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. 

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.

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.

• Ensure reliability, availability and performance of compute nodes running VMs
• Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer
• Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling
• Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies
• Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs
• Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements
• Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability

• Experience with Kubernetes internals or node-level components
• Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps)
• Familiarity with large-scale compute or bare-metal platforms
• Contributions to open-source infrastructure or system software
• Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand

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.

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 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 office in Prague or in Amsterdam, 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.

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.

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

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 looking for a Senior Network Engineer to join our team to ensure smooth and stable operation of data center infrastructure, points of presence, and our own backbone network. The engineer will also design and develop data center networks with thousands of server ports, InfiniBand-based GPU cluster interconnect networks, and automation and management tools for such networks.

You’re welcome to work in our office in Amsterdam.

Your responsibilities will include:

• Provide technical design, operations, duties and assistance to related cross-functional teams, including the internal R&D team, HWaaS, and all-around cloud overlay & underlay network environments.
• Develop monitoring and automation tools.
• Contribute to the launch of new regions within our cloud and GPU platforms.

We expect you to have:

• Expert-level (jncie/ccie) expertise in MPLS, routing and switching Service Provider and DataCenter networks, Ethernet switching/vxlan, routing (BGP/isis), SR mpls+v6, traffic balancing/ECMP, l3 mpls VPN, and cloud overlay network technologies.
• Experience in developing and documenting a network design.
• Experience in developing plans for testing network infrastructure and vendors.
• Experience diagnosing problems with the TCP/IPv4/v6 protocol stack in a CLOS topology data center network.
• Knowledge of the design and internal architecture of modern network equipment, QoS mechanisms, and operations.
• Experience working with Juniper, Arista, Huawei, and Mellanox switches and routers.
• Working proficiency in English.

It would be an added bonus if you had:

• Working proficiency in any other European language
• Working knowledge of public clouds and GPU+infiniband networking
• Knowledge of software-defined networking overlays for the cloud environment
• Knowledge of Python, Go, or other popular programming languages in the Linux environment.
• Experience using these programming languages for task automation.

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.

THE ROLE

The FlashArray team builds high-performance, highly available storage solutions designed for mission-critical applications. While FlashArray is delivered as a hardware product, the majority of innovation comes from software, with most of the engineering team focused on software development. Customers value FlashArray for its simplicity, continuous delivery of new capabilities, and ability to evolve without downtime.

Each FlashArray includes containerized edge services that enable cloud-like connectivity, management, and extensibility.

This role focuses on integrating edge services into the FlashArray platform, combining software engineering with Linux-based systems expertise.

WHAT YOU'LL DO

• Analyze and solve complex technical challenges with a thoughtful and persistent approach
• Design and implement algorithms and technologies for high-performance, highly reliable systems
• Own and deliver features end-to-end, from concept through production
• Collaborate with teammates to build and improve systems together
• Contribute to customer-focused solutions that prioritize reliability and ease of use
• Continuously learn and grow within a supportive engineering environment
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience across the software development lifecycle, from design through deployment and maintenance
• Proficiency in Python and/or Go, with development experience on Linux/UNIX systems
• Familiarity with container technologies aligned with OCI standards (e.g., Docker, Podman) and backend systems designed for high load and availability
• Ability to analyze systems, including requirements, performance, reliability, and risk considerations
• Experience with automated testing and practices that support code quality and continuous improvement
• A collaborative approach, curiosity, and interest in system design and problem-solving

 #LI-ONSITE

THE ROLE

Everpure Cloud Dedicated (formerly Cloud Block Store) is Pure’s enterprise storage solution running in the public cloud. It brings the same features customers know from FlashArray - like data reduction (deduplication and compression), snapshots, encryption, and replication - directly into AWS and Azure. Because we reduce how much data actually needs to be stored and how many native cloud disks are required, customers can run their workloads in the cloud with lower storage cost and predictable performance instead of over‑provisioning native cloud volumes.

The service has been in production since 2019, serving enterprise, SaaS, and multicloud customers. It also acts as the storage engine for other Everpure Cloud offerings, such as Everpure Cloud Azure Native, where Azure users consume Pure storage as a native Azure service.

Our Prague‑based team owns the project on both AWS and Azure end‑to‑end. We design and build the core storage architecture, handle resiliency and performance work, and drive deployment and upgrade mechanisms. We also work closely with product managers, support, and field teams on customer issues and roadmap priorities. Because we run on top of AWS and Azure, we must deeply understand their building blocks (VMs, disks, networking, databases) and how Purity behaves on top of them.

For this role, we are looking for engineers who are curious about how things really work in the cloud, enjoy solving complex distributed‑systems problems, and are comfortable in a fast‑changing environment. Unlike traditional hardware projects, our work has to keep pace with new cloud services and features. You will help us evaluate new AWS and Azure capabilities and integrate them into our product to improve resiliency, performance, and cost efficiency for customers - while keeping the familiar, “FlashArray‑like” experience that Pure is known for.

WHAT YOU'LL DO

• Design, implement, and review new features in the Everpure Cloud Dedicated data path, primarily in C++ and/or Python, running on AWS and Azure.
• Improve the resiliency, performance, and cost efficiency of our cloud storage stack (failover behavior, HA, capacity expansion, data reduction, cloud‑specific optimizations).
• Participate in our triage rotation: analyze failures from CI pipelines and automated tests, debug issues on CBS testbeds, and drive fixes into the codebase.
• Lead or co‑lead the investigation of product issues in customer environments, from initial escalation through root‑cause analysis and long‑term fixes.
• Collaborate closely with Prague and US teams (data‑plane, control‑plane, QE, Support, Product Management, Solution Architects) to align on designs, rollouts, and operational best practices.
• Contribute to and maintain technical documentation and runbooks so that other engineers, support, and field teams can operate the product with confidence. 
• 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.

WHAT YOU BRING

• Solid basis in software engineering foundation building and maintaining backend or system‑level components in production.
• Strong programming skills in C++ or Python and a willingness to pick up new languages, tools, and frameworks as needed.
• End‑to‑end ownership mindset – from design and implementation through tests, CI pipelines, deployment, monitoring, and iterative hardening in production.
• Strong debugging and problem‑solving skills, including working with complex logs, CI failures, and issues that cross service boundaries, APIs, and cloud components.
• Curiosity and a growth mindset – you want to understand how things really work (storage, networking, cloud infrastructure) and you share that knowledge with others.
• Collaborative way of working – you communicate clearly, give and receive feedback well, and are comfortable working with distributed teams (Prague, US, and cross‑functional partners).
• Experience building or operating products in the public cloud (Azure, AWS, or GCP) is a plus, especially around reliability, performance, or cost optimization.
• Nice to have: experience with Linux, multi‑threaded or performance‑sensitive code, or CI/CD automation.

#LI-ONSITE

THE ROLE

As a Technical Support Engineer (TSE), you will be part of our 24x7 global support team, helping customers run their business-critical workloads on Pure. You will work on issues spanning hardware, software, and customer environments, combining deep technical troubleshooting with clear, calm communication.

Our culture is built on Persistence, Creativity, Teamwork, Ownership, and Customer First. You will be expected to live these values every day while collaborating closely with peers across Support, Engineering, and the field.

WHAT YOU'LL DO

• Own and resolve support cases across a range of severities, including high-urgency incidents impacting customer production environments.
• Troubleshoot complex environments involving storage, networking, operating systems, hypervisors, and applications, using logs, traces, and remote access tools.
• Drive clear customer communication: set expectations, share action plans, and provide concise, professional updates until the issue is fully resolved.
• Collaborate with internal teams (PSE, Engineering, Escalation Management, SEs, and field) to drive faster resolution of complex issues and long-running escalations.
• Document learnings in internal notes, JIRAs, KBs, FAQs, and runbooks so others can benefit from your work and we continually improve our service.
• Contribute to team development by sharing knowledge, delivering trainings/brown-bags, and informally mentoring less-experienced engineers.
• Participate in shift, weekend, holiday, and on-call rotations as needed for a 24x7 global service.

