ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We’re looking for a Senior Backend Engineer to join Placer.ai’s core engineering group and build the systems behind one of the world’s largest location-analytics platforms.

In this role, you’ll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If you’re motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.

RESPONSIBILITIES:

• Design, build, and evolve large-scale, distributed backend systems that power Placer.ai’s data and AI products
• Own services end-to-end — from architecture and design to production, monitoring, and continuous improvement
• Drive performance, scalability, and reliability, using data and metrics to guide decisions
• Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
• Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
• Raise the engineering bar through code reviews, design discussions, and technical mentorship

REQUIREMENTS:

• 7+ years of backend engineering experience in high-scale B2B SaaS or data-driven products
• Proven track record building and maintaining production-grade distributed systems
• Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python
• Solid engineering fundamentals: system design, data structures, APIs, testing, and observability
• Hands-on experience with data-intensive systems and complex data pipelines
• BSc in Computer Science or equivalent practical experience

AI Fluency:

• A genuine early adopter of emerging AI technologies — continuously explores new tools and paradigms, integrates them into practice ahead of the curve, and actively drives that culture within their team
• Applies AI tooling to elevate engineering quality: accelerating development cycles, improving code quality, automating repetitive work, and pushing the boundaries of what the team ships
• Raises the bar around them: inspires and challenges peers to think differently about how AI can change the way they build

OTHER REQUIREMENTS: 

• Deep experience with Python and MongoDB
• Experience with Google Cloud data technologies (BigQuery, Bigtable)
• Hands-on with Docker, Kubernetes, and Infrastructure as Code
• Exposure to AI/ML-adjacent systems: data pipelines, feature stores, model serving, or analytics platforms
• Experience integrating or building on top of LLM APIs or AI services
• Familiarity with frontend frameworks or full-stack collaboration

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Hybrid

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

#LI-AC1 May 2026

The role

Nebius is searching for an Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks in Tel Aviv, including wired, wireless, and VPN infrastructure. 

Your responsibilities will include: 

• Work on the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
• Build and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
• Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
• Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
• Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
• Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
• Collaborate with telecom service providers in Israel and globally; lead escalations, manage SLAs, and drive service improvements

We expect you to have: 

• In-depth knowledge of TCP/IP technologies
• Familiarity with dynamic routing protocols
• Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
• Proficiency in Unix system administration
• Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
• Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity

It will be an added bonus if you have: 

• Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
• Experience designing, developing, and operating high-load distributed systems
• Experience building high-density enterprise wireless networks (CWNA level or higher)
• Working knowledge of IPv6

The role

Nebius is seeking a talented Senior Insurance Manager to join our Risk Management team. The role will be responsible for the development, implementation, and ongoing management of Nebius’ global insurance strategy. The role ensures that all company assets, operations, and contractual exposures are adequately protected through effective and efficient insurance programs.

This position plays a critical role in supporting the company’s rapid international expansion, particularly in relation to large-scale AI infrastructure and data center operations.

Your responsibilities will include: 

• Lead the development, placement, and ongoing management of all corporate insurance policies.
• Identify, and assess risks across Nebius’ global assets and operations, with a focus on data center infrastructure
• Ensure that insurance coverage is comprehensive, cost-effective, and aligned with the company’s evolving risk exposure
• Act as the primary point of contact for insurance brokers, insurers, and external advisors
• Map and manage insurance requirements across all jurisdictions in which Nebius operates
• Review and ensure compliance with insurance-related provisions in customer and key vendor contracts
• Oversee and manage insurance claims processes, ensuring timely and effective resolution
• Provide expert guidance and act as the internal focal point for all insurance-related matters across departments
• Continuously evaluate and optimize the company’s insurance strategy in line with business expansion and industry developments

We expect you to have: 

• At least 7 year of experience as a senior/lead insurance within a multinational organization.
• Strong expertise in structuring and managing complex global insurance programs
• Experience in infrastructure, energy, technology, or data center environments is highly preferred
• Deep understanding of international insurance markets, regulatory frameworks, and cross-border risk considerations.
• Proven experience working with brokers, insurers, and external advisors at a strategic level.
• Strong knowledge of contractual risk transfer and insurance requirements
• Excellent stakeholder management, negotiation, and communication skills
• Ability to operate effectively in a dynamic, fast-growing, and international environment

It will be an added bonus if you have: 

• Demonstrates strong ownership and accountability for outcomes.
• Exercises sound judgment in complex and uncertain situations.
• Communicates clearly and translates complexity into business-relevant insights.
• Maintains attention to detail while understanding the broader business context.
• Acts proactively to identify and address risks early.
• Builds collaborative, trust-based relationships in a global environment.

Role Overview

Nebius is seeking a talented Senior Legal Counsel to join our dynamic legal team. In this role, you will support Nebius’ expanding operations across EMEA. You will work closely with our business development teams supporting global investment and M&A transactions, and in addition you will be handling other IL and MEA matters. All to support our fast global growth.

Key Responsibilities

• Draft, review advice and negotiate asset purchase agreements, investment transactions and mergers and acquisitions
• Draft, review advice and negotiate SaaS, Paas and IaaS/HaaS agreements
• Draft, review, advise, negotiate and manage a broad range of commercial agreements
• Draft, review, advise, negotiate on some labor related matters independently or with the aid of external counsels
• Coordinate and manage external counsel to ensure cost-effective, high-quality legal support
• Monitor specific regulatory developments affecting Nebius’ activities
• Collaborate with cross-functional teams to optimize processes and risk management
• Hands-on, diligent, and solution-oriented

Key Qualifications & Experience

• License to practice law in Israel and/or the US
• At about 7 years of relevant experience as a senior associate in a top-tier law firm or as an in-house legal counsel
• B from a top tier university
• Proven experience in the legal work on APAs, M&A transactions and investment transactions (for lead investor)
• Proven experience in supporting Hi Tech companies (in various stages of growth), in various aspects (from labor through corporate)
• Experience in technology agreements SaaS, PaaS and IaaS/HaaS agreements, SLAs T&Cs and the like
• Strong understanding of commercial and corporate law
• Able to work under short deadlines
• Excellent communication and contract negotiation skills in English
• Proactive, pragmatic, and business-oriented approach with the ability to work independently
• Understanding privacy and AI legislation and trends are an advantage

Competencies & Behavioral Traits

• Proactive problem-solving and ownership mindset
• Ability to collaborate across teams and cultures

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

About the role:

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.

Responsibilities:

• Develop and optimize low-level kernels and runtime components for AI inference 

• Improve performance of inference engines GPU platforms 

• Profile and debug system-level and hardware-level performance issues 

• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) 

• Collaborate with ML and backend teams to optimize end-to-end execution 

Required Qualifications:

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management 

• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers 

• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. 

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

• Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU 

• Familiarity with ML inference runtimes (e.g. TensorRT, TVM) 

• Knowledge of Linux internals, drivers, or compiler toolchains 

• Experience with tools like perf, VTune, Nsight, or ROCm profiler 

• Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI) 

We conduct coding interviews as part of the process.

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

Nebius is looking for a Senior Project Manager (Corporate Operations) which will be part of the COO office. In this role, you will manage and implement operational processes across the organization, focusing on the design and continuous improvement of procedures and working methodologies. You will play a key role in ensuring that operational activities align with the company’s contractual obligations by defining and implementing effective controls and monitoring mechanisms.

You will work cross-functionally with internal stakeholders to drive execution, improve efficiency, and ensure compliance with defined standards and requirements derived from the company’s agreements.

You’re welcome to work in our offices in Tel Aviv, Israel.

Your responsibilities will include: 

• Process design & optimization. Manage the design, documentation, and continuous improvement of operational processes and workflows. Identify inefficiencies and implement scalable solutions to enhance performance and consistency.
• Controls & monitoring frameworks. Define, implement, and maintain controls and monitoring mechanisms aligned with operational and contractual requirements. Ensure ongoing tracking, reporting, and escalation of gaps.
• Project execution. Manage operational projects end-to-end, including planning, coordination, execution, and follow-up. Ensure timely delivery and alignment with business objectives.
• Stakeholder coordination. Collaborate with cross-functional teams to align on requirements, drive execution, and ensure clear communication across all involved parties.
• Compliance & governance. Ensure operational processes adhere to internal standards and external obligations derived from company agreements. Support audits and ongoing compliance efforts.

We expect you to have: 

• Minimum 8 years proven experience in project or operations management, with a strong focus on process design and implementation.
• Strong ability to define and implement controls, monitoring frameworks, and governance processes.
• Excellent organizational and problem-solving skills, with the ability to manage multiple initiatives simultaneously.
• Strong stakeholder management and communication skills.
• High attention to detail and a structured, process-oriented mindset.
• Strong communication skills in English

It will be an added bonus if you have: 

• Experience working in regulated environments or with contractual/operational compliance requirements.
• Familiarity with process design and implementation methodologies.
• Experience with project management tools and workflow systems.

The role 

We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.

This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.

The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

• Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
• Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
• Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
• Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
• Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
• Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
• Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.

We expect you to have: 

• 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
• Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
• Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
• Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
• Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
• Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
• Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.

It will be an added bonus if you have: 

• Experience in search, information retrieval, NLP, or adjacent domains.
• Background in API-first or developer-platform businesses with both PLG and enterprise motions.
• Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
• People management or mentoring experience (building the skills of other PMs).

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

About Tavily Team

Tavily team is building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.

The Role: Senior Backend Engineer (Tavily)

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What You’ll Do

• Design and build high-performance distributed systems

• Design and implement backend infrastructure and API endpoints

• Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

• Improve performance, monitoring, and reliability across the stack

• Own core systems and contribute to key architectural decisions

• Help shape a strong engineering culture focused on velocity and quality

What You Bring

• 5 years of professional software engineering experience

• Strong backend development skills

• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

• Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments

• Comfortable in a fast-paced startup environment with lots of ownership

• Strong sense of ownership and accountability over outcomes

• Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology

• Based in Tel-Aviv or open to relocating

Nice To Have

• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools

The Role

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.

As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What You’ll Do

• Build distributed data acquisition systems that capture and structure the live web
• Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
• Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
• Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
• Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
• Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
• Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction

What We’re Looking For

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
• Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
• Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
• Solid understanding of browser internals, network protocols, and web interaction mechanisms
• Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
• Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
• Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
• Excellent documentation and communication skills to ensure smooth integration and operational visibility

Nice to Have

• Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
• Experience integrating AI or retrieval systems into production pipelines

The role

We’re looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have: 

• 5+ years of professional software engineering experience;
• Knowledge of C++ programming language;
• Knowledge of Python, Java, and Go is a plus;
• Ability to write reliable code and dig into complex problems;
• Teamwork-oriented approach;
• Fluency in English.

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

The role

As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets.

Travel: This position may require on-site presence at data centers during key deployment phases.

Your responsibilities will include: 

• Lead end-to-end delivery of new data center programs, from design through handover to operations.
• Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
• Translate business and technical requirements into actionable project plans and measurable deliverables.
• Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
• Provide structured program reporting, including dashboards, documentation, and executive updates.

We expect you to have: 

• 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments.
• Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed.
• Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments.
• Communication and stakeholder management skills; able to translate complex topics clearly.
• Leadership by influence and example in cross-functional or matrixed teams.
• Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall).

It will be an added bonus if you have: 

• Understanding of construction projects structure and key risk factors in facility build-outs.
• Knowledge of HPC
• Experience in business processes design or automation tools development.
• PMP, PRINCE2, or similar industry certifications.

• 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
• Fluent in speaking Hebrew
• Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.
• Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.
• Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.
• Excellent communication, stakeholder management, and analytical skills.
• Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.

The role

Nebius is looking for a highly technical, hands-on SIEM Engineer Lead to design, implement, and optimize advanced Security Information and Event Management (SIEM) capabilities. This role is responsible for developing detection strategies, improving security visibility, and driving automation across security operations processes. The ideal candidate will combine deep SIEM expertise with strong analytical and engineering skills to enhance threat detection, incident response efficiency, and security monitoring maturity. This is not a people management position, you will provide technical guidance, mentorship, and direction to SOC analysts, security engineers, and cross-functional teams

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Architect, deploy, and maintain enterprise SIEM platforms and related security monitoring infrastructure.
• Develop and optimize detection rules, correlation logic, and alert mechanisms to identify security threats and anomalous activity.
• Design and implement log ingestion pipelines, normalization, and enrichment processes across diverse data sources.
• Continuously improve detection coverage by analyzing threat intelligence, attacker techniques, and emerging vulnerabilities.
• Create and maintain dashboards, reports, and metrics to support security visibility and operational decision-making.
• Drive automation of security monitoring and response workflows using scripting, APIs, and orchestration tools.
• Perform tuning and performance optimization of SIEM platforms to ensure scalability and reliability.
• Conduct threat hunting activities and support complex security investigations using SIEM data.
• Collaborate with engineering, infrastructure, and security stakeholders to integrate new log sources and telemetry.
• Develop documentation, standards, and best practices for SIEM configuration, logging, and detection engineering.
• Create APIs and interfaces that enable AI agents to query SIEM, pull evidence, and execute actions

