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This role sits at the intersection of engineering, product, and the global developer community. Youll translate technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into R&D and business teams to influence product direction.

As a Developer Advocate you will:
Represent across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs

We are looking for a Project Manager to join our team and take full ownership of customer-facing projects - from sale to delivery.

This role sits at the intersection of Sales, Delivery, R&D and Operations, ensuring that every customer project is delivered on time, within scope, and with full alignment across teams.

This is a role with real ownership, visibility, and impact on the companys success.

Requirements
What Youll Do

Own end-to-end project management for customer deliveries - each sale is treated as a standalone project
Be fully aware of customer delivery timelines and milestones, and ensure alignment with internal teams
Work closely with Sales and Delivery to deeply understand what was sold to the customer, including product configuration and scope
Coordinate with R&D to understand the current status of relevant development efforts and translate them into operational and delivery requirements
Bridge gaps between R&D, Operations, and Delivery to ensure feasibility and timeline accuracy
Build and manage detailed project plans (Gantt charts) for each project and continuously track progress
Identify risks, gaps, and dependencies early and proactively drive solutions
Gain deep familiarity with all product BOMs, required components, and operational needs
Monitor timelines, follow up on execution, and ensure on-time delivery to customers
Collaborate closely with R&D, Operations, Sales, and Delivery teams

We are looking for a Lead DevOps Engineer to join our team as our first dedicated infrastructure hire. You will play a foundational role in architecting and scaling the engine that powers our cloud services and on-premise hardware deployments.

This is a position with real ownership. You aren't just managing servers; you are designing the delivery, monitoring, and security standards for a product that must thrive in both high-scale cloud environments and strictly disconnected, air-gapped networks.

Requirements
What Youll Do

Build the Foundation: Architect and maintain our core cloud infrastructure (IaC) and CI/CD pipelines, ensuring a seamless path from code to production.
Universal Observability: Design and deploy a "conservative" yet powerful logging, monitoring, and alerting stack (e.g., Prometheus, Grafana, Loki) that works similarly in the cloud and in disconnected on-prem environments.
Infrastructure as Code: Develop portable Pulumi
On-Prem & Air-Gapped Strategy: Create the systems and tooling required to package, deploy, and update our software on customer environments with zero internet access.
Customer Infrastructure: Lead the deployment of cloud-based gateways and managed services for our enterprise clients, ensuring high availability and robust security.
Security & Encryption: Implement and manage critical security infrastructure, including mTLS, CA-signed certificate management, and hardened Linux service configurations.
Collaborate with R&D: Work closely with our networking and hardware engineers to bridge the gap between low-level connectivity and scalable cloud architecture.

We're hiring a senior AI Engineer to join our AI team building our autonomous AI agent and helping extend AI capabilities across the company.

What You'll Do

Design and ship our agent systems end-to-end - perception, reasoning, memory, retrieval, and the loops that connect them. Production agents, not prototypes.
Optimize multimodal inference for real-time operation at the edge - model choice, quantization, and batching to hit our latency and concurrency budgets.
Design embedding pipelines, vector storage, and hybrid retrieval that power the agent's search, behavioral analytics, and rule generation.
Architect how multiple edge units coordinate at scale - sharing context, correlating activity, and behaving as one coherent system for our largest deployments.
Build the agent's air-gapped lifecycle - updating, learning, and evolving entirely inside customer private networks with no cloud connectivity.
Run focused research on new open-source models and inference frameworks, and bring back insights and prototypes that inform our roadmap.
Plus occasional cross-company AI projects across the rest of the company.

Parametric Technology Israel Ltd. The team is part of a global group - working on developing top 3D MCAD tool (Creo). At this role you will be implementing and supporting algorithms for all kinds of Analysis (geometrical, Mass Properties, Mechanical, etc.).

If you are curious, collaborative and motivated, and would like to be part of an exceptional team of experts, then your place is with us!

We are looking for a talented Full Stack Developer to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable web applications across both frontend and backend systems. You will work closely with product managers, designers, and fellow engineers to deliver high-quality solutions that provide an exceptional user experience while maintaining strong engineering standards.
This is an opportunity to work with modern technologies, contribute to architectural decisions, and leverage AI-powered development tools as part of a highly collaborative and innovative development environment.
Key Responsibilities
Design, develop, and maintain full-stack web applications using modern TypeScript-based technologies.
Build intuitive, scalable, and high-performance user interfaces, including complex workflows, large-scale data tables, and reusable design system components.
Develop and maintain backend services, APIs, and business logic in a production environment.
Design and optimize relational database schemas, queries, and data access patterns.
Build and maintain RESTful APIs, including authentication, authorization, validation, and documentation.
Implement effective state management solutions for both client-side and server-side data.
Write and maintain automated tests across Unit, Integration, and End-to-End testing layers.
Participate in architecture discussions, code reviews, and technical design sessions.
Troubleshoot, debug, and improve application performance, scalability, and reliability.
Utilize AI-assisted development tools such as Claude Code and similar agentic coding platforms to enhance productivity while applying sound engineering judgment.

Our mission is simple: help our customers grow their top-line revenue by leveraging the massive sales networks, programs, and brand power of the hyper-scalers.
What Youll Do:
Design and build the full architecture of an Agentic Platform
Own end-to-end development - from infrastructure to user-facing features
Work across multi-cloud environments (AWS, GCP, Azure)
Deeply integrate AI tools and models (OpenAI and others) into the core product
Make independent architectural and product decisions with high autonomy

DRS RADA Technologies , a leading defense company developing and manufacturing life-saving radar systems, is seeking a GNC & Simulation Engineer. ?Position Overview We are seeking an analytical and hands-on GNC & Simulation Engineer to pioneer the digital foundation of our interceptor platform. In this role, you will build the "digital twin" of our aerial vehicles from scratch, simulating system-level trade-offs before physical hardware is realized. You will design, implement, and validate flight control, navigation, and terminal guidance algorithms that enable small, high-speed assets to successfully intercept dynamic targets in challenging environments. Key Responsibilities System Trade Studies: Run algorithmic simulations to analyze system-level trade-offs to support systemic architectural decisions. GNC Algorithm Design: Design and implement robust algorithms terminal guidance laws (e.g., Proportional Navigation) for dynamic interceptions. Flight Data Analysis: Post-process and analyze telemetry data from flight tests to validate, calibrate, and continuously improve the predictive accuracy of the simulation models.

we are looking for a Infrastructure DBA.
Responsibilities:
Foster a collaborative and productive team environment, encouraging professional growth and continuous learning.
Plan, coordinate, and execute database projects, including migrations, upgrades, and new implementations.
Oversee the design, implementation, and maintenance of MS SQL Server databases.
Develop and enforce database best practices and standards, including backup, recovery, and disaster recovery strategies.
Provide expert-level support and troubleshooting for MS SQL Server databases, including complex query optimization and performance tuning.
Stay up to date with the latest developments and best practices in database technologies, particularly MS SQL Server.
Manage, configure, and maintain SQL Server databases
Monitor system's health and performance and ensure high levels of performance, availability, sustainability, and security
Refine and automate regular processes, track issues, and document changes

we empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. As an AI system architect, you will design and build the AI infrastructure that powers Infinidat's internal engineering and data platforms. Working alongside our AI platform lead, you will architect the Full Stack - from air -gapped LLM inference clusters and RAG pipelines to the chatbot front door and MCP/Skills ecosystem that put these capabilities in the hands of R&D teams. This is a hands-on role for someone who thrives at the intersection of systems engineering, data infrastructure, and applied AI.
Responsibilities:
* Architect the Infinidat AI offering roadmap, in terms of HW, SW and AIOps
* Design the future products of Infinidat to maximize the AI offering in terms of performance, cost and power
* Architect and design on-premises LLM inference infrastructure, including multi-model serving on GPUs, high-core-count servers, systemd-managed services, context/throughput tuning, and network isolation for air-gapped deployments
* Design and extend Retrieval-Augmented Generation (RAG) pipelines - document parsing, chunking, embedding, governance definition, and hybrid vector Storage - for both document and source-code collections
* Build and maintain the internal AI platform architecture, including the chatbot front-door layer, model routing, an MCP/Skills marketplace, and data -sanitization boundaries between on-prem and cloud
* Develop internal Developer tooling and agentic coding workflows, integrating local model endpoints with editor and CLI-based coding assistants - Contribute to hardware evaluation and reliability modeling for server and Storage platforms, informing infrastructure decisions with quantitative analysis
* Establish operational discipline around security, reproducibility, and maintainability - favoring durable architectural solutions over per-case patches

At our company, a Lenovo company, we empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. Were looking for a talented and motivated JAVA Developer with strong software engineering fundamentals and a passion for learning complex systems. Youll take part in the design and development of Infinidats Management group and work on a high-performance, multi-threaded, clustered, server-side product.
Responsibilities:
* Design and implement JAVA backend components according to product requirements.
* Develop new features and improve existing code (maintenance, bug fixes, refactoring, and performance enhancements).
* Write unit tests and perform integration tests.
* Ensure high standards of code quality, performance, reliability, and engineering best practices.
* Work in an Agile development environment.
* Collaborate with the team: participate in design discussions, code reviews, and mentoring/supporting teammates.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you are a passionate and talented developer and have the capability to be among the best, we invite you to join our journey of success as a Software Team Leader in the NAS Group.

Responsibilities:

* Lead a team of 2-8 developers
* C++ coding over Linux in a multi-threaded, clustered and performance-oriented server-side environment.
* Technical-related aspects of Infinidat’s core component.
* Filesystem IO flow performance improvements.
* High level & detailed design of new features.
* Legacy code maintenance and refactoring.

In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.