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.

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

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.

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

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.

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 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.

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived 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.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

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-REMOTE 
#LI-KT1

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 and 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. While code quality matters, what defines us is our ability to combine strong technical solutions with a sharp business mindset.

About the Role

We’re looking for a Senior Business Analyst to be a key driver in our Business Intelligence (BI) function. In this standalone role within our analytics unit, you will serve as a trusted advisor to stakeholders across departments—turning data into actionable insights that guide strategic decisions and optimize performance.

You’ll work closely with our BI Architect (who handles data governance and warehouse ETLs) and use tools like Tableau and PostgreSQL to create meaningful dashboards and data products. You’ll also bring the drive to explore Agentic BI and AI-driven BI self-service. This role is perfect for someone who thrives independently, enjoys working in a collaborative environment, and brings a proactive, consultancy mindset to problem-solving.

What You'll Do Here

• Collaborate with internal stakeholders to explore use cases, uncover opportunities, and provide recommendations
• Lead analysis initiatives to identify trends, gaps, and growth areas—supporting business expansion and strategic planning
• Design and build optimized data models and visualizations in Tableau that empower teams to make informed decisions
• Utilize the latest Tableau Cloud and Salesforce capabilities, including Tableau Next, to deliver and explore AI-powered, real-time insights
• Drive initiatives to further enable BI at Emplifi through AI
• Translate business requirements into clear data solutions and ensure high-quality execution across dashboards and reports
• Own project management responsibilities, including communication, timelines, and expectation-setting
• Provide data consultancy and training to non-technical stakeholders, enhancing data literacy across the organization

What You’ll Bring To Us

• 3+ years of experience in data analytics, BI reporting, or related fields
• Proven expertise in SQL and a strong understanding of relational databases
• Hands-on experience building complex dashboards in Tableau (or similar BI tools)
• Ability to navigate ambiguity, quickly understand business needs, and translate them into data solutions
• Excellent communication and presentation skills with experience supporting cross-functional stakeholders
• Proactive, self-driven mindset with a consultancy approach to internal partnerships
• Demonstrated curiosity and experience in leveraging AI to improve efficiency and/or scale analytics
• Experience with agile methodologies
• Fluency in English and experience working in global/multicultural environments

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 (Karlin), Brno (Impact Hub), Pilsen (Roudná)
• There’s more as well! Speak with us to find out all the details!

At Emplifi, we are committed to creating a workplace where everyone is valued, respected, and empowered to bring their whole selves to work. We welcome applications from individuals of all ages, races, religions, genders, sexual orientations, gender identities, and LGBTQ+ communities.

Emplifi offers a safe, inclusive, and supportive environment where every employee has the opportunity to thrive and is encouraged to be who they are.

We welcome and encourage applicants with disabilities. Accommodations are available upon request at any stage of the recruitment 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!

THE ROLE

You will be the architect of risk reduction, transforming raw vulnerability data into a prioritized roadmap for a secure enterprise. Your mission is to move beyond "fixing everything" to strategically eliminating the specific vulnerabilities that pose the highest risk to our global infrastructure. By collaborating across Cloud, DevSecOps, and Product teams, you will ensure our security posture is proactive, measurable, and deeply integrated into our delivery lifecycle. This role is a high-impact opportunity to influence how we define "safe" across a modern, multi-cloud environment.

WHAT YOU’LL DO

• Drive Risk-Based Prioritization: Shift the organization from volume-based reporting to intelligence-driven action by correlating vulnerability data with exploitability, asset criticality, and attack surface exposure to ensure teams focus on what matters most.
• Operationalize Global Scanning: Lead the end-to-end operation and continuous improvement of enterprise scanning across AWS, Azure, GCP, and containerized environments to maintain 100% visibility of our digital footprint.
• Enable Cross-Functional Remediation: Partner directly with Infrastructure and Engineering owners to drive remediation efforts against established SLAs, identifying root causes like base-image drift or patching gaps to prevent recurring risks.
• Integrate Defense Context: Collaborate with Detection and Incident Response teams to map vulnerability classes to active threats, helping determine if known exposures contributed to incidents and identifying where new detections are required.
• Engineer Operational Excellence: Automate the lifecycle of a vulnerability—from discovery and Jira ticket creation to final reporting—providing leadership with "Fix Impact Reports" that clearly quantify how our security efforts reduce business risk.

WHAT YOU BRING

The Core Essentials

• 5+ years of experience in security operations, vulnerability management, or security engineering in an enterprise environment (or equivalent practical experience).
• Hands-on experience running vulnerability management programs and working with asset discovery and/or secrets detection tools (e.g., runZero, TruffleHog, GitLeaks, or similar).
• Experience configuring and operating a Zero Trust / secure web gateway platform (e.g., Zscaler ZIA/ZPA or similar) and securing at least one major cloud provider (AWS, GCP, or Azure).
• Proficiency in SIEM detection engineering (preferably Splunk) and scripting or programming in at least one of: Python, PowerShell, or Bash.
• Demonstrated ability to partner with engineering teams to prioritize and drive remediation, and to explain technical risk in clear, business-relevant language.
• 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.

Bonus Points (Preferred Skills)

• Experience with Zscaler ZIA/ZPA specifically, including SSL inspection design, certificate management, and policy tuning in a global environment.
• Experience integrating secrets scanning into CI/CD pipelines and automating remediation.
• Exposure to threat emulation / adversary simulation (e.g., Atomic Red Team) and deception technologies mapped to MITRE ATT&CK.
• Background in penetration testing, red team, or purple team activities that inform defensive control design.

THE ROLE

Join the Digital Experience (DX) business unit to deliver the next generation of intelligent, cloud-native fleet management solutions for our customers. You will contribute to our mission of simplifying operations by building scalable SaaS platforms that leverage AI, security, and automation. This role involves working across the full application lifecycle, from Pure IAM to Pure1 Manage, collaborating with cross-functional teams to translate business needs into resilient, production-ready systems.

WHAT YOU'LL DO

• Own the end-to-end design, development, and operation of mission-critical processing services, ensuring seamless, secure, and compliant data flow between edge devices and the Pure1 cloud platform.
• Partner with Product and Architecture teams to translate complex requirements into scalable, resilient architectural designs that drive significant organizational impact from initial concept through to production deployment.
• Drive continuous innovation by experimenting with new technologies, platform ecosystems, and architectural patterns to improve system performance, security, and cost-effectiveness for petabytes of real-time data.
• Maintain a quality-first mindset throughout the entire software development lifecycle, emphasizing comprehensive unit testing, thorough code reviews, and robust Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Lead the resolution of complex inter-operability issues between new and existing system components, ensuring the platform remains highly available and universally accessible for customers across the globe.

WHAT YOU BRING

• Demonstrated experience in architecting, implementing, and testing various product components within large-scale, complex distributed systems.
• Proficiency in a modern backend programming language (e.g., Go, Python, Java), with a proven ability to write secure, high-performance, and maintainable code.
• Understanding of distributed systems principles, networking infrastructure, and Linux operating environments.
• Hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and proficiency with container orchestration tools like Kubernetes.
• A proven track record of thriving in a highly collaborative, team-oriented environment, with a passion for continuous learning and quickly mastering new technologies.
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague, Czechia office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LIONSITE

As a Senior Data Engineer, you will play a vital role in designing, building, and maintaining the data infrastructure that powers our cyber threat detection research. This infrastructure will enable data scientists and security researchers to make sense of petabytes of data and uncover the threats that matter. You will collaborate closely with cross-functional teams across the company — data scientists, security researchers, product managers, and engineers — to deliver innovative data solutions that help us build best-in-class threat detection and protect our customers.

What will you do?

Primary responsibilities include:

• Design, build, and maintain scalable data pipelines that process petabytes of security data.
• Develop production-grade pipelines, applying software engineering best practices.
• Operate big data infrastructure and cloud data warehouses with a focus on reliability and performance.
• Partner with data scientists and security researchers to deliver impactful data solutions.
• Ensure data quality, observability, and governance across the platform.

Ideal candidates will have:

• 4+ years of experience in data engineering, data architecture, and distributed systems
• Proficiency in programming languages such as Python (that we use), Java, Scala, or similar.
• Experience with cloud-based technologies such as AWS (our primary), GCP or Azure.
• Experience with deploying big data technologies such as Apache Spark, Hadoop, Hive, IceBerg, Trino.
• Familiarity with data warehousing concepts and technologies.
• Experience with data visualization tools such as Tableau, PowerBI, Grafana or similar.
• Strong problem-solving skills, with the ability to develop innovative solutions to complex problems.
• Excellent communication skills, with the ability to clearly present and explain complex data and models to technical and non-technical stakeholders.
• BS or higher degree in Computer Science, Statistics, Mathematics, or related field. Additional or directly relevant experience will be considered in lieu of a degree.
• Experience in leading cross-functional projects between R&D and product teams.

