The role

We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.

In this position, you will be responsible for:

• Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.

• Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.

• Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.

• Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.

• Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.
  

We expect you to have:

• 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).

• 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).

• In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.

• Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

It would be a plus if you have:

• Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.

• Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).

• Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.

• Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.

• Understanding of QEMU/KVM virtualization and managing virtualized environments.

• Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.

• Familiarity with collective communication libraries like MPI and NCCL for distributed computing. 

We conduct coding interviews as part of the process.

• Optimize I/O for emulated disk and network devices
• Integrate the hypervisor with other platform services and storage facilities for user data
• Efficiently distribute resources between virtual machines
• Improve guest system support
• Advance the cutting-edge of open source virtualization
• Provide low-level security for the hypervisor and emulator
• Provide general support, fix bugs, and monitor the upstream
• Collaborate with other team members and stakeholders

• 5+ years of professional software engineering experience
• Fluent in C programming language
• 3+years of experience with Linux
• At least 3 years of engineering experience with QEMU/KVM
• General understanding of x86-compatible systems (virtual memory, interrupts, privilege rings)
• Experience writing general system code in user mode for Linux, including debugging, analysis, and optimization tools (the emulator is built on the user mode system process for Linux)

• Aсcepted patches in Linux Kernel or QEMU/KVM
• Experience working with Linux kernel
• Some experience with ARMv8, including virtualization extensions
• Understanding of PCI, SCSI, and ACPI
• Experience working with the Linux kernel
• Excellent communication skills for cross-team collaboration
• Strong work ethic

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 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

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

We are seeking an experienced Product Designer to join our team. You’ll have the opportunity to work from our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.

• Own the end-to-end design of services and features within the Nebius Console, from discovery to delivery
• Design clear, scalable interfaces for complex cloud and AI infrastructure products
• Translate business goals, technical constraints, and user needs into coherent user flows and interaction models
• Work closely with Product Managers, Engineers, and other stakeholders throughout the product lifecycle
• Clearly present design solutions and rationale to cross-functional teams
• Manage design work from early hypotheses and exploration through prototyping, implementation, and iteration
• Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product

• Strong product thinking and the ability to approach design as a set of connected user scenarios
• Ability to balance usability, consistency, and innovation in complex systems
• Solid understanding of the product design process, including discovery, validation, and delivery
• High attention to detail and structured, systematic work in Figma
• Experience collaborating with other designers in a shared product and design system environment
• At least 5 years of experience as a Product Designer on digital products
• Confident English communication skills, sufficient for day-to-day collaboration with international teams
• Strong proficiency in Figma, including creating complex and interactive prototypes

• Experience designing responsive and adaptive functional interfaces
• Familiarity with UX research and usability testing methods
• Experience with cloud consoles, dashboards, or other high-complexity web applications
• Ability to communicate effectively with engineers using HTML, CSS, and JavaScript terminology

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners.

The role 

Nebius Token Factory is a next-generation platform for LLM inference and deployment. It gives companies and developers access to dozens of state-of-the-art open-source models (LLMs, Vision, Embeddings, Image Generation) with enterprise-grade guarantees, including private endpoints, zero-retention data flow, transparent pricing, and easy scaling without GPU ops overhead.

Token Factory is part of Nebius, a company building next-generation cloud infrastructure for the global AI economy, helping teams solve real-world problems and scale AI without massive infrastructure costs or large in-house ML teams.

We are looking for a strong Product Designer  who will help turn complex AI infrastructure into a clear, controllable, and thoughtfully designed product for a professional audience. In this role, you’ll work on one of the most technically advanced AI products on the market, immerse yourself in modern LLM and AI infrastructure operating at production scale, and have real influence on UX and product decisions across core user scenarios.

You’re welcome to work in our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.

Your responsibilities will include: 

• Designing clear, scalable interfaces for core end-to-end AI workflows: model selection and comparison, deployment and inference, inference observability and analysis, fine-tuning, dataset management, batch inference, and agent configuration.
• Own the end-to-end design of services and features within the Nebius Token Factory, from discovery to delivery.
• Being ready to write high-quality interface copy — clear, precise text that helps users navigate complex scenarios and make informed decisions.
• Developing a deep understanding of how AI systems work under the hood, translating complex technical processes (fine-tuning, data pipelines, agent workflows) into clear and manageable user interfaces.
• Collaborating with product managers to formulate hypotheses, validate them with data and user feedback, and improve key product scenarios.
• Using modern AI tools as part of the design process across research, ideation, and prototyping stages (Figma Make, Cursor, lovable.dev, ChatGPT, Claude, etc.).
• Working closely with product, engineering, and ML teams — discussing, revisiting, and improving solutions based on feedback and shared understanding.
• Clearly present design solutions and rationale to cross-functional teams
• Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product  

We expect you to have: 

• 5+ years of experience in product teams (SaaS / B2B / DevTools experience is a strong plus). Strong product thinking and the ability to turn complex processes into clear and transparent user journeys.
• Experience working on technically complex products where understanding system logic and processes matters as much as UI. Ability to balance usability, consistency, and innovation in complex systems.
• Willingness to dive into the AI domain: how datasets are prepared for fine-tuning, how fine-tuning works, how agents and their workflows are structured.
• Openness to collaboration: ability to listen, argue constructively, and incorporate team feedback.
• Interest in UX research and a clear understanding of its value for product decisions.

It will be an added bonus if you have: 

• Experience with AI products, ML platforms, or developer tools.
• Understanding of API-first products.
• Experience designing enterprise-grade interfaces.
• Interest in product architecture and how systems work “under the hood.”

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.

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. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

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

We’re looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius’ hyperscaler cloud.
You’ll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures.

• Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths
• Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA)
• Storage systems: replication, consensus, self-healing, and data migration

• 6+ years of professional software engineering experience
• Strong knowledge of C++
• Solid understanding of algorithms and data structures
• Basic knowledge of operating system internals (I/O, memory, scheduling)
• Ability to write reliable, maintainable code and debug complex systems
• Team-oriented mindset and fluency in English

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.

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead.
With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking.
In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

• Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
• Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
• Maintain the technical vision for your area of responsibility.
• Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

• Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
• Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
• Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
• Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

• 8+ years of professional software engineering or management experience
• Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
• Expertise with
• Multi-month technical projects
• Tech leading engineers
• Owning multi-month technical projects.

It would be an added bonus if you had:

• Experience with Team management, Kubernetes administration, Developing Kubernetes controllers

The role

Nebius is looking for a Technical Product Manager – Networks to join the team. In this role, you will will own the vision, roadmap, and priorities for networking services, including overlay (VPC) networks, underlay networks (data center fabric and WAN), and DNS.

Also, you will be responsible for shaping and managing backlogs for networking service teams and leading key, company-wide initiatives related to connectivity. This role requires strong technical depth combined with the ability to coordinate across engineering, development, product, technical support and go-to-market teams.

Your responsibilities will include: 

• Own and manage the product backlog for network service teams
• Lead and coordinate key cross-company implementations involving networking and connectivity
• Work closely with engineering and architecture teams to define product requirements and deliver new networking features
• Partner with product marketing and technical pre-sales/post-sales teams on technical publications, go-to-market activities, customer engagement, acquisition, and retention activities related to networking features
• Ensure the delivery of networking services that meet high standards for performance, security, scalability, and reliability.