We expect you to have: 

• 5+ years of experience in cybersecurity with strong focus on SIEM engineering or security monitoring.
• Hands-on experience with SIEM platforms such as Splunk, Microsoft Sentinel, QRadar, CrowdStrike, Elastic, or similar.
• Strong knowledge of log analysis,event correlation, and detection engineering.
• Experience with data pipelines, log parsing, and schema design.
• Experience with SOAR platforms and security automation.
• Experience with scripting or programming (e.g., Python, PowerShell, Bash) for automation and integrations.
• Solid understanding of network protocols, operating systems, cloud environments, and common attack techniques.
• Familiarity with frameworks such as MITRE ATT&CK, NIST, or CIS for detection mapping and security controls.
• Experience integrating threat intelligence and security tools with SIEM platforms.
• Knowledge of cloud logging and monitoring (AWS, Azure, GCP).
• Strong knowledge of Kubernetes architecture and security concepts
• Experience with Terraform, CI/CD pipelines and Detection as code workflow

It will be an added bonus if you have: 

• Experience building and deploying LLM-based AI agents
• Experience in transitioning from manual SOC to AI-augmented operations.
• Relevant security certifications
• Certification in cloud computing, including administration, development, engineering, or architecture.
• Knowledge of AI safety and reliability - guardrails, validation, human oversight mechanisms

The role

Nebius is looking for a Supply Chain Security Coordinator to support the security of high-value assets across our global supply chain operations. This role sits within the Supply Chain department and plays a critical part in coordinating security activities across internal teams and external partners worldwide.

You’re welcome to work in our offices in Tel Aviv, Israel.

Your responsibilities will include: 

• Coordinate supply chain security operations across international stakeholders, including logistics providers, vendors, and internal teams
• Act as a central operational control point of contact for security-related matters across global supply chain activities
• Track task progress across multiple stakeholders and ensure timely completion
• Identify operational gaps, delays, or risks and proactively drive resolution
• Ensure consistent communication and alignment between internal and external functions
• Support secure movement of high-value goods across regions
• Escalate and manage security incidents in coordination with relevant teams
• Support the implementation and continuous improvement of supply chain security processes and protocols
• Maintain clear and professional communication across multiple time zones

We expect you to have: 

• High level of English proficiency (spoken, written, and reading) is required; native-level English is an advantage
• Strong communication skills with the ability to coordinate across diverse, international teams
• Confident and assertive personality with the ability to take ownership and drive actions
• Team player with strong interpersonal skills
• Strong attention to detail and high level of accuracy
• Ability to break down complex processes into structured tasks
• Proven ability to manage multiple concurrent workflows and stakeholders
• High level of ownership with an execution-oriented mindset
• Ability to work under pressure in a fast-paced operational environment
• High availability and responsiveness

It will be an added bonus if you have: 

• Previous experience in a Security Operations Center (SOC), command center, or similar operational environment
• Background in supply chain, logistics, or security coordination roles
• Experience working in a fast-paced, international environment

Working Conditions

• Work across global time zones (Europe & US), including non-standard hours when required
• High-paced, operational environment requiring constant situational awareness
• Role requires availability and responsiveness outside standard working hours when needed

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

Your responsibilities will include: 

• Management and delivery of IT infrastructure projects, change requests in data centers

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

• Maintain clear operational documentation, including plans, risk logs, and issue trackers.

• Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

• Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

• Collaborate with cross-functional teams.

• Engage directly with data center engineers, vendors, and operations teams.

• Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

• Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

• Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

• Hands on experience working with IT hardware in data centers.

• Be comfortable in data center environments and during live operations.

• Experience in project delivery, team management, cross team collaboration

• Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

• Ability to document processes, maintain tracking systems, and produce clear deployment reports.

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

• Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

• Relevant technical certifications 

• In depth technical knowledge of GPU servers, compute nodes, high-speed networking

• Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
• Implement asset management processes to track the full lifecycle of assets.
• Review and refine logistics/warehousing processes to identify areas for improvement.
• Set up and manage equipment certification processes to meet operational and regulatory requirements.
• Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
• Manage insurance for assets, including claims, renewals and risk mitigation strategies.
• Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
• Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
• Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.

• 3-5 years of experience in logistics or logistics project management.
• Familiarity with logistics management systems, ERP software and asset-tracking tools.
• Strong project management skills with the ability to manage multiple tasks and priorities.
• Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
• Strong attention to detail and organizational skills.

The role

We’re looking for a Business Development Representative, who will be the first point of contact for leading companies across Israel exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in Israeli markets.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

Territory & Account Penetration

• Collaborate with AEs to map and prioritize target accounts across Israel, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings.

Inbound Lead Qualification

• Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs.

Customer & Market Engagement

• Conduct qualification calls to uncover customer pain points, technical requirements, and budget.
• Represent Nebius at key European tech events, book on-site meetings, and follow up to maximize ROI.

Feedback & Continuous Improvement

• Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing.
• Monitor outreach metrics—open rates, reply rates, connect rates—and collaborate with Sales Ops to optimize cadences and scripts.
• Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively.

We expect you to have: 

Language & Market Expertise:

• Fluent English and Hebrew is required, both written and verbal.
• 2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting Israeli markets.

Technical & Sales Skills:

• Strong understanding of GDPR and local data-privacy regulations.

Soft Skills & Mindset:

• Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment.
• Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability.
• Collaborative team player comfortable operating in a hybrid office model.

It will be an added bonus if you have: 

•   Familiarity with HubSpot CRM and sales engagement tools such as Outreach.

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The team

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects. You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.

Your role involves leading a team that works directly with cutting-edge technologies. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.

Your responsibilities will include: 

• Manage IT support team to achieve KPI in IT infrastructure support and project planning.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
• Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
• Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
• Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).

We expect you to have: 

• 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
• A solid understanding of data center operations, as well as server and network equipment principles.
• Practical experience in project planning and management.
• Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
• Basic proficiency in the Linux operating system and familiarity with command-line tools.
• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
• Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have: 

• ITIL and/or PMI certification.
• Driving License (Category B)

The team  

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects. You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.

Your role involves leading a team that works directly with cutting-edge technologies. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.

Your responsibilities will include: 

• Manage IT support team to achieve KPI in IT infrastructure support and project planning.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
• Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
• Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
• Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).