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).

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

As a Senior Software Engineer - Agent (Endpoint Protection) Platform, you will design, develop, and operate large-scale, low-latency applications engineered to process several millions of events per second. You will own the end-to-end lifecycle of high-volume data pipelines, ensuring mission-critical stability and data integrity through rigorous testing and proactive monitoring of key performance metrics. By continuously refining the codebase and optimizing for distributed scale, you will build the resilient backbone that allows SentinelOne’s platform to stay ahead of global cyber threats in real-time.

As part of SentinelOne’s main product line - Endpoint Protection, we secure tens of millions of devices across the globe of all kinds of OS (Windows, Linux, macOS), and process billions of security events every day. Our team provides crucial SaaS platform capabilities, such as:

• High‑throughput, highly available services for policy, configuration and command distribution to millions of agents (protection from SentinelOne installed on the devices) around the world.
• Agent platform protocol for other SentinelOne teams to build upon and ship new security and detection capabilities safely and quickly.
• Reliability, scalability and observability of agent fleet in production, ensuring customers and internal teams have real‑time insight into fleet health and coverage.
• Close collaboration with agent detection, agent health and core platform teams to turn new protection ideas into robust, operable capabilities at scale.

What will you do?

• Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications, built to handle several millions of events per second.
• Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Participate and collaborate with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.
• Maintain application stability and data integrity by monitoring key metrics and improving codebase accordingly.
• Understand & maintain existing codebase by regular re-factoring and applying requested fixes and features.
• Learn new technologies that can solve our huge volume of data and the challenges it poses.

Your Toolkit:

• Our new components are primarily developed in Go and Java, and we use Python in our current backend environment.
• Communication between microservices is facilitated using gRPC, REST, GraphQL APIs, and Kafka, depending on specific requirements.
• We use Redis, PostgreSQL, Cassandra, ClickHouse and have our columnar time-series database for efficient event storage and retrieval at scale.
• Our services are deployed across multiple AWS/GCP regions with Kubernetes; among other tools, you'd also use Docker, GitHub and ArgoCD.
• To enable you in your work, we provide company access to various modern AI-powered tools for both R&D and non-R&D tasks.

What Skills and Knowledge Will You Bring?

• Multiple years of professional backend development experience in one or more of the following: Golang, Java, Python
• Ability to quickly dive into new products and understand their inner workings
• Self-driven individual
• Experience with large-scale high-load distributed systems & performance
• Experience with AWS, GCP, and/or other cloud platforms, and with Docker, Helm, and Kubernetes
• Excellent communication skills - you will be regularly in touch with Product, Technical Account Managers (who provide feedback from clients) and other cross-functional teams
• Experience with Kafka, PostgreSQL, MongoDB, Redis
• Experience in an enterprise SaaS company or cybersecurity SaaS company

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).

As a Senior Software Engineer - Agent (Endpoint Protection) Platform, you will design, develop, and operate large-scale, low-latency applications engineered to process several millions of events per second. You will own the end-to-end lifecycle of high-volume data pipelines, ensuring mission-critical stability and data integrity through rigorous testing and proactive monitoring of key performance metrics. By continuously refining the codebase and optimizing for distributed scale, you will build the resilient backbone that allows SentinelOne’s platform to stay ahead of global cyber threats in real-time.

What will you do?

• Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications, built to handle several millions of events per second.

• Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.

• Participate and collaborate with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.

• Maintain application stability and data integrity by monitoring key metrics and improving codebase accordingly.

• Understand & maintain existing codebase by regular re-factoring and applying requested fixes and features.

• Learn new technologies that can solve our huge volume of data and the challenges it poses.

Your Toolkit:

• Our new components are primarily developed in Go and Java, and we use Python in our current backend environment.

• Communication between microservices is facilitated using gRPC, REST, GraphQL APIs, and Kafka, depending on specific requirements.

• We use Redis, PostgreSQL, Cassandra, ClickHouse and have our columnar time-series database for efficient event storage and retrieval at scale.

• Our services are deployed across multiple AWS/GCP regions with Kubernetes; among other tools, you'd also use Docker, GitHub and ArgoCD.

• To enable you in your work, we provide company access to various modern AI-powered tools for both R&D and non-R&D tasks.

What Skills and Knowledge Will You Bring?

• Multiple years of professional backend development experience in one or more of the following: Golang, Java, Python

• Ability to quickly dive into new products and understand their inner workings

• Self-driven individual

• Experience with large-scale high-load distributed systems & performance

• Experience with AWS, GCP, and/or other cloud platforms, and with Docker, Helm, and Kubernetes

• Excellent communication skills - you will be regularly in touch with Product, Technical Account Managers (who provide feedback from clients) and other cross-functional teams

• Experience with Kafka, PostgreSQL, MongoDB, Redis

• Experience in an enterprise SaaS company or cybersecurity SaaS company

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 Senior Software Engineer, you will own end-to-end development of new agent capabilities, from researching Linux and cloud security technologies to designing detection strategies and delivering them at scale. You’ll work across kernel-level components, user-space engines, and cloud-native security features, tackling complex system engineering challenges.

Your work will enhance the security of Linux and cloud workloads used by hundreds of thousands of users globally. We’re looking for engineers with Linux and/or cloud security experience who can innovate from scratch and drive scalable capabilities across our products.

What Will You Do?

• Software Development (70-80% of time) - we use C++23, occasionally also Rust and/or Go
• Write tests to cover new code
• Conduct low-level research and design new features
• Peer code reviews; Participate in the team’s design reviews
• Learn new technologies in the Linux and Cloud workloads security domains (e.g. eBPF)
• Architect end-to-end security solutions for complex features with loose problem definition
• Support customers with issues and requests within the team’s domain
• Attend daily and weekly scrum meetings

What Skills and Knowledge Will You Bring?

• Multiple years of experience as a software engineer, developing complex systems in modern C++
• Proficient in Linux OS architecture and internals
• Hands-on experience with Linux low-level development and debugging
• Previous experience working on a production-grade product with a wide-scale deployment

It’d be great if you have experience with / or you’d learn & gain on our team:

• Hands-on experience with Linux kernel development or kernel tracing
• Previous experience with eBPF, Linux networking subsystem, security-oriented development
• Hands-on experience with container platforms and orchestrators such as Docker and Kubernetes
• Previous experience with software development in either Rust and/or Go (we have several components in both) or Python

Why Us?

• 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).

We are seeking an experienced Staff Platform Engineer / Software Engineer who will serve as a technical leader with dozens of engineering teams. You are someone who enjoys bridging the gap between software engineering and systems architecture, and not just managing infra, but building Internal Developer Platform (IDP) on Kubernetes, and APIs that enable scalability, efficiency, productivity, and developer joy. You are a "doer" who can pivot from writing high-quality production code to influencing the architectural direction of our CI/CD pipelines and service catalogs (e.g., Backstage), as well as be the next frontier of Generative AI integration.

Our Developer Experience (DevEx) organization’s mission is to partner with SentinelOne engineering teams to accelerate the velocity of software delivery through continuous innovation and standardization. We are building a platform that serves nearly 1,000 engineers to release services and features to our customers, making it easy to move from POC to production safely and quickly. We're also transforming our CI/CD from a traditional pipeline into an AI-driven engine - you will help us build a platform where AI proactively helps developers write & ship code, generates high-coverage test suites on the fly, and performs the first pass of PR reviews with human-level context. 

What Will You Do?

• Partner with Engineers, Build & Automate: The engineering teams are our primary customers - you will be working with them to understand their pain points and find long term solutions.
  • You will be building the IDP as the "Golden Path", and tools that improve the quality of life and streamlining the development process for the teams, so that they can build without having to worry about the underlying infrastructure.
  • You will be also building scalable solutions in collaboration with other infrastructure teams.
• Modernize the Stack: Collaborate with architects to evaluate and implement modern tools (e.g., ArgoCD, GitHub Actions) and deployment strategies (Canary, Blue/Green).
• Lead the AI-Driven CI/CD Shift: Architect and implement AI-powered workflows that assist in code generation, automated testing, and intelligent PR analysis to eliminate developer friction.
• Operational Ownership: Identify causes of toil across engineering orgs and eliminate them through automation, enhancing overall system reliability and developer satisfaction.
• Cross-Functional Influence: Partner with Product, Security, and Finance teams to align technical roadmaps with business value and customer needs. You will influence strategy and ensure our platform is as lean as it is powerful.
• Impact: You will participate in the full software development lifecycle, including requirements analysis, architecture design, coding, testing, and deployment.
• Deal with global scale: Our security SW products protect 15,000 enterprise and government clients across the globe, incl. 4 of Fortune 10, and process 9+ Petabytes of data daily and 3+ Trillion security events across multiple AWS/GCP regions and GovCloud, supported by a large Kubernetes control plane with 80+clusters and tens of thousands of nodes.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

• Demonstrated proficiency in Go or Python. Experience in the full SDLC, from requirements to production-ready code
• Experience with AWS and/or GCP. Knowledge of Kubernetes or similar orchestration systems
• Experience with CI/CD tooling at scale (e.g., GitHub Actions, ArgoCD, Jenkins etc.) and GitOps approach
• Strong experience with Terraform, Pulumi, or similar IaC frameworks
• Familiarity with DevEx fundamentals, including Service Catalogs (Backstage), REST APIs, or gRPC
• Familiarity with both SQL (Postgres) and NoSQL (MongoDB, ClickHouse, or Redis)
• You are passionate about (and ideally have experience in) integrating LLMs and AI agents into the developer workflow to drive productivity
• Excellent problem-solving skills, strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

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).

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

We are seeking an experienced Staff Software Engineer / Platform Engineer who will serve as a technical leader with dozens of engineering teams. You are someone who enjoys bridging the gap between software engineering and systems architecture, and not just managing infra, but building Internal Developer Platform (IDP) on Kubernetes, and APIs that enable scalability, efficiency, productivity, and developer joy. You are a "doer" who can pivot from writing high-quality production code to influencing the architectural direction of our CI/CD pipelines and service catalogs (e.g., Backstage), as well as be the next frontier of Generative AI integration.

Our Developer Experience (DevEx) organization’s mission is to partner with SentinelOne engineering teams to accelerate the velocity of software delivery through continuous innovation and standardization. We are building a platform that serves nearly 1,000 engineers to release services and features to our customers, making it easy to move from POC to production safely and quickly. We're also transforming our CI/CD from a traditional pipeline into an AI-driven engine - you will help us build a platform where AI proactively helps developers write & ship code, generates high-coverage test suites on the fly, and performs the first pass of PR reviews with human-level context. 

What Will You Do?

• Partner with Engineers, Build & Automate: The engineering teams are our primary customers - you will be working with them to understand their pain points and find long term solutions.
  • You will be building the IDP as the "Golden Path", and tools that improve the quality of life and streamlining the development process for the teams, so that they can build without having to worry about the underlying infrastructure.
  • You will be also building scalable solutions in collaboration with other infrastructure teams.
• Modernize the Stack: Collaborate with architects to evaluate and implement modern tools (e.g., ArgoCD, GitHub Actions) and deployment strategies (Canary, Blue/Green).
• Lead the AI-Driven CI/CD Shift: Architect and implement AI-powered workflows that assist in code generation, automated testing, and intelligent PR analysis to eliminate developer friction.
• Operational Ownership: Identify causes of toil across engineering orgs and eliminate them through automation, enhancing overall system reliability and developer satisfaction.
• Cross-Functional Influence: Partner with Product, Security, and Finance teams to align technical roadmaps with business value and customer needs. You will influence strategy and ensure our platform is as lean as it is powerful.
• Impact: You will participate in the full software development lifecycle, including requirements analysis, architecture design, coding, testing, and deployment.
• Deal with global scale: Our security SW products protect 15,000 enterprise and government clients across the globe, incl. 4 of Fortune 10, and process 9+ Petabytes of data daily and 3+ Trillion security events across multiple AWS/GCP regions and GovCloud, supported by a large Kubernetes control plane with 80+clusters and tens of thousands of nodes.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

• Demonstrated proficiency in Go or Python. Experience in the full SDLC, from requirements to production-ready code
• Experience with AWS and/or GCP. Knowledge of Kubernetes or similar orchestration systems
• Experience with CI/CD tooling at scale (e.g., GitHub Actions, ArgoCD, Jenkins etc.) and GitOps approach
• Strong experience with Terraform, Pulumi, or similar IaC frameworks
• Familiarity with DevEx fundamentals, including Service Catalogs (Backstage), REST APIs, or gRPC
• Familiarity with both SQL (Postgres) and NoSQL (MongoDB, ClickHouse, or Redis)
• You are passionate about (and ideally have experience in) integrating LLMs and AI agents into the developer workflow to drive productivity
• Excellent problem-solving skills, strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

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).

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

THE ROLE

In today's cloud-centric world, the reliability of cloud platforms underpins everything.  Ensuring the heartbeat of these systems is crucial.  At the frontier of cloud technology, Site Reliability Engineering (SRE) works diligently to bolster the availability of our cloud infrastructure and services.  As we pivot to a cloud-first strategy, Pure Storage seeks Site Reliability Engineers, with the ability to play a leading role in our cloud-focused transformation across the broader engineering organization. This team will be passionate about ensuring impeccable uptime, seamless scalability, observability, and unmatched availability.

You will be part of a globally distributed SRE team partnering closely with engineering teams across the US and Europe to architect, automate, and operate services that our customers rely on every second. This role is ideal for someone who wants to influence cloud architecture, drive operational excellence, and build scalable, observable systems from the ground up.

WHAT YOU'LL DO

• Own the reliability and availability of core cloud services by building robust operational frameworks, proactive monitoring, and scalable automation that directly reduce downtime and improve customer experience.
• Lead incident response and root cause analysis, ensuring rapid recovery, high-quality follow-ups, and long-term improvements that eliminate recurring issues.
• Architect and implement automation and Infrastructure-as-Code to streamline deployments, operations, and service management at scale.
• Partner with product and engineering teams to influence service architecture, embed SRE best practices, and guide the design of highly available cloud-native systems.
• Develop and evolve observability systems, including metrics, logging, tracing, and actionable alerting to provide deep visibility into system health.
• 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

• Strong experience designing, operating, and improving highly available cloud services, including deep understanding of service uptime, SLOs, and production operational excellence.
• Expertise with public cloud platforms (AWS, Azure, or GCP) and hands-on experience with cloud-native architectures.
• Proficiency in Infrastructure-as-Code and automation using tools such as Terraform, Ansible, CloudFormation, Puppet, or similar.
• Practical experience running containerized environments and orchestration systems such as Kubernetes.
• Ability to build and operate observability stacks (e.g., ELK, Prometheus, OpenTelemetry) and manage on-call processes using tools like PagerDuty.
• Strong programming skills in languages such as Python, Go, Java, Ruby, or similar.
• Deep understanding of Linux systems, networking fundamentals, and modern software delivery practices.

#LI-ONSITE

THE ROLE

Join Everpure organization as a Site Reliability Engineer, where you will be instrumental in ensuring the performance and stability of our mission-critical engineering infrastructure and production services across a global environment. You will be a hybrid software and systems expert, owning the reliability, operations, and development of core applications that power Pure’s product innovation. This role is a unique opportunity to drive efficiency and set the standard for operational excellence through automation, blameless postmortems, and setting ambitious SLOs alongside fellow engineers.

WHAT YOU'LL DO

• Establish and maintain impeccable service reliability for core cloud platforms and infrastructure by implementing robust monitoring, proactive incident response, and driving root cause analysis (RCA) and resolution for production issues in a 24x7 environment.
• Participate in the transformation of operational practices by identifying, designing, and implementing automation and orchestration solutions for manual cloud service operations and deployment, significantly enhancing efficiency and reducing human error.
• Partner cross-functionally with development teams to integrate SRE principles early in the development lifecycle, defining improvements to service architecture that bolster high availability, scalability, and adherence to established SLAs.
• Build and evolve the observability stack by setting up, configuring, and improving service health monitoring, collecting and reporting key metrics, and establishing effective alerting systems to maintain deep insight into system performance and health.
• Drive adoption of modern cloud operations technologies, exploring and integrating new tools for Infrastructure as Code (IaC), container orchestration, and high-availability (HA) to continuously optimize the reliability and scalability of our cloud offerings.

WHAT YOU BRING

• Demonstrated ability to write production-quality code using languages such as Python, Go, Java, C, or C++, including experience with software design, implementation, and maintenance.
• 3+ years of experience as SRE or DevOps to support globally distributed SaaS services
• Systematic and data-driven problem-solving approach, coupled with strong communication skills and a deep sense of ownership for critical production services.
• A solid understanding of Enterprise Systems performance analysis and debugging, with the ability to leverage metrics and data to drive system improvements.
• 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.

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

ABOUT THE ROLE

The FlashBlade Self-Service Upgrades (SSU) team builds the upgrade experience for Pure Storage’s FlashBlade platform, enabling customers to keep their systems current with confidence. The team develops backend services and APIs that support safe, non-disruptive software upgrades across both connected environments and secure offline darksite environments.

This role owns backend systems end-to-end, from design and implementation to deployment and ongoing operations, while ensuring scalability and high performance across large fleets. It also focuses on improving delivery speed and quality through CI/CD practices, automation, and engineering standards that reduce manual effort and defects.

WHAT YOU’LL DO

• Take end-to-end ownership of features, from initial concept through development and deployment
• Collaborate with cross-functional teams and product management to ensure solutions meet customer needs
• Contribute to technical direction by representing the team in engineering discussions and sharing expertise
• Analyze and solve complex technical challenges while maintaining high quality standards
• Deliver customer-focused solutions and contribute to a culture of continuous learning and team support
• We are primarily an in-office environment, and this role is expected to be based in the Prague office in alignment with Pure’s policies, except during PTO, work travel, or other approved leave.

WHAT YOU BRING

• Experience with Python and/or C++ in a professional or academic setting
• Background in systems software, such as distributed systems, operating systems, Linux, databases, containers, or similar areas
• Familiarity with an additional programming language (e.g., Java, Go, or Python)
• Ability to communicate technical concepts clearly within a team
• A thoughtful approach to problem-solving and writing clean, maintainable code
• An interest in system design and collaborative problem-solving

#LI-ONSITE

About the Role

As a Software Developer in Test, you will join one of several high-impact teams of QA professionals. You will work on a variety of Veeam products and features, helping us shape the quality of solutions used by companies around the world. During the hiring process, we’ll match your interests and experience with the team and project where you can make the greatest impact.

What You'll Do

• Develop and maintain automated tests for Veeam products
• Collaborate across the software development team
• Enhance frameworks and modules for automated testing
• Contribute to test design and implementation
• Analyze product source code
• Support internal automated testing systems
• Build and manage testing infrastructure
• Analyze test results, and maintain defects database

Technologies You'll Work With

• Python, PowerShell, C# (.Net 6, .Net 8)
• GitLab, Azure Devops, TeamCity
• TestRail

What You'll Bring

• From at least 1 year of experience (junior level) up to 3+ years (middle/senior level) in commercial product testing, test automation, or software development; OR practical hands-on coding experience, without a need for testing expertise but with a strong interest in the testing domain (for junior candidates)
• Programming experience in Python
• Experience with Windows and/or Linux environments
• A strong desire to write high-quality code and develop your skills in programming
• An open mind, common sense, clear logical thinking, and a lively, analytical mindset - you enjoy analyzing and understanding how things work
• English proficiency for daily communication within international teams

Bonus Skills

• C#/.NET Framework and Test Automation: LINQ, NUnit, Selenium WebDriver, testing RESTful APIs using HttpClient
• Experience with PowerShell 
• Experience with Git
• Experience with Jenkins, TeamCity or Azure DevOps
• Cloud platforms experience (AWS, Azure, GCP)

What You’ll Get

• 25 vacation days, 4 sick days, 21 paid medical leave days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Premium private medical insurance for employees and dependents
• Daily meal vouchers for restaurants and groceries (180 CZK per working day)
• Flexible cafeteria platform with thousands of lifestyle benefit options
• Multisport Card for gym and wellness, with family add-on options
• Annual public transport reimbursement up to a set limit
• Corporate mobile plan with optional family tariff
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of the Czech Republic, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in the Czech Republic.

#LI-AR1
#Hybrid

We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague.

Here at ShipMonk, we process up to 100,000 orders per day in our peak season. Our book of business has more than 1,500 clients which are small and medium e-shops, mostly based in the US. We offer the ShipMonk platform as the solution for the whole process.  It covers everything from stocking the items to shipping the ready packages to all corners of the world!

🎯 1. ROLE MISSION

We seek a High-Execution Data Engineer to be the lead architect and primary builder of the Merchant Data Catalogue (MDC). This "Builder-Architect" role requires designing, coding, building, and maintaining the infrastructure to transform complex 3PL logistics data into a single, standardized, client-ready data product. Moving beyond fragmented backend data, you will model it into a clean, unified "Merchant-Standard" format. This standardized data directly enables customers to easily calculate and output key e-commerce KPIs, such as drilling down on a 15% shipping cost increase. The MDC is critical as the foundation for our AI insights platform and all future data tooling for our thousands of merchants.

🏗️ 2. THE HANDS-ON CORE RESPONSIBILITIES

• End-to-End Development: Directly build, test, and deploy the ETL/ELT pipelines that feed the Merchant Data Catalogue.
• MDC Management & Oversight: Take full ownership of the MDC lifecycle—from schema design to ongoing performance tuning and maintenance.
• Standardization & Modeling: Get hands-on with SQL and Python to model fragmented backend data into a clean, unified "Merchant-Standard" format.
• Data Contract Enforcement: Code and implement automated checks (Data Contracts) to ensure backend changes never break the client-facing data layer.
• Maintenance & Support: Proactively monitor the health of the MDC. You are the first line of defense for troubleshooting data discrepancies or performance lags.
• Tooling & Automation: Develop internal tooling to automate documentation and data quality reporting for our merchants.
• Data Mining & Insight Modeling: Identify business problems (e.g., "Are you putting inventory in the wrong warehouse?") and construct the underlying data models within the MDC to provide actionable answers via our tooling and customer interfaces.

🛠️ 3. SKILLS & TECHNICAL REQUIREMENTS

• Hands-on Engineering: Expert-level proficiency in Python and SQL. You should be comfortable refactoring complex queries and building scalable data apps.
• Modern Data Stack: Practical experience with dbt, Airflow, Snowflake, and CI/CD workflows for data.
• Data Architecture: Strong ability to design Star Schemas and wide-table formats specifically for high-concurrency client access.
• Reliability Engineering: Experience with data testing frameworks (e.g., Great Expectations, dbt-tests) to ensure "Standard & Robust" delivery.
• Documentation: Ability to write clean, developer-facing and client-facing documentation (Data Dictionaries).

🏆 4. KEY RESULTS (What Success Looks Like)

• KR 1 (Reliability): Achieve 99.9% uptime and delivery of the MDC, meeting all client-facing Data SLAs.
• KR 2 (Business Value/Upsell): Enable the development of analytics features, AI insights, and drill-down dashboards that are 100% based on the Merchant Data Catalog, directly contributing to upsell and technology revenue.
• KR 3 (Insight Foundation): Successfully construct the underlying data models within the MDC to support three high-leverage 2026 Strategic Problems (e.g., Inventory Placement, B2B Planning Accuracy).
• KR 4 (Data Quality/Trust): Implement and enforce Data Contracts for 100% of core client-facing data fields, resulting in a 50% decrease in Merchant Success Manager (MSM) escalations related to data discrepancies.
• KR 5 (Customer Insight Loop): Implement a formal feedback loop to capture and translate merchant/business-user feedback into 3 major quarterly data model improvements within the MDC.
• KR 6 (Internal Adoption): Achieve 90% adoption of all new MDC-based insight models by Merchant Success Managers (MSMs) for weekly client consultations, solidifying the MDC as the trusted single source of truth.

📈 5. DESIRED EXPERIENCE

• 4+ years of hands-on experience in Data Engineering or Backend Engineering.
• Proven track record of building data products from scratch—not just maintaining existing ones.
• Experience working in a 3PL, Logistics, or Fintech environment where data accuracy is mission-critical.
• A "lead-by-doing" mentality: you are as comfortable in a high-level design sprint as you are in a deep-dive debugging session.
• Experience working directly with business users and leveraging customer feedback to drive iterative improvements in data models and products.

🚀 JOIN THE SHIPMONK CREW

We are looking for a highly business-focused Data Engineer who will act as a Data Product Manager for the Merchant Data Catalog. This role's purpose is to accelerate our business by synthesizing user inputs and customer feedback into data models that drive strategic value for our thousands of merchants.

Location: Prague / Hybrid

• Own the end-to-end design, development, and operation of mission-critical processing services, ensuring seamless, secure, and compliant data flow between edge devices and the Pure1 cloud platform.
• Partner with Product and Architecture teams to translate complex requirements into scalable, resilient architectural designs that drive significant organizational impact from initial concept through to production deployment.
• Drive continuous innovation by experimenting with new technologies, platform ecosystems, and architectural patterns to improve system performance, security, and cost-effectiveness for petabytes of real-time data.
• Maintain a quality-first mindset throughout the entire software development lifecycle, emphasizing comprehensive unit testing, thorough code reviews, and robust Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Lead the resolution of complex inter-operability issues between new and existing system components, ensuring the platform remains highly available and universally accessible for customers across the globe.

• Demonstrated experience in architecting, implementing, and testing various product components within large-scale, complex distributed systems.
• Proficiency in a modern backend programming language (Java is preferred, Python/Go nice to have), with a proven ability to write secure, high-performance, and maintainable code.
• Understanding of distributed systems principles, networking infrastructure, and Linux operating environments.
• Hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and proficiency with container orchestration tools like Kubernetes.
• A proven track record of thriving in a highly collaborative, team-oriented environment, with a passion for continuous learning and quickly mastering new technologies.
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague, Czechia office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

About the Role

Veeam is looking for a Senior Data Security & Privacy Engineer to own privacy-by-design and data protection engineering for the Veeam Data Cloud (VDC) data plane on Microsoft Azure and AWS. You will be the dedicated security and privacy engineering partner for VDC, responsible for how customer data is classified, ingested, encrypted, stored, processed, accessed, monitored, retained, and deleted across VDC workloads. 
 
This is a product security and enablement role: you will build shared security/privacy services, guardrails, and paved roads that make secure, compliant defaults easy for product teams to adopt. You will ship code via pull requests, provide reference implementations and self-service tooling, and measure adoption to drive consistent protections across the data plane. 
 

What You’ll Do

• Build and maintain shared platform capabilities that enable product teams to securely access Veeam Data Cloud and services (humans, services, agents) with secure-by-default patterns.
• Set standard patterns for authentication, authorization, and least-privilege access in a multi-tenant SaaS environment, with explicit focus on customer data access (humans, services, automation, break-glass). 
• Engineer and operationalize privacy-by-design controls: data minimization, purpose limitation, and safe-by-default handling of personal/sensitive data (incl. data discovery and classification).
• Build and maintain data lifecycle mechanisms (retention policies, legal hold support where applicable, secure deletion, export/erasure workflows) that scale across tenants and regions.
• Own the encryption and key management strategy for customer data (in transit and at rest), including key rotation, access policies, and integrations with platform KMS (e.g., Azure Key Vault / managed HSM where used).
• Define and build a shared security + privacy control plane with internal APIs/SDKs and self-service workflows (tenant isolation, policy-as-code, consistent enforcement, abuse/rate limiting, and guardrails that reduce the chance of data exposure).
• Define secure logging, audit trails, and telemetry libraries (what we log, how we avoid/ redact sensitive data, how logs support detection, incident response, and privacy investigations). 
• Ship production-quality code (services, SDKs, templates, lint rules, CI/CD checks, infrastructure-as-code guardrails) that creates paved roads and makes the secure path the default path for product teams.
• Create reference architectures, reusable patterns, and developer documentation; run enablement (onboarding, office hours) and define adoption metrics to drive consistent rollout across teams. 
• Build scalable data-flow mapping and threat modeling mechanisms (templates, tooling, review checklists) for features that touch customer data; translate findings into platform backlog items and reusable controls. 
• Partner with Engineering, SRE, AI Security, Platform Security, Product Security, and Compliance/Privacy stakeholders to improve security and privacy baselines for our services. 
• Turn repeat security issues (dependencies/SBOM, container/VM findings, secrets exposure, pentest items) into automated fixes and guardrails (policies, pipelines, templates) that prevent regressions.
• Help meet external security and privacy requirements (e.g., SOC 2 / ISO / FedRAMP-style / IRAP) by delivering architecture and implementation changes that are measurable, auditable, and durable.

What You’ll Bring

• Experience as a Security Architect / Data Security Engineer / Privacy Engineer in a cloud-native, multi-tenant SaaS, with clear ownership of data protection and privacy engineering outcomes.
• Strong knowledge of Azure security and data services (identity/managed identities, Key Vault, storage, databases, networking), and the ability to apply the right controls to protect customer data at scale (AWS familiarity is a plus).
• Strong software engineering background and proven ability to ship and maintain production systems: proficiency in one or more of C#/.NET, Go, Java, Python, or TypeScript; comfortable with pull requests, code reviews, testing, and CI/CD.
• Hands-on experience engineering encryption, key management, tenant isolation, and access control for large-scale data systems (including designing for incident response and forensics). 
• Understanding of compliance and privacy expectations (SOC 2 / ISO 27001 / FedRAMP-style) and how they translate into practical data handling controls (auditability, least privilege, retention/deletion, data residency as applicable).
• Track record applying secure SDLC practices (threat modeling, secure design reviews, dependency/vulnerability management) and turning requirements into code and automation.
• Clear communication and ability to work with engineering/SRE/AppSec teams.

Bonus Skills

• Shared platform services for data protection (central KMS strategy, entitlement services, tokenization/masking). 
• Experience building secure observability for data planes and forensics for anomalous access.
• Multicloud/hybrid data protection experience. 
• Security-focused development experience and relevant certifications (Azure security/architecture, cloud security, privacy/data protection).

What You’ll Get 

• 25 vacation days, 4 sick days, 21 paid medical leave days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Premium private medical insurance for employees and dependents
• Daily meal vouchers for restaurants and groceries (180 CZK per working day)
• Flexible cafeteria platform with thousands of lifestyle benefit options
• Multisport Card for gym and wellness, with family add-on options
• Annual public transport reimbursement up to a set limit
• Corporate mobile plan with optional family tariff
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-DS1
#Hybrid

About the Role

We’re looking for a Staff Security Engineer to define and drive the authentication and authorization architecture for Veeam Data Cloud (VDC), our cloud-native SaaS platform. This role is centered on evaluating, defining, and evolving our authorization model - including RBAC and API access control across VDC services and teams. You’ll partner closely with product and platform engineering to ensure access is consistently designed, implemented, and enforced across the product. 
 
We provide secure data protection services on AWS, Azure, and GCP, integrating with platforms like Microsoft 365 and Salesforce for customers in regulated industries

What You’ll Do

• Define end-to-end security architecture for identity and authorization across VDC (control plane and data plane) 
• Evaluate and define authorization standards for multi-tenant SaaS, including RBAC/ABAC patterns, API authorization, and consistent permission modeling across services 
• Define role/permission models for customer users, customer admins, internal support/admin access, and service-to-service authorization 
• Design and standardize identity and authorization for agents and connectors running in customer environments (token/scopes, least privilege, rotation) 
• Define shared security capabilities like tenant isolation, policy enforcement, and rate limiting 
• Set standards for secure logging and telemetry for authentication and authorization 
• Turn repeat security issues into reusable guardrails and shared services 
• Support compliance work (e.g., SOC 2, FedRAMP-style, IRAP) through lasting design improvements 
• Be hands-on in implementation: write code, perform code reviews, and submit PRs to VDC repositories; at times, embed with product teams to deliver authorization changes end-to-end 
• Join design reviews and help teams adopt standard security patterns 

What You’ll Bring

• Proven background as a Security Architect / Senior Security Engineer / Software Engineering for cloudnative, multitenant SaaS 
• Strong, hands-on expertise integrating and operating Okta, Auth0, and/or Keycloak from a software engineering perspective (SDKs/APIs, OIDC/OAuth flows, token handling, automation) 
• Strong software engineering background: proficiency in one or more of C#/.NET, Go, Java, Python, or TypeScript
• Deep knowledge of authorization concepts and implementation: RBAC, permission modeling, policy enforcement, OAuth2/OIDC, JWT, mTLS, workload identities, tenant isolation, and secure API design 
• Strong Azure security architecture knowledge (Entra ID, AKS, networking, monitoring, hardening) 
• Experience turning vulnerability patterns for AAA into scalable platform solutions 
• Strong communication skills in English; comfortable in distributed teams 

Bonus Skills

• Building shared authn/authz libraries, policy engines, or security control plane services 
• Secure logging/telemetry design and data sanitization 
• Multicloud/hybrid identity experience 

What You’ll Get 

• 25 vacation days, 4 sick days, 21 paid medical leave days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Premium private medical insurance for employees and dependents
• Daily meal vouchers for restaurants and groceries (180 CZK per working day)
• Flexible cafeteria platform with thousands of lifestyle benefit options
• Multisport Card for gym and wellness, with family add-on options
• Annual public transport reimbursement up to a set limit
• Corporate mobile plan with optional family tariff
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-TK1

About the Role

Veeam Data Cloud is rapidly scaling, and we’re committed to unifying our security approach across all teams to ensure consistent product protection.

We’re seeking a Security Tech Lead to drive the design and rollout of standardized security solutions and help establish a dedicated Software Security Engineering platform team. In this role, you’ll work closely with the Director of Security Engineering to turn our unified strategy into an actionable engineering roadmap, shaping a strong and cohesive security framework.

What You’ll Do

• Lead the architecture and implementation of shared security primitives across Veeam Data Cloud
• Translate high-level security strategy into a concrete, prioritized engineering roadmap for cloud services and platform capabilities
• Act as a hands-on technical leader – write and review production code, drive design and code reviews, mentorship
• Establish and promote secure-by-default patterns and shared libraries to streamline security across teams 
• Build the foundation for a Software Security Engineering platform to manage shared security services and tools 
• Collaborate with product, platform, SRE, and compliance teams to ensure security solutions are robust and easy to adopt 
• Enhance security posture through automation, guardrails, and policy-as-code 

Technologies You’ll Work With

• Languages & Frameworks: Go, Python, and TypeScript (and related service/API frameworks)
• Cloud & Platform: Modern cloud-native architectures (microservices, event-driven systems, multi-tenant SaaS) using AWS, Azure, and GCP
• Security & Identity: Authentication and authorization services, identity providers, security control planes, guardrails, secure logging
• Tooling & Practices: Code and design review, CI/CD, observability and logging stacks, policy-as-code and security automation

What You’ll Bring

• Strond coding skills (Golang, Python, or TypeScript)
• Extensive experience building distributed, cloud-native systems
• Practical expertise in authentication/authorization, security guardrails, and secure observability for production systems
• Proven technical leadership: architecture, roadmap influence, and mentoring engineers
• Strong product mindset, focusing on platform security that empowers other teams
• Skilled at cross-team collaboration and clear communication of complex topics
• Preference for automation, reusable platforms, and secure-by-default approaches over one-off solutions

Bonus Skills

• Experience building or leading platform and product security teams providing shared services to multiple product teams
• Background in multi-tenant SaaS and large-scale control/data planes
• Familiarity with modern security practices (e.g., zero trust, least privilege, policy-as-code, security service meshes)
• Experience working with regulatory or enterprise security requirements

What You’ll Get 

• 25 vacation days, 4 sick days, 21 paid medical leave days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Premium private medical insurance for employees and dependents
• Daily meal vouchers for restaurants and groceries (180 CZK per working day)
• Flexible cafeteria platform with thousands of lifestyle benefit options
• Multisport Card for gym and wellness, with family add-on options
• Annual public transport reimbursement up to a set limit
• Corporate mobile plan with optional family tariff
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-TK1

THE ROLE

As a Software Engineer Intern, you will accelerate the future of data storage by tackling high-stakes engineering challenges alongside industry veterans. You aren't here to shadow; you are here to build, owning a mission-critical project that directly impacts our product roadmap. By collaborating in an agile pair-programming environment, you will transform complex theoretical concepts into high-performance code that powers some of the world’s largest enterprises.

WHAT YOU'LL DO

• Architect and Implement Core Features: Own the end-to-end development of a technical project—from design to deployment—to enhance system reliability, performance, or scalability.
• Optimize High-Performance Code: Write and refine production-level C++ code to solve bottlenecks within complex distributed systems or flash-management layers.
• Collaborate and Peer Review: Partner with a fellow intern and senior mentors to conduct rigorous code reviews, ensuring all contributions meet our high standards for security and efficiency.
• Drive Data-Informed Iteration: Test and validate your solutions using Python or Go-based automation frameworks to ensure your project delivers measurable improvements to the Pure ecosystem.

WHAT YOU BRING

• Technical Foundation: C++ and a comprehensive grasp of Computer Science fundamentals, including data structures, algorithms, and systems programming.
• Academic Progression: Current enrollment in a BS, MS, or PhD program in Computer Science or a related technical field, with a graduation date scheduled for 2027 and later. 
• Execution and Ownership: The ability to navigate ambiguous technical problems and deliver high-quality, documented results within a 12-week project lifecycle.
• Collaborative Mindset: Effective communication skills and the desire to solve problems within a transparent, team-oriented environment.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

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 Software Systems Architect, you will serve as the technical visionary and bridge between complex global business needs and high-quality technical execution. Based in our Prague R&D, you will define the architectural roadmap for engineering teams across Prague and Santa Clara, transforming requirements from Sales, Marketing, HR, and Customer Service into scalable, AWS-native solutions. Your mission is to elevate our engineering standards by architecting cutting-edge Agentic systems and intelligent orchestration layers. This is a high-impact leadership role where you will drive innovation, mentor a growing organization of 30+ developers, and ensure our internal platforms are resilient, secure, and future-proof.

WHAT YOU'LL DO

• Architectural Governance & Design: Lead the end-to-end design of complex, distributed systems by creating high-fidelity blueprints that align technical strategy with internal business goals for scalability and maintainability.
• Hands-on Technical Leadership: Drive "lead-by-example" execution by building Proof of Concepts (POCs), conducting live technical demonstrations, and authoring the gold-standard design documentation that sets the bar for the entire engineering organization.
• Systemic Quality Assurance: Act as the final authority on technical designs, rigorously reviewing architectural proposals to mitigate risks in performance, reliability, and security before they reach production.
• Agentic Systems Innovation: Drive the adoption of Agentic services and prediction models, architecting the orchestration layers that enable AI agents to solve intricate business problems for global stakeholders.
• Technical Mentorship & Culture: Actively coach a community of 30+ developers to improve the collective mastery of design-led development, advanced unit/functional testing practices, and modern coding standards.
• Strategic Collaboration: Partner closely with the Head of Engineering in Santa Clara to translate high-level global roadmaps into actionable technical strategies, ensuring seamless execution across geographic boundaries.
• Operational Excellence: Standardize the integration of complex data environments, ensuring that our architectural patterns support robust data engineering and AI-driven workflows at scale.

WHAT YOU BRING

• Software Engineering Mastery: 10+ years of professional experience in software development and architecture, including  hands-on coding skills in Python (preferred) or Java.
• Technical Influence: A proven "Architect-Coder" mindset with the ability to influence engineering culture through technical excellence, high-quality documentation, and a "quality-first" approach to testing.
• Cloud Architecture Expertise: Deep, hands-on experience architecting resilient microservices and distributed systems within AWS (specifically utilizing SQS, SNS, and SageMaker).
• Agentic AI Proficiency: A sophisticated understanding of Agentic AI architecture, including multi-agent orchestration, LLM-powered tool calling, and the integration of prediction models into business workflows.
• Complex Problem Solving: A track record of resolving highly complex technical challenges involving large-scale data engineering, enterprise integration, or AI-driven automation.
• Enterprise Tooling Integration: Professional familiarity with modern data and integration platforms such as Snowflake, dbt, Fivetran, SnapLogic, Boomi, or Reltio.
• In-Office Collaboration: 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

THE ROLE

Our Senior Applied AI Engineer builds and operate production-grade AI systems that extract meaning from large-scale unstructured document collections, enabling enterprise data discovery classification, and governance. 

This role owns the full lifecycle of graph intelligence solutions — from problem definition and data modelling, to building and enriching knowledge graphs, and deploying ML- and LLM-assisted analytics in production. The focus is on semantic and contextual analysis of unstructured data to uncover relationships, patterns, and insights that support AI safety, security, and compliance requirements.

WHAT YOU'LL DO

• Design, build, and deploy graph-based AI solutions, combining knowledge graphs, LLMs, and ML models applied to large-scale unstructured data
• Define and own data pipelines that extract, transform, and enrich entity relationships into production-grade knowledge graphs
• Integrate LLMs and ML models into text processing pipelines for classification, embedding generation, document similarity, and semantic analysis 
• Design, deploy, and operate graph and vector databases to support retrieval, reasoning, and analytics
• Optimize models and inference pipelines for production constraints including latency, throughput, cost, and infrastructure
• Deploy, monitor, and iterate on ML systems in production environments ensuring reliability and continuous integration
• Drive architectural decisions and technical direction for applied AI and graph intelligence solutions
• 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

• Proven experience in developing and deploying to production knowledge graphs in a real business scenario
• Strong hands-on background in developing text-based ML and LLM systems, including prompt context engineering, optimized for production environments
• Strong proficiency in Python, ML / KG frameworks and tools (e.g. Neo4j, NetworkX, Node2Vec, SentenceTransformers) with the ability to select the right tool for the problem at hand
• Ability to apply the appropriate graph algorithms and design choices for problem solving, including relationship and ontology modelling, feature definition, supervised vs unsupervised graph analytics
• Ability to design clean, modular, and testable ML code in a collaborative environment
• Experience with MLOps practices, building production-grade Docker images, and development of AI solutions designed for integration into production systems
• Experience collaborating with software engineers, product managers, and business stakeholders
• Strong communication skills and ability to explain ML concepts and system behavior clearly

 #LI-ONSITE

THE ROLE

We’re building a new capability inside Platform Engineering, within our Infrastructure Shared Services (ISS) organisation: Data Platform Engineering. Our goal is to create a platform that removes friction, providing a consistent way to build, operate, and evolve data-driven services with clear ownership, guardrails, and a strong developer experience. Everpure’s own platform thinking is anchored in the idea of a unified data plane - a single fabric that connects data across locations and delivers consistent, secure data services across protocols and applications.

In this role, you’ll build and operate a trusted, scalable, and intelligent data platform that empowers teams to make faster data-driven decisions while shaping a culture of ownership and innovation to meet the needs of an ever-changing business and technology landscape.

WHAT YOU'LL DO

• Design, build, and operate the core data platform services that enable teams to ingest, model, query, and publish data seamlessly.
• Architect a multi-engine environment (e.g., Trino/Starburst, Dremio, ClickHouse, Postgres/pgLake) with an Iceberg-based lakehouse, prioritizing interoperability, operability, and security.
• Drive platform evolution through experimentation, measuring performance, reliability, and cost trade-offs to standardize high-impact solutions.
• Establish durable corporate knowledge by developing strong defaults, comprehensive documentation, and intuitive self-service interfaces.
• Manage core lakehouse components, including table layout conventions, catalogue integration, and critical lifecycle maintenance patterns such as compaction and optimization.
• Implement robust ingestion patterns for both batch and streaming data, ensuring clear SLAs and highly observable failure modes.
• Enable multi-engine access by configuring connectors and catalog permissions while maintaining strict guardrails for a consistent user experience.

WHAT YOU BRING

• 6+ years of experience in the design and development of data pipeline automation, specifically extracting data from API-based sources.
• Technical expertise in developing complex automation frameworks, data modeling, and ETL processes using SQL, Python, DBT, Apache Airflow, or similar languages.
• Full-stack proficiency across the data stack, with deep knowledge of Python, SQL, and ETL methodologies.
• Hands-on familiarity with the big data ecosystem, including technologies such as Trino, Kafka, and Iceberg.
• A growth mindset characterized by curiosity and a proactive approach to solving complex architectural problems.
• Strong collaborative communication skills, with a proven ability to align and work effectively across diverse technical stakeholder groups.
• 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.

#LIONSITE

THE ROLE

We are seeking an exceptional Senior Finance Analyst to support the G&A organization from our Prague Finance Hub, with a focus on Corporate Functions finance. As a key member of the G&A Finance team, this role will serve as a strategic partner to Facilities and G&A leadership, bringing financial rigor, transparency, and forward-looking insight across operating expenses, capital investments, and a complex global real estate portfolio.

This individual will own OPEX and CAPEX governance, lease portfolio analytics, and monthly close, forecast cycles, annual plan, ensuring disciplined financial execution and predictable outcomes across G&A. Beyond core reporting, the role will deliver advanced spend modeling, contract and lease economics analysis, and scenario planning to inform footprint strategy, functional investment decisions, and long-range planning.

The ideal candidate is a proactive, analytically rigorous self-starter with strong communication and advanced modeling capabilities. By streamlining reporting, building scalable dashboards, and enhancing financial visibility, this Senior Finance Analyst will empower Facilities and Corporate Function leaders to make confident, data-driven decisions aligned with margin optimization, capital efficiency, and long-term business objectives.

WHAT YOU’LL DO

• Drive Strategic Financial Modeling: Develop and maintain integrated financial models covering CapEx, lease accounting, facilities rent and CAM, and operating spend. Quantify the three-statement impact of investment and real estate decisions to support disciplined cost management, capital efficiency, and cash flow optimization. Provide visibility into the financial overview by site. Develop a centralized data lake to serve as a single source of truth for various analyses
• Lead Operational Automation: Revolutionize our reporting ecosystem by leveraging SQL, Snowflake, Python, and AI technologies to automate manual workflows, ensuring our financial processes are scalable and integrated across multiple platforms
• Direct Expense & Capital Strategy: Own the full lifecycle of CapEx and OpEx management, balancing expense targets based on current and future long range plans
• Enable Cross-Functional Decisions: Serve as a Finance business partner cross functional to Facilities, Corp Finance, BU Finance, and Cost Accounting, to support leasing agreements, maintain budget oversight, accurately reflect contract terms in financial models, and ensure adherence to purchase order governance
• Planning and Orchestration: Ability to plan and lead multiple timelines and milestones, ensuring alignment across facilities lease renewals and critical dates, while maintaining the regular cadence of financial planning, forecasting, close processes, and financial presentations

WHAT YOU BRING

• Education & Foundation Bachelor’s degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
• Experience 3+ years of experience in Financial Planning & Analysis (FP&A), Cost Accounting, General Ledger (GL) accounting, or data analytics roles.
• Analytical Storytelling: You possess a mastery of financial modeling and the ability to synthesize massive datasets from tools like Snowflake, SQL, or Tableau into compelling narratives that drive executive action.
• Strategic FP&A Expertise: You have a proven track record of navigating complex business-facing finance roles, specifically in designing investment frameworks or sales-incentive models within a fast-paced corporate environment.
• Systems Agility: You are highly proficient in leveraging enterprise-level financial tools (such as Anaplan, SAP, NetSuite, or similar) and advanced spreadsheet functions to build scalable, automated reporting solutions.
• Collaborative Leadership: You are a self-starter who excels at managing multiple high-priority workstreams simultaneously while building strong, trust-based relationships with cross-functional global stakeholders.
• Location: 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.

#LIONSITE

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.

THE ROLE

Join the Infrastructure Shared Service (ISS) team in Prague, an international organization vital to Pure Storage's engineering success. We are seeking a passionate and driven Software Engineer with DevOps focus to enhance our global development environment and production services. In this critical role, you will be the driving force behind building, deploying, and optimizing our product features, directly impacting the quality and reliability of services used by all internal engineering teams. You will set the stage for continuous integration and continuous deployment, collaborating closely with Product Managers and developers to ensure our software development processes are robust, automated, and designed for superior customer outcomes. This position offers a unique chance to blend software engineering expertise with systems thinking on a global scale.

WHAT YOU'LL DO

• Accelerate Product Delivery: Design, implement, and advocate for automation strategies for new product releases, ensuring fast and reliable continuous integration and continuous deployment across our environments.
• Drive System Resilience: Partner with engineering teams on system design, capacity planning, and launch reviews to prepare services for production readiness and guarantee optimal performance before they go live.
• Develop Core Services: Write and integrate software using Go/Python to seamlessly connect with internal back-end systems, improving overall infrastructure efficiency and functionality.
• Optimize Production Services: Own the design, operation, and maintenance of product features in production, leveraging data and metrics to troubleshoot issues and drive continuous improvement based on customer needs.
• Foster Global Collaboration: Work within a distributed team across various business units and time zones to share knowledge, align strategies, and collectively deliver high-quality engineering outcomes.
• Shape Project Direction: Apply your technical expertise to influence project planning and be an active contributor to Product Management decisions, ensuring technical feasibility and long-term maintainability.

WHAT YOU BRING

• Minimum of 3+ years of progressive experience in a Software Engineer, DevOps Engineer, or similar systems-focused role.
• Demonstrated coding ability in any of programming language (preferably Go / Python)
• Hands-on experience in the design, successful implementation, delivery, and ongoing maintenance of enterprise-level software systems.
• Proven expertise in working with containers and container orchestration systems, specifically Docker and/or Kubernetes.
• Practical experience with Infrastructure as Code (IaC) tools, such as Terraform, and automation/CI/CD tools like GitHub Actions and/or ArgoCD.
• A systematic and methodical approach to problem-solving, coupled with excellent communication skills, a high degree of ownership, and a strong personal drive.
• 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.

#LIONSITE

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

THE ROLE

Everpure Cloud Azure Native is already live and generally available—we’ve shipped the first version of the service, and we’re now focused on making it better every quarter: expanding use cases, entering new markets, and raising the bar on reliability and developer experience.

Our Foundation team owns a Go‑based control‑plane service that orchestrates how customers consume enterprise‑grade block storage natively in Azure. Around it, we work with a modern cloud stack including Temporal and other platform services for workflows, automation, and observability. This is a production cloud service, not an internal tool: the code you write directly shapes how customers deploy, scale, and operate storage in their Azure environments.

This is a rare opportunity to work on a core storage service in a major public cloud, in a joint effort between Everpure and Microsoft. You’ll design and evolve APIs and service behavior that sit in the critical path of real workloads, collaborating closely with engineers across both companies.

We move fast without breaking customers: clear API contracts, long‑lived interfaces, solid test automation, and CI/CD are part of the job, not side projects. If you want to own services end‑to‑end, solve real distributed systems problems in the public cloud, and see your work reflected directly in how Azure customers use storage, this is the place to do it.

WHAT YOU'LL DO

• Own and evolve a production cloud service that powers Everpure Cloud Azure Native—taking features from idea to running in Azure for real customers.
• Build new features and improvements into the control‑plane service—from refining user flows and exposing system state to adjusting metering/billing, and other capabilities that make the service easier and more valuable to use.
• Keep the service rock‑solid in production by investing in test automation, CI/CD, metrics, and alerts so we can move fast without surprises.
• Shape how we build by choosing and improving the tools and patterns we use (Go, Python, Azure, Kubernetes, Temporal, and more).
• Continuously improve the system—simplifying code and APIs, paying down tech debt, and proposing changes that make the service safer and easier to operate.
• Collaborate across teams and partners, working with engineers in other Pure Storage Cloud teams and with Microsoft engineers on joint design, integration, and incident follow‑ups.
• Work with smart, friendly peers who care about engineering quality, help each other grow, and expect the same from you.

WHAT YOU BRING

• Solid software engineering experience (typically 3+ years) building and maintaining backend services or APIs in production.
• Strong programming skills in at least one modern language (for example Go, Python, Java, C#, etc.) and a willingness to work with new technologies when it makes sense.
• End-to-end ownership mindset – you and your team own what you build, from design and implementation through testing, deployment, monitoring, and iterative improvements in production.
• Strong problem‑solving skills – you’re comfortable debugging issues that cross service boundaries, APIs, and cloud components.
• Curiosity and a growth mindset – you like learning new domains, platforms, and tools and sharing that knowledge with others.
• Collaborative way of working – you communicate clearly, give and receive feedback well, and enjoy working in a supportive, team‑oriented environment.
• Experience building SaaS or cloud services is a big plus – for example operating services on Azure, AWS, or GCP.
• Nice to have: familiarity with Kubernetes/containers, CI/CD automation.

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

THE ROLE

As a Data Engineer - Agentic AI focus you will architect the high-performance data ecosystem that transforms raw information into actionable intelligence and agentic AI solutions. You will bridge the gap between complex engineering and business impact, collaborating with Data Scientists and Product Managers to build the infrastructure that scales our AI capabilities. This isn't just about moving data; it’s about engineering the foundation for the next generation of automated customer support and operational excellence.

WHAT YOU'LL DO

• Architect Scalable Data Infrastructure: Design, deploy, and optimize production-grade ETL pipelines and data models that ensure high-quality, AI-ready datasets for global business intelligence.
• Drive AI Evolution: Lead the technical preparation and prototyping of AI-driven workflows, integrating emerging LLM frameworks to automate complex business processes and enhance decision-making.
• Ensure Data Excellence and Integrity: Own the end-to-end data management lifecycle, implementing robust governance, security, and monitoring to maintain a "single source of truth" for critical stakeholders.
• Collaborate and Solve Across Functions: Partner with cross-functional teams to translate business needs into technical specifications, serving as the bridge that turns raw data into measurable organizational impact.
• Operational Reliability: Manage business-hour on-call rotations to ensure the seamless performance of ingestion systems, maintaining high availability for our global data consumers.

WHAT YOU BRING

• Advanced Engineering Proficiency: Deep technical expertise in SQL, Python, and data modeling, with a proven track record of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.
• Modern Data Stack Expertise: Hands-on experience managing relational and NoSQL environments (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud infrastructures.
• Growth Mindset & AI Curiosity: A strong desire to apply traditional data engineering principles to intelligent automation, including the ability to adapt to new technologies like LLM orchestration and model evaluation.
• Collaborative Communication: The ability to distill complex technical concepts into clear insights for non-technical partners, ensuring alignment across global time zones and diverse teams.
• We are primarily an in-office environment and therefore, you will be expected to work from the Prague, Czech Republic office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LIONSITE

THE ROLE

As an Engineering Intern on the Master Data Management (MDM) team, you will build the high-fidelity data foundations that power our global enterprise and fuel our AI-driven future. You’ll go beyond theory by shiping code to a real-time platform that synchronizes mission-critical data across the entire organization. Collaborating directly with senior architects, you will solve complex data integrity challenges that have a direct impact on our ability to scale and innovate. This is your chance to move past academic exercises and own technical solutions in a fast-paced, international engineering environment.

WHAT YOU’LL DO

• Own the Development Lifecycle: Design, develop, and deploy enhancements to our MDM platform, ensuring high performance and data reliability for downstream business systems.
• Scale Data Infrastructure: Contribute to the architecture of real-time data pipelines, transforming raw inputs into "golden records" that serve as the single source of truth for the company.
• Drive Technical Innovation: Partner with senior engineers to troubleshoot complex data anomalies and implement automated fixes that reduce manual intervention and improve system uptime.
• Collaborate Globally: Work across functional boundaries to translate business requirements into technical specifications, ensuring our data models meet the needs of a diverse set of internal stakeholders.

WHAT YOU BRING

• Software Engineering Foundation: Proficiency in Python or a similar high-level programming language, with the ability to write clean, maintainable, and efficient code.
• Data Fluency: Strong command of SQL for complex data manipulation and analysis, ideally with exposure to modern cloud data warehouses like Snowflake.
• Systems Thinking: A foundational understanding of cloud infrastructure components—such as AWS Lambda, EC2, and containerization—and how they support distributed applications.
• Proactive Problem Solving: A self-starter mindset with the communication skills to engage stakeholders and navigate technical roadblocks independently.

THE ROLE

As the Engineering Manager for FlashArray File Features, you will lead a Prague-based team dedicated to evolving Everpure’s™ industry-leading file services. You’ll drive the mission of delivering enterprise-grade, high-availability file capabilities that empower global innovators to manage mission-critical data. This role differentiates itself by blending deep systems-level engineering with high-impact people leadership, requiring close collaboration with Product Management and global R&D teams to redefine the modern data experience. Your goal is to ensure our customers can seamlessly scale their file environments with the reliability and performance Everpure™ is known for.

WHAT YOU’LL DO

• Drive End-to-End Execution: Lead the full software development lifecycle (SDLC) for core file features, ensuring the team delivers high-quality, scalable code from initial design through production rollout.
• Shape Technical Strategy: Partner with senior architects and Product Management to define the roadmap for multi-server and directory services, making critical trade-offs that balance innovative feature delivery with long-term system stability.
• Cultivate Engineering Excellence: Champion rigorous testing strategies and CI/CD health, fostering a "follow-your-feature" culture where engineers take ownership of operational excellence and defect prevention.
• Empower and Develop Talent: Manage and mentor a team of 5–8 engineers, providing technical guidance on complex distributed systems challenges while actively coaching them through career growth and professional development.
• Operational Leadership: Align team objectives with global business goals by managing dependencies across Protocol and Security teams, ensuring smooth, predictable releases that meet our customers' highest security and auditing standards.

WHAT YOU BRING

• People Leadership Expertise: Demonstrated ability to lead and scale software engineering team(s), with a focus on fostering a collaborative and inclusive engineering culture.
• Engineering Depth: Extensive technical background in building large-scale distributed systems, storage, or filesystems, including the ability to perform deep-dive code reviews in languages like C++, Go, Java, or Python.
• Execution & Agile Mindset: A proven track record of shipping complex infrastructure products using Agile methodologies, with the analytical skills to navigate ambiguity and manage stakeholder expectations in a global organization.
• Domain Knowledge: Solid understanding of end-to-end quality practices and a deep appreciation for the customer experience, specifically regarding how file protocols and directory services impact enterprise environments.

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