We expect you to have: 

• Experience designing, implementing, or operating large-scale automated network solutions in senior engineering, architecture, or technical leadership roles (e.g., large enterprises, hyperscalers, cloud providers, or other advanced technology companies)
• Hands-on familiarity with technologies such as OVS, DNS, L2VPN, L3VPN, VXLAN, BGP, and IPv6 at scale
• Strong technical expertise in at least two of the following areas:
  • Linux networking stack
  • Overlay / SDN networking
  • ISP or large-scale service provider networking
  • DevNet / network automation
• Proven track record of delivering complex technical initiatives requiring coordination across multiple teams or stakeholders
• Technical leadership experience is a strong plus
• Product management experience is not required, but a strong willingness to learn and grow into the role is essential.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

The role

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.

Your responsibilities will include: 

• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.  

We expect you to have: 

• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.

It will be an added bonus if you have: 

• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

• Write and maintain UI copy in Nebius Console that improves and streamlines the user experience, ensuring consistency and alignment with product documentation.
• Provide alternative UI copy options based on the proposed design solutions.
• Collaborate closely with product managers, designers, and engineers on product initiatives.
• Develop and maintain voice & tone guidelines; define and scale content patterns within the design system.
• Simplify complex technical scenarios into clear, actionable interface language.
• Conduct content audits of the existing interfaces and identify areas for improvement.
• Actively participate in the life and processes of the Product Design Team.

• 5+ years of experience in UX writing / content design.
• Strong product thinking and the ability to approach design as a system of interconnected user scenarios.
• Excellent written and spoken English.
• Familiarity with cloud computing concepts (virtual machines, containers, Kubernetes, storage, networking, etc.) and ML/AI concepts (training, inference, fine-tuning, etc.).
• Proficiency in Figma.
• A portfolio featuring real interface cases (before/after examples and clear explanation of decision logic).
• Solid understanding of core UX principles: user flows, edge cases, states, and system feedback.

• Experience in technical writing.
• Experience using AI-powered plugins in Figma or other tools to support content creation workflows.
• Review UI texts directly in the codebase and occasionally update or fix copy within the code when necessary.

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• 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’re looking for a Security Product Manager to join our team. Security Product Manager is responsible for conveying the company’s security strengths to customers, partners and the market at large. This includes participating in relevant security partnership initiatives, influencing security positioning and branding, and working closely with internal teams to ensure company’s security posture and security products is communicated effectively to all stakeholders. By combining expertise in compliance requirements with a customer-centric approach, Security Product Manager helps position security as a competitive advantage rather than just an internal obligation. 

Your responsibilities will include: 

1. Product Management 

• Define the vision and roadmap for Nebius’ security products. 
• Owning the ideation, postmortem, prioritization, backlog, and customer feedback processes. 
• Guiding new features, systems and services from inception to launch, while keeping customers at the center of everything. 

2. Customer-facing communications 

• Lead public-facing communications around security updates or changes in compliance status. 
• In the event of a security incident, coordinate user messaging (email notifications, press releases, FAQs) with support from the Head of Security Products and CISO. 
• Gather user feedback on user experience and security to guide continuous improvements. 

 3. Competitive analysis and market research 

• Conduct ongoing research on industry benchmarks, emerging security standards and technologies, and competitor certifications. 
• Identify gaps and opportunities in organization’s product security posture; propose strategic initiatives that differentiate the company’s security story in the market. 
• Stay informed about new regulations or frameworks that may influence future product certifications or transparency requirements (e.g., privacy laws, data sovereignty standards). 

 4. Certification and audit support, service ownership 

• Collaborate with the CISO office to gather technical evidence or make necessary product enhancements that satisfy certification requirements. 
• Take ownership of some security-related services of Cloud platform. 
• Track and maintain a certification roadmap (ISO 27001, SOC 2, HIPPA, etc.), working closely with CISO, GRC & Compliance, Corporate Security departments. Communicate timelines, goals and status updates to leadership and sales representatives. 

5. Cross-functional collaboration 

• Coordinate with multiple Product Managers to align security goals with other product roadmaps, ensuring a consistent narrative between product security and external messaging. 
• Work with Platform Security, GRC & Corporate Security and legal teams to gather essential information for security products enhancements (e.g., penetration test summaries, compliance reports). 
• Work with Customer-facing teams to address client inquiries about security posture and guide them on using security features optimally. 

We expect you to have: 

• 3+ years of Product Management or Program Management experience with a focus on security initiatives. 
• Basic knowledge of compliance frameworks (e.g., SOC 2, ISO 27001, GDPR) and familiarity with how they translate into business value. 
• Proven ability to communicate technical concepts in a clear, customer-friendly manner (e.g., writing content, speaking at webinars or conferences). 
• Stakeholder management skills to align with other Product Managers, CISO staff, engineering, marketing, and customer-facing teams. 
• Analytical mindset: comfortable defining success metrics (e.g., security feature adoption, NPS around trust, certification progress) and making data-driven decisions. 
• Project management skills: demonstrated ability to manage inter-team collaboration within company-wide projects, ensuring timely delivery of cross-functional tasks and alignment with compliance goals. 

It will be an added bonus if you have: 

•  Certifications such as CISSP, CISM, or PMP; prior experience in regulated industries; prior experience working for Cloud Service Provider.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. 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!

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

We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You're welcome to work from our offices in Prague, Amsterdam, or Berlin— hybrid or remotely.

In this position, your responsibility will be to:
Developing 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
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

About Emplifi

Emplifi is a leading AI-powered social media marketing and customer experience platform, empowering brands to deliver meaningful, connected experiences across digital channels. Recognized as a Leader by renowned analysts and celebrated as a customer favorite, Emplifi provides innovative, data-driven insights and AI-powered tools to help brands optimize social media performance, elevate their influencer marketing strategies, and deliver impactful customer engagement across marketing, commerce, and care.

About the Reporting and Analytics Team

We're a group of enthusiastic business analysts, data analysts, engineers, and Salesforce developers. We also have a team consisting of developers taking care of our SaaS toolsets. People matter the most. We try to create a culture where people feel productive and creative, can learn and grow, and every voice is heard. 

Projects run on agile methodology, and we tackle interesting problems from anomaly detection, to optimal product setup, retention prediction to analyzing macro market trends using gigabytes of data. Our stack consists of Python, SQL, Tableau, Apache Spark, AWS S3, and PostgreSQL. We also manage Salesforce (both marketing and sales processes).  While code quality matters, what defines us is our ability to combine strong technical solutions with a sharp business mindset.

About the Role

At Emplifi, data is more than numbers—it’s insight, innovation, and impact. As our Data Analyst, you’ll be at the forefront of shaping business and product decisions across the organization. We are looking for someone with natural curiosity, strong independence, and a deep sense of accountability—someone who thrives on discovering the "why" behind the data and who is motivated to deliver meaningful outcomes. You’ll uncover trends in the social media landscape that feed into global publications, deliver actionable insights that power our strategy, and support client success through fast, accurate data exports.

In this dynamic role, you'll also support Sales enablement and pipeline building, while mastering powerful technologies like Python, Databricks, PySpark, S3, and Airflow. You’ll work with terabytes of data in our evolving Data Lake, all within a collaborative and flexible Agile (SCRUM) environment where experimentation is encouraged and learning never stops.

What you'll Do Here

On-Demand Insights

• Support cross-functional stakeholders—including Management, Marketing, Sales, and Product—with timely, high-impact analyses
• Extract insights from large datasets (like TikTok usage) to inform business strategies and delight clients through ad-hoc data exports

Autonomous Insight Generation

• Work independently to define questions, mine data, perform analyses, and present actionable recommendations
• Take initiative to identify new opportunities where data can drive value

Automated Reporting Pipelines

• Build robust, automated ETL processes for recurring reports and dashboards
• Deliver standardized, visually compelling data products that are reliable and ready to use

Go Beyond Analytics

• Tackle complex challenges that blend analytics and data science - like improving product stickiness or identifying risk patterns
• Use tools like ChatGPT and LLMs to enrich data and streamline analysis for internal teams

What You’ll Bring To Us

Must Have Skills

• Advanced skills in Python, especially with libraries like Pandas and NumPy for report automation
• Proficiency in SQL and confident navigating large datasets
• Solid foundation in statistics, including descriptive and inferential techniques (e.g., bootstrapping)
• Fluency in English (spoken & written), with the ability to collaborate across teams and communicate technical insights to non-technical audiences
• A proactive, solution-oriented mindset - you seek out automation opportunities and innovate with emerging tools
• Ability to manage priorities and meet deadlines in a fast-paced Agile environment
• Strong sense of ownership and accountability - you own your outcomes

Your Work Style

• You actively participate in Agile ceremonies and contribute to our SCRUM culture
• You use JIRA for tracking, GIT for versioning, and follow clean, consistent code practices
• You help set the standard for data quality and scalability
• You choose the right tools and tech for each data challenge and are accountable for your deliverables

Additional Tools

• Experience with APIs and PySpark is a plus
• Familiarity with basic Machine Learning concepts such as regression, classification, and clustering
• Experience with Git/GitHub for version control
• Willingness to learn tools like Airflow, Databricks, or Grafana

What We Offer

• International and fast-paced environment
• Chance to work with the world’s biggest brands at the CX tech leader
• Agile and open-minded culture, with high levels of trust and flexibility
• Opportunity for professional growth and development 
• Possibility to learn new and cutting-edge technologies, in an environment that encourages new ideas
• Flexible working environment
• Unlimited Paid Time Off
• Sick Days & Community Service Days
• Multisport card
• Maternity and Parental Benefit
• Possibility to work from offices in Prague (Karlín), Brno (Impact Hub), Pilsen (Roudná)
• There’s more as well! Speak with us to find out all the details!

As a Principal Commercial Sales Representative, you will act as a results-driven hunter, scaling SentinelOne’s business across Eastern Europe and the CIS by winning new customers and exceeding revenue targets in the mid-market segment. You will manage the full sales lifecycle from aggressive outbound prospecting to complex deal closure while leveraging a strategic channel ecosystem to accelerate growth. Based remotely in Czechia, you will combine your bilingual fluency (English and Czech) with a consultative approach to navigate high-stakes negotiations and build trusted relationships with regional decision-makers.

What Will You Do?

As a Principal Commercial Sales Representative, you’ll take the lead in driving revenue growth across commercial accounts. You’ll own the entire sales cycle—from prospecting to closing—building meaningful relationships with commercial organizations and collaborating with our channel ecosystem to maximize success in your territory.

In this role, you will:

• Own the full sales cycle: Prospect, qualify, negotiate, and close deals with key decision-makers in mid-sized organizations across Eastern Europe and CIS.
• Build and manage a high-performing pipeline: Leverage multiple lead sources, outbound strategies, and channel partnerships to create consistent opportunities for growth.
• Partner for impact: Collaborate with field sales teams, channel partners, and cross-functional stakeholders to amplify reach and accelerate deal velocity.
• Be a trusted advisor: Develop deep knowledge of SentinelOne’s solutions and the cybersecurity landscape to deliver tailored, value-driven conversations.
• Stay ahead of the curve: Monitor industry trends and competitive dynamics to continuously refine your consultative sales approach.
• Deliver results with precision: Consistently meet and exceed revenue goals through disciplined forecasting, pipeline management, and proactive account planning.
• Communicate with clarity: Provide timely and accurate forecasts, insights, and strategic feedback to sales leadership.
• Work flexibly: This is a fully remote role based in Czechia, with the opportunity to drive impact across the wider region.

What skills and experience should you bring?

We’re looking for a high-performing sales professional who combines strategic thinking with a passion for results. You’re driven, curious, and thrive in fast-moving environments where impact matters.

You’ll be successful in this role if you bring:

• Fluency in English and Czech, with excellent written and verbal communication skills.
• At least 3 years of direct sales experience at a software vendor, with a proven record of closing net new logos and driving territory growth.
• Experience selling into the commercial segment (organisations with 50–2,500 employees, sometimes more!).
• A background in working with or through channel partners, maximizing collaboration and reach.
• Prior cybersecurity experience is a strong advantage, though not essential for success.
• The ability to manage complex sales cycles from initial qualification through to executive-level negotiations.
• Comfort operating in a fast-paced, high-growth environment, maintaining focus and adaptability.
• A results-driven, competitive, and self-motivated mindset, with the determination to consistently exceed targets.
• Exceptional presentation, storytelling, and objection-handling skills that build trust and inspire customers.
• A Bachelor’s degree or equivalent professional experience.

Why us?

At SentinelOne, you’ll join a fast-paced, international Commercial Sales team focused on driving real impact. You’ll work with talented colleagues from around the world, and develop your skills in a dynamic, innovative environment. We offer strong career growth opportunities, excellent training, and a fun, collaborative culture.

We also provide a range of benefits to support your success, including:

• 3-month non-recoverable draw and uncapped commission plan to maximize your earnings
• Restricted Stock Units (RSUs) and participation in our Employee Stock Purchase Program (ESPP)
• Excellent benefits including pension, along with life, disability and accident insurance
• Work-from-home allowance, along with access to co-working spaces
• Flexible Time Off policy to recharge when you need it
• Choice of a high-end MacBook or Windows laptop, plus home-office setup support
• An additional volunteer day each year and 4+ Wellness Days for self-care and mental health
• Global, gender-neutral parental leave and grandparent leave for life’s important moments
• Access to a confidential Employee Assistance Program (EAP) offering mental health support
• Full access to LinkedIn Learning for professional development
• Full access to Wellness Coach, a mental well-being and fitness app
• Opportunities to connect and grow through our Company Inclusion Networks and Mentor Program

As a Senior UX Researcher (on a maternity cover role) at SentinelOne, you will play a crucial role in shaping the user experience of our products. You will collaborate with cross-functional teams, including product managers, product designers, and engineers, to conduct user research and provide actionable insights that drive the development of intuitive, user-centric solutions. Your work will have a direct impact on our main product, enabling us to develop innovative concepts and ideas based on data and research, rather than subjective opinions.

SentinelOne’s design team (over 20 designers across the US, Israel, Czechia and India) are growing quickly and transforming its role in the organization. We are leading the way with ideas and execution to make our product more lovable, usable, and flexible.

You will impact products that serve thousands of users from security teams at enterprise and government customers across the globe (incl. 5 of Fortune 10 and hundreds of Global 2000) and protect tens of millions of endpoints every day. You will contribute to safeguarding the world’s creativity, communications, and commerce on devices and in the cloud.

What Will You Do?

Primary responsibilities include:

• Plan and execute user research activities to gain deep insights into user behavior, needs, and pain points.
• Conduct qualitative and quantitative research, such as user interviews, surveys, usability tests, and analytics analysis.
• Collaborate closely with product managers, designers, and engineers to identify research questions and define research goals.
• Synthesize and analyze research findings and communicate them in a clear and impactful manner to stakeholders.
• Work with the design team to generate personas, user flows, wireframes, and prototypes based on research insights.
• Continuously advocate for the user by promoting user-centered design principles throughout the product development process.
• Stay up to date with industry trends and best practices in UX research and contribute to the advancement of our research methodologies.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proficiency in UX design tools and software, such as Dovetail and Figma.
• Fluency in English, both written and spoken.
• Fluency in using AI tools throughout the UX research process.
• Proven experience in conducting user research for software or web-based applications.
• Proficiency in qualitative and quantitative research methods, including user interviews, surveys, usability testing, and data analysis.
• Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex data sets.
• Excellent communication skills, both written and verbal, with the ability to present research findings to diverse stakeholders.
• Knowledge of cybersecurity concepts and the ability to understand the unique challenges and needs of our target users is highly appreciated.
• A Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Cognitive Science, or a related field is highly appreciated.
• A portfolio demonstrating past research projects and their impact on product development is highly desirable.

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:

• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

As a Staff (techlead-level) Infrastructure Engineer, you will lead the design, implementation, and evolution of our cloud infrastructure platforms that power SentinelOne’s products at scale. You will drive complex, cross‑functional initiatives end‑to‑end, set technical direction for Kubernetes and cloud infrastructure (70+ K8s clusters, tens of thousands of nodes, multi‑region AWS (EKS) and GCP (GKE), multi‑account setup), and raise the bar for reliability, performance, and security. You will act as a go‑to expert and mentor for other engineers, helping them develop, deliver, and operate services efficiently on top of our platform.

What Will You Do?

Primary responsibilities include: 

• Own, design, build, and evolve systems and large, impactful initiatives (complex, ambiguous problems) across Kubernetes and cloud infrastructure that allow our engineers to deliver features safely, quickly, and reliably – such as the cloud infrastructure platform we’re building.
• Maintain and enhance large‑scale Kubernetes infrastructure, troubleshoot and resolve complex issues in the platform and related cloud services, including performance, scalability, and reliability, as well as H-A, observability, security, and cost-efficiency challenges.
• Ensure our Kubernetes infra and surrounding ecosystem are fully automated using IaC (Terraform, incl. writing, maintaining and improving modules & tooling) and GitOps (ArgoCD) and adhere to best practices in security and compliance. You will also define & evolve standards and patterns across teams and guide others in adopting these practices.
• Support Engineering teams as a trusted partner, helping them adopt and utilize the platform effectively (repeatable, self‑service infrastructure), and influence roadmaps with infrastructure & reliability considerations.
• Own and continuously improve key metrics around performance, throughput, reliability, and failure rates, including capacity planning and deployment strategies.
• Contribute to and sometimes lead incident response efforts, post‑incident reviews, and systemic improvements to prevent recurrence.
• As Staff Engineer, you will be expected to mentor and coach other engineers, fostering a culture of knowledge sharing, continuous learning, and high‑quality engineering practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Multiple years of hands-on Kubernetes administrator experience, including maintenance, configuration, and operations in large-scale production environments - such as dozens of clusters, hundreds of nodes, multi‑region, or multi‑account setups.
• Experience with managed offerings like EKS and/or GKE. KOPS and others are a plus.
• Strong experience with ingress controllers configuration and troubleshooting (like Traefik or Gloo) and production experience maintaining standard add-ons (like cert‑manager, Karpenter, Keda, Cilium, CoreDNS etc).
• Deep, practical experience with GitOps tooling and workflows, ideally ArgoCD and/or Flux; with CI/CD pipelines, ideally GitHub Actions, including designing and operating workflows for infrastructure and application delivery.
• Strong experience with Terraform or Terragrunt, including designing and maintaining reusable modules and shared infrastructure components.
• Ability to design automation and tooling to streamline day-to-day operations such as cluster lifecycle, upgrades, and policy enforcement. 
• Highly preferred: proficiency in Python or Golang, with the ability to automate operations, build small tools or services, and review code for quality and reliability.
• Strong AWS and/or GCP infrastructure knowledge across core services, networking, security, IAM, and cost optimization.
• Solid understanding of SRE principles, including SLAs, SLOs, and SLIs, and how to design systems to meet them.
• Incident response experience, including participation in on‑call rotations and leading or contributing to incident reviews.
• Experience leading technical projects from start to finish - you will take full ownership of  work, catch issues early and create solutions that help different teams and services work better together. Strong ability to handle context-switching.
• Experience mentoring and coaching engineers, driving improvements in engineering practices, and fostering a collaborative, learning‑oriented environment.
• Experience using AI tools in day-to-day engineering work and a solid understanding of FinOps practices for managing and optimizing cloud costs.

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:

• Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK. Only Prague-based employees are required to work from the office at least two days per week.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

As a Staff (techlead-level) Infrastructure Engineer, you will lead the design, implementation, and evolution of our cloud infrastructure platforms that power SentinelOne’s products at scale. You will drive complex, cross‑functional initiatives end‑to‑end, set technical direction for Kubernetes and cloud infrastructure (70+ K8s clusters, tens of thousands of nodes, multi‑region AWS (EKS) and GCP (GKE), multi‑account setup), and raise the bar for reliability, performance, and security. You will act as a go‑to expert and mentor for other engineers, helping them develop, deliver, and operate services efficiently on top of our platform.

What Will You Do?

Primary responsibilities include: 

• Own, design, build, and evolve systems and large, impactful initiatives (complex, ambiguous problems) across Kubernetes and cloud infrastructure that allow our engineers to deliver features safely, quickly, and reliably – such as the cloud infrastructure platform we’re building.
• Maintain and enhance large‑scale Kubernetes infrastructure, troubleshoot and resolve complex issues in the platform and related cloud services, including performance, scalability, and reliability, as well as H-A, observability, security, and cost-efficiency challenges.
• Ensure our Kubernetes infra and surrounding ecosystem are fully automated using IaC (Terraform, incl. writing, maintaining and improving modules & tooling) and GitOps (ArgoCD) and adhere to best practices in security and compliance. You will also define & evolve standards and patterns across teams and guide others in adopting these practices.
• Support Engineering teams as a trusted partner, helping them adopt and utilize the platform effectively (repeatable, self‑service infrastructure), and influence roadmaps with infrastructure & reliability considerations.
• Own and continuously improve key metrics around performance, throughput, reliability, and failure rates, including capacity planning and deployment strategies.
• Contribute to and sometimes lead incident response efforts, post‑incident reviews, and systemic improvements to prevent recurrence.
• As Staff Engineer, you will be expected to mentor and coach other engineers, fostering a culture of knowledge sharing, continuous learning, and high‑quality engineering practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Multiple years of hands-on Kubernetes administrator experience, including maintenance, configuration, and operations in large-scale production environments - such as dozens of clusters, hundreds of nodes, multi‑region, or multi‑account setups.
• Experience with managed offerings like EKS and/or GKE. KOPS and others are a plus.
• Strong experience with ingress controllers configuration and troubleshooting (like Traefik or Gloo) and production experience maintaining standard add-ons (like cert‑manager, Karpenter, Keda, Cilium, CoreDNS etc).
• Deep, practical experience with GitOps tooling and workflows, ideally ArgoCD and/or Flux; with CI/CD pipelines, ideally GitHub Actions, including designing and operating workflows for infrastructure and application delivery.
• Strong experience with Terraform or Terragrunt, including designing and maintaining reusable modules and shared infrastructure components.
• Ability to design automation and tooling to streamline day-to-day operations such as cluster lifecycle, upgrades, and policy enforcement. 
• Highly preferred: proficiency in Python or Golang, with the ability to automate operations, build small tools or services, and review code for quality and reliability.
• Strong AWS and/or GCP infrastructure knowledge across core services, networking, security, IAM, and cost optimization.
• Solid understanding of SRE principles, including SLAs, SLOs, and SLIs, and how to design systems to meet them.
• Incident response experience, including participation in on‑call rotations and leading or contributing to incident reviews.
• Experience leading technical projects from start to finish - you will take full ownership of  work, catch issues early and create solutions that help different teams and services work better together. Strong ability to handle context-switching.
• Experience mentoring and coaching engineers, driving improvements in engineering practices, and fostering a collaborative, learning‑oriented environment.
• Experience using AI tools in day-to-day engineering work and a solid understanding of FinOps practices for managing and optimizing cloud costs.

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:

• Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK. Only Prague-based employees are required to work from the office at least two days per week.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

As a Staff (techlead-level) Infrastructure Engineer, you will lead the design, implementation, and evolution of our cloud infrastructure platforms that power SentinelOne’s products at scale. You will drive complex, cross‑functional initiatives end‑to‑end, set technical direction for Kubernetes and cloud infrastructure (70+ K8s clusters, tens of thousands of nodes, multi‑region AWS (EKS) and GCP (GKE), multi‑account setup), and raise the bar for reliability, performance, and security. You will act as a go‑to expert and mentor for other engineers, helping them develop, deliver, and operate services efficiently on top of our platform.

What Will You Do?

Primary responsibilities include: 

• Own, design, build, and evolve systems and large, impactful initiatives (complex, ambiguous problems) across Kubernetes and cloud infrastructure that allow our engineers to deliver features safely, quickly, and reliably – such as the cloud infrastructure platform we’re building.
• Maintain and enhance large‑scale Kubernetes infrastructure, troubleshoot and resolve complex issues in the platform and related cloud services, including performance, scalability, and reliability, as well as H-A, observability, security, and cost-efficiency challenges.
• Ensure our Kubernetes infra and surrounding ecosystem are fully automated using IaC (Terraform, incl. writing, maintaining and improving modules & tooling) and GitOps (ArgoCD) and adhere to best practices in security and compliance. You will also define & evolve standards and patterns across teams and guide others in adopting these practices.
• Support Engineering teams as a trusted partner, helping them adopt and utilize the platform effectively (repeatable, self‑service infrastructure), and influence roadmaps with infrastructure & reliability considerations.
• Own and continuously improve key metrics around performance, throughput, reliability, and failure rates, including capacity planning and deployment strategies.
• Contribute to and sometimes lead incident response efforts, post‑incident reviews, and systemic improvements to prevent recurrence.
• As Staff Engineer, you will be expected to mentor and coach other engineers, fostering a culture of knowledge sharing, continuous learning, and high‑quality engineering practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Multiple years of hands-on Kubernetes administrator experience, including maintenance, configuration, and operations in large-scale production environments - such as dozens of clusters, hundreds of nodes, multi‑region, or multi‑account setups.
• Experience with managed offerings like EKS and/or GKE. KOPS and others are a plus.
• Strong experience with ingress controllers configuration and troubleshooting (like Traefik or Gloo) and production experience maintaining standard add-ons (like cert‑manager, Karpenter, Keda, Cilium, CoreDNS etc).
• Deep, practical experience with GitOps tooling and workflows, ideally ArgoCD and/or Flux; with CI/CD pipelines, ideally GitHub Actions, including designing and operating workflows for infrastructure and application delivery.
• Strong experience with Terraform or Terragrunt, including designing and maintaining reusable modules and shared infrastructure components.
• Ability to design automation and tooling to streamline day-to-day operations such as cluster lifecycle, upgrades, and policy enforcement. 
• Highly preferred: proficiency in Python or Golang, with the ability to automate operations, build small tools or services, and review code for quality and reliability.
• Strong AWS and/or GCP infrastructure knowledge across core services, networking, security, IAM, and cost optimization.
• Solid understanding of SRE principles, including SLAs, SLOs, and SLIs, and how to design systems to meet them.
• Incident response experience, including participation in on‑call rotations and leading or contributing to incident reviews.
• Experience leading technical projects from start to finish - you will take full ownership of  work, catch issues early and create solutions that help different teams and services work better together. Strong ability to handle context-switching.
• Experience mentoring and coaching engineers, driving improvements in engineering practices, and fostering a collaborative, learning‑oriented environment.
• Experience using AI tools in day-to-day engineering work and a solid understanding of FinOps practices for managing and optimizing cloud costs.

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:

• Salary starting from 5000 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.
• Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, Paid Multisport Benefit Card and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and Multisport card paid by SentinelOne.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why Us? 

Join a cutting-edge company where you'll take on extraordinary challenges alongside top industry talent. Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.

Salary starting from 5000 EUR/month
Annual bonus based on company performance, paid in two instalments
The final base salary may be adjusted based on the individual skills and experience of the selected candidate.

Competitive Benefits Package:

• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why Us? 

Because you will meet extraordinary challenges facing the newest attacks and tech obstacles and overcoming them. You will work with the very BEST in the industry in a flexible and independent environment. You will influence the design of a disruptive product that will shape the security industry of tomorrow.

What we offer you

• Permanent-fulltime collaboration (UoP)
• Flexible working hours, this is a 100% remote role based within Poland; we provide optional membership in major co-working spaces
• Currently for this role in Poland we are able to consider only candidates that are already eligible to work in the EU at the time of applying
• Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
  
  
• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• LuxMed, Life Insurance, Disability Insurance, PPK (4% employer contribution)
• Flexible time off (up to 30 paid days off per annum!)
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Monthly Wellness Allowance
• Monthly Working from Home allowance
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• Udemy Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional Country-specific Benefits & Allowances To Poland

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why Us? 

Join a cutting-edge company tackling extraordinary challenges alongside top industry talent. Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK. Only Prague-based employees are required to work from the office at least two days per week.

Competitive Benefits Package:

• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why Us? 

Join a cutting-edge company tackling extraordinary challenges alongside top industry talent. Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK. Only Prague-based employees are required to work from the office at least two days per week.

Competitive Benefits Package:

• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why Us? 

Join a cutting-edge company tackling extraordinary challenges alongside top industry talent. Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK. Only Prague-based employees are required to work from the office at least two days per week.

Competitive Benefits Package:

• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Health: Pension Insurance Contribution, Premium life insurance, Private medical care (for you and +1), and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why us?

Because you will work on real-world problems with risks of millions of dollars (protecting against Ransomware and other threats) and make an impact by preventing our customers from appearing in global news after being attacked. You will be joining a technologically cutting-edge project and will be able to influence the architecture, design, and building of our core platform. You will meet extraordinary challenges and work with the very BEST in the industry.

On top of that we offer you

• Flexible working hours, this is a 100% remote role based within Spain; we provide optional membership in major coworking chains
  • Currently for this role in Spain we are able to consider only candidates that are already eligible to work in the EU at the time of applying
  • Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
    
• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• 30 Days of Paid Annual Leave
• Flexible Paid Sick Days
• Pension insurance contribution
• Premium Life Insurance covered by S1
• Premium Medical & Dental Insurance covered by S1
• Meal, Transport & Homeoffice allowance of total 440 EUR/month
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional country-specific benefits to Spain

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why us?

Because you will work on real-world problems with risks of millions of dollars (protecting against Ransomware and other threats) and make an impact by preventing our customers from appearing in global news after being attacked. You will be joining a technologically cutting-edge project and will be able to influence the architecture, design, and building of our core platform. You will meet extraordinary challenges and work with the very BEST in the industry.

On top of that we offer you

• Flexible working hours, this is a 100% remote role based within Italy; we provide optional membership in major coworking chains
• Currently for this role in Italy we are able to consider only candidates that are already eligible to work in the EU at the time of applying
• Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying

• Generous employee stock plan in the form of RSUs (restricted stock units) grant not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• Quadro benefits - Private Medical, Life Insurance, Accident Insurance, Study funds and Healthcare benefits
• Flexible time off (up to 30 paid days off per annum!)
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• Udemy Business platform for Hard/Soft skills Training, internal mentoring 'MentorOne' & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional country-specific benefits to Italy

THE ROLE

Join the Infrastructure and Shared Services (ISS) team as a Security Engineer to build and defend the next generation of the Everpure Platform. Whether your expertise lies in network architecture, detection engineering, or securing AI pipelines, you will play a critical role in protecting our engineering infrastructure from lateral movement and advanced threats. You’ll collaborate directly with Platform Reliability and Infrastructure teams to bake security into the automation that powers our global developer services. This is a high-impact, hands-on engineering role focused on creating a resilient, zero-trust environment for our most critical services.

WHAT YOU'LL DO

• Engineer Advanced Defense Patterns: Design and implement zero-trust network access models, secure service-to-service communication, or AI-specific guardrails to eliminate unauthorized data access and lateral movement.
• Operationalize Detection & Response: Build high-fidelity behavioral detections for infrastructure and identity systems, ensuring all security telemetry is integrated into our SIEM for real-time visibility and rapid incident containment.
• Validate & Harden Infrastructure: Conduct threat modeling and security validation exercises (including ransomware simulations) to verify the effectiveness of controls across Kubernetes, cloud-native workloads, and AI model pipelines.
• Automate Security at Scale: Partner with engineering teams to integrate security controls directly into infrastructure-as-code and CI/CD pipelines, automating log analysis and network policy enforcement to reduce manual overhead.

WHAT YOU BRING

• Advanced knowledge of securing distributed systems, with deep technical proficiency in either network protocols (TCP/IP, TLS/SSL), detection engineering methodologies, or AI/ML pipeline security (protecting against prompt injection and data leakage).
• Hands-on experience securing cloud-native environments (AWS/Azure/GCP), containerized workloads (Kubernetes), and modern infrastructure-as-code automation.
• Ability to distinguish legitimate operational activities from indicators of compromise through deep log analysis, packet inspection (Wireshark), or behavioral modeling in SIEM/XDR platforms.
• Proven track record of working alongside DevOps, SOC, and Data teams to drive security outcomes without compromising engineering velocity.
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

  #LI-ONSITE

THE ROLE

Lead the strategic execution of our international revenue (IR) and accounts receivable (AR) operations, serving as a critical partner within the Order to Cash organization. You will bridge the gap between technical accounting compliance and commercial strategy, advising cross-functional teams on complex global deal structures and revenue recognition. As a strategic leader, you will drive operational excellence, oversee statutory reporting, and champion automation initiatives to scale our global financial processes.

WHAT YOU’LL DO

• GTM & Technical Advisory: Partner with regional Deal Desk and Sales teams to evaluate contract structures, providing clear guidance on ASC 606 compliance and ensuring new business models are integrated seamlessly into our global framework.
• Operational Revenue Leadership: Lead the international revenue close and AR accounting processes, ensuring the highest standards of accuracy in reporting, reconciliations, and intercompany eliminations across multiple jurisdictions.
• Strategic FP&A Partnership: Collaborate closely with FP&A and Treasury to provide highly accurate revenue analytics and forecasts for deferred revenue, RPO, and cash collections, directly influencing global business decision-making.
• Audit & Control Management: Drive the execution of SOX controls and coordinate international statutory audits, delivering precise documentation and proactive insights to internal and external auditors to ensure global compliance.
• AI & Automation Transformation: Champion the deployment of AI-powered tools and intelligent automation to streamline contract reviews and anomaly detection, moving the function toward a data-driven, automated future.

WHAT YOU BRING

• Deep Technical Proficiency: Robust knowledge of ASC 606 within the technology sector, with specific experience managing revenue across SaaS, hardware, and hybrid business models.
• Global Accounting & Statutory Knowledge: Solid understanding of international accounting principles and the complexities of multi-entity consolidations and statutory reporting requirements across different regions.
• Systems & Digital Fluency: Practical experience with enterprise-grade ERPs (like SAP or NetSuite) and a proactive mindset toward adopting machine learning and automation tools to enhance financial workflows.
• Collaborative Leadership: Proven experience managing accounting professionals and the ability to partner effectively across Finance, IT, and GTM functions to solve complex operational challenges.

We are primarily an in-office environment, and therefore, you will be expected to work from the Dublin, Staines or Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI ON-SITE

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to build some of the world’s most powerful and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The C++ Ecosystem team builds C++ support across CLion and IntelliJ IDEA. As AI drives a new era in software development, we’re working hard to ensure that our products integrate AI capabilities effectively and stay at the forefront of the AI-powered software development tooling industry.

We are seeking an experienced C++ Development Lead to drive the team’s efforts in delivering AI-enhanced products and building new AI-powered solutions.

In this role, you will:

• Join an engineering team with diverse levels of experience and expertise – with a focus on integrating AI into our existing products and working on new AI-powered offerings.
• Collaborate effectively with product managers, ML and QA engineers, stakeholders, and senior developers to shape and deliver the roadmap.
• Contribute to the product roadmap and participate in the feature design process.
• Constantly refine team processes and culture to ensure smooth delivery and agility.
• Act as a coach rather than a manager who’s detached from hands-on work – spending some time personally designing and working on technical tasks and software architecture.
• Rapidly assimilate extensive technical information and dive deep into mature codebases.
• Coach your team members on their technical and soft skills and provide them with feedback to help them improve every day.

We would be delighted to have you on our team if you have:

• Substantial previous experience with Kotlin and/or Java
• Bleeding-edge knowledge and interest in the current landscape of AI technologies used in software development tooling. You read the latest news, constantly try new tools, and know how agents work under the hood.
• A proven record of joining mature teams and making a major impact as an individual contributor.
• A proven track record of proposing and implementing radical solutions that move the needle on complex technical issues without sacrificing existing quality.
• The ability to communicate effectively with a diverse set of colleagues, including both managers and peers.
• A clear understanding of product management and its role in the development life cycle as a whole.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

Why this role exists:

This role exists to scale our market presence and drive high-quality lead generation. You’ll help us hit aggressive growth targets by owning the entire media lifecycle—from strategic channel selection to the final click and conversion.

What you’ll drive:

Strategy & Media Planning

• Own the end-to-end media strategy across Meta, LinkedIn, Google, and DSPs to ensure our brand is where our audience lives.
• Partner with the Marketing Manager to translate business goals into high-performing campaign structures and KPIs.
• Audit market trends and competitor movements to identify untapped opportunities in high-risk or niche B2B sectors.

Execution & Optimization

• Ship data-driven ad placements, managing significant budgets with a relentless focus on ROI and efficient fund allocation.
• Measure real-time performance using GA4 and platform analytics, pivoting strategies instantly when data reveals a bottleneck.
• Scale winning campaigns while ruthlessly cutting underperforming spend to maintain a lean, high-impact engine.

Analysis & Reporting

• Simplify complex datasets into actionable insights through regular performance reports that tell a story, not just list numbers.
• Negotiate with media vendors to secure premium placements and better rates, maximizing the impact of every dollar spent.