WHAT YOU BRING 

• Several years of experience in a customer-facing technical support, systems engineering, or systems administration role (enterprise or service provider).
• Proven track record of handling production incidents and escalations, working calmly and methodically under pressure.
• Solid understanding of enterprise storage concepts (SAN, Fibre Channel, Ethernet, IP, iSCSI) and how they integrate with hosts and applications.
• Proficiency with at least one major OS / platform (e.g., Linux, VMware, Windows, UNIX variants) and willingness to deepen expertise over time.
• Ability to read and interpret logs, correlate symptoms across layers, and build a clear troubleshooting narrative.
• Comfort using CLI/SSH and common tooling to diagnose performance, connectivity, and configuration issues.
• Excellent written and verbal English, able to explain complex technical topics in a clear, structured, and empathetic way to diverse audiences.
• Strong ownership mindset: you stay with the problem, coordinate stakeholders, and drive to closure rather than handing off.
• Ability to prioritize across multiple active cases, balancing SLAs, impact, and customer expectations.
• Collaborative, feedback-seeking approach; you are comfortable asking for help and equally comfortable helping others.
• Growth mindset: you actively look for opportunities to improve processes, tools, and documentation, not just fix the current ticket.
• 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.

Nice to have

• Experience with Everpure products or other enterprise storage platforms.
• Familiarity with virtualization platforms (e.g., VMware vSphere), databases, or major applications commonly running on enterprise storage.
• Exposure to SaaS support tooling (Salesforce, JIRA, knowledge bases, observability tools, etc.)

#LI-ONSITE

THE ROLE

The FlashArray team builds the industry’s most innovative, high-performance, and highly available portfolio of products that are designed for the most demanding mission-critical applications. While we deliver a hardware storage array, over 90% of our engineering staff are software engineers. Our customers are the most important part of our business, and they love FlashArray for its simplicity of management, the constant flow of new and exciting upgrades, and the ability to live on the cutting edge of technology while never taking downtime, ever. Most recently, we extended the value of our FlashArray capabilities into the cloud with CloudSnap and Cloud Block Store for AWS. These new innovations enable our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications.

This particular role is for a security-minded software engineer. 

WHAT YOU'LL DO

• Design and implement creative new algorithms and technologies for high-performance, highly reliable systems (think six 9’s)
• Own and deliver FlashArray product security features end-to-end, from concept to shipped product
• Analyze and solve challenging problems through persistence and insight, with an eye toward making FlashArray more secure
• Work as a team with smart peers who inspire you and who are inspired by you
• Make customers really happy, because that’s why we do what we do
• Learn a ton, whether you know a lot, or nothing about system software 

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

• Years of experience using a systems programming language (e.g. C++, Java or Python, etc) 
• Natural curiosity with proven design sensibility and willingness to work in a collaborative, team oriented environment
• Experience in any number of related systems software projects e.g: Distributed systems, operating systems, Linux Kernel, Database internals, Hypervisors, Containers, Compiler Optimization, etc.
• Experience with security technologies (encryption, network security, application security, etc.) is a strong plus, but a lack of relevant work experience shouldn’t deter an otherwise qualified candidate from applying 

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

Data is the new oil. If you run a business, and you want to do anything with your data, the first thing you need to do is create the infrastructure required to store and query that data. This is where Everpure comes into play - with a variety of hardware and software solutions to get the maximum out of your data.

THE ROLE

You will be responsible for all of Everpure’s infrastructure, internal tooling and production services. We work with all internal engineering teams to provide reliable services that are used to develop new products and features, in many different environments: from our data centers to the public cloud.

As a Reliability Engineer, your task will be to redefine the resiliency  of Everpure's critical infrastructure applications by owning the design and implementation of the future of observability within Pure, help us define the future of application data and incident management within Pure, using cutting edge technologies leveraging AI to reduce engineering toil.

We are looking for engineers who have a mix of software and systems skills, are passionate about reliability, performance, and efficiency, and have experience building tools, services, and automation to manage and improve production services.

WHAT YOU'LL DO

• Design, operate, maintain, and troubleshoot enterprise systems such as databases, message queues, APIs, and distributed applications through the use of data and metrics such as SLOs and error budgets.
• Establish and practice sustainable incident response and blameless postmortems to prevent problem recurrence.
• Support services before they go live through activities such as system design, developing software platforms and frameworks, capacity planning, and launch reviews.
• Scale systems sustainably through mechanisms like scripting and automation; evolve systems by pushing changes that improve their operational management reliability and velocity.
• Collaborate with team members, across business units, and across multiple time zones to create high quality customer outcomes.

WHAT YOU BRING

• Demonstrated Coding ability with any functional or object oriented programing languages (Preferred Python/Go);
• Demonstrated experience in design, implementation, delivery, and maintenance of large scale, distributed software systems;
• Able to work in a 24x7 on-call rotation using a follow the sun model (i.e. 8am to 8pm local time pager duty, approximately 1 week every 2-3 months);
• Systematic problem-solving approach, strong communication skills, and a sense of ownership and drive;
• Experience in analyzing performance & troubleshooting distributed Systems.
• 5+ years as a Site Reliability Engineer, DevOps Engineer, or Infrastructure engineer;
• Strong understanding of Unix/Linux;
• Experience working with Infrastructure as Code / Automation tools (ArgoCD, Ansible, Terraform, CloudFormation);
• Well organized, with ability to prioritize tasks independently, set goals and follow through in order to see them to completion; 
• Experience with containers and container orchestration systems, in particular Kubernetes;
• Expertise with hybrid (bare metal/public cloud - AWS preferred) cloud environments.

About The Role  

As a Post Sales Solution Architect at IP Fabric, you will work closely with our Customer Success Managers to understand customer requirements and provide technical expertise, in order to engage with clients post-sales to understand their requirements and business objectives and facilitate resolution of complex issues where/when appropriate. 

Responsibilities

Customer Engagement & Solution Delivery:

• Guide customers through their journey with IP Fabric, ensuring successful adoption and ongoing value realization.
• Understand the limitations of traditional network management approaches and the opportunities in leveraging network data to transform enterprises.
• Refine and validate use cases and outcomes created by the Pre-Sales team and establish post-sales acceptance criteria.
• Conduct training sessions and provide ongoing client support to maximize the effectiveness of implemented solutions.
• Identify and nurture customer champions to drive long-term engagement.
• Develop and draft clear and concise Statements of Work (SOWs) that outline project scope, deliverables, timelines, and resource requirements.
• Manage project progress, identify risks, and implement mitigation strategies to ensure successful project outcomes.
• Occasionally travel for company meetings, industry events, and customer visits (once to three times a quarter).

Cross-Functional Coordination  

• Collaborate with product management, product marketing, and engineering to provide field-facing feedback that influences the product roadmap.
• Work closely with IP Fabric’s support and sales teams to maximize customer satisfaction and engagement.

Technical Expertise  

• Deploy and provide basic support for the IP Fabric platform in customer environments, including understanding deployment methods, platform limitations, and administrative access requirements.
• Assist sales and technology partners in integrating IP Fabric into broader solutions.
• Scope, design, and oversee the implementation of targeted solutions, extensions, or integrations that enhance the core product offering.

Requirements

• 2+ years of experience in post-sales engagements or professional services for enterprise B2B hardware or software solutions, ideally in the networking space (Network Observability, Network Monitoring, Network Security, Network Automation, etc.).
• A customer-first perspective with a consultative approach to solution delivery.
• A background in network engineering or architecture, with a strong understanding of networking technologies and protocols.
• Experience in professional services functions, including project scoping, SOW creation, and solution implementation.
• Familiarity with server virtualization technologies.
• Basic understanding of programming languages and APIs.
• Strong project management skills with the ability to manage multiple customer engagements simultaneously.

Ways To Stand Out From The Crowd:  

• Strong understanding of NetDevOps workflows including automation, infrastructure-as-code, python, git, Ansible, and similar tools. 
• Ability to code in Python, sufficient to develop custom prototype solutions for customers. 
• Proven wins as a technical post-sales engineer/architect. 

Benefits & Perks

• 25 days of paid time off.
• Anniversary rewards.
• Competitive commission structure.
• Full remote setting.

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive and Proton Pass. These tools empower individuals and organisations to take control of their personal data, break away from Big Tech’s invasive practices and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, coming from the world's top companies and universities. We value intelligence, learning potential and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You'll have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

Role overview

Databases are the backbone of Proton's constantly growing list of services and must scale along with our growth while being highly reliable. You'll join the database team in our infrastructure department to improve and scale our databases while maximising availability and keeping our data safe and secure. You'll collaborate with other infrastructure and development teams to ensure that database best practices are built into every aspect of design and implementation, improving automation and reducing manual operations of Proton's database platform. In this role you'll be able to effectively drive how our database platform will look like in the future, improving the user experience of millions of people around the world.

What you'll do

• Support and manage web-scale fleet of mission-critical MySQL databases accessed through ProxySQL
• Boost existing automation in order to reduce operational workload and increase reliability
• Design, implement and execute new operational procedures and processes
• Use your programming/scripting skills to improve and create new code in order to help managing our database platform
• Provide expertise to optimise various layers of database infrastructure, including hardware, OS, storage and network configurations
• Troubleshoot complex technical problems to understand root causes and provide workarounds with long-term solutions
• Keep our database platform up-to-date by preparing and executing upgrades of the full stack

What you'll bring

• 3+ years of experience working with highly available databases systems
• Programming/scripting experience
• Knowledge of MySQL, ProxySQL, Ansible and Linux
• Background in performance tuning and problem diagnosis at the OS, database and application levels
• Experience with software management configuration tools (eg. Puppet) and observability solutions (eg. Prometheus, Grafana, Loki, PMM, Icinga)
• Basic knowledge of networking, server hardware, storage and operating systems knowledge relevant for databases
• Willingness and ability to learn quickly
• Readiness to share knowledge and collaborate with other engineering teams on delivering optimised solutions
• Proactivity, trustworthiness, honesty, openness and helpfulness

Even if you don’t meet all the requirements listed above but feel you could still be a great fit, please do apply.

What we offer

• Technology: we provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals
• Learning & Development: we are committed to your professional growth – Proton offers various learning opportunities, including training programs, conferences/events and continual learning
• Employee Benefits: comprehensive health insurance plans, competitive retirement savings options, generous vacation/leave policies and wellness programs
• Stock Options: at Proton, we are all owners of the company and you get stock options when you join us
• In-Person Collaboration: collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje and Taipei – you can enjoy working from home for up to 30% of the time, while enjoying great company culture during our three core days in the office (depending on the role, fully remote positions may also be available)
• Food: lunch and snacks are provided by Proton every day at our offices
• Transport: we'll always support our employees with transport costs through subsidising public transport, bike allowances or parking spaces based on your office location
• Flexible Working: you can define your own working hours as long as it works with team meetings
• Work that Matters: Proton is a community-first organisation, started with the support of a crowdfunding campaign and built with community input – to this day, Proton’s only source of revenue is user subscriptions: over 100 million people trust and support Proton, and we put our users and community first in everything we do (read more about our impact here)

Our commitment to diversity and inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability or socio-economic background feel valued and empowered. We strive to create equal opportunities, promote open dialogue and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate privacy notice

When you apply for a position, refer a candidate or are considered for a role at Proton Technologies AG (Proton, we, us or our), your information is stored in Greenhouse, in accordance with its Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymise it. Should you have any inquiries about how we use or manage your information or if you wish to access, correct or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited CVs from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

The remote development functionality in JetBrains products redirects IDE-heavy processing from a local machine to a powerful remote server, reimagining how developers work. With hardware performance no longer a limitation, developers can work from anywhere while benefiting from improved security, stability, and reliability.

We're looking for a QA Automation Engineer to join the Remote Development team and help ensure that the products software engineers around the world rely on daily are of the highest quality.

You'll work alongside QA Engineers to design and implement automated testing scenarios that catch issues before they reach our users, cover regressions with automated tests, and improve automation processes within the team.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated tests (UI, E2E, functional, and integration) across multiple platforms and environments: Linux, Windows, macOS, Docker, and WSL.
• Expand test coverage for new and existing functionality.
• Monitor automated test execution results.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Improve test automation stability and contribute to automation frameworks.

Quality assurance 

• Report bugs in YouTrack and verify that they are properly fixed and backported. 
• Participate in release quality assessments.
• Collaborate with QA and developers on testability and quality improvements. 
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• The ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English, both written and verbal.
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• The ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual testing.

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.
• 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 we're hiring:

At WPP, technology is at the heart of everything we do, and it is the Technology Operations teams mission, as part of Enterprise Technology, to enable our stakeholders to collaborate, create and thrive. Enterprise Technology is undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences and deliver insight from WPP’s petabytes of data.  

As we continue on this transformation journey….  This role will carry out the effective and efficient everyday technology operations for WPP ET.  A trusted pair of hands to deal with level 1 and 2 issues as they present to the IT Service Desk and a trusted resource for Infrastructure and Management personnel to assist with project work when needed. The role will report into the Enterprise Technology Operations Lead and work closely with other teams within Enterprise Technology.

This is a 100% on site role.

What you'll be doing:

• Deliver world class, on-site support services to WPP employees, agencies, and visiting clients, operating within predefined structure, methodologies, and standards set by WPP ET
• Provide on-site support to the WPP agencies
• Provide remote support, as needed, to WPP agencies across the wider region
• Ensure IT deskside operations and all standard technology services, including meeting room AV, are delivered and supported as needed
• Develop excellent relationships with the business user base
• Lead a customer-centred culture, championing activities to empower end users to get maximum utilization out of their technology tools
• Educate the business on how to use the Enterprise Technology service and maximise benefits
• Log all IT engagements into a ticketing system to ensure IT demand and performance data can be reported upon
• Onboarding and offboarding of new and departing employees, including user account administration and asset management
• Level 1 and 2 incident and problem management, including diagnosis, liaison with appropriate internal and external resources to drive resolution, and ticket management throughout the resolution process
• Ensure security procedures are followed, and 3rd parties are monitored during service engagements
• Act as the primary point of contact for AV support in meeting rooms within the Czechia WPP building
•  Assist users in setting up and troubleshooting AV equipment during meetings and events, ensuring a smooth user experience
• Provide hands-on support with AV hardware and software, including video conferencing systems, projectors, microphones, and speakers
• Conduct regular checks to ensure all AV equipment is functioning optimally
• Maintain an inventory of AV equipment, coordinating with the IT team for repairs, replacements, and upgrades as necessary
• Provide on-site AV support for both internal as well as external events, which may occasionally fall outside regular working hours
• Maintaining IT/Service Desk knowledge base and standard procedures
• Deployment of hardware and software to end users
• Management and installation/removal of break/fix or warranty replacement of IT related equipment
• IT asset procurement, inventory and Life cycle management
• Work with all the IT functions within the Enterprise Technology operating model to ensure the needs of the business are fulfilled
• Support WPP Global in promoting global standards and ensuring local implementation
• Support other IT teams with IT changes and ensure support priorities are localised and executed to plan
•  Perform basic device troubleshooting including resetting devices, cable management, providing console access for 3rd level teams/partners as part of Incident break fix or scheduled changes
• Facilitate and support refresh of local infrastructure (network and server)
• Availability where necessary for out-of-hours support
• Other duties as required

What you'll need:

• 3 – 5 years in an IT help desk / desk side support role
• Strong cross-platform experience in Windows and Mac, along with working knowledge of AV technology
• Excellent problem-solving skills
• Can-do attitude
• Someone that can empathize and communicate effectively with end users
• Builds excellent relationships, based on trust and mutual respect
• Excellent written and verbal communication skills
• Able to manage time effectively and set priorities appropriately
• Able to maintain professional demeanor under stress while remaining friendly and approachable to ensure a positive user experience

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid