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We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.
Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power our companys next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

Become part of an experienced team that is passionate about building an exciting consumer product
Become a major part of the frontend development efforts in the company by taking ownership of major features
Work with new and cutting-edge technologies
Tackle tough problems and find creative ways to solve them
Implement advanced analytics and deploy code in fast iterations to optimize the user experience
Work closely with the Product, Design & UX teams

we are at the forefront of building state-of-the-art space-resilient computing infrastructure that empowers the next generation of satellites and space missions. Our on-board processors (OBP) revolutionize traditional satellites into smart, software-defined units so applications can be developed and updated in real-time, creating infinite possibilities for space satellite payloads and deep space missions.
The Software Automation Development Engineer is responsible for working with cross-functional engineering teams to design and develop the software infrastructure for automated testing systems. We are seeking a skilled automation developer to join our team and contribute to the development of test automation platforms using Python, Django, and React frameworks. In this role, you will be responsible for creating applications from the ground up, configuring existing systems, creating backend automation services, integrating test equipment, building automated test flows to support advanced ATE station deployments, and providing user support.
What will you do:
Design, develop, and maintain automated test platforms using Django, Python and Pytest.
Build backend and frontend infrastructure for ATE & validation automation and data collection.
Develop automated scripts for hardware testing, validation, and production.
Collaborate with test, hardware, and software teams to define system-level automation architecture.
Integrate and control various test instruments and devices using protocols such as SCPI, VISA, or custom APIs.
Collaborating with internal teams to design software architecture.
Document test tools and automation processes for internal users.
Investigate, debug, and resolve software and system integration issues.
Keeping updated with the latest industry developments.

What Youll Do

You will build and ship product features across the Full Stack, owning backend in Python and frontend development equally.



Core Responsibilities

Build and maintain backend services in Python + FastAPI (APIs, business logic, integrations, data flows).
Design and implement clean, scalable REST APIs and service layers that power the product.
Integrate R D outputs (AI models, algorithms, internal services) into production through robust API layers and workflows.
Build and maintain the frontend in React (component architecture, state management, hooks, performance).
Own features end-to-end: requirements? backend design? API implementation? frontend integration? testing? deployment? monitoring.

MUST: Experience working at scale/scaled systems

We are seeking an exceptional Engineering Manager to found and lead a new engineering team focused on developing next-generation Data Protection capabilities.

This is a high-impact, hands-on leadership role requiring both deep technical ownership across various domains (low-level, Backend, Frontend) and people leadership and product vision. You will be responsible for defining the technical direction, building the initial product components, and growing a high-performing, multi-disciplinary team from the ground up.

What will you Do?
The new team will be responsible for rapidly integrating existing capabilities and developing new, production-grade features. This will include:

Build and Lead the Team: Recruit, mentor, and manage a team of 3-6 engineers, fostering a culture of technical excellence, accountability, and innovation.
Drive Full-Stack Technical Delivery: Own the end-to-end architecture and technical design for the entire product stack. From the creation of low-level agent components to the web application controlling it, and overseeing the delivery of the entire product ecosystem.
Product & Cross-Functional Partnership: Collaborate closely with Product Management, UX Design, and multiple R&D teams to translate high-level and long-term vision into an executable product roadmap and technical specifications.

Own agent-cloud workflows end-to-end. Design, implement, test, and ship features that configure, observe, and interact with macOS agents (policy management, live response, threat remediation, device posture, fleet operations).
Craft clear customer insights. Turn raw endpoint telemetry and detections into actionable, explainable views and workflows in the console, enabling security teams to investigate and respond quickly.
Shape the architecture. Lead designs for new modules spanning agent, services, and UI; choose patterns/technologies for scale, reliability, and performance; represent the endpoint perspective in reviews.
Raise the bar on quality. Add robust automation, unit/component tests, and resiliency checks; drive safe rollouts, versioning, and backward compatibility for agent-facing APIs.
Partner across disciplines. Work closely with product, customer support, and endpoint/kernel engineers; help triage production issues and translate field feedback into product improvements.

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 passionate Full Stack Team Leader to join our engineering team. In this role, you will lead a team working on the companys core product and its expansion to support new markets.
You will have a major impact across the R&D department, and will be part of its leadership.
Your responsibilities will include leading and mentoring engineers, designing & implementing complex architecture, and executing solutions with a focus on performance, scalability, and security while following best practices.
You will take ownership of features from initial design through architecture planning, implementation, and deployment to production. You will set the bar of excellence for the engineers to follow.
If you are passionate about leading high-performing teams, being a tech influencer, and making a broad impact on the entire R&D department and our customers,!

Own, enhance, and improve core platform

Build and maintain systems for collecting and processing metrics from client environments

Focus on system efficiency and resilient infrastructure

Integrate well-known SaaS platforms into big data repository (e.g., major cloud providers, Datadog, Snowflake)

Optimize Spark and Airflow processes

Contribute to data design and platform architecture while working closely with other business units and engineering teams

Face the challenges of testing and monitoring large-scale data pipelines

Own, enhance, and improve core platform

Focus on system efficiency and resilient infrastructure

Integrate well-known SAAS platforms to big data repository e.g., the major cloud providers, DataDog, and Snowflake

Optimize Spark and airflow processes

Contribute to data design and platform architecture while working closely with other business units and engineering teams

Face the challenges of testing and monitoring your large-scale data pipelines

LiveU is a global hi-tech leader in live IP-video solutions. We provide a cutting-edge ecosystem of hardware, cloud, and SaaS platforms that power the world’s most compelling live moments. We're looking for a motivated and diligent QA engineer to join our growing team. Location : Kfar-Saba, Israel Responsibilities
* Responsible for the quality of the Core functionality of all LiveU's products.
* Represent the QA discipline in a scrum team, create, review and execute manual and automated test plans.
* Focal point for specific features from start to end of development.
* You will be working closely with cutting edge technology in a fun and dynamic environment.

we are looking for a Deployment Engineer.
Roles & Responsibilities:
Become an important figure in the onboarding process of new customers
Help design and deploy Pentera and all its products on our customers infrastructure - On-prem and Cloud
Guide our customers to an early start with our products by getting them to production stage
Help our customers to purchase suitable hardware
Pass network knowledge to the Solutions Architects and Customer Success Managers.

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 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

Were looking for a highly skilled and motivated Security Automation Engineer to join the Resolve team .
In this unique role, you will bridge the gap between deep cyber security analysis and software engineering. You won't just analyze data, you will build the engines and integrations that interpret it.
You will dive deep into vast amounts of security data, understand the underlying logic of cyber threats and defensive tools, and write robust, production-grade code to integrate these insights into our platform. If you are a developer at heart with a passion for cyber security structures, APIs, and cloud environments, this is the place for you.
Roles and Responsibilities:
Design and implement deep, logic-driven integrations with various security products and cloud platforms.
Write scalable and clean object-oriented Python code to consume, parse, and normalize data from diverse external sources.
Analyze complex security logs and API documentation to understand the underlying data story and how to deliver meaningful value to the user.
Reverse-engineer undocumented APIs and internal data structures from third-party security tools to extract critical insights.
Collaborate closely with security researchers to translate abstract detection logic and threat intelligence into automated code modules.
Troubleshoot and solve complex connectivity and data-logic issues involving authentication, rate-limiting, and network protocols.
Maintain the quality and reliability of the integration layer, ensuring it adapts to changes in external security products.
Participate in code reviews and engineering discussions, focusing on design patterns and code efficiency.
Our Tech Stack: Python, MongoDB (Atlas), AWS, and so much more.