We expect you to have: 

• 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
• A solid understanding of data center operations, as well as server and network equipment principles.
• Practical experience in project planning and management.
• Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
• Basic proficiency in the Linux operating system and familiarity with command-line tools.
• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
• Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have: 

• ITIL and/or PMI certification.
• Driving License (Category B)

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

You’re welcome to work in our office in Modiin, Israel.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2  IT Technician with Project Management experience to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer with a focus on IT Projects and relevant activities. This role aims to provide not only support in troubleshooting of high-performance server hardware, including GPU clusters, but also implementations of additional infrastructure components on production sites.

Apart from being involved in resolution of complex hardware incidents, proactive handling of L1/L2 support via the ticketing system, you will work in collaboration with the Technical Project Manager. This role expects from candidates to have advanced technical experience in pair with some project management experience allowing to move the projects further, identify specific risks, participate in implementation with support of 3rd parties.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with Technical Project Manager on current projects

• Participate in technical projects implementations

• Oversee 3rd party contractor activities during project implementations

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Basic understanding of Project Management methodologies

• Basic understanding of Project Management tools (JIRA, Gantt charts)

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Proven project management experience in IT Infrastructure domain

• Bachelor degree in Computer Science

• Driving license type B

The Role

As a Regional IT Operations Manager, you will be responsible for the overall performance, reliability, and continuous improvement of data center IT operations within a dedicated region. You will provide strategic and operational leadership to multiple Data Center IT Managers, ensuring consistent service delivery, high availability of infrastructure, and alignment with business objectives.

This role requires a strong leader with hands-on experience in data center environments, capable of balancing day-to-day operational excellence with regional planning, standardization, and optimization of IT processes.

You will act as the key escalation point for regional IT operations, driving best practices, operational maturity, and cross-site collaboration.

Key Responsibilities

• Lead, mentor, and manage Data Center IT Managers across the assigned region.

• Establish clear goals, KPIs, and performance expectations aligned with global IT operations strategy.

• Ensure consistent implementation of operational standards, procedures, and best practices across all regional data centers.

• Act as the senior escalation point for critical incidents and operational risks within the region.

• Oversee regional IT infrastructure operations, including servers, networking equipment, storage systems, and supporting hardware.

• Ensure high availability, reliability, and performance of mission-critical systems, including GPU clusters and high-density environments.

• Monitor operational health and capacity across sites, proactively addressing risks and bottlenecks.

• Review major incidents and root cause analyses, driving corrective and preventive actions.

• Govern regional change activities related to hardware installation, upgrades, decommissioning, and migrations.

• Promote automation, standardization, and documentation across data center IT operations.

• Collaborate with internal stakeholders, global IT teams, and external vendors or colocation partners.

• Ensure compliance with contractual obligations and operational SLAs

• Provide regular reporting on regional performance, risks, capacity, and improvement initiatives to senior management.

• Ensure adherence to security, safety, and compliance requirements within data center environments.

We Expect You to Have

• Experience managing multi-site or regional data center operations.

• 8+ years of experience in data center IT operations, including hands-on infrastructure support.

• 5+ years of proven people management experience, leading managers or large technical teams.

• Familiarity with high-performance computing (HPC) or GPU-based environments.

• Strong background in server hardware, enterprise networking equipment, and data center technologies.

• Solid understanding of data center operations, lifecycle management, and support models.

• Practical experience in project planning, execution, and cross-site coordination.

• Knowledge of ITIL / ITSM practices and operational support processes.

• Experience with IT asset management processes and RMA.

• Excellent leadership, communication, and decision-making skills.

• Strong analytical mindset with the ability to assess risks and drive data-driven improvements.

It Will Be an Added Bonus If You Have

• ITIL, PMI, or similar professional certifications.

• Driving License (Category B).

Summary: 

Locations: Finland, Israel
Duration: 2-3 months
Start date: June 2026 
Compensation: Paid
Eligibility: Current college/university student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

Role description 

As an IT Datacenter Technician Intern, you will learn to play a vital role in maintaining and optimizing IT infrastructure within our data centers. This includes working hands-on with modern GPU cloud cluster technologies. Your responsibilities will involve learning how to support data center IT infrastructure, troubleshoot and resolve hardware issues, perform physical hardware repairs, and ensure the smooth operation of critical systems.

This is a shift-based role and provides an opportunity to become a full-time Nebius L1 IT Technician.

Skills you will learn: 

• Diagnosing and resolving issues related to IT hardware, while ensuring continuous support of the data center’s IT infrastructure.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Installing, upgrading, and dismantling hardware based on operational requests and requirements.
• Managing and maintaining the connectivity of fiber optic cables and patch cords.
• Planning, executing, and monitoring regular IT tasks to maintain and improve infrastructure operations.
• Processing Return Merchandise Authorizations (RMAs) in compliance with established manuals and procedures.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting, and maintenance.
• Collaborating cross-functionally with other teams.

We expect you to have: 

• Enrollment in or recent graduation from an accredited college, university, or technical school with a focus on Information Technology, Computer Science, Engineering, or a related field.
• Be at least 18 years old by the internship start date.
• Be eligible to work in the country where the position is located, without requiring sponsorship.
• A demonstrated strong interest and foundational knowledge in IT data center operations, networking, hardware, and software.
• The ability to comply with all safety, security, and confidentiality policies of the IT data center.
• Availability to commit to the full internship duration (minimum of 8 weeks, full-time).

What we offer:

• Competitive salary and comprehensive benefits package.
• Mentorship from experienced infrastructure professionals.
• Hands-on experience with real workloads and systems.
• A dynamic and collaborative work environment that values initiative and innovation.
• Opportunity to be considered for a full-time role after the Early Talent Program.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The Role

We are looking for a IT Support Manager in our data center, the key person in managing IT infrastructure maintenance. You will manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters. This role is focused on ensuring stable, efficient, and scalable operations through people leadership, structured support processes, and hands-on technical oversight.

You will own day-to-day IT support operations, oversee maintenance and incident resolution for GPU clusters, and ensure high service levels across hardware, network, and field support activities. You will act as a key escalation point, drive operational improvements, and align support execution with broader data center objectives.

Your responsibilities will include

• Lead and manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters and region IX colocations.

• Ensure high availability and reliability of GPU clusters and IT infrastructure

• Act as the primary escalation point for complex hardware, network, and operational incidents

• Monitor and drive SLA, KPI, and incident resolution performance across IT support services

• Oversee proactive maintenance, troubleshooting, and problem management activities

• Collaborate with infrastructure engineers, vendors, and colocation partners to resolve issues and deliver improvements

• Maintain and improve support processes, documentation, and team training materials

• Manage IT asset lifecycle activities, relates to responsibility area, including RMAs

We Expect You to Have

• 3+ years of experience managing technical support teams in a data center or similar critical infrastructure environment.

• Strong hands-on background in diagnosing and resolving server hardware issues, including GPU-based systems, fiber networks.

• Solid understanding of data center operations, server platforms, and enterprise networking principles.

• Practical experience with IT service management processes (ITIL / ITSM).

• Basic proficiency with Linux/Unix operating systems and command-line tools.

• Proven ability to manage operational KPIs, incidents, and escalations.

• Analytical skills

• Proactive mindset, strong sense of ownership, and the ability to lead teams in high-pressure environments.

• High proficiency in spoken and written English.

It will be an added bonus of you have: 

• Relevant certifications and trainings

Role Overview

Nebius is seeking a Detection & Response Manager to lead and mature our security operations and adversary defense capabilities.

This role owns SOC operations, incident response, red teaming, and security automation (SIEM & SOAR) across cloud, data center, and enterprise environments.

The ideal candidate combines operational excellence, threat-adversary thinking, and automation-first execution.

Key Responsibilities

Security Operations Center (SOC) Leadership

• Own day-to-day SOC operations across cloud, data center, and corporate environments

• Define detection strategy aligned to Nebius threat models and crown jewels

• Ensure high-quality alerting, triage, escalation, and reporting

• Continuously reduce false positives and alert fatigue

Incident Response & Crisis Management

• Lead end-to-end incident response for high-severity security incidents

• Own incident command during crises (technical, executive, and regulatory coordination)

• Ensure post-incident reviews lead to real control improvements

• Maintain and regularly test incident response playbooks

Red Team & Adversarial Testing

• Manage red team and purple team activities (internal and external)

• Translate real-world adversary TTPs into detection and response improvements

• Ensure findings from red team exercises are remediated and verified

• Partner with product, cloud, and physical security teams on attack simulations

SOC Automation (SIEM & SOAR)

• Own SIEM and SOAR strategy, architecture, and roadmap

• Drive automation of detection, enrichment, response, and reporting

• Integrate identity, cloud, CI/CD, and physical security telemetry

• Measure SOC effectiveness using MTTD, MTTR, and coverage metrics

Threat Intelligence & Continuous Improvement

• Operationalize threat intelligence into detections and playbooks

• Track emerging threats relevant to cloud, AI, and infrastructure providers

• Continuously improve detection coverage against prioritized attack paths

What Success Looks Like (12 Months)

• Measurable reduction in MTTD and MTTR for high-severity incidents

• Majority of high-risk incidents detected internally, not externally

• Red team findings consistently detected and contained

• SOC automation meaningfully reduces manual effort

• Clear, trusted security reporting to CISO and leadership

Required Qualifications

• 7+ years in security operations, incident response, or threat detection

• Proven experience leading a SOC or incident response function

• Strong experience with SIEM and SOAR platforms

• Deep understanding of:

• Cloud security 

• Identity-based attacks and detection

• Endpoint, network, and application telemetry

• Experience running or managing red team / purple team activities

• Calm, decisive leadership under pressure

Preferred Qualifications

• Experience in cloud service providers, hyperscale, or infrastructure companies

• Familiarity with GPU / HPC environments or large-scale data centers

• Experience with DORA, SOC 2, ISO 27001 incident requirements

• Background in threat hunting or offensive security

Key Skills & Attributes

• Adversary-minded: thinks like an attacker, not a tool operator

• Automation-first mindset

• Strong communicator during crises

• Data-driven decision making

• High ownership, low ego

Why Nebius

• Defend one of the most advanced AI and GPU cloud platforms

• Influence security architecture at scale

• Operate at the intersection of cloud, physical infrastructure, and regulation

• Build a modern, high-impact detection & response function

The role 

The Executive Support IT Engineer will provide white-glove, high-touch technical support to senior leadership, including C-level executives. This role requires a polished professional with exceptional technical expertise, discretion, and the ability to thrive in high-pressure environments with little to no direction. The engineer will serve as the primary point of contact for executive technology needs, ensuring seamless productivity, communication, and security across devices, applications, and collaboration platforms.

Note: Due to the nature of this role, there will be moments where a traditional work week or hours will not apply. We will always strive to achieve meaningful work/life balance, but that will be dictated by the needs of the given moment. A flexible schedule and the ability to travel is a necessity.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include:

• Deliver personalized IT support for executives including; but not limited to; troubleshooting, system setup, and proactive maintenance for laptops, mobile devices, AV systems, and collaboration tools.

• Provide rapid response to critical technical issues impacting executives, ensuring minimal disruption to business operations.

• Support executive meetings and events, including video conferencing, telepresence, and boardroom AV technology.

• Maintain and configure executive devices (Windows, macOS, iOS, Android), ensuring compliance with corporate IT policies and security standards.

• Partner closely with IT leadership, security teams, and external vendors to escalate and resolve complex issues efficiently.

• Develop executive-friendly documentation and quick reference guides for common workflows and tools.

• Anticipate technology needs and proactively recommend improvements to enhance executive productivity.

• Support executive travel by ensuring mobile, remote connectivity and collaboration tools function securely worldwide.

• Handle sensitive and confidential information with the highest degree of professionalism and discretion.

It will be an added bonus if you have:

• Exhaust all possible scenarios within their access level when attempting to resolve an issue
• Proactively seek feedback from peers, mentors, and leaders
• Exhibits prideful ownership of work and proactively champions the needs of the team, users, and projects
• Contribute to continuous service improvement by participating in projects and driving operational enhancements.
• Build meaningful and fruitful relationships within the team and cross functionally
• Fearlessly seek improvement personally, within processes, and within the team’s culture

We expect you to have:

• Education: Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience).

• Experience: 5+ years in IT support roles, with at least 2 years supporting executives or VIPs in a corporate environment.

• Technical Expertise:

  • Strong proficiency with Microsoft 365, Exchange, Teams, Zoom, and other collaboration platforms.

  • Advanced troubleshooting skills for Windows, macOS, iOS, and Android.

  • Familiarity with AV conferencing technologies (Cisco, Polycom, Zoom Rooms, etc.).

  • Understanding of networking fundamentals (VPN, Wi-Fi, firewalls, mobile hotspots).

  • Experience with enterprise security protocols (MFA, MDM, encryption).

• Soft Skills:

  • Exceptional communication and customer service skills with a high degree of professionalism.

  • Ability to work under pressure and manage multiple priorities simultaneously.

  • Discretion and integrity when handling sensitive information.

  • Flexible and adaptable, with the ability to support executives outside normal business hours if needed.

• Key competencies:

  • High emotional intelligence and ability to work effectively with executives.

  • Strong problem-solving and critical-thinking abilities.

  • Proactive mindset with a focus on continuous improvement.

  • Commitment to confidentiality and data security.

The role 

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

As a Field Deploy Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.

You’re welcome to work in our colocation in Israel.

Your responsibilities will include: 

Planning & Coordination

• Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.

• Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.

• Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.

On-Site Delivery & Installation

• Supervise racking, cabling, and powering of hardware equipment.
• Ensure configuration, firmware upgrades, and integration with management systems follow standards.
• Work closely with vendors, contractors, and local staff during the installation phase.

Quality & Readiness

• Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
• Document installation steps, asset data, and lessons learned for future rollouts.
• Establish and maintain best practices for safe, efficient hardware deployment.

Collaboration & Reporting

• Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
• Support transition of deployed hardware to operations teams for steady-state management.
• Contribute feedback to improve hardware design and deployment playbooks.

We expect you to have: 

• 3+ years' experience in data center, hardware, or IT field delivery roles.

• Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).

• Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.

• Proven track record coordinating deployments across multiple stakeholders and vendors.

• Ability to read and interpret technical documentation, layouts, and wiring diagrams.

• Ability to perform deep diagnostics across hardware, firmware (BIOS/BMC), and Linux (logs, drivers, storage stack basics, performance triage).

• Excellent organizational, communication, and problem-solving skills.

• Willingness to travel frequently (sometimes at short notice).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).

• Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Familiarity with change management, asset tracking, and quality-assurance processes.

• Understanding of health, safety, and environmental standards in datacenter or industrial settings.

The role 

We are seeking a reliable, tech-savvy, and customer-focused Tier 1 Help Desk Technician to join our IT team. This position is responsible for providing first-level support for end-user IT issues, including hardware, software, and basic networking problems. The role is fully on-site (5 days a week) and requires a hands-on approach to assisting employees with day-to-day technical issues and setups.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include:

• Serve as the first point of contact for users seeking technical assistance in person, messaging, ticket, or email.
• Log, categorize, and prioritize all incoming support requests in the IT ticketing system.
• Analyze, troubleshoot, resolve and document a broad scope of hardware, software, and peripheral issues (e.g., printers, monitors, network).
• Assist with user account creation, password resets, and access permissions in Active Directory and other enterprise systems.
• Install, configure, and maintain desktop/laptop computers, mobile devices, and software applications.
• Escalate complex or unresolved issues to Tier 2/3 support in a timely manner.
• Maintain and update asset inventory records.
• Facilitate and support seamless onboarding and off-boarding processes, including workstation setup, re-imaging and return.
• Follow standard procedures for proper escalation and ticket closure.
• Provide excellent customer service by ensuring timely and clear communication with end users.
• Extensively document actions taken and suggested resolutions in detail.
• Actively contribute to IT knowledge base.
• Assist with regular IT maintenance tasks, such as software updates and hardware checks (for both user endpoints and office infrastructure).
• Ensure compliance with company IT policies and procedures.

It will be an added bonus if you have:

• Exhaust all possible scenarios within their access level when attempting to resolve an issue
• Proactively seek feedback from peers, mentors, and leaders
• Exhibits prideful ownership of work and proactively champions the needs of the team, users, and projects
• Contribute to continuous service improvement by participating in projects and driving operational enhancements.
• Build meaningful and fruitful relationships within the team and cross functionally
• Fearlessly seek improvement personally, within processes, and within the team’s culture

We expect you to have:

• An IT customer support background with 4+ years of service desk technical experience.
• Advanced troubleshooting skills in AV systems, Microsoft Azure, Microsoft 365 (including Office 365), networking, software and MDM administration, along with experience managing enterprise applications such as Slack, Jira, Zoom, and similar tools.
• Technical documentation and knowledge base (KB) writing skills.
• Hands-on experience with Jira or comparable service management systems.
• A customer-first mindset, prioritizing employee satisfaction and support quality.
• The ability to independently resolve technical issues across the support portfolio.
• Strong organizational skills with the capacity to effectively prioritize and manage a busy workload.
• A collaborative spirit, working seamlessly with cross-functional team members to meet employee needs and achieve company goals.

The role 

We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.

This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.

You’re welcome to work in our data center in Israel.

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

• Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).

• Detect recurring patterns across sites and convert findings into durable fixes.

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

• Build evidence packs and drive escalations with ODM and R&D.

• Push for firmware, component, and platform-level resolutions.

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

• Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

• Create scalable runbooks, troubleshooting guides, and error catalogs.

• Turn investigations into playbooks that elevate L1/L2 teams.

Hands-on Support (As Needed)

• Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.

We expect you to have: 

• Strong hands-on experience with datacenter servers and deep Linux troubleshooting.

• Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).

• Structured incident response experience and clear communication under pressure.

• Experience driving evidence-based escalations with vendors/R&D.

• Fluent English (written and spoken).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).

• Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Experience supporting enterprise bare metal customers under contractual SLAs.

About Tavily Team

Tavily team is building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.

The role 

We are looking for an outstanding and diligent Technology Commercial Legal Counsel with an excellent track record, a strong work ethic, and exceptional attention to details to join our dynamic Legal team based in Tel Aviv.

You will take ownership of drafting, reviewing, and negotiating critical worldwide agreements that underpin Tavily’s business operations, while ensuring our compliance with global privacy and data protection regulations.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

• Draft, review, and negotiate a wide range of commercial agreements, including customer, vendor, consulting, referral, reseller and NDAs.
• Support and enhance Tavily’s privacy and data protection program, ensuring compliance with applicable regulations such as the GDPR, CCPA, and other global standards.
• Review and negotiate DPAs and provide ongoing legal guidance on privacy matters.
• Partner with cross-functional teams, including Product and R&D, to identify legal needs and implement best practices.
• Draft employment-related documents and advise on employment law matters.
• Provide legal support on corporate matters.
• Collaborate with stakeholders across the company to assess legal risk and develop practical mitigation strategies.

We expect you to have: 

• Bar admission in the U.S., EU or Israel.
• LL.B. or equivalent law degree, from a top-tier university.
• 3-6 years experience post internship/trainee program, practicing commercial and privacy law, at both leading law firm and as in-house counsel at a tech company.
• Strong experience in drafting and negotiating technology commercial agreements (including DPAs).
• Experience with global privacy regulations (such as the GDPR, CPRA, U.S. state privacy laws).
• Experience with U.S. copyright and intellectual property laws.

It will be an added bonus if you have: 

• Familiarity with global AI regulations
• Experience in corporate or employment law
  
  

The Role

We are seeking a detail-oriented and experienced Regional Asset Manager to oversee the management of our Data Center IT infrastructure assets. You will play a crucial role in ensuring efficient utilization, tracking, and management of IT equipment to support operational excellence in IT department.

Key Responsibilities:

• Be responsible for an inventory database for all IT assets, including servers, storage systems, networking equipment including data center IT components like GPUs, transceivers and many more.

• Conduct regular audits of physical and virtual assets to ensure accuracy and compliance with company policies.

• Manage the entire lifecycle of IT assets from procurement through deployment, maintenance, and eventual disposal.

• Manage RMA process for GPUs, Motherboard, Power supplies, and many more data centre components.

• Generate regular reports on asset utilization, performance metrics, and financial analysis related to the IT infrastructure.

• Analyze trends and provide recommendations for optimizing asset performance and reducing costs.

• Establish and enforce policies regarding asset management practices, including security, compliance, and risk management.

• Ensure adherence to industry standards and regulations concerning IT asset management.

• Work closely with IT departments, project managers, and other stakeholders to support projects and initiatives requiring asset allocation.

• Communicate asset status and potential issues to senior management and relevant teams effectively.

• Identify opportunities for process improvements in asset tracking, reporting, and life cycle management.

Requirements:

• Bachelor’s degree in Information Technology, Business Administration, or a related field.

• Proven experience in asset management, particularly within IT equipment assets.

• Strong understanding of IT infrastructure components and asset management tools.

• Excellent analytical, organizational, and problem-solving skills.

• Strong communication and interpersonal skills.

• Strong written and spoken fluency in English

• Excel at the advanced level (pivot tables, formulas, lists, graphs).

• Experience with budgeting and financial forecasting related to IT assets.

• Readiness for business trips.

It will be an added bonus if you have:

Relevant certifications like IAITAM CHAMP or equivalent.

The role

Nebius is looking for an experienced Security Architect Manager to join the Cyber Security organization, reporting to the Head of Security Engineering uner the CISO.

This role is responsible for leading the organization’s security architecture across corporate networks and cloud environments, ensuring secure design and implementation of enterprise infrastructure at scale.

The ideal candidate combines deep expertise in network and cloud security with strong leadership capabilities. You will define and drive security architecture across hybrid environments, working closely with IT, Infrastructure, Network, DevOps, and Security teams to ensure robust, scalable, and resilient security controls.

Your responsibilities will include: 

• Lead and manage the security architecture domain, including security architects and/or senior engineers.
• Define and maintain security architecture standards, guidelines, and reference designs across corporate and cloud environments.
• Act as the primary authority on enterprise security architecture across networks, identity, endpoints, and cloud platforms.
• Design and evolve secure enterprise network architectures, including segmentation, Zero Trust, and hybrid connectivity.
• Define and enforce security controls for corporate networks, data centers, and remote access solutions (ZTNA, proxies, NAC).
• Lead architecture and selection of network security technologies (e.g., firewalls, secure gateways, access control solutions).
• Lead security architecture across cloud platforms and hybrid environments.
• Define secure reference architectures for cloud networking, identity, and workload protection.
• Ensure proper implementation of cloud security controls, including IAM, segmentation, encryption, and monitoring.
• Define security architecture for endpoints and identity, including EDR/XDR, device hardening, SSO, MFA, and privileged access.
• Ensure secure baseline configurations and access control mechanisms across corporate and cloud environments.
• Identify architectural risks and security gaps and drive mitigation strategies across infrastructure and cloud environments.
• Establish and enforce architecture review processes and governance for new systems and changes.
• Collaborate with SOC, Vulnerability Management, IT, and Infrastructure teams to improve overall security posture.
• Contribute to the cyber security strategy and roadmap, including adoption of modern models such as Zero Trust.

We expect you to have: 

• 7+ years of experience in cyber security, with a strong focus on network and cloud security.
• 2+ years of experience leading or managing security architects or senior security engineers.
• Deep expertise in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.).
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and cloud security best practices.
• Strong understanding of identity and access management (IAM), Active Directory / Entra ID, and privileged access controls.
• Experience securing hybrid environments (on-premise + cloud).
• Hands-on experience with enterprise security technologies (e.g., Palo Alto, Check Point, Cisco, Zscaler, CrowdStrike, Microsoft Defender).
• Strong understanding of Zero Trust architecture principles.
• Experience working cross-functionally with IT, Infrastructure, Network, DevOps, and Security teams.
• Excellent analytical, problem-solving, and communication skills in English.

It will be an added bonus if you have: 

• Experience designing and implementing Zero Trust or network segmentation programs.
• Familiarity with cloud-native security tools (e.g., Wiz, Prisma Cloud, Defender for Cloud).
• Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.).
• Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.).
• Experience in large-scale enterprise or high-growth environments.
• Relevant certifications such as CISSP, CCSP, or equivalent.
• BSc in Computer Science, Information Security, or a related field.

The role

Nebius is looking for a an experienced SOC Manager to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO.

This role is responsible for leading the organization’s Security Operations Center (SOC), overseeing 24/7 monitoring, detection, and response activities across cloud, infrastructure, SaaS, and enterprise environments.

The ideal candidate is both operationally strong and strategically minded, with hands-on experience in security operations, incident response, and team leadership. You will drive continuous improvement of detection and response capabilities while ensuring effective collaboration with Security, DevOps, Infrastructure, and Engineering teams.

 You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

SOC Operations Leadership

• Lead and manage day-to-day SOC operations, including monitoring, detection, triage, and incident response.
• Oversee security alerts and incidents across SIEM, EDR/XDR, cloud security, and other detection platforms.
• Ensure timely and effective response to security incidents in accordance with defined SLAs and severity levels.
• Manage SOC analysts (internal or external), including task prioritization, shift coverage, performance, and professional development.

Incident Response & Handling

• Own the full incident response lifecycle: detection, analysis, containment, eradication, and recovery.
• Act as the primary escalation point for complex or high-severity security incidents.
• Coordinate cross-functional response efforts with Security, IT, DevOps, Infrastructure, and Engineering teams.
• Ensure proper documentation, incident tracking, and execution of post-incident reviews (lessons learned).

Detection, Monitoring & Improvement

• Continuously improve detection capabilities, including development and tuning of use cases and alerting rules.
• Reduce false positives while increasing detection coverage, accuracy, and operational efficiency.
• Drive onboarding of new log sources and security telemetry into SIEM and monitoring platforms.
• Promote automation and orchestration (SOAR) to improve response times and reduce manual effort.

Governance, KPIs & Reporting

• Define, track, and report on SOC KPIs such as MTTD, MTTR, alert volumes, and incident trends.
• Build and maintain dashboards and executive-level reporting for the CISO and senior leadership.
• Develop and maintain SOC playbooks, runbooks, and standard operating procedures.
• Support audits, compliance activities, and alignment with security frameworks and policies.

We expect you to have: 

• 5+ years of experience in cyber security operations, SOC, or incident response roles.
• 2+ years of experience managing or leading SOC teams (internal or MSSP).
• Hands-on experience with SIEM platforms (e.g., Splunk, Sentinel, QRadar) and EDR/XDR tools.
• Strong understanding of incident response processes and security operations workflows.
• Experience working in cloud environments (AWS, GCP, Azure) and modern infrastructure.
• Strong analytical and problem-solving skills with high attention to detail.
• Experience working cross-functionally with Security, DevOps, IT, and Engineering teams.

It will be an added bonus if you have: 

• Experience building or scaling SOC capabilities in a growing organization.
• Familiarity with SOAR platforms and security automation.
• Knowledge of threat intelligence and threat hunting methodologies.
• Experience working within a CISO organization or Security PMO.
• Familiarity with regulatory frameworks (ISO 27001, SOC 2, NIST, etc.).
• Background in SaaS, cloud-native environments, or large-scale enterprise systems.
• BSc in Computer Science, Information Security, or a related field.

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

The role

Nebius is looking for a Senior Data & Business Analyst to lead analytics and business health indicators across our operational and company-wide domains. This is a senior individual contributor role combining strategic thinking, deep hands-on analytical execution, and strong cross-functional business partnership. You’re welcome to work in our office in Tel Aviv.

The role requires the ability to operate at two levels simultaneously: understanding the full business picture while diving deep into complex datasets and technical execution. You will work closely with Operations, Finance, and other cross-functional teams to improve efficiency, transparency, and decision-making across the organization.

Your responsibilities will include: 

• Own end-to-end analytics for core operational processes.
• Define, build, and maintain company-level operational and business health KPIs.
• Translate ambiguous, cross-functional business questions into structured analytical frameworks.
• Write advanced, high-performance SQL to extract, model, and analyze complex datasets.
• Lead deep-dive analyses to uncover operational inefficiencies, financial impact, and process gaps.
• Connect data across systems and explain upstream and downstream business impact.
• Independently identify high-impact problems worth solving, not only respond to requests.
• Drive cross-functional analytical initiatives at a company-wide level.
• Present insights, trade-offs, and recommendations to senior leadership.
• Synthesize complex findings into concise executive-level narratives.
• Influence decisions and drive measurable impact based on data.
• Act as a central analytical partner across multiple business domains.
• Lead initiatives and move stakeholders forward without direct authority.

We expect you to have: 

• Experience as a Data Analyst, Business Analyst, or similar analytical role.
• 5+ years of experience in data or business analytics within operational or financial domains.
• Expert-level SQL skills, including complex joins, CTEs, window functions, and performance optimization.
• Experience working with ERP or operational systems data.
• Experience operating at both high-level strategic view and deep hands-on analytical execution.
• Experience leading cross-functional initiatives and influencing stakeholders without direct authority.
• Experience operating at a company-wide level, not only within a single function.
• Demonstrated ability to deliver measurable business impact such as cost reduction, efficiency gains, process improvements, or revenue optimization.
• Strong executive-level presentation and communication skills.
• Demonstrated ability to challenge assumptions and influence senior stakeholders using data.
• High ownership, independence, and strong execution mindset.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience with NetSuite or similar ERP systems.
• Experience with operational workflow or spend management tools.
• Experience with BI tools such as Looker, Tableau, or Power BI.
• Experience partnering with Finance or FP&A teams.
• Background in operational efficiency or cost optimization initiatives.

The role

Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.

The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
• Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom ,  tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
• Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
• Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
• Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
• Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
• Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
• Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

We expect you to have: 

• Experience as a data scientist working in production environments (5+ years).
• Experience with time series modeling and forecasting techniques.
• Experience building reliable data pipelines and working with large datasets.
• Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
• Strong SQL skills and experience working with large datasets.
• Strong foundation in statistics and machine learning fundamentals.
• Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
• Demonstrated ability to take models from idea to production and ensure ongoing value.
• Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
• Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience working in cloud environments (preferably Azure).
• Experience with MLOps tools and production model lifecycle management.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.

The role

Nebius is looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.

Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact—not experimentation.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include: 

• LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
• Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
• Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
• Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
• Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
• Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
• Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.

We expect you to have: 

• Experience as a data scientist or applied ML practitioner (5+ years).
• Experience building and deploying LLM-based systems in production.
• Experience working in production environments with model monitoring and iteration.
• Experience with modern data science and ML ecosystems using Python.
• Experience working with large datasets and strong SQL skills.
• Understanding of LLM evaluation, prompt design, and system behavior.
• Strong foundation in statistics and machine learning fundamentals.
• Demonstrated ability to deliver production-grade AI systems end-to-end.
• Demonstrated ability to translate business needs into AI/ML solutions and communicate clearly.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

•  Experience with RAG architectures and retrieval systems.
• Experience designing or working with agent-based workflows.
• Experience with MLOps tools and production ML systems.
• Experience working in cloud environments (preferably Azure).

As an Engineering Manager- Windows Endpoint you will take end-to-end ownership of a feature from ideation to production. Candidates who are able to explore new directions, design solutions, recommend the right approaches, and develop innovative ideas from scratch to drive complex products forward. 

What Will You Do?

Primary responsibilities include: 

• You will have the chance to manage a team of developers working on the most complicated real world problems
• You will continuously enrich your knowledge and experience with Windows OS internals and EPP\EDR eco-system
• You will be a core part of designing and developing the capabilities that will improve the product’s stability and make the user experience smoother

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience as a Team Lead or Engineering Manager in the areas of C++, OS internals (security, storage, etc.)
• Excellent interpersonal skills and great communication skills
• Data-driven decision-making and prioritizing approaches
• Proven experience with team building and advanced software methodologies
• Ability to lead a feature from planning to development and testing
• Ability to lead a global team in different time zones
• Ability to manage external interfaces with other teams
• Previous experience working on a production-grade product with wide-scale deployment
• Previous experience with security-oriented development – Advantage
• Windows Kernel development experience- Advantage

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app