll be responsible for creating and delivering impactful technical knowledge to others, while performing troubleshooting and validating our products to meet customer expectations.
As a key customer advocate, you'll play an important role in ensuring the quality of our offerings and becoming a trusted technical advisor to our clients.
Scope:
Develop and deliver product customer courses.
Act as post sale technical Instructor.
Troubleshooting both HW and SW related issues.
Responsible for on-site installation of software and hardware.
Communicating progress of activities with Project Manager and customer
Advise customers regarding the product's proper use and address specific user issues.
Act as service engineer to address tech cases via phone, web-based tools and email.

DRS RADA is a global pioneer in active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for a Senior Developer with Angular experience to lead the frontend development of a complex, GIS-driven web application built from the ground up. The system will deliver advanced geospatial visualization and interaction capabilities using technologies such as OpenLayers and potentially CesiumJS for 3D mapping. This is a hands-on role requiring strong architectural thinking, deep Angular expertise, and the ability to handle performance-intensive geospatial data in a rich client application. Key Responsibilities:
* Architect and develop a scalable Angular application from scratch, establishing best practices and coding standards.
* Design and implement advanced interactive map features using OpenLayers and/or CesiumJS.
* Integrate with backend REST APIs delivering geospatial data (e.g., GeoJSON, vector data).
* Work with map services (e.g., MapServer, OGC-compliant WMS/WMTS) and ensure efficient data rendering.
* Optimize performance for large datasets and complex map interactions.
* Build reusable, maintainable, and testable UI components.
* Collaborate closely with backend developers, product managers, and domain experts.
* Lead technical decisions on frontend architecture and mapping technologies.
* Mentor other developers and contribute to code reviews and technical standards.

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are seeking a Senior Backend Developer to lead the architecture and implementation of a GIS-oriented, distributed backend system. The system is currently in a Proof-of-Concept phase, with a clear trajectory toward a production-grade, mission-capable solution. This role is hands-on and design-heavy, focusing on building clean, extensible foundations for a microservices-based system that integrates real-time sensor data, geospatial processing, and a COTS GIS platform. You will define core architectural decisions that enable rapid iteration today while avoiding costly redesigns later. Key Responsibilities: Architecture & Technical Leadership:
* Design the backend architecture using modern .NET (C#), ensuring scalability from POC to production.
* Define microservices boundaries, service contracts, and data ownership models.
* Lead the design of the inter-service communication layer, evaluating and selecting messaging/communication patterns based on latency, reliability, and deployment constraints. Backend Development:
* Implement core services for ingesting and processing sensor-driven data streams (e.g., radar inputs).
* Design APIs and internal messaging patterns supporting low-latency and near-real-time workflows.
* Build services that integrate spatial and non-spatial data using PostgreSQL and PostGIS.
* Ensure performance is sufficient for real-time visualization without over-engineering early-stage components. GIS & System Integration:
* Integrate backend services with GIS map servers (e.g., Carmenta Map Server, LuciadFusion, Cesium ion).
* Collaborate with frontend developers using Angular, OpenLayers, and CesiumJS. Infrastructure & Deployment:
* Define containerization and deployment workflows using Docker / Podman (Compose-based, no Kubernetes).
* Design for on-premise constraints, including limited scalability and intermittent network reliability.
* Introduce lightweight observability (logging, metrics), with a path to production-grade monitoring. Reliability & Security:
* Design secure service communication and basic identity/access mechanisms.