The role

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

In this position, you will be responsible for:

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

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

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

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

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

We expect you to have:

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

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

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

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

It would be a plus if you have:

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

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

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

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

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

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

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

We conduct coding interviews as part of the process.

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

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

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

We conduct coding interviews as part of the process.

The role

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

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

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

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

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

Some examples of what your responsibilities might include are:

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

We expect you to have:

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

Nice to have:

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

The role

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

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

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

We expect you to have:

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

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

• Experience with training large models on multiple computational nodes

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

• Strong software engineering skills (we mostly use Python)

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

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

• Strong communication and leadership abilities

Nice to have:

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

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

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

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

• Open-source projects that showcase your engineering prowess

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

The role

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

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

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

We expect you to have:

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

Nice to have:

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

The role

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

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

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

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

About Nebius

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

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

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

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

The role 

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

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

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

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

Your responsibilities will include: 

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

We expect you to have: 

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

It will be an added bonus if you have: 

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

The Role

Your responsibilities will include:

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

We expect you to have:

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

It will be an added bonus if you have:

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

We conduct coding interviews as part of the process.

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

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

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

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

The role

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

Your responsibilities will include:

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

We expect you to have: 

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

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role

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

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

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

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

What’s inside the platform

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

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

What you’ll do

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

In this role, you will:

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

Example projects

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

Tech stack

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

What we expect

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

Nice to have

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

We conduct coding interviews as part of the process.

The role

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

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

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

We conduct coding interviews as part of the process.

The role

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

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

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

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

Your responsibilities will include: 

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

We expect you to have:

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

Nice to have:

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

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

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

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

In this position, you will be responsible to:

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

Examples of outcomes you could drive as a Team Lead

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

What you will bring to the table:

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

It would be an added bonus if you had:

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

The role

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

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

Your responsibilities will include: 

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

We expect you to have: 

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

About Nebius

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

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

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

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

The role

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

Your responsibilities will include: 

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

We expect you to have: 

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

It will be an added bonus if you have: 

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

About Nebius

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

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

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

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

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

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

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

The Role

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

We are looking for Early talents to support research in:

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

Your responsibilities will include:

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

We expect you to have:

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

Nice to have:

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

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

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

The role 

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

Your responsibilities: 

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

Must-haves: 

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

Nice-to-haves: 

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

We conduct coding interviews as part of the process.

The role

We’re looking for a Security Product Manager to join our team. Security Product Manager is responsible for conveying the company’s security strengths to customers, partners and the market at large. This includes participating in relevant security partnership initiatives, influencing security positioning and branding, and working closely with internal teams to ensure company’s security posture and security products is communicated effectively to all stakeholders. By combining expertise in compliance requirements with a customer-centric approach, Security Product Manager helps position security as a competitive advantage rather than just an internal obligation. 

Your responsibilities will include: 

1. Product Management 

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

2. Customer-facing communications 

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

 3. Competitive analysis and market research 

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

 4. Certification and audit support, service ownership 

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

5. Cross-functional collaboration 

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

We expect you to have: 

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

It will be an added bonus if you have: 

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

About Nebius

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

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

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

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

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

About the Product 

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

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

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

 About the Team 

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

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

Technology & Environment 

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

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

What We’re Working On 

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

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

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

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

We expect you to have:

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

Nice to have:

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

Why It’s Interesting 

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

The role

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

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

About Emplifi

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

About the Ratings & Reviews 

Emplifi’s Ratings & Reviews platform helps brands collect and showcase customer feedback to build trust and boost conversions. Its Speedflex™ widgets load 85% faster and support a range of review types, including visual content and Q&A. The platform simplifies review collection and integrates easily across email, SMS, apps, and loyalty programs. With customizable designs, strong moderation tools, and deep analytics, businesses can manage reviews effectively and gain insights into customer sentiment.

About the Role

As a Software Engineer you will play a vital role in building and maintaining applications and back-end services of the Rating and Reviews (R&R) product within the Social Commerce group. We are looking for someone with prior Engineering experience, ideally within the E-commerce and SaaS space.

The Software Engineer’s primary focus will be on web services, mostly built with Java. Scalability and quality of performance will be of utmost importance, as we continue to scale and integrate our services into the broader Emplifi Suite.

This role will require a deep technical understanding of our system and products to effectively execute, while providing insightful product and user focused decision making when needed. They will work closely with Design, Product, and DevOps to develop and maintain our embedded content galleries, as well as our management dashboard used by hundreds of major brands across the world.

What You’ll Do Here

• Work closely with designers, PMs, and engineers to tackle challenging problems in the Collect, manage, and display high-quality product reviews, Q&As, checkout comments, and seller ratings that drive conversions and engagement at the point of purchase from start to finish
• Collaborate and extend projects across a variety of R&R services, including scalable back-end APIs, embedded widgets, integrations with e-commerce platforms, email and sms providers, etc.
• Consistently challenge and influence the direction of our product offerings with confidence through both technical and user-focused thinking
• Architect and develop high-performance, highly available, and secure software solutions that scale to millions of users, leveraging your full-stack expertise to drive continuous innovation and efficiency
• Communicate effectively with product management, design teams, architects, and other development and technical teams to ensure our customers receive maximum value from our product offerings
• Apply your infrastructure and scripting knowledge to support team-wide DevOps initiatives and engineer enablement work
• Take ownership of system reliability by diagnosing and resolving bugs and issues that emerge from real-world usage and customer interactions, ensuring a seamless user experience
• Use your experience to expand engineering best practices, documentation, and other key processes for our growing team

What You’ll Bring to Us

• Developer who enjoys technical challenges and is eager to learn and explore various technologies in full-stack development
• Solid JEE foundation, Experience with Groovy, Grails or Spring Boot
• Experience with event-driven architecture and messaging systems such as Apache Kafka
• Familiarity with search technologies like OpenSearch or Elasticsearch
• Strong skills in SQL, Hibernate, and Spring Core, with experience in relational databases, familiarity with NoSQL data stores is a plus
• Strong knowledge of web standards and advanced front-end technologies, including JavaScript, React.js, jQuery, or other frameworks like Bootstrap or Angular
• Experience with eCommerce platforms such as Shopify, Salesforce Commerce Cloud, BigCommerce, or Magento would be a plus
• Experience with microservices architecture
• Experienced in Agile project frameworks and familiar with work management tools such as Jira
• Very proactive approach to solving problems
• Excellent communication skills, written and verbal
• Ability to write documentation clearly and concisely, and to communicate well with non-IT personnel

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
• Internal tech talks, Udemy courses and workshops 
• Meetups & conferences 
• Possibility to work from offices in Prague (Karlin), Brno 
• 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 Ratings & Reviews 

Emplifi’s Ratings & Reviews platform helps brands collect and showcase customer feedback to build trust and boost conversions. Its Speedflex™ widgets load 85% faster and support a range of review types, including visual content and Q&A. The platform simplifies review collection and integrates easily across email, SMS, apps, and loyalty programs. With customizable designs, strong moderation tools, and deep analytics, businesses can manage reviews effectively and gain insights into customer sentiment.

About the Role

As a Software Engineer you will play a vital role in building and maintaining applications and back-end services of the Rating and Reviews (R&R) product within the Social Commerce group. We are looking for someone with prior Engineering experience, ideally within the E-commerce and SaaS space.

The Software Engineer’s primary focus will be on web services, mostly built with Java. Scalability and quality of performance will be of utmost importance, as we continue to scale and integrate our services into the broader Emplifi Suite.

This role will require a deep technical understanding of our system and products to effectively execute, while providing insightful product and user focused decision making when needed. They will work closely with Design, Product, and DevOps to develop and maintain our embedded content galleries, as well as our management dashboard used by hundreds of major brands across the world.

What You’ll Do Here

• Work closely with designers, PMs, and engineers to tackle challenging problems in the Collect, manage, and display high-quality product reviews, Q&As, checkout comments, and seller ratings that drive conversions and engagement at the point of purchase from start to finish
• Collaborate and extend projects across a variety of R&R services, including scalable back-end APIs, embedded widgets, integrations with e-commerce platforms, email and sms providers, etc.
• Consistently challenge and influence the direction of our product offerings with confidence through both technical and user-focused thinking
• Architect and develop high-performance, highly available, and secure software solutions that scale to millions of users, leveraging your full-stack expertise to drive continuous innovation and efficiency
• Communicate effectively with product management, design teams, architects, and other development and technical teams to ensure our customers receive maximum value from our product offerings
• Apply your infrastructure and scripting knowledge to support team-wide DevOps initiatives and engineer enablement work
• Take ownership of system reliability by diagnosing and resolving bugs and issues that emerge from real-world usage and customer interactions, ensuring a seamless user experience
• Use your experience to expand engineering best practices, documentation, and other key processes for our growing team

What You’ll Bring to Us

• Developer who enjoys technical challenges and is eager to learn and explore various technologies in full-stack development
• Solid JEE foundation, Experience with Groovy, Grails or Spring Boot
• Experience with event-driven architecture and messaging systems such as Apache Kafka
• Familiarity with search technologies like OpenSearch or Elasticsearch
• Strong skills in SQL, Hibernate, and Spring Core, with experience in relational databases, familiarity with NoSQL data stores is a plus
• Strong knowledge of web standards and advanced front-end technologies, including JavaScript, React.js, jQuery, or other frameworks like Bootstrap or Angular
• Experience with eCommerce platforms such as Shopify, Salesforce Commerce Cloud, BigCommerce, or Magento would be a plus
• Experience with microservices architecture
• Experienced in Agile project frameworks and familiar with work management tools such as Jira
• Very proactive approach to solving problems
• Excellent communication skills, written and verbal
• Ability to write documentation clearly and concisely, and to communicate well with non-IT personnel

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
• Internal tech talks, Udemy courses and workshops 
• Meetups & conferences 
• Possibility to work from offices in Prague (Karlin), Brno 
• 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.

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 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 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:

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

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

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!

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!

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:

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

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

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.

About the Role: 

As a Cloud Ops Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution

For this position, we are seeking an Observability Hero who will be responsible for the fault tolerance, scalability, and performance of logging pipelines and monitoring

Your Impact: 

• Managing the Wrike product infrastructure
• Implementing reliable solutions to ensure a product uptime SLA of 99.9%
• Working with GCP, AWS and other cloud providers in the IaC paradigm
• Introducing and supporting new infrastructure services
• Actively participating in incident response and management, including on-call duties
• Developing and maintaining professional connections within and outside of the team

Your Qualifications: 

• PostgreSQL as DB platform
• Kafka and rabbitmq for messaging
• Kubernetes and ArgoCD (Service-oriented architecture)
• Nginx, HAproxy and Istio for load balancing
• GCP, AWS and Cloudflare are our main cloud providers
• Puppet, Ansible and Terraform for defining everything as a code
• Python to automate everything
• Prometheus (VictoriaMetrics) and Zabbix for monitoring
• Graylog, Logstash, Fluentd for logging
• Jenkins and Gitlab-CI for building pipelines
• Upper Intermediate English skills

Standout Qualities: 

• A suitable candidate must have extensive hands-on experience supporting and optimizing the Observability stack
• Intermediate knowledge of the following areas: Data networks, Security, Databases, Cloud providers, Process automation, Kubernetes
• Advanced experience with any Cloud Provider management using IAC (AWS/GCP/Azure).
• Advanced Linux administration skills with experience in maintaining highly available infrastructure for web application stack

Team Dynamics: 

• Your manager will be Dmitrii Vlasov, SysOps Team Lead 
• We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn

Our Work Style:

• Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
• Hybrid mode (1-2 days per week)
• On-call shifts in production and development environments

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Why Join Wrike?

• 30 days of paid vacation + seniority leave + Recovery Days (RTT)
• Parental Leave: 16 Weeks Maternity / 4 Weeks Paternity + Daycare Spot
• Health Insurance (Employees + Dependents)
• Life Insurance Plan
• Home Allowance (Hybride 20€/month or Full remote 50€/month)
• Public transportation: Coverage of 75% of subscription fee / Sustainable mobility package 200€/year
• CSE Specific Benefits i.e. vacation vouchers,negotiated fees etc. 

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.


#LI-AV1

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

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

• Design, build, and maintain scalable and reusable frontend systems that form the foundation of our UI platform, supporting organization-wide frontend development needs and directly enhancing user experience and platform reliability.
• Collaborate closely with product managers, UX designers, and fellow engineers to translate design concepts and user requirements into high-quality, functional code.
• Lead the entire feature development lifecycle, from initial ideation and technical design to implementation and deployment, ensuring a high standard of code quality and performance.
• Optimize our web applications for peak performance and responsiveness, ensuring a consistent and seamless experience for customers, regardless of their device or browser.
• Take ownership of key projects that directly impact the usability and security of our cloud platform, ensuring customers can safely and easily manage their data storage.

• 5+ years of software engineering experience in a full-stack or frontend-focused capacity, specifically building customer-facing SaaS or cloud platforms.
• Advanced Frontend Expertise: TypeScript and JavaScript frameworks (such as Angular or React) with a proven ability to architect asynchronous logic and manage complex module bundling.
• Modern Web Fundamentals: A strong command of HTML and CSS/Sass, with a deep understanding of layout, specificity, and accessibility best practices for building cross-browser compatible applications.
• Responsive Design & UX: A track record of engineering high-performance, responsive web applications that ensure a seamless user experience across a diverse range of devices and screen sizes.
• Cloud-Native Proficiency: Practical experience working within Kubernetes and AWS environments to deploy and manage scalable, modern web services.
• Technical Adaptability: Demonstrated ability to quickly ingest and apply new technologies, frameworks, and engineering best practices to a fast-evolving product ecosystem.
• Office Presence: 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.

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

Become a Senior SRE for Bloomreach!

Join the newly form Datacraft team — the team building the next-generation data platform for Bloomreach Engagement. Datacraft owns three interconnected domains:

• Data Warehouses (~60%) — making Bloomreach data first-class in customer DWHs (Snowflake, BigQuery, Databricks). The strategic goal for 2026–27 is to use DWHs to exponentially accelerate data adoption.
• Loomi Analytics Agent (~20%) — evolving Loomi Analytics into an agentic analytics assistant that can explore data across systems, explain insights, and act on them.
• Dashboards & Analytics Stack (~20%) — moving Engagement reporting onto DWH-backed, modern analytics stacks (semantic layers, headless BI tools).

As a Senior SRE, you will be the reliability backbone of this AI-first data team. Your work will directly impact the deployments, pipelines, reliability, and observability of pipelines and services that hundreds of enterprise customers depend on — from data exports into Databricks and BigQuery, to the  AI agent Loomi uses to surface insights.

Datacraft is an AI-first team. We believe code is a commodity and expect every engineer to fluently use coding agents (e.g., Cursor, Claude Code, Copilot, Gemini CLI) as a core part of their daily workflow. The ability to leverage AI tooling to accelerate development, prototyping, and problem-solving is not optional — it's foundational. Working in one of our Central European offices (Bratislava, Praha, Brno) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

As a P3 (Senior) SRE at Bloomreach, you are an independent professional — expert in reliability engineering, able to decompose objectives into actionable infrastructure improvements, and lead initiatives end-to-end with minimal day-to-day guidance.

We need you to build and operate an ecosystem where data engineers can safely and efficiently develop, debug, and operate data-intensive jobs and services — spanning Kafka ingest pipelines, Iceberg data lakes, multi-DWH exports, Databricks deployment and orchestration (Airflow / Cloud Composer), and agentic AI workloads.

Your responsibilities

a. Platform reliability & observability

• Build and maintain the reliability ecosystem where engineers can safely develop, debug, and operate DataCraft services running on GCP and Kubernetes (DataProc, Cloud Composer, BigQuery, Snowflake/Databricks connectors).
• Ensure end-to-end observability across the full data platform — from Kafka ingest through GCS/Iceberg staging, Airflow orchestration, to Databricks and BigQuery destinations — enabling the team to catch missing loads, SLA breaches, and data drifts before customers notice, or costs drift.
• Drive scalability so services can scale vertically and horizontally based on operational and telemetric data (OpenTelemetry, Prometheus, Victoria Metrics).
• Maintain team health dashboards and alerting (Grafana, PagerDuty, Sentry).

b. Infrastructure as Code & deployments

• Own and evolve Terraform-based infrastructure for DataCraft services.
• Automate deployments, instance setup, and operational runbooks to eliminate manual/semi-manual steps.
• Maintain CI/CD pipelines (GitLab) with linters, security scans, and code quality checks, AI code reviews, enabling engineers to produce high-quality MRs.

c. Security & compliance

• Help the team fulfill security requirements for ISO and SOC2 audits by enforcing security principles: key distribution, key rotation, authorization & authentication at the service level, data encryption in transit, data isolation, resource limitations, and audit logs.
• Ensure data access controls are properly enforced across multi-DWH environments (BigQuery, Snowflake, Databricks).

d. Incident management & L3 support

• Participate in and drive L3 on-call rotation and incident resolution for DataCraft services.
• Contribute tooling for debugging, troubleshooting, and performance testing of data pipelines and orchestration layers.
• Use telemetry data and distributed tracing to navigate complex, distributed service architectures.

e. Agentic platform reliability

• Ensure reliability and observability of the Loomi Analytics Agent data infrastructure — LLM API gateway performance, MCP server health, and evaluation pipeline availability.
• Monitor and alert on data quality issues that could introduce inconsistencies or hallucinations in Loomi's responses — making the agent's data access patterns reliable and debuggable.

Our tech stack

Languages: Python (primary), Go, SQL Messaging & streaming: Apache Kafka Storage & databases: Databricks, BigQuery, Apache Iceberg, GCS, Mongo, Redis Data processing & orchestration: Apache Spark, DataFlow, Airflow / Cloud Composer Infrastructure: GCP, Kubernetes, Terraform AI / Agentic: LLM APIs, MCP, agent orchestration frameworks Observability: Grafana, Prometheus, Victoria Metrics, PagerDuty, Sentry, OpenTelemetry CI/CD & tooling: GitLab, Jira, Confluence AI coding agents: Cursor, Claude Code

Your qualifications

Professional experience

Impact

• You can articulate how your contributions transformed the way engineers work and fostered a strong SRE/DevOps culture.
• You can demonstrate how impactful reliability work connects to business success and customer outcomes.

Ownership

• You embrace the you build it, you run it principle — you love owning what you ship.
• You are cost-aware: effective vertical and horizontal autoscaling and detailed telemetry insights are how you demonstrate mindfulness of cloud spend.

Systematic approach

• Infrastructure as Code is the only thing that brings stability into chaos
• You design for failure: SLOs, error budgets, and runbooks are first-class artifacts, not afterthoughts.

Data-driven

• You use telemetry and metrics to give engineers actionable feedback on how applications and services behave.
• You can navigate complex data platform architectures using distributed tracing and debugging.

Technical skills

• Solid hands-on experience with GCP (BigQuery, DataProc, Cloud Composer, GCS) and Kubernetes.
• Experience with Python; Go is a strong advantage.
• Familiarity with data pipeline technologies (Kafka, Airflow/Cloud Composer, Spark, Iceberg) — you don't need to write ETL code, but you need to operate it reliably and know when something is wrong.
• Fluent use of AI coding agents (Cursor, Claude Code, Copilot, Gemini CLI, or similar) — you already use these tools daily to accelerate work.
• Comfortable with on-call rotation and 24/7 incident response.
• Remote-first mindset — you know how to be effective in distributed teams.
• You are able to learn and adapt — essential when exploring new tech or navigating our growing codebase.

Strongly preferred

• Experience operating single-DWH environments (Snowflak, Databricks or BigQuery).
• Familiarity with agentic/LLM workloads — API reliability, latency SLOs, trace observability for AI systems.
• Experience with open table formats (Iceberg, Delta Lake) in production environments.
• Exposure to data security and compliance in the context of customer-facing DWH integrations (consent, data retention, PII handling).

Personal qualities

• Ownership & accountability — you take issues from detection through to resolution and follow-up prevention.
• Systematic thinking — you identify root causes, not symptoms, and document your findings so the team learns.
• Collaboration & communication — you explain trade-offs and constraints clearly to both engineers and non-engineers.
• Bias for reliability — operational excellence (SLOs, oncall friendliness, proactive alerting) is not a chore, it's your craft.
• Continuous improvement mindset — you are comfortable iterating, revisiting assumptions, and improving incrementally.
• Comfortable operating remote-first in a distributed team across Central Europe.

Your success story

In 30 days:

• Get to know the DataCraft team, the company, and the most important processes.
• Set up your local and GCP development environment and complete the Engagement engineering onboarding.
• Understand the current state of DataCraft services: pipelines, orchestration, observability gaps, and on-call runbooks.

In 90 days:

• Start contributing to the L3 on-call rotation, handling incidents, troubleshooting, and debugging — which will sharpen your understanding of the platform and surface fresh improvement ideas.
• Deliver your first meaningful reliability improvement: an observability enhancement, a deployment automation, or an SLO definition for a key DataCraft service.

In 180 days:

• Own the reliability posture of at least one DataCraft domain end-to-end — able to independently design, operate, and continuously improve it.
• Drive measurable improvements in MTTR, alert signal-to-noise ratio, or deployment confidence across the team.
• Be a trusted reliability partner in architecture discussions — your input shapes how new DataCraft services are designed for operability from day one.

#LI-KP1

Become a Senior SRE for Bloomreach!

Join the newly form Datacraft team — the team building the next-generation data platform for Bloomreach Engagement. Datacraft owns three interconnected domains:

• Data Warehouses (~60%) — making Bloomreach data first-class in customer DWHs (Snowflake, BigQuery, Databricks). The strategic goal for 2026–27 is to use DWHs to exponentially accelerate data adoption.
• Loomi Analytics Agent (~20%) — evolving Loomi Analytics into an agentic analytics assistant that can explore data across systems, explain insights, and act on them.
• Dashboards & Analytics Stack (~20%) — moving Engagement reporting onto DWH-backed, modern analytics stacks (semantic layers, headless BI tools).

As a Senior SRE, you will be the reliability backbone of this AI-first data team. Your work will directly impact the deployments, pipelines, reliability, and observability of pipelines and services that hundreds of enterprise customers depend on — from data exports into Databricks and BigQuery, to the  AI agent Loomi uses to surface insights.

Datacraft is an AI-first team. We believe code is a commodity and expect every engineer to fluently use coding agents (e.g., Cursor, Claude Code, Copilot, Gemini CLI) as a core part of their daily workflow. The ability to leverage AI tooling to accelerate development, prototyping, and problem-solving is not optional — it's foundational. 

For candidates at the P3 / Senior SRE level, starting monthly compensation begins at 3 800 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Praha, Brno) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

As a P3 (Senior) SRE at Bloomreach, you are an independent professional — expert in reliability engineering, able to decompose objectives into actionable infrastructure improvements, and lead initiatives end-to-end with minimal day-to-day guidance.

We need you to build and operate an ecosystem where data engineers can safely and efficiently develop, debug, and operate data-intensive jobs and services — spanning Kafka ingest pipelines, Iceberg data lakes, multi-DWH exports, Databricks deployment and orchestration (Airflow / Cloud Composer), and agentic AI workloads.

Your responsibilities

a. Platform reliability & observability

• Build and maintain the reliability ecosystem where engineers can safely develop, debug, and operate DataCraft services running on GCP and Kubernetes (DataProc, Cloud Composer, BigQuery, Snowflake/Databricks connectors).
• Ensure end-to-end observability across the full data platform — from Kafka ingest through GCS/Iceberg staging, Airflow orchestration, to Databricks and BigQuery destinations — enabling the team to catch missing loads, SLA breaches, and data drifts before customers notice, or costs drift.
• Drive scalability so services can scale vertically and horizontally based on operational and telemetric data (OpenTelemetry, Prometheus, Victoria Metrics).
• Maintain team health dashboards and alerting (Grafana, PagerDuty, Sentry).

b. Infrastructure as Code & deployments

• Own and evolve Terraform-based infrastructure for DataCraft services.
• Automate deployments, instance setup, and operational runbooks to eliminate manual/semi-manual steps.
• Maintain CI/CD pipelines (GitLab) with linters, security scans, and code quality checks, AI code reviews, enabling engineers to produce high-quality MRs.

c. Security & compliance

• Help the team fulfill security requirements for ISO and SOC2 audits by enforcing security principles: key distribution, key rotation, authorization & authentication at the service level, data encryption in transit, data isolation, resource limitations, and audit logs.
• Ensure data access controls are properly enforced across multi-DWH environments (BigQuery, Snowflake, Databricks).

d. Incident management & L3 support

• Participate in and drive L3 on-call rotation and incident resolution for DataCraft services.
• Contribute tooling for debugging, troubleshooting, and performance testing of data pipelines and orchestration layers.
• Use telemetry data and distributed tracing to navigate complex, distributed service architectures.

e. Agentic platform reliability

• Ensure reliability and observability of the Loomi Analytics Agent data infrastructure — LLM API gateway performance, MCP server health, and evaluation pipeline availability.
• Monitor and alert on data quality issues that could introduce inconsistencies or hallucinations in Loomi's responses — making the agent's data access patterns reliable and debuggable.

Our tech stack

Languages: Python (primary), Go, SQL Messaging & streaming: Apache Kafka Storage & databases: Databricks, BigQuery, Apache Iceberg, GCS, Mongo, Redis Data processing & orchestration: Apache Spark, DataFlow, Airflow / Cloud Composer Infrastructure: GCP, Kubernetes, Terraform AI / Agentic: LLM APIs, MCP, agent orchestration frameworks Observability: Grafana, Prometheus, Victoria Metrics, PagerDuty, Sentry, OpenTelemetry CI/CD & tooling: GitLab, Jira, Confluence AI coding agents: Cursor, Claude Code

Your qualifications

Professional experience

Impact

• You can articulate how your contributions transformed the way engineers work and fostered a strong SRE/DevOps culture.
• You can demonstrate how impactful reliability work connects to business success and customer outcomes.

Ownership

• You embrace the you build it, you run it principle — you love owning what you ship.
• You are cost-aware: effective vertical and horizontal autoscaling and detailed telemetry insights are how you demonstrate mindfulness of cloud spend.

Systematic approach

• Infrastructure as Code is the only thing that brings stability into chaos
• You design for failure: SLOs, error budgets, and runbooks are first-class artifacts, not afterthoughts.

Data-driven

• You use telemetry and metrics to give engineers actionable feedback on how applications and services behave.
• You can navigate complex data platform architectures using distributed tracing and debugging.

Technical skills

• Solid hands-on experience with GCP (BigQuery, DataProc, Cloud Composer, GCS) and Kubernetes.
• Experience with Python; Go is a strong advantage.
• Familiarity with data pipeline technologies (Kafka, Airflow/Cloud Composer, Spark, Iceberg) — you don't need to write ETL code, but you need to operate it reliably and know when something is wrong.
• Fluent use of AI coding agents (Cursor, Claude Code, Copilot, Gemini CLI, or similar) — you already use these tools daily to accelerate work.
• Comfortable with on-call rotation and 24/7 incident response.
• Remote-first mindset — you know how to be effective in distributed teams.
• You are able to learn and adapt — essential when exploring new tech or navigating our growing codebase.

Strongly preferred

• Experience operating single-DWH environments (Snowflak, Databricks or BigQuery).
• Familiarity with agentic/LLM workloads — API reliability, latency SLOs, trace observability for AI systems.
• Experience with open table formats (Iceberg, Delta Lake) in production environments.
• Exposure to data security and compliance in the context of customer-facing DWH integrations (consent, data retention, PII handling).

Personal qualities

• Ownership & accountability — you take issues from detection through to resolution and follow-up prevention.
• Systematic thinking — you identify root causes, not symptoms, and document your findings so the team learns.
• Collaboration & communication — you explain trade-offs and constraints clearly to both engineers and non-engineers.
• Bias for reliability — operational excellence (SLOs, oncall friendliness, proactive alerting) is not a chore, it's your craft.
• Continuous improvement mindset — you are comfortable iterating, revisiting assumptions, and improving incrementally.
• Comfortable operating remote-first in a distributed team across Central Europe.

Your success story

In 30 days:

• Get to know the DataCraft team, the company, and the most important processes.
• Set up your local and GCP development environment and complete the Engagement engineering onboarding.
• Understand the current state of DataCraft services: pipelines, orchestration, observability gaps, and on-call runbooks.

In 90 days:

• Start contributing to the L3 on-call rotation, handling incidents, troubleshooting, and debugging — which will sharpen your understanding of the platform and surface fresh improvement ideas.
• Deliver your first meaningful reliability improvement: an observability enhancement, a deployment automation, or an SLO definition for a key DataCraft service.

In 180 days:

• Own the reliability posture of at least one DataCraft domain end-to-end — able to independently design, operate, and continuously improve it.
• Drive measurable improvements in MTTR, alert signal-to-noise ratio, or deployment confidence across the team.
• Be a trusted reliability partner in architecture discussions — your input shapes how new DataCraft services are designed for operability from day one.

#LI-KP1

Writing software is your hobby. You want to team up with great people because that’s the best way to grow and learn. You want your work to make a positive impact in the world. You love the idea that your code can help combat global crime. Is this you? Then you will fit well in our team. 

We are building cutting-edge solutions to create a safer world and stop money from ending up in the hands of criminals. Your work will allow our clients to identify and understand criminal, financial, and political risks, updating dynamically as new data becomes available from various sources (sanctions, watchlists, corporate registries, media, …).

As a Junior Software Engineer, you will:

• Collaborate on the design and build distributed data pipelines and the system around our Knowledge Graph to build and improve our next-generation anti-money laundering solution.
• Work with our product manager(s) to understand and contribute to our goals, find a solution to reach them and prioritise accordingly.
• Engage in the full product lifecycle, including ideation, design, and deployment and get code from initial requirements to deployed services in production (with help of our SRE teams).
• Improve scalability, latency and throughput of our pipelines while keeping high standards in systems reliability and resilience.
• Model data and design schemas to accommodate the needs of our Knowledge Graph and the whole data ecosystem.
• Collaborate with squads and functions across the company to ensure the quality and impact of your designed solutions.
• Be responsible for the quality of your code. Write tests, document, and take ownership of the systems that ensure the quality of our code.
• Work with ML engineers to build and deploy new features for AI-powered components.
• Actively learn, adopt best practices, identify space for improvement, contribute to our engineering culture and always strive for making us better.
• Use AI-assisted development tools (like Claude Code or Gemini Code Assist) under guidance to improve your productivity and code quality.

Our Tech Stack:

The data-driven nature of the role and the prominence of Python in the data and ML ecosystem means you will primarily work in Python and engineer data pipelines. Any relevant experience is going to be helpful but we believe that top engineers are able to learn quickly and adapt to new technologies so that we can innovate and react to the fast changing world. 

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP;
• Python and Kotlin programming languages;
• Spark, Databricks, Google Dataproc, Delta lakes for stream and big data processing;
• Relational (Postgres), large scale NoSQL and graph databases and other distributed or cloud-based object stores;
• Event-sourced model powered by Kafka for our communication bus;
• Modern observability solutions (such as Datadog or Grafana);
• Git, ArgoCD, Terraform, Kubernetes.

About you: 

As a Junior Software Engineer, you will have: 

• Strong sense of ownership and accountability (you are able to independently drive your work to the successful end and ask for help if needed).
• Master degree in Computer Science, Engineering, or a related field, OR equivalent practical experience (approx 1-2 years of professional experience in relevant role).
• Intermediate knowledge of one or more programming languages.
• Experience with Python on a real-world project.
• Experience with code versioning (Git).
• Experience with key software engineering concepts like unit tests, databases.
• At least basic experience with working in cloud environment (preferably GCP, AWS or Azure).
• Ability to work effectively in a team and communicate clearly.

Nice to haves: 

• Experience working in a multi-disciplinary team of Data Scientists, ML Engineers, SREs and product managers.
• Experience working with distributed computing.
• Experience with a real-world production grade system(s) and its deployment.
• Experience working with knowledge graphs or graph databases.
• Experience with data analysis, relevant machine learning techniques and graph algorithms.
• Experience with agile methodologies in software development.
• Experience in development using Java or Kotlin.

What’s in it for you? 

• Equity as we want you to have a part of what we are building.
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 

We want you to join us full-time as a Staff Backend Engineer. You will work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. For candidates at the P4 / Staff Software Engineer level, starting monthly compensation begins at 4 400 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included.

The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. 

Then you spend a few undisturbed hours “in the flow,” working on a technical design doc for a new project. Once you’ve completed a draft, you send it to another teammate for feedback, then decide to jump on a Zoom call to talk it over and refine it.

After lunch, you join the team for a quick standup via Zoom to discuss current work and the plan for the next few days. You mention that you’re finishing up a small improvement to improve the logging and alerting for one of our components that requires high uptime. A teammate offers to review your changes. It has some complex behavior, so you walk through it together and make a few improvements.

Soon, the new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you and your teammate decide to merge the change. Your improvement will be deployed in production with the release in a few days.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a chat with a product manager about questions that came up while drafting the tech design. With their feedback, you refine the proposal to deliver the core feature more quickly, while the product manager will work with customers and decide how much more to invest. Tomorrow, you’ll break down the tasks in Jira and decide what you’ll complete yourself and what you’ll ask teammates to complete….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (5+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

#LI-KP1

We want you to join us full-time as a Staff Backend Engineer. You will work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. 

Then you spend a few undisturbed hours “in the flow,” working on a technical design doc for a new project. Once you’ve completed a draft, you send it to another teammate for feedback, then decide to jump on a Zoom call to talk it over and refine it.

After lunch, you join the team for a quick standup via Zoom to discuss current work and the plan for the next few days. You mention that you’re finishing up a small improvement to improve the logging and alerting for one of our components that requires high uptime. A teammate offers to review your changes. It has some complex behavior, so you walk through it together and make a few improvements.

Soon, the new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you and your teammate decide to merge the change. Your improvement will be deployed in production with the release in a few days.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a chat with a product manager about questions that came up while drafting the tech design. With their feedback, you refine the proposal to deliver the core feature more quickly, while the product manager will work with customers and decide how much more to invest. Tomorrow, you’ll break down the tasks in Jira and decide what you’ll complete yourself and what you’ll ask teammates to complete….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (5+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

#LI-KP1

As an Account Executive 3 at Wrike, you will play a critical role in landing key enterprise accounts. You’ll own the full sales cycle with new logos, engaging at C-suite/executive level, partnering with cross-functional teams, and demonstrating Wrike’s impact on enterprise transformation and ROI. You’ll thrive in a fast-paced, high-growth environment where your consultative approach and tenacity will directly unlock new business and deepen Wrike’s brand as a leader in the market.

If you’re a collaborative professional who thrives in a fast-paced environment and enjoys connecting technology solutions to real business challenges, we want to hear from you!

Your Impact:

• Develop, manage, and close complex sales cycles; prospecting, leading discovery, presenting business cases, negotiating contracts, and landing new logos at the enterprise level (5,000+ employees).
• Deliver compelling presentations and business cases to executive audiences, demonstrating strategic thinking, business acumen, and exceptional consultative communication skills.
• Provide highly accurate and insight-driven monthly, quarterly, and annual pipeline forecasts, and maintain meticulous CRM (Salesforce) hygiene.
• Serve as an expert consultant on digital and operational transformation; drive opportunities to upsell, cross-sell, and expand engagement within enterprise accounts.
• Proactively lead and coordinate cross-functional account teams—including Marketing, Sales Development, Solution Consultants, Legal, Security, and Implementation—to deliver a world-class enterprise client experience.
• Skillfully navigate complex legal, procurement, compliance, and security processes in collaboration with internal teams and enterprise client stakeholders.
• Stay at the forefront of SaaS trends and industry best practices to be a valued advisor to your clients and the broader Wrike team.
• Guide enterprise buyers through organizational change management and adoption planning, ensuring alignment, education, and readiness across large buying groups.
• Ensure a seamless and comprehensive handoff to Customer Success and Implementation teams, clearly documenting goals, expectations, and key learnings for ongoing client engagement.
• Regularly capture and communicate enterprise customer insights, competitive intelligence, and market feedback to Product, Sales, and Marketing leadership for continuous improvement.
• Mentor and support development of junior account executives, sharing best practices and contributing to team enablement initiatives.

Your Qualifications:

• Fluent in German & English
• 5+ years of successful full-cycle SaaS sales experience, including enterprise-level new business acquisition (large deal sizes, multiple stakeholders)
• Demonstrated success executing complex deals with Fortune 1000/Global 5000 organizations and C-suite stakeholders
• Skilled in delivering consultative, solution-based sales cycles using methodologies like MEDDIC, Challenger, or Question-Based Selling
• Outstanding executive presence, business acumen, and ability to translate technical value into compelling ROI/value stories tailored to customer needs
• Proven ability to manage multiple sales processes and large pipelines, with consistent attainment or overachievement of quotas
• Strong written, verbal, and presentation skills; comfortable leading high-stakes executive meetings and product demos
• Experience managing legal, procurement, and information security processes for large enterprise agreements
• Proficiency with Salesforce and the modern SaaS sales tech stack

Standout Qualities:

• Experience in work management, project management, or a track record of selling to our ideal customer profiles (ICPs) in Marketing, Professional Services, Manufacturing or Engineering
• Fluent in German and English (verbal & Written)

Team Dynamics:

You’ll join Wrike’s high-performing New Business team, where your primary focus will be acquiring new enterprise customers and driving revenue growth. As a key member of our enterprise sales organization, you’ll play a critical role in expanding Wrike’s presence by landing new logos, shaping our go-to-market strategy, and fueling our continued growth in the enterprise segment.

Our Work Style:

• Collaborative Culture: Work alongside ambitious, supportive colleagues who celebrate wins together
• Comprehensive Training: Structured onboarding and ongoing sales enablement to help you master our product and refine your skills
• Work Flexibility: Options for remote work with the support you need to succeed from your home or the office
• Competitive Compensation: Base salary plus uncapped commission structure that rewards performance

Growth Opportunities:

Clear career progression paths with opportunities to advance into senior account management or leadership roles, based on your performance and goals

Why Join Wrike? 

• 5 Weeks of paid vacation
• Sick Leave Compensation 
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional 
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

Your recruitment buddy will be Aziza Talhi, Senior Recruiter.

#LI-AT1

Are you looking for a cutting-edge tech stack to work with and to make an impact on a daily basis? We are currently forming a team of software engineers dedicated to developing and maintaining Web & Mobile SDKs for our customers, and we are looking for a new colleague to join as a Senior Software Engineer for JS Web SDK & React Native Mobile SDK (Engagement). For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Brno, Prague, Bratislava) or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer for JS Web SDK & React Native Mobile SDK at our company, you'll encounter exciting, high-end technical challenges. You'll be part of a team that delivers innovative features, enabling our clients to build powerful mobile applications using Web & Mobile SDKs on platforms of their preference (Web: TypeScript, Mobile Natives: Android, iOS, Mobile Wrappers: React Native, Flutter). These SDKs track user behavior and provide capabilities to deliver personalized content. You’ll work on implementing and extending components that provide features like push notifications, in-app messaging, tracking, dynamic rendering, and many more. We will encourage you to explore and engage with various parts of our platform. Your primary focus will be in JavaScript / TypeScript for Web & Mobile React Native SDK Wrapper.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and compatibility
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for product features into detailed technical specifications and comprehensive design documents.
• Define and develop new features with a strong emphasis on quality, usability, and performance.
• Build, publish and monitor new versions of React Native Platform, ensuring seamless adoption.
• Stay updated with the latest industry trends and technologies to incorporate best practices into the development process.

b. Ensure quality and compatibility

• Implement robust testing, and validation processes to ensure the reliability and stability of the new features.
• Measure and tune client-side performance of our features.
• Continuously improve the technical quality and ease of use of Web & React Native SDKs.
• Make sure we utilize all the mobile technologies in the best way - ensuring our Web & React Native SDKs are functional, secure and high performance. 
• Conduct regular code reviews and use static code analysis tools to maintain high code quality.
• Collaborate with QA engineers to develop comprehensive test plans and automated tests. 

c. Support and Maintain owned components

• Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code including guides, configuration instructions, feature descriptions, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.
• Utilize feedback from users and stakeholders to continually improve the functionality and usability of Mobile SDKs.

What tech stack do we have for you?

• Web JavaScript / TypeScript SDK: JavaScript, TypeScript, HTML/CSS, Mustache, Jest, Karma, Docker
• React Native Wrapper Mobile SDK (Android & iOS): React Native, JavaScript & TypeScript, CocoaPods, Yarn, npm, Babel, Jest
• Common Tech Stack: Software & Tools - Grafana, Sentry, GitHub, GitLab, Jira, Productboard

You will be developing new features and maintaining the codebase to ensure compatibility with different versions. Therefore, you should be passionate about new features in mobile technologies, and be keen to investigate how personalization may work in the context of today's privacy-focused digital world.

Both Web & Mobile SDKs are being integrated with internal APIs written in Golang & Python, which run on top of Kubernetes and Google Cloud. While these won’t be your primary focus, we highly value your involvement in other parts of the platform.

Your success story will be:

• In 30 Days: Successfully onboard, get familiar with Web JavaScript / TypeScript & React Native Mobile SDKs, and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional — Proven experience in web & mobile development, knowledge of wrappers, mobile ecosystem, system design, and maintenance.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in the area of web & mobile development, which is essential for building SDKs for web browsers and React Native mobile applications.
• Overview of technologies and programming languages used for wrapping mobile applications.
• Solid understanding of the mobile development ecosystem. An experience in building libraries or SDKs is an advantage. Familiarity with the build and publishing of mobile applications.
• Experience with dynamic rendering would be a valued asset.
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

#LI-KP1

Are you looking for a cutting-edge tech stack to work with and to make an impact on a daily basis? We are currently forming a team of software engineers dedicated to developing and maintaining Web & Mobile SDKs for our customers, and we are looking for a new colleague to join as a Senior Software Engineer for JS Web SDK & React Native Mobile SDK (Engagement). Working in one of our Central European offices (Brno, Prague, Bratislava) or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer for JS Web SDK & React Native Mobile SDK at our company, you'll encounter exciting, high-end technical challenges. You'll be part of a team that delivers innovative features, enabling our clients to build powerful mobile applications using Web & Mobile SDKs on platforms of their preference (Web: TypeScript, Mobile Natives: Android, iOS, Mobile Wrappers: React Native, Flutter). These SDKs track user behavior and provide capabilities to deliver personalized content. You’ll work on implementing and extending components that provide features like push notifications, in-app messaging, tracking, dynamic rendering, and many more. We will encourage you to explore and engage with various parts of our platform. Your primary focus will be in JavaScript / TypeScript for Web & Mobile React Native SDK Wrapper.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and compatibility
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for product features into detailed technical specifications and comprehensive design documents.
• Define and develop new features with a strong emphasis on quality, usability, and performance.
• Build, publish and monitor new versions of React Native Platform, ensuring seamless adoption.
• Stay updated with the latest industry trends and technologies to incorporate best practices into the development process.

b. Ensure quality and compatibility

• Implement robust testing, and validation processes to ensure the reliability and stability of the new features.
• Measure and tune client-side performance of our features.
• Continuously improve the technical quality and ease of use of Web & React Native SDKs.
• Make sure we utilize all the mobile technologies in the best way - ensuring our Web & React Native SDKs are functional, secure and high performance. 
• Conduct regular code reviews and use static code analysis tools to maintain high code quality.
• Collaborate with QA engineers to develop comprehensive test plans and automated tests. 

c. Support and Maintain owned components

• Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code including guides, configuration instructions, feature descriptions, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.
• Utilize feedback from users and stakeholders to continually improve the functionality and usability of Mobile SDKs.

What tech stack do we have for you?

• Web JavaScript / TypeScript SDK: JavaScript, TypeScript, HTML/CSS, Mustache, Jest, Karma, Docker
• React Native Wrapper Mobile SDK (Android & iOS): React Native, JavaScript & TypeScript, CocoaPods, Yarn, npm, Babel, Jest
• Common Tech Stack: Software & Tools - Grafana, Sentry, GitHub, GitLab, Jira, Productboard

You will be developing new features and maintaining the codebase to ensure compatibility with different versions. Therefore, you should be passionate about new features in mobile technologies, and be keen to investigate how personalization may work in the context of today's privacy-focused digital world.

Both Web & Mobile SDKs are being integrated with internal APIs written in Golang & Python, which run on top of Kubernetes and Google Cloud. While these won’t be your primary focus, we highly value your involvement in other parts of the platform.

Your success story will be:

• In 30 Days: Successfully onboard, get familiar with Web JavaScript / TypeScript & React Native Mobile SDKs, and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional — Proven experience in web & mobile development, knowledge of wrappers, mobile ecosystem, system design, and maintenance.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in the area of web & mobile development, which is essential for building SDKs for web browsers and React Native mobile applications.
• Overview of technologies and programming languages used for wrapping mobile applications.
• Solid understanding of the mobile development ecosystem. An experience in building libraries or SDKs is an advantage. Familiarity with the build and publishing of mobile applications.
• Experience with dynamic rendering would be a valued asset.
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

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