Jobs

Responsibilities:

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• Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
• Conduct research and experiments to push the boundaries of LLM capabilities and performance
• Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
• Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
• Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
• Stay current with the latest advancements in LLMs, NLP and machine learning research
• Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

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• MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
• 4+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
• Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
• Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
• Experience training and fine-tuning large language models
• Proficiency in model deployment, optimization, scaling and serving
• Excellent problem-solving, analytical and quantitative abilities
• Strong communication skills to present technical information clearly
• Ability to work collaboratively in a team environment
• Fluency in Ukrainian and English

Preferred:

• Research experience in LLMs, NLP, machine learning
• Experience working with multi-modal data (text, image, audio)
• Knowledge of cloud platforms like AWS, GCP for model training
• Understanding of MLOps and production ML workflows
• Background in information retrieval, knowledge graphs, reasoning

Job Description

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills
• Upper-Intermediate English (spoken and written)

Job Responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Role Summary
You will play the role of a semantic architect behind our AI‑powered Knowledge Graph supporting flavor and beverage innovation. This role is responsible for designing ontologies, SHACL validation frameworks, and YARRRML mapping rules that enable structured, high‑quality, machine‑interpretable R&D knowledge. Working closely with flavor scientists, product developers, data engineers, and AI teams, the Ontologist will translate complex scientific concepts into formal knowledge models, maintain consistent terminology and synonyms across domains, and ensure that all R&D data can be integrated, reasoned over, and leveraged for advanced discovery and formulation insights. This position is central to accelerating innovation, improving knowledge reuse, and enabling next‑generation intelligent tools for the R&D organization.

Key Responsibilities

1.Ontology Design & Semantic Modeling
Work with business stakeholders to identify and maintain a set of competency questions that the ontology must support.
Design, extend, and maintain ontologies covering ingredients, flavors, sensory attributes, formulations, human trials, regulatory concepts, and experimental processes.
Perform conceptual modeling with domain experts and translate concepts into formal RDF/OWL semantics.
2. SHACL Constraint and Validation Framework
Develop and maintain SHACL shapes to enforce data quality, structural validity, consistency rules, and business constraints across the Knowledge Graph.
Collaborate with data engineers to validate incoming data streams using SHACL rules and produce validation reports.
3. YARRRML & Semantic Mapping Design
Design and maintain YARRRML mapping rules to transform heterogeneous R&D datasets into RDF/Knowledge Graph structures.
Work with data engineering teams to operationalize RML/YARRRML pipelines within ingestion workflows.
4. Knowledge Graph Integration & Reasoning
Collaborate with the development team to integrate ontologies into reasoning engines, entity extraction workflows, and semantic search pipelines.
Support entity alignment, relationship modeling, and enrichment algorithms that drive flavor discovery.
5. Synonym, Terminology & Vocabulary Management
Build and maintain synonym dictionaries, alternative labels, multilingual terms, and context-specific vocabulary used by flavorists and product developers.
Ensure synonym management is consistently reflected across ontologies, SHACL shapes, and mapping rules.
Facilitate terminology alignment workshops with subject matter experts.
6. Governance, Versioning & Documentation
Establish and maintain ontology governance including version control, documentation, and change-management workflows.
Maintain high-quality documentation, competency questions, term definitions, and modeling rationales.
Required Qualification

Proven experience with RDF, RDFS, OWL, and SPARQL.
Hands-on work with ontology editors (e.g., Protégé, TopBraid Composer).
Strong understanding of SHACL, RML/YARRRML, or equivalent mapping frameworks.
Experience in semantic modeling and conceptual data design.
Experience in food science, chemistry, sensory science, or CPG R&D domains.

Preferred Qualifications

Degree in Knowledge Engineering, Information Science, Semantic Technologies, Computational Linguistics, or related fields.
Knowledge of industry ontologies or semantic standards (e.g., SKOS, SAREF, DOLCE, IOF).
Familiarity with graph databases (e.g., Neo4j, GraphDB, Stardog) and knowledge-graph architectures.

Delasport is an iGaming Software company providing Sports Betting & Online Casino software, and turnkey B2B solutions. Established in 2010, Delasport delivers a one-stop-shop solution of Sports Betting and Online Casino from a White-Label, with a full range of management services to a Plug&Play iFrame and a complete Turnkey. We are establishing an R&D centre in Kyiv, and are looking for top talents to join our team.

As a Senior PHP Engineer, you will dive into the complex but rewarding world of Sports and Online gaming, integrations, real-time calculation, scrapping data, and reporting, all at a massive scale.

TECHNOLOGY STACK: PHP 8, Symfony 6, Node.js, API REST, MongoDB, MySQL, Kafka, Docker, Kubernetes

RESPONSIBILITIES

• Participate in the design and decision-making of technical solution implementation
• Troubleshoot, analyze, provide workarounds and resolve various software problems
• Mentor and train new team members

REQUIREMENTS

• 5+ years experience in web application development
• Advanced architecture understanding both on theoretical and practical levels
• Deep knowledge of PHP programming
• Working experience with the Symfony framework
• Knowledge of the entire web stack and how each part impacts performance and reliability
• Exhaustive knowledge of database design and implementation
• Design and business insight
• Commitment to quality, performance, continuous improvement, and efficiency
• Analytical mindset and good problem-solving skills
• Experience in taking ownership
• Upper-intermediate level of English

NICE TO HAVE

• Gaming and sports industry experience
• NodeJS, Redis
• Experience in web application security and performance tune-up
• ELK, Kibana

WHAT WE CAN OFFER YOU

• Modern office in Podil with an uninterruptible power supply and the Internet
• Personal time off (21 business days of paid vacation, paid days on special occasions, sick leaves, emergency days off)
• Public holidays
• Health and life insurance with our broker, available starting from the month following the employee’s start date with the company
• Modern technical equipment
• English courses with native speakers
• Ukraine-based educational programs
• Sports activities reimbursement
• Corporate entertainments
• Happy hours on Fridays
• Gig contract support

We are looking for an QA Engineer (Manual + Automation) to join our team and help build and maintain modern education-focused digital products.

Requirements

• 3 years of QA experience (manual + automation)
• Hands-on Playwright + TypeScript experience; ability to write reliable automated tests
• Understanding of test automation patterns (POM or similar)
• Experience with CI/CD test execution
• Good Git knowledge (branches, PRs, basic code review); experience with Azure DevOps/GitHub/GitLab
• Basic familiarity with Angular or other modern front-end frameworks
• API testing experience; basic SQL and Linux command line knowledge
• Understanding of web technologies (HTTP, REST APIs, browser dev tools)
• English level B2 (Upper-Intermediate) or higher
  
  Responsibilities
• Perform manual testing (exploratory, regression), design test cases and checklists
• Analyze requirements, identify edge cases, investigate issues, and report defects clearly
• Develop and maintain automated tests in an existing framework (Playwright + TypeScript)
• Ensure tests are stable and maintainable (Page Object Model or similar patterns)
• Run and support automated tests in CI/CD pipelines; participate in Agile/Scrum ceremonies
• Test APIs using Postman (or similar) and validate data using basic SQL when needed
• Use AI tools to support QA and test automation tasks where applicable

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a DevOps Engineer to join our team!

Requirements:

- 3–4+ years of hands-on experience in information security, with a strong focus on network and cloud security.
 - Deep understanding of networking fundamentals: TCP/IP stack, routing (BGP/OSPF), VLANs, VPNs (IPsec, WireGuard, OpenVPN), firewalls (NGFW, IPS/IDS).
 - Proven experience with multi-cloud environments: AWS (VPC, Security Groups, NACLs, Network Firewall), GCP (VPC, Cloud Armor), OpenStack (Neutron networking, security groups).
 - Hands-on experience configuring and managing WAF solutions (Cloudflare WAF preferred: rule sets, whitelists/blacklists, rate limiting, bot mitigation, custom rules).
 - Knowledge of zero-trust principles, network micro-segmentation, and common network-level attacks (DDoS, MITM, ARP/DNS spoofing).
 - Strong Linux administration skills + scripting (Bash/Python) for operational tasks.
 - Experience with SIEM/log management tools (ELK Stack, Splunk, QRadar) for traffic/log analysis and event correlation.
Basic experience with Infrastructure as Code (Terraform) for provisioning secure cloud resources.

Will be plus:

- Hands-on experience securing Kubernetes clusters (EKS on AWS, GKE on GCP, or OpenStack-based Kubernetes): network policies, RBAC, secrets management, ingress security.
 - Deep expertise with Cloudflare (WAF, Zero Trust, Access, Workers) or similar (AWS WAF, GCP Cloud Armor, Akamai).
 - Relevant certifications: AWS Certified Security – Specialty, Google Professional Cloud Security Engineer, CCNP Security, CISSP, PCNSE.
 - Experience automating security tasks (Ansible for configuration management, Terraform modules for secure networking).
 - Familiarity with DevSecOps tools (Checkov for Terraform scanning, Trivy for containers, GitLab Security).
 - Prior work with OpenStack security components (Keystone, Barbican, Neutron extensions).

Soft Skills:

- Strong analytical thinking and ability to investigate complex incidents.
- High attention to detail (especially when tuning WAF rules, reviewing Terraform plans, or auditing cluster configs).
- Excellent communication skills — ability to explain technical concepts to non-technical stakeholders (developers, managers).
- Proactive mindset: identify risks in cloud/network setups and propose practical solutions.
- Comfortable with on-call rotations and handling operational incidents outside regular hours.

Responsibilities:
 - Design, implement, and maintain secure network and cloud architecture across AWS, GCP, and OpenStack.
 - Configure, tune, and monitor security tools: firewalls, WAF (especially Cloudflare — managing whitelists, rules, alerts), IPS/IDS.
 - Perform operational security tasks: traffic monitoring, anomaly detection, incident response, and network forensics.
 - Automate security configurations using IaC (Terraform for cloud resources and security policies; Ansible where applicable).
 - Secure and audit Kubernetes clusters (EKS/GKE): implement network policies, harden configurations, manage secrets.
 - Conduct regular audits of configurations (WAF whitelists, open ports, cloud security groups, OpenStack misconfigurations).
 - Review and audit Terraform code/modules for security best practices and compliance.
 - Collaborate with infrastructure, Dev, and platform teams to embed security into operations.
 - Develop and enforce zero-trust policies and network segmentation in multi-cloud environments.

Technical Stack:

 - Clouds: AWS (VPC, EKS, WAF, GuardDuty), GCP (VPC, GKE, Cloud Armor), OpenStack (Neutron, Magnum for Kubernetes).
 - Network/Security Tools: Cloudflare (WAF, Zero Trust), Palo Alto, Fortinet, Suricata, Zeek, Wireshark, tcpdump.
 - WAF & Protection: Cloudflare rule management (whitelists, rate limiting), AWS/GCP native WAF.
 - IaC & Automation: Terraform (AWS/GCP/OpenStack providers), Ansible.
 - Containers/Orchestration: Kubernetes (EKS/GKE), Helm, Cilium/Calico for advanced networking.
 - Monitoring & Logging: ELK Stack, Splunk, Prometheus/Grafana, NetFlow collectors.
 - Scripting: Python, Bash.

Our benefits to you:
☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

🗣Free internal English courses

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location

Data Science Lead

Full-time | Remote

About Us

ExpoPlatform is a UK-based product company that builds a SaaS platform for large-scale events, exhibitions, and online communities. We’re a distributed team — people work from the UK, Ukraine, Poland, Brazil, Pakistan, and other locations — so communication is mostly in English, though some internal teams also use Ukrainian. The platform itself is mature, high-load, and cloud-native — fully hosted on AWS. We are expanding our AI and data science capabilities and looking for a strong Data Science Lead to drive this direction.

About the Role

We’re looking for a Data Science Lead with a strong background in Data Science, Leadership and Operations to join our team. In this role, you will lead and execute AI-driven initiatives, build scalable data solutions, and shape the data science strategy. You will collaborate closely with product, engineering, and business teams, taking ownership of the full ML lifecycle — from data preparation and experimentation to deployment, monitoring, and retraining — while ensuring data quality, governance, and responsible AI practices.

Responsibilities

• Lead and execute AI and data science initiatives, including recommendation systems, analytics solutions, and intelligent automation
• Define and shape data science strategy aligned with business and product goals
• Own the full ML lifecycle: data preparation, experimentation, deployment, monitoring, and retraining
• Build and maintain high-performance REST APIs and asynchronous services using FastAPI
• Design and maintain scalable cloud-native solutions on AWS
• Collaborate with Product, Engineering, and business stakeholders to translate data insights into business value
• Ensure data quality, governance, and responsible AI practices
• Contribute to architectural and infrastructure decisions.

Requirements

• 4+ years of hands-on experience in Data Science / Applied Machine Learning
• Strong Python expertise (Python 3.13 as primary language)
• Solid experience with Pandas, NumPy, Scikit-Learn
• Strong experience with FastAPI for high-performance REST API development
• Production experience with AWS services, including AWS Lambda and serverless infrastructure
• Strong experience with Terraform for Infrastructure as Code (IaC) and infrastructure provisioning
• Experience working with analytical databases (ClickHouse is a strong advantage)
• Strong SQL skills and experience with large-scale data processing
• Experience leading projects and working cross-functionally
• English — Upper-Intermediate or higher.

Nice to Have

• Experience with LLMs (OpenAI, Amazon Bedrock, Hugging Face)
• Experience with vector databases
• Experience building AI-driven search or chatbot systems
• Understanding of agile methodologies and end-to-end data science project management

Technology Stack

• Python 3.13
• FastAPI
• AWS (including AWS Lambda)
• ClickHouse
• Terraform

What We Offer

• The opportunity to architect and build scalable, cloud-native systems 
• Work with cutting-edge AI and data science technologies
• Career growth within an international and fast-scaling SaaS company
• Competitive salary and long-term financial stability

• Paid vacation, sick leave, and public holidays
• Semi-flexible working hours (Mon–Fri, 8 hours)
• Fully remote and distributed team environment
• Free English courses and education budget.

About the Role
We are expanding our embedded development team and looking for an engineer with strong experience in Buildroot, CMake, Linux kernel, and BSP-level development. Our projects cover a wide range of platforms — from Linux-based devices to Android AOSP and RTOS — including work with E-Ink displays and various peripheral hardware.
 
Responsibilities
• Integrate different SoCs at the system level of embedded operating systems.
• Port and adapt drivers to Linux OS, providing APIs for the application layer.
• Modify and maintain build systems (Buildroot, CMake).
• Configure and build Linux kernel and bootloaders.
• Debug low-level issues and ensure hardware–software integration.
• Collaborate closely with hardware and software teams.
• (Optional) Support RTOS-based MCU firmware.
 
Requirements
• Knowledge of C/C++ (Java is a plus).
• Experience with Buildroot, CMake (Kconfig is a plus).
• Understanding of the Linux kernel, multithreading principles, and init process.
• Proficiency with version control systems (Git, Mercurial).
• Ability to debug system-level and driver-related issues.
• Knowledge of TCP/IP stack.
• Understanding of interprocess communication (IPC) principles.
• Ability to read hardware documentation and schematics.
 
Nice to Have
• Experience in Linux driver development.
• Familiarity with hardware interfaces: I2C, SPI, UART, USB, Ethernet.
• Scripting skills in Python/Bash.
• Knowledge of Android AOSP/NDK.
• Experience with Wi-Fi, Bluetooth, Audio subsystems.
 
Soft Skills
• Strong problem-solving & attention to detail.
• Ownership and responsibility.
• Team player.
 
• Education & Language
Bachelor’s degree in Engineering or a related field.
English: Intermediate+.
 
 

Job Description

Primary Backend Skills:

• Framework: Deep expertise in the .NET 8 Framework, specifically for building Web APIs.
• API Development: Solid experience creating and managing endpoints using GraphQL for .NET.
• Data Access: Proficiency with Entity Framework for ORM.
• Testing: Skills in writing unit tests for backend services using XUnit.
• API Documentation: Experience using Swashbuckle to generate and maintain Swagger documentation.

Cloud & DevOps Experience:

• Platform: In-depth knowledge of the Azure platform is required.
• Containerization: Experience with Docker for creating and managing containerized applications. 
• Hands-on experience deploying microservices to Azure Container Apps.
• Understanding of hosting frontend applications on Azure Static Web App.
• Experience managing and interacting with Azure SQL Database.
• Experience with NoSQL databases, specifically Cosmos DB.
• Core Azure Services: Managing customer identity with Azure AD B2C, Using Application Insights for service monitoring, Experience with Azure API Management.

Preferred, Not Required Skills

• Familiarity with our modern frontend stack is a strong plus. This includes: Core Technologies: React, Typescript, and Material UI. State Management & Data: Redux toolkit and Apollo Client for GraphQL.
• Tooling: Experience with Vite as a build tool, Vitest for testing, and Zod for schema validation.
• Navigation: Understanding of React Router.
• Version Control: Proficiency with Git and GitHub.
• Collaboration: Experience working with Jira and Confluence.
• API Testing: Hands-on experience with Postman, particularly within a team workspace.
• Development Environment: Experience with development tools like Eslint, Prettify (Prettier), and Husky is beneficial. While the choice of IDE is flexible, experience with
• Visual Studio Code is preferred.

Job Responsibilities

Working in Scrum team and perform function of senior software developer doing software modules architecture, design, development, unit and integration testing and deployment.

Department/Project Description

Developting a cloud-based platform designed for managing latest generation of IoT devices.

The core part of the system provides a centralized location for remotely monitoring, upgrading, and configuring devices. It also offers an application marketplace, allowing users to deploy and customize applications for their devices.

At the moment it is extensively extending with services that deal with telemetry provided by the connected devices and services. These services are designed in two forms. First is the predefined set of data connectors and visualisation widgets, and the second is a framework that let customers to design own connectors and widgets.

Skill Category

.NET

Keyskills - Must Have

• .NET
• Azure
• GraphQL
• Entity Framework
• xUnit
• MS SQL Server

Job Description

Required Hard Skills (The "Must-Haves")

Expert C/C++: 3+ years of experience in strictly kernel-mode software development.

WinDbg Mastery: Ability to perform "post-mortem" debugging without symbols for third-party conflicts, and live kernel debugging using VMWare/Hyper-V/KDNET. You must be comfortable analyzing stack traces, register states, and trap frames.

Windows Internal Knowledge: Deep understanding of:

IRQLs (Interrupt Request Levels) and DPC/Dispatcher mechanics.

Memory Management (Paged vs. Non-Paged pool, MDLs).

Synchronization primitives (Spinlocks, Mutexes, Pushlocks).

File System Filters: Proven experience with the Filter Manager Model (FltMgr) and Minifilter drivers (FltRegisterFilter, Pre/Post operation callbacks).

EDR/Security Driver Experience: Familiarity with:

ObCallbacks (ObRegisterCallbacks).

Process/Thread/Image Load Notify routines (PsSetCreateProcessNotifyRoutineEx, etc.).

Avoiding deadlocks when injecting logic into high-frequency system paths.

Preferred Skills (The "Nice-to-Haves")
Reverse Engineering: Proficiency with IDA Pro or Ghidra to analyze potential conflicts with third-party drivers (e.g., Antivirus conflicts causing the crash).

x64 Assembly: Ability to read disassembly to pinpoint the exact instruction causing the fault when source lines are ambiguous.

WHQL/WHCP: Experience with the Windows Hardware Compatibility Program signing process (in case the fix requires re-certification).

Job Responsibilities

Key Responsibilities
Crash Dump Analysis: Perform deep-dive analysis of kernel memory dumps (Minidumps and Complete Memory Dumps) to identify the root cause of the crash (e.g., race conditions, stack overflows, invalid memory access, IRQL violations).

Reproduction & Isolation: Design stress tests and verification procedures to reliably reproduce the BSOD in a controlled environment using tools like Driver Verifier and specific load-testing scripts.

Code Review & Remediation: Audit the existing C/C++ driver code (specifically Minifilter callbacks and process notification routines) for thread safety, proper lock usage (Spinlocks/ERESOURCE), and memory handling.

Patch Implementation: Implement robust fixes for the identified issues, ensuring zero regression in driver performance or security efficacy.

Validation: Verify fixes using Microsoft Driver Verifier and HLK (Hardware Lab Kit) basics to ensure stability under high stress.

Department/Project Description

We are an endpoint security company looking for an expert-level Windows Kernel Driver Specialist to assist our engineering team in resolving a critical stability issue. Our Endpoint Detection and Response (EDR) agent is currently experiencing sporadic Blue Screen of Death (BSOD) crashes in the field.

We need an experienced debugger - someone who lives in WinDbg, understands the Windows Memory Manager inside out, and has specific experience improving the stability of file system minifilters and callback-heavy security drivers.

Skill Category

C++

Keyskills - Must Have

• C
• C++
• Kernel
• VM Ware
• Hyper-V
• Windows Programming

About the Project
Our client is a fast-growing AdTech company developing digital advertising solutions for the streaming ecosystem.

The company has built proprietary technology that integrates via API with leading platforms such as Twitch, enabling interactive ad formats directly within live streams. The solution increases audience engagement and creates new monetization opportunities for advertisers and streamers.

As part of its expansion, the company is looking for a Sales Manager to drive client acquisition, build partnerships, and support revenue growth in key markets.

Responsibilities

• Actively search for and acquire new B2B advertisers;
• Work with brands and agencies in the iGaming industry;
• Build and manage your own sales pipeline;
• Conduct negotiations and close deals;
• Develop partnerships with streamers and platforms;
• Contribute to sales strategy and market expansion.

Requirements

• Proven B2B sales experience in iGaming (AdTech experience is a strong advantage);
• Experience in active client acquisition (New Business);
• Ability to independently build and manage a sales funnel;
• Strong negotiation and closing skills;
• Understanding of advertising models (CPA, RevShare, CPM is a plus);
• Working-level English.

We Offer

• Fully remote work (no trackers);
• Flexible working format;
• Opportunity to influence product development;
• Direct communication with founders;
• Competitive compensation (base + bonus, discussed individually)
• Long-term collaboration.

Company

Zoot is a global provider of cloud-based instant credit decisioning, risk management, loan origination, workflow and case management solutions. For more than 30 years our innovative tools and services have enabled Zoot clients – leading banks, payment service providers, automobile and asset finance companies – to meet and exceed their business objectives. Zoot enables their clients to adapt faster than their peers to successfully seize market opportunities. Zoot’s clients benefit from unrivalled reliability via a highly scalable private cloud-based service that processes billions of real-time decisions annually.
Over the past 15 years, Zoot has achieved remarkable growth in Europe, establishing offices across Switzerland, Germany, the United Kingdom, and Ukraine, while building a team of over 50 exceptionally talented individuals.

Responsibilities

• Administer and support high-availability geographically distributed InnoDB MySQL real-time cluster processing millions of queries each day.
• Continuously optimise DBMS setup and configuration to support growing data volumes while ensuring maximum stability and availability.
• Consult solution developers when implementing sophisticated database access layers for the application servers: including fine tuning database structures, indexes, clustering, etc.
• Develop, optimise and run database scripts to support ad-hoc requests.
• Monitor health of all database instances; report and create regular reports on database cluster and databases state.
• Serve as a subject matter expert during troubleshooting incidents.
• Manage and maintain MySQL clusters for test environments.
• Experience with setup, administration and maintenance of No-SQL database systems.
• Oversee procurement and renewal of software, licenses, and support services.
• Execute maintenance activities for all database clusters during dedicated maintenance windows.

Profile

• University degree in Computer Science or relevant technical field, or equivalent practical experience.
• Strong desire and ability to learn, grow, and continuously improve.
• Hands-on experience with setup, configuration, maintenance and troubleshooting of MySQL databases (and InnoDB in particular). Experience with No-SQL databases is beneficial.
• Practical experience working with Linux servers – preferably Oracle Linux.
• Experience with collaboration and documentation tools: MS Office, Confluence and ticketing systems like JIRA.
• Accurate and analytical working style with high attention to detail.
• Basic understanding of data protection and data security best practices.
• Upper-intermediate English.

Zoot Offers

• Competitive salary and a high-quality working environment.
• Know-how, professionalism, and an international market-leading reputation.
• Interesting and challenging international clients and projects.
• Highly motivated, highly qualified team of friendly colleagues.
• Flexible working schedule.
• Financial support for relevant certifications and professional events.

We are looking for a Senior Data Scientist to help build data-driven products that significantly improve customer experience on a large-scale betting platform. You will work on high-impact machine learning models, take full ownership from research to production, and directly influence product and business decisions. This role goes beyond modeling – you will deploy models into production, run experiments, monitor results, and partner closely with product and business teams.

You will work on models and systems such as:

• Churn, retention and LTV prediction;
• Risk scoring, fraud and responsible gambling models;
• Personalization and recommendation systems;
• Uplift and causal models to drive product decision;
• Real-time ML systems powering user experience;

• Experimentation frameworks and A/B testing.

   

What you’ll be doing:

• Design, train and productionize machine learning models for product, risk and personalization use cases;
• Own models end-to-end: data exploration, feature engineering, modeling, deployment and monitoring;
• Design and analyze A/B tests to measure the real business impact of models and product changes;
• Collaborate closely with product managers, engineers and analysts to translate business problems into ML solutions;
•  Monitor model performance, data quality, drift and key business metrics after deployment;

• Communicate insights and recommendations to business and product stakeholders.

   

What we’re looking for:

• 4+ years of experience as a Data Scientist or in a similar applied ML role;
• Strong hands-on experience with Python and SQL;
• Proven experience building and deploying ML models in production;
• Experience with churn, LTV, behavioral or risk-related models;
• Solid understanding of statistics, experimentation and A/B testing;
• Ability to clearly explain technical results to non-technical stakeholders.

Nice to have:

• Experience in gaming, fintech or other high-scale consumer products;
• Experience with recommendation systems or risk/fraud models;
• Familiarity with cloud environments and basic MLOps practices;
• Experience working with real-time or near real-time ML systems.

Who We Are:

We are DATA.BET, a product IT company that develops comprehensive technological solutions for sports, esports, and virtual sports betting in a single sportsbook.
Our key products - Odds Feed, AI-powered risk management system, and fast Single Page Application - help partners gain stable profits and a competitive advantage.
Our team consists of more than 250 professionals. 

Hi! We're building a dedicated AI division — creating both internal tooling and customer-facing AI products. Startup energy, backed by our established 20+ year tech company. New York and Krakow hubs, horizontal structure, direct impact.

What You'll Do

- Build AI-powered tools for internal teams and external customers
- Work directly with LLMs: prompt engineering, evaluation, quality measurement
- Design multi-model solutions — choosing the right model for the right task
- Create APIs, frameworks, and infrastructure that make AI reliable in production
- Measure and improve AI output quality using evaluation frameworks and human feedback

 What We're Looking For

Must have:

- You understand how LLMs behave — not just how to call their APIs
 (You can explain why a model hallucinates and what to do about it)
- Hands-on experience with multiple model families
 (Claude, GPT, Gemini, DeepSeek, open-source — at least 2-3)
- You've measured AI output quality in production
 (Evaluation frameworks, LLM-as-judge, human validation — any approach counts)
- Prompt engineering as a craft, not a buzzword
 (You iterate, test, and know why your prompts work)
- Backend development experience (Python preferred, any language accepted)
- 2+ years professional software development

Signs you're a great fit:

- You know the difference between GPT-4o, Claude Sonnet, and Gemini Flash
 — and when to use which
- You've built something with AI that solves a real problem (not just a tutorial)
- You've improved AI output quality and can tell us how you measured it
 

Nice to have (we'll teach the rest):

- Experience building developer tools or frameworks
- Multi-agent systems (LangGraph, CrewAI, AutoGen)
- Knowledge of evaluation tooling (LangSmith, Ragas, DeepEval, custom solutions)
- Background in Java or high-performance systems