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We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. Were looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of our Remote Replication team. The selected candidate will be part of a professional team that develops in C ++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.
Responsibilities:

* Implement new features.
* Optimize the performance of our existing features.
* Understand our most complicated algorithms in order to own, fix and improve our features.

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. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s Core team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain Core backend services in C++ on Linux.
* Develop and optimize high-scale I/O flows, metadata management, persistence layers, and storage-related data paths.
* Maintain and optimize databases, caching, and configuration-management solutions for clustered environments.
* Develop infrastructure that serves user requests and integrates with higher-level system components.
* Investigate and resolve complex production issues while improving performance, scalability, stability, and resource efficiency.
* Collaborate closely with developers, architects, QA engineers, and product teams throughout the development lifecycle.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a highly skilled and visionary C / C ++ Senior Developer to join our dynamic platform team. As a Platform Engineering Architect, you will play a crucial role in the design, development, and technical aspects of our high-performance, multi-threaded, clustered, mission-critical, server-side products, developed primarily in C, Python and C ++ on the Linux platform.
Responsibilities:

* Technical leadership and ownership of large, multi-disciplinary features and changes to our product
* Hardware and Software Integration - Develop software solutions to effectively handle and monitor various hardware components.
*  Linux OS and Driver Enhancement - Support and enhance a customized Linux operating system and drivers that serve as the foundation for our software ecosystem.
* Vendor Collaboration - Collaborate with hardware vendors to support current products and seamlessly integrate new product generations into our platform.
* Communication Interfaces- Design and develop both external and internal communication interfaces for our products.
* Mentoring developers in the group as they tackle difficult issues in their work on SW design, implementation or debugging.

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. We are looking for an experienced Senior Product Manager to join our Product Management team, focusing on AI workloads and AI operations tools. In this role, you'll drive the AI capabilities customers use to operate enterprise storage and to build AI data services, taking the product from definition through GA and measuring its success.

Responsibilities:

* Drive the AIOps and AI-data-readiness strategy and roadmap, inbound and outbound, informed by where the market and the technology are moving
* Lead discovery with enterprise customers and Fortune 500 accounts, and work with the field and sales teams to turn what you learn into product and feature decisions
* Oversee deployment models considering cost, data governance, privacy, and compliance
* Take the product from PRD to GA with R&D, QA, Support, and Operations. Win the commitment of the executive team, Sales, and Marketing
* Measures for success: adoption, customer impact, and business outcome
* Be the subject-matter expert on AIOps: lead the conversation about this product with customers and internal teams.

Join team to build and extend the AI assistant embedded across our product suite. The platform is a production LLM agent system that's integrated into multiple host applications, backed by a RAG knowledge base and an evaluation-driven development workflow.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We are looking for a Senior Product Designer who designs products and builds the tools that change how design gets done.

This role has two halves. You will own the design of a core area of the platform, end to end, at the same craft bar as everyone else on the team. Alongside that, you will build the agents, skills and internal tools that reshape how our whole design team works., and prove them on your own product area first.

We think these belong together. Someone rebuilding the workflow should be living inside it every day, so what they build survives contact with real product work. If you have been quietly automating your own design process and wishing it were your actual job, this is that job.

We already have an AI agent in the product. It works, it is early, and it is nowhere near what it should be. How far it goes, and what it grows into, is genuinely open. The designer who understands agents best will have a real voice in answering that.

This is an individual contributor role. You will mentor, and you will change how the team works, but you will not manage people.

Key Responsibilities:

Own a core product area: Take full design ownership of a significant surface, from discovery through shipped experience and beyond launch, working directly with product and engineering.
Build the agentic design toolchain: Create and maintain the skills, agents and commands the design team uses day to day, covering the path from ticket to reviewable prototype.
Prototype in working code: Move from problem statement to a clickable, testable artifact quickly by orchestrating agents to do the building while you review, steer and cut.
Orchestrate agents through a product cycle: Decide what gets delegated, what stays human, and where the human gate sits, then write it down so others can repeat it.
Make new ways of working stick: Run the rituals that turn tools into habits. Prototyping sprints, office hours, pairing, internal demos, and the documentation behind them. Retire what does not earn its place.
Keep us honest about quality: Define how we know an agent output is good, build lightweight checks for what you ship, and tell us plainly when the agentic path is worse than the manual one.

A leading defense high-tech company specializing in radar systems development, is seeking a motivated and experienced Engineering Project Management team leader to establish and lead the Project Management capability within our Engineering department. Responsibilities:
* Lead the Engineering Project Management team and establish common project management methodologies, tools, and execution routines across the department.
* Build and maintain an integrated view of Engineering projects, work plans, milestones, dependencies, risks, resources, and priorities.
* Ensure alignment between Engineering work plans, R&D development programs, production needs, and business objectives.
* Drive regular project reviews, action follow-up, risk management, escalation, and management reporting.
* Provide clear and reliable visibility into project status, critical paths, resource constraints, and execution gaps.
* Support Engineering management in prioritization, resource allocation, and resolution of cross-functional conflicts.
* Define and implement common dashboards, KPIs, and project control mechanisms.
* Guide and professionally develop Engineering Project Managers and PMO team members.
* Collaborate closely with Engineering leaders, R&D, Manufacturing, Quality, Supply Chain, LOBs, and other relevant stakeholders.

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.

We are looking for a hands-on Business Operations & Systems Manager to turn the way we work into scalable systems.
Youll work across Sales, Delivery, Finance, HR and Management to identify friction, manual work and broken handoffs, design better processes, and build the systems behind them using CRM platforms, automation tools, AI and low-code/no-code tools such as Lovable, Make and n8n.
Responsibilities
Design end-to-end business processes across teams.
Identify operational gaps and turn them into scalable workflows.
Build internal applications and tools using Lovable and similar platforms.
Own and improve the CRM structure and related workflows.
Build automations and integrations between systems.
Translate business needs into data models, workflows, dashboards and internal tools.
Create clear ownership, handoffs and shared KPIs between teams.