What makes you a GR8 fit:

Must-have:

• 4+ years of hands-on media buying experience (Agency background is a massive plus).
• You understand the long-tail conversion cycle and how to reach professional decision-makers.
• Deep technical mastery of Google Ads, LinkedIn Ads, and Meta Ads Manager.
• You’ve navigated the complexities of regulated or high-risk industries and know how to get ads approved where others fail.
• You don’t just "look" at data; you use GA4 and platform tools to drive 10% MoM improvements.
• Upper-intermediate or higher (you’ll be communicating across global markets).

Nice-to-have:

• Experience with DSPs and Programmatic buying.
• Creative copywriting skills for ad testing.
• Bachelor’s degree in Marketing or Advertising.

Why this role exists:

This role exists to bridge the gap between ambitious business goals and high-performance engineering reality. You’ll help us scale our technical ecosystem by taking full ownership of architectural blueprints, governance standards, and the long-term stability of our distributed systems.

What you’ll drive:

Strategy & Architecture Design

• Define and evangelize technology principles that balance short-term delivery with long-term system vitality.
• Architect distributed systems using Domain-Driven Design (DDD), CQRS, and Event-Driven Architecture (EDA).
• Select and validate the right tools—from Kafka streams to NoSQL stores—to solve specific scale bottlenecks.

Resilience & Governance

• Design for failure by implementing patterns like Circuit Breaker, Bulkhead, and advanced Rate-limiting.
• Establish governance frameworks that unblock developers rather than slowing them down with bureaucracy.
• Optimize data strategies, including sharding, replication, and performance tuning for SQL/NoSQL databases under heavy load.

Delivery & Cloud Evolution

• Build scalable infrastructure using Kubernetes, Docker, and Infrastructure as Code (Terraform/Ansible).
• Modernize CI/CD pipelines to ensure automated, secure, and rapid deployments.
• Drive FinOps initiatives to ensure our cloud architecture is as cost-efficient as it is performant.

Technical Leadership

• Unblock engineering teams by breaking down complex problems into clear, documented architectural blueprints.
• Lead architecture reviews and mentor senior engineers to foster a culture of technical excellence.

What makes you a GR8 fit:

Must-have

• 5+ years in senior/lead engineering roles with a proven track record in Microservices, EDA, and DDD.
• Deep understanding of CAP theorem, ACID properties, and implementing fault-tolerance patterns.
• Hands-on mastery of AWS or Azure, including Kubernetes, Docker, and Terraform (IaC).
• Expert-level SQL/NoSQL knowledge, including database sharding, replication, and query optimization.
• Proficiency in Kafka (architecture, stream processing, and optimization for reliability).
• Master’s degree in Computer Science or a related technical field.

Nice-to-have

• Understanding of IAM, PKI, and building secure VPC/Hybrid cloud environments.
• Experience with GitLab CI/GitHub Actions and optimizing cloud infrastructure costs.
• Designing monitoring strategies using APM tools and logging frameworks for full system visibility.
• Proven ability to migrate monoliths to cloud-native architectures without downtime.
• Experience in technical mentoring, code reviews, and driving engineering excellence across teams.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the role:

8am is hiring a Software Development Engineer in Test to embed within our SaaS Platform team, the group that owns customer identity, authentication, provisioning, roles and permissions, risk profiling, and the APIs every other 8am product consumes. You will own the test automation strategy for that team and partner with engineers from requirements through release.

We do not embed SDETs everywhere. We place them where the rate of change and blast radius warrant it. SaaS Platform is one of those places. QE owns test strategy, risk assessment, and quality gates; SDETs own the automation that makes those gates enforceable. Your focus is end-to-end flow coverage of the critical user journeys that exercise the platform in production, plus contract coverage of the APIs downstream products depend on. We do not chase atomic line coverage at the E2E layer. Your work directly supports our Defect Leakage Rate target of under 15%.

This role is hired through an Employer of Record (EOR) partner in the Czech Republic.

About us:

8am builds software that helps professionals run stronger businesses. Our platform powers payments, client experience, and operational workflows for legal, accounting, and other service-based businesses. U.S. based professionals count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

More than 250,000 professionals across the U.S. rely on our products every day. As we continue to grow, we’re investing in the next generation of our platform and are looking for experienced engineers who want to help shape its future.

What you'll do:

• Own the E2E flow automation strategy for SaaS Platform, prioritizing critical customer journeys (auth, provisioning, identity, role and permission flows) over exhaustive atomic coverage. 
• Build and maintain automation in Python with Playwright for UI flows and PyTest for API and contract coverage, contributing back to our internal framework when you find gaps.
• Integrate tests into CircleCI and our tiered quality gates (PR smoke, nightly, pre-release regression) so gates are enforceable, fast, and trustworthy. Flaky tests are a defect; treat them like one.
• Validate authentication, provisioning, and role/permission flows, and the OpenAPI contracts that downstream products depend on across MyCase, DocketWise, CASEPeer, and LawPay.
• Partner with the Quality Engineers on your squad/across the organization: they surface the risk and coverage signals; you close them with automation.
• Use AI tooling where it accelerates real outcomes: test plan generation, code review, automation scaffolding, and coverage gap analysis through our Qase MCP integration. 

About you:

• 6+ years in software development or test automation, with demonstrated experience designing E2E automation around critical flows rather than chasing coverage targets. Familiarity with risk-based testing and the test pyramid as working concepts, not buzzwords.
• Advanced to expert in Python and PyTest, with deep experience across both front-end (Playwright) and API test automation.
• Hands-on experience testing authentication, provisioning, and role/permission systems, including OAuth, SAML, and SSO. Comfortable with API contract testing and OpenAPI specification development and validation.
• Advanced SQL for complex test data setup and validation. Strong Linux fundamentals and working knowledge of TCP/IP, HTTP/HTTPS, DNS, and TLS for debugging auth and API failures from packet captures or dev tools.
• Working proficiency with cloud infrastructure (AWS or GCP) and containerization (Docker, Kubernetes), and experience integrating tests into CI/CD pipelines (CircleCI preferred).
• Hands-on fluency with AI-assisted development and testing tools (Claude Code, Cursor, GitHub Copilot, or comparable), including prompt design that produces reliable output and the judgment to know when to throw AI output away.
• Past experience standing up a test automation framework from scratch, plus exposure to Quality KPIs, QaaS initiatives, and PCI compliance in payments or identity systems.
• Experience with test case management (Qase or TestRail), defect tracking in Jira, and mentoring SDETs to automation proficiency.
• Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.
• This position is preferably based in Brno, Czech Republic

Why join our new 8am Brno hub?

• Founding Team Impact: Be a founding engineer of our new Brno R&D hub. After a brief 1-6 month integration with U.S. based teams, you will help form fully autonomous, locally-led squads with clear paths to Staff and leadership roles
• Drive our "AI-First" Transformation: We are building a secure, massive-scale "Unified AI Platform". Depending on your squad, you will either help architect this core infrastructure (LLM routing, RAG, agent orchestration) or build directly on top of it.
• Build the Next Generation of Our Platform: Help shape the systems powering products used by more than 250,000 professionals. You’ll work on complex platform capabilities across payments, workflow automation, and AI-powered features as we expand into new professional service markets.

Benefits and Perks

We offer a competitive, locally relevant benefits package designed to support your life in the Czech Republic while giving you access to global opportunities:

• Performance bonus opportunities and employee referral rewards
• Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations, plus additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage

Grow Your Career

• Access to Coursera (including Gen AI Academy) and ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement

What Makes 8am Different:

• International company environment with collaboration across Europe and the U.S.
• Opportunities to travel for company events (including potential U.S. visits)
• Engaging team culture with local events, outings, and community initiatives
• High-quality company swag and programs focused on wellness, learning, and connection

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. 

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up. 

JetBrains is a global software development company. Since 2000, we’ve built developer tools used by more than 15 million people worldwide, and 88 Fortune Global 100 companies are our customers.

We’re looking for a Global Food Manager to lead and develop JetBrains’ global food and hospitality ecosystem as a strategic pillar of the employee experience. In this role, you will take end-to-end ownership of the global food function across all JetBrains locations, including strategy, design, launch, operations, and continuous optimization – with direct accountability for budget, vendor ecosystem, quality, and performance metrics.

You will design and operate a scalable, data-driven, and culturally consistent global food program, integrating cafeterias, coffee points, and social spaces into a cohesive workplace hospitality experience that enhances employee well-being, productivity, and engagement.

What you’ll do:

Global strategy and operating model

• Define and implement a global food and hospitality strategy aligned with JetBrains’ culture and employee needs, with full ownership of the global operating model.
• Assess and develop existing local food service structures, approaches, and schemes, integrating them into a cohesive global model.
• Establish tiered service models based on office size and function (e.g. hub, regional, satellite).
• Build and maintain a global playbook for launching and scaling food services across locations.
• Balance global consistency with local market adaptation.

Workplace hospitality experience

• Design food spaces as social and collaboration hubs, not just cafeterias.
• Integrate coffee and tea culture, grab-and-go solutions, and informal meeting spaces.
• Partner with global workplace and architecture teams on layout, flow, and capacity optimization.
• Own and support the end-to-end planning and development of food services in new offices, expansions, and renovations.

Vendor ecosystem and partnerships

• Manage a global vendor ecosystem.
• Define global selection frameworks focused on culinary quality, cost efficiency, sustainability, and scalability.
• Lead major tenders in collaboration with the Procurement and Legal teams.
• Establish and manage long-term strategic partnerships with key vendors.

Operations and performance management

• Oversee global food service performance across all locations.
• Define and implement standardized operating metrics, reporting, and performance tracking.
• Ensure compliance with food safety, hygiene, and local regulatory requirements.
• Support local teams while enforcing global standards and accountability.

Culinary strategy and innovation

• Define global menu frameworks emphasizing balanced nutrition, cultural diversity, and quality.
• Introduce modern food concepts such as plant-forward options, flexible pricing models, and digital ordering systems.
• Drive continuous innovation together with local teams and suppliers.

Health, well-being, and sustainability

• Position food as a key component of employee health and well-being.
• Define and track measurable targets for healthy eating, food waste reduction, and sustainable sourcing.
• Partner with ESG teams to align with company-wide sustainability commitments.

Financial ownership

• Manage the global food budget and take full responsibility for P&L.
• Define and control cost per employee, subsidy levels, and vendor pricing structures.
• Continuously optimize the balance between quality, cost, and employee satisfaction.

Data and analytics

• Build and own a data-driven approach to food services.
• Track consumption patterns, satisfaction, and waste metrics.
• Use insights to optimize menus, pricing, and vendor performance.

Cross-team collaboration and stakeholder engagement

• Partner with the Global Workplace, HR, Finance, ESG, Facilities, and Office Management teams.
• Integrate food services into broader employee experience and benefits programs.
• Build strong relationships with internal stakeholders and external partners.

Employer brand and culture

• Position food as an integral part of the JetBrains employee experience.
• Support office tours, hiring events, and internal initiatives through high-quality food programs.

We’d be glad to have you on our team if you:

• Have extensive experience in multi-location food services, hospitality, or workplace experience leadership.
• Have experience managing international operations at scale.
• Demonstrate a strong ownership mindset with proven P&L responsibility.
• Have a deep understanding of food operations, workplace experience, and vendor ecosystems.
• Are comfortable operating both strategically (global design) and operationally (execution).
• Have strong knowledge of food safety regulations, quality standards, and compliance requirements.
• Possess excellent stakeholder management and communication skills.
• Care deeply about culinary quality, sustainability, and innovation.
• Are fluent in English.
• Are willing to travel internationally when required.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID
#LI-MH2

How You'll Make an Impact:

Cloudbeds is looking for a Product Manager to own and evolve the core accounting and financial operations systems that power the Cloudbeds platform. This role sits at the intersection of hospitality operations and accounting, shaping how tens of thousands of properties worldwide handle folio transactions, record money movements, close their books, and integrate with downstream financial systems.

You will be responsible for defining the product vision and execution strategy for the financial backbone of Cloudbeds, ensuring accuracy, auditability, and scalability while supporting diverse operational workflows across regions, property types, and accounting practices.

This is a high-impact role working on mission-critical, high-trust systems used daily by hotel operators, finance teams, and integration partners.

Our Product Team:

Our team is energized by tackling complex problems and turning them into elegant and scalable solutions. We collaborate openly with deep respect for diverse perspectives, value candid feedback, and rely on strong async communication to move fast while staying aligned as a remote-first team. People who can create structure from ambiguity and push ideas forward with others do especially well here.

What You Bring to the Team:

• Own the strategy and lead the execution of our financial operations & accounting products within the Cloudbeds Platform
• Lead accounting integrations from end to end, with a focus on platform extensibility, clear documentation, and an excellent developer experience for partners and customers
• Drive user discovery to deeply understand workflows, constraints, and pain points
• Translate business and customer needs into concise and detailed product requirements
• Use data to validate hypotheses and to justify product decisions
• Define success metrics and track progress throughout product life cycle
• Collaborate closely with engineering, design, and integration partners to deliver world-class products

What Sets You Up for Success:

• 5+ years of product management experience with SaaS products in finance, accounting, payments, or other high-trust systems
• 2+ years of experience collaborating with fully remote, international multi-disciplinary teams
• Solid understanding of accounting fundamentals
• Strong critical and analytical skills to solve real customer problems
• Ability to articulate complex concepts to cross-functional audiences
• Demonstrated ability to use AI thoughtfully as a force multiplier, while applying sound product judgement for final outputs
• Curiosity to learn new things and challenge the status quo
• Degree in Business, Finance, Accounting, Computer Science, or a related field

Bonus Skills to Stand Out (Optional):

• Prior experience in the hospitality or travel industry
• Knowledge of hospitality-specific accounting software ecosystems and integrations
• Experience building PMS, ERP, or accounting products
• Experience working with compliance, audit, or regional accounting requirements

#LI-SD1

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. The salary starts at €4,800 gross per month, along with restricted stock units and other benefits. 

Your Responsibilities:

• Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows
• Process historical data, product catalog and user behaviours to extract hidden relations and features.
• Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
• Work closely with ML Engineers to integrate and scale ML components to a production-level that can handle terabytes of data.
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

Qualifications:

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• At least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in BigQuery.
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
• Effective communication skills in English, both verbally and in written form.

#LI-KP1

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis.

Your Responsibilities:

• Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows
• Process historical data, product catalog and user behaviours to extract hidden relations and features.
• Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
• Work closely with ML Engineers to integrate and scale ML components to a production-level that can handle terabytes of data.
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

Qualifications:

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• At least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in BigQuery.
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
• Effective communication skills in English, both verbally and in written form.

#LI-KP1

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI