Jobs Kharkiv

Position overview

We are seeking a highly skilled AI & ML Engineer to join our innovative team. In this role, you will lead the development, optimization, and deployment of advanced machine learning and artificial intelligence models. You will drive state-of-the-art research, build scalable pipelines, and collaborate with cross-functional teams to translate business needs into effective ML solutions.

This position offers the opportunity to work on cutting-edge technologies in a dynamic, fast-paced environment, contributing to impactful projects that power next-generation AI applications.

Responsibilities

• Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning.
• Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency.
• Develop robust, scalable ML pipelines for training, validation, and inference.
• Deploy ML models into production environments (cloud or on-prem), ensuring high reliability, low latency, and scalability.
• Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management.
• Partner with data engineering teams to source, clean, and transform large datasets for model training and inference.
• Ensure high data quality, perform feature engineering, and support real-time data integration processes.
• Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
• Clearly communicate complex technical results to both technical and non-technical stakeholders.
• Provide technical guidance and mentorship to junior ML engineers and data scientists.
• Contribute to establishing team best practices, code reviews, and architectural decisions.

Requirements

• 5+ years of professional experience in machine learning, AI engineering, or related fields.
• Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred.
• Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong understanding of algorithms, statistics, probability, and linear algebra.
• Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue).
• Practical experience with cloud platforms, preferably AWS.
• Solid software engineering fundamentals including version control (Git), testing, and design patterns.
• Demonstrated success in deploying ML models into production at scale.
• Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work autonomously and collaboratively within a fast-paced, cross-functional team environment.

Nice to have

• Experience with agentic frameworks like LangChain or LangGraph

Client

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

Position overview

We are seeking an experienced Senior Data Scientist with deep expertise in Generative AI implementations. This role is designed for seasoned data science professionals who have successfully transitioned their expertise into production GenAI environments - not for those simply exploring AI technologies.

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem
Vector databases and advanced RAG architectures
Enterprise-scale data processing and real-time model deployment systems
Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and implement data architectures for GenAI solutions across structured, semi-structured, and unstructured data sources
• Extract, prepare, and optimize data for consumption into AI platforms from data lakes and direct model ingestion
• Structure diverse data sources for proper ingestion into AI workflows and model training
• Develop and manage automated data streams and pipeline orchestration
• Collaborate with MLOps engineers to ensure seamless data flow for model training and inference
• Implement data quality monitoring and validation frameworks for GenAI applications
• Design feature engineering strategies specifically for Foundation Models and LLM implementations
• Scale proof-of-concepts to production-ready, enterprise-grade data solutions

Requirements

• Hands-on experience with diverse data sources (structured, semi-structured, unstructured) for AI platform integration
• Proven ability to extract, prepare, and structure data for consumption into AI platforms from data lakes or direct model ingestion
• Experience structuring various data sources for proper ingestion into AI workflows and Foundation Model training
• Advanced knowledge of automated data stream management and pipeline orchestration for AI/ML workloads
• Demonstrated experience building scalable data infrastructure supporting GenAI applications in production environments
• Strong background in AWS data services (S3, Glue, Kinesis, etc.) and integration with AI/ML platforms
• Advanced Python, SQL, and experience with big data technologies (Spark, Kafka, etc.)
• Proven track record of transitioning POCs to production-ready, enterprise-scale data solutions
• 5+ years data science experience with 2+ years dedicated GenAI data engineering and preparation experience
• Availability during US Eastern Time (ET) business hours to collaborate with onsite team

Nice to have

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related technical field (Master's preferred)
• AWS certifications (Data Analytics, Machine Learning Specialty, etc.)
• Experience with financial services or payment processing data systems
• Knowledge of data governance and compliance frameworks in regulated industries

Client

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

Position overview

We are seeking an experienced Senior MLOps Engineers with deep expertise in Generative AI implementations. This role is designed for seasoned ML engineering professionals who have successfully transitioned their expertise into production GenAI environments - not for those simply exploring AI technologies.

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem
Vector databases and advanced RAG architectures
Enterprise-scale data processing and real-time model deployment systems
Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and implement robust MLOps pipelines for GenAI solutions using AWS Bedrock platform
• Lead the selection, training, and fine-tuning of Foundation Models (FM) and Large Language Models (LLM) for specific business use cases
• Architect and deploy RAG (Retrieval-Augmented Generation) systems with vector databases
• Develop and optimize prompt engineering strategies for production environments
• Integrate AI-powered chatbots and conversational interfaces into existing business workflows
• Implement comprehensive automation frameworks across the AI/ML lifecycle
• Manage diverse data sources and ensure optimal data preparation for AI platform consumption
• Scale proof-of-concepts to production-ready, enterprise-grade solutions

Requirements

• Hands-on, production-level experience with implementation and management
• Proven experience selecting, training, and fine-tuning Foundation Models (FM) or Large Language Models (LLM) for specific business use cases
• Deep hands-on knowledge of Retrieval-Augmented Generation implementation and vector database management
• Advanced skills in designing and optimizing prompt engineering strategies for production AI applications
• Demonstrated experience integrating and deploying chatbots within business workflows and implementing AI automation frameworks
• Expert understanding of diverse data types (structured, semi-structured, unstructured) and their utilization within AI platforms
• Proven track record of transitioning POCs to production-ready, enterprise-scale solutions
• Strong AWS cloud services background and advanced Python skills with ML frameworks (TensorFlow, PyTorch, etc.)
• ML engineering/MLOps experience with 2+ years dedicated GenAI production experience
• To collaborate with onsite team during US Eastern Time (ET) business hours

Nice to have

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field (Master's preferred)
• AWS certifications (Machine Learning Specialty, Solutions Architect, etc.)
• Experience with financial services or payment processing systems

Client

Our client revolutionizes the retail direct store delivery model by addressing key challenges like communication gaps, out-of-stocks, invoicing errors, and price inconsistencies to boost sales, profits, and customer loyalty with innovative technology and partnerships.

Position overview

We are seeking an experienced Data Modeler to lead logical and physical data modeling efforts across Raw, Conformed, and CDM layers within a medallion architecture. The ideal candidate will design dimensional (star/snowflake) and 3NF schemas where appropriate, implement and enforce modeling standards (naming conventions, data types, SCD strategies), and maintain thorough documentation using SqlDBM or equivalent tools.

Responsibilities

• Lead logical and physical data modeling across Raw, Conformed, and CDM layers following medallion architecture
• Design dimensional (star/snowflake) and 3NF schemas where appropriate
• Implement and enforce modeling standards, including naming conventions, data types, and SCD strategies
• Document models and processes using SqlDBM or equivalent tools
• Translate business requirements into canonical data models and source-to-target mappings
• Collaborate closely with engineers and analysts to ensure alignment and accuracy
• Design and optimize Snowflake schemas focusing on DDL, micro-partitions, clustering, RBAC, and cost-efficient patterns
• Manage Postgres schema design, perform tuning, and optimize queries
• Review and refactor PL/pgSQL code (bonus)
• Maintain strong data governance practices including version control, peer reviews, and data lineage tracking

Requirements

• Proven expertise in data modeling across multiple layers of medallion architecture
• Strong understanding of data modeling concepts (OLTP, Star Schema, Medallion architecture)
• Strong experience with dimensional modeling (star/snowflake) and 3NF design
• Skilled in Snowflake schema design, performance tuning, and security best practices
• Experience with Postgres schema design and query optimization
• Familiarity with data governance standards and tools
• Proficiency with SqlDBM/ERwin or equivalent modeling/documentation platforms

Client

Our client is a hedge fund sponsor that mainly manages pooled investment vehicles and typically invests in fixed income, private equity, rates, credit, and foreign exchange. The company operates offices in London, New York, and Hong Kong.

Join a great company, not merely an individual project

Position overview

We are seeking an experienced Senior Data Engineer with 7+ years in asset management or financial services to join our team. The ideal candidate will have expertise handling diverse datasets via batch files, APIs, and streaming from both internal and external sources.

Responsibilities

• Onboard new datasets and develop data models using Snowflake and DBT
• Build and maintain data transformation pipelines
• Design and manage data orchestration and ETL workflows with Azure Data Factory
• Optimize queries and apply data warehousing best practices for large and complex datasets
• Collaborate with development teams using agile methodologies, DevOps, Git, and CI/CD pipelines
• Support cloud-based services, especially Azure Functions, KeyVault, and LogicApps
• Optionally develop APIs to serve data to internal or external stakeholders
   

Requirements

• 7+ years as a Data Engineer in asset management or financial services
• Expertise in Snowflake, DBT, and data pipeline orchestration tools (Azure Data Factory)
• Strong knowledge of SQL, Python, data modeling, and warehousing principles
• Familiarity with DevOps practices including CI/CD and version control (Git)
• Experience with Azure cloud services
   

Nice to have

• Industry knowledge of Security Master, IBOR, and Portfolio Management

Position overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are looking for a Senior Machine Learning Engineer to design, develop, and deploy advanced ML models focused on betting position forecasting, real-time analytics, and anomaly detection. The ideal candidate will have strong expertise in time series forecasting, predictive modeling, and scalable production deployment. You will work closely with cross-functional teams to integrate machine learning solutions that drive data-driven decision-making in a fast-paced betting environment, ensuring high model accuracy and reliability.

Responsibilities

• Design and develop machine learning models for betting position forecasting and recommendation systems
• Build and deploy predictive analytics solutions delivering real-time betting insights
• Implement anomaly detection systems to identify unusual betting patterns and potential risks
• Develop pattern recognition algorithms for market trend analysis and user behavior prediction
• Ensure scalable, reliable deployment of ML models within production betting environments
• Monitor, evaluate, and optimize model performance and accuracy continuously
• Collaborate closely with development teams to integrate ML solutions into betting platforms

Requirements

• Strong proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Proven experience in time series forecasting, predictive modeling, and anomaly detection
• Solid grasp of statistical analysis and probability theory relevant to betting/gaming contexts
• Hands-on experience deploying ML models in real-time production environments
• Expertise in data preprocessing, feature engineering, and model validation techniques
• Familiarity with ML Ops best practices including model monitoring and versioning

Nice to have

• Experience with Azure ML or similar cloud ML platforms
• Knowledge of databases, data pipelines, and data engineering fundamentals
• Understanding of A/B testing and experimentation frameworks
• Experience with containerization tools like Docker and CI/CD pipelines

Position overview

We are seeking an AI Engineer with a strong software engineering background, proficient in Python and modern cloud-native technologies. The ideal candidate has hands-on experience with Snowflake, BigQuery, or AWS data platforms and solid expertise in data engineering, including ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, and medallion architecture and design.

Experience with machine learning best practices such as model training, evaluation, and weighting is essential.

Responsibilities

• Design, develop, and deploy scalable AI and machine learning models.
• Build and maintain data pipelines and ETL processes using Spark, Spark Streaming, and related tools.
• Ensure high data quality and implement medallion architecture design principles.
• Collaborate with data scientists, engineers, and product teams to translate requirements into technical solutions.
• Implement best practices for model training, evaluation, and performance tuning.
• Develop, integrate, and maintain AI agents and conversational AI solutions where applicable.

Requirements

• Strong software engineering skills (Python, cloud-native stacks)
• Hands-on experience with Snowflake, BigQuery, or AWS data platforms
• Solid data engineering experience (ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, medallion architecture)
• Knowledge of machine learning best practices (model training, evaluation, weighting)

Nice to have

• Experience building AI agents (Langchain, Langgraph, OpenAI Agents, PydanticAI)
• Experience building conversational AI agents (AI chats, Evaluation-Driven Development)

Are you a strategic, results-driven sales leader passionate about growing technology businesses?

We’re looking for a Business Development Lead to drive revenue growth across custom software development, dedicated teams, and staff augmentation services. You’ll be responsible for defining and executing the sales strategy, building a scalable lead pipeline, and driving revenue growth through strategic partnerships and direct client engagement. The role combines hands-on sales execution with leadership  - mentoring an SDR, marketing, and sales team while ensuring process alignment and measurable KPIs.

Performance Indicators (KPIs):

• Qualified leads generated per quarter and pipeline value growth.
• Conversion rate from opportunities to proposals and closed deals.
• Revenue from new clients and gross margin per engagement.
• Average deal size and sales cycle duration improvements.
• Client retention rate and satisfaction scores across closed accounts.

Key Responsibilities:

• Lead generation and pipeline development (planning and running targeted lead generation campaigns across LinkedIn, email outreach, partnerships, and events; identifying and qualifying opportunities aligned with company services; maintaining a healthy CRM pipeline and ensuring consistent follow-up through all sales stages).
• Sales strategy and execution (building and executing scalable sales and business development plans to achieve quarterly and annual revenue goals; defining target markets, outreach priorities, and unique value propositions; managing the full sales cycle from discovery to proposal, negotiation, and closing).
• Client engagement and account growth (developing long-term relationships with decision-makers such as CFOs, CTOs, and Founders; identifying opportunities for upselling, cross-selling, and account expansion; collaborating with delivery and marketing to ensure seamless onboarding and high client satisfaction).
• Market Expansion and Partnerships (researching and developing new markets across North America, Western Europe, and GCC; building strategic alliances with technology vendors, consulting firms, and referral partners; representing the company at industry events and conferences to strengthen brand visibility).
• Team Leadership and Collaboration (building and mentoring a small, results-oriented commercial team - SDR, marketing specialist, and sales; setting clear KPIs and overseeing performance tracking; aligning sales, marketing, and delivery operations to foster a data-driven, growth-focused culture).

Requirements: 

Experience:

• 7+ years of progressive experience in B2B business development or sales within the IT services / software development industry.
• Proven record of success in selling custom development projects, dedicated teams, or staff augmentation models.
• Experience managing multi-stakeholder deals and working with executive-level decision-makers.
• Technical or software development background is a strong plus.

Knowledge and Skills:

• Deep understanding of IT outsourcing models, software delivery lifecycles (SDLC), and modern technology stacks.
• Ability to translate technical solutions into measurable business value propositions.
• Excellent communication, presentation, and negotiation skills with a consultative selling approach.
• Hands-on expertise with CRM systems (HubSpot, Salesforce, or similar) and data-driven sales tracking.
• Strategic thinker with a practical execution mindset.

Languages:

• Fluent English (C1+).
• Additional languages are an advantage.

👨‍💻We invite a Junior/Middle Java Developer to join our team for long-term cooperation.  
 
Gransoft develop an international health insurance portal.  
 
Our project has become especially important at this time.  
 
 

▪️Office Location: Uzhhorod or Gdansk 

(our company provides a relocation assistance, expenses reimbursement and accommodation if required)  
 
 

Requirements:  
 
— Strong and confident knowledge of Java, Hibernate, Spring, MySQL

— Experience with any software development 1+ years 
 Experience with Java provides a significant advantage
 
— An intermediate-level proficiency in English: reading, writing and speaking 
 
— Responsible attitude to the tasks and deadlines  
 
— Work from office only  

We offer:  
 
— Interesting and challenging project
 
— Creative and friendly atmosphere 
 
— Our company policy is to welcome your ideas and suggestions 
 
— An international team of experienced Java developers  
 
— Paid vacations and days off during national holidays  
 
— Flexible work schedule  
 
— 8-hour workday  
 
— Office in Uzhhorod or Gdansk 
 
— Paid English language courses
 
— Our company provides a relocation assistance, expenses reimbursement and accommodation if required 
 
 

More details could be given during an interview  
 
Please include your Telegram username in CV

About Us
Uitop is a design & development team that helps B2B SaaS products feel simple, modern, and easy to use.
 

Job Summary
We’re looking for an organized and proactive Office manager/HR Assistant to support our HR team. It’s a great opportunity for someone who’s curious about the HR field, enjoys working with people, and wants to gain hands-on experience across people operations.
 

Responsibilities

• Take care of the office so that it feels comfortable, welcoming, and well-equipped for everyone on the team.
• Help prepare and coordinate online and offline events, from teambuildings to small celebrations that bring people together.
• Celebrate special moments with the team, prepare greetings, gifts.
• Keep track of company equipment (mostly laptops) and make sure everyone has what they need to work productively.
• Assist with creating branded merch, organizing corporate events, and arranging business trips (booking, logistics, coordination).
• Be someone the team can rely on, responsible, attentive, and proactive.
• Hybrid format, location Kharkiv.
   

What do you have

• You’re proactive, reliable, and eager to learn and grow in the office & event management field.
• You’re highly organized and attentive to details, you notice things that can make the team’s work easier and more efficient.
   

Nice to have
Previous experience in people-focused roles / HR / Office manager field, even if it’s an internship or small projects.
 

Benefits

• Vacation 18 paid days, and sick leave (10 paid days).
• Compensation for professional development activities: 50% covered after the trial period.
• Performance&Salary review constantly.
• Free Internal English classes.
• Employee support program (Discounts, Legal compensation).
• Financial compensation of coworking 100% (during blackouts).
• Company equipment. We’ll provide a laptop after 6 months of work, and if you’d like any other tech to make your job easier, we cover 50% of it.
• Flexible work schedule.

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

We are seeking an experienced Senior Cloud Infrastructure Architect with deep expertise in AI/ML infrastructure implementations. This role is designed for seasoned cloud architecture professionals who have successfully designed and deployed enterprise-scale AI environments - not for those simply exploring cloud technologies.

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem
Vector databases and advanced RAG architectures
Enterprise-scale data processing and real-time model deployment systems
Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and architect AI/ML environments using AWS Bedrock, SageMaker, and vector database infrastructure
• Implement enterprise-grade networking solutions for AI workloads and data processing pipelines
• Architect and deploy database and storage solutions optimized for GenAI applications
• Develop Infrastructure as Code (IaC) using Terraform and CloudFormation for AI platform deployment
• Design and implement serverless architectures supporting scalable AI/ML workflows
• Establish security best practices and compliance frameworks for AI infrastructure
• Optimize performance and tuning of AI environments for enterprise-scale operations
• Ensure high availability, disaster recovery, and scalability of AI platform infrastructure

Requirements

• Hands-on experience architecting and deploying AI environments using AWS Bedrock, SageMaker, and vector databases
• Advanced knowledge of cloud networking concepts, VPC design, and secure connectivity for AI workloads
• Proven experience with database and storage deployments optimized for AI/ML applications and large-scale data processing
• Deep understanding of security best practices and implementation in regulated financial services environments
• Proficiency in developing IaC solutions using Terraform and CloudFormation for AI platform automation
• Hands-on experience architecting and deploying serverless solutions supporting AI/ML workflows
• Demonstrated skills in performance tuning and optimization of cloud environments at enterprise scale
• Proven track record of designing and managing mission-critical AI infrastructure in production environments
• Minimum 7+ years cloud infrastructure experience with 3+ years dedicated AI/ML infrastructure architecture experience
• Availability during US Eastern Time (ET) business hours to collaborate with onsite team

Nice to have

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related technical field (Master's preferred)
• AWS certifications (Solutions Architect Professional, Security Specialty, etc.)
• Experience with financial services infrastructure and compliance requirements
• Knowledge of regulatory frameworks (PCI DSS, SOX, etc.) and their infrastructure implications

Working Time-zone

US/Canada (GMT-7)

We’re looking for a proactive and people-oriented General HR / Office Manager to help us keep things running smoothly, take care of the team, and contribute to HR initiatives within the company.

What you’ll do:

• Handle office operations and documentation.
• Support daily team needs and ensure smooth office functioning.
  Conduct onboarding sessions for new hires.
• Hold 1:1 meetings with employees to gather feedback and support engagement.
• Collaborate with the HR team on adaptation and communication processes.

• Help organize corporate events, team activities, and internal initiatives.
  Participate in improving internal processes and the company’s work culture.

   

Requirements:

• 1+ year of experience as an Office Manager or HR Assistant.
• Experience in onboarding or internal communications is a plus.
  Strong organizational and communication skills.
• Confident user of Microsoft Office, Google Workspace (Docs, Sheets, Forms, Calendar).
• Responsible, detail-oriented, self-motivated, and proactive.
• Understanding of IT company specifics will be an advantage.

We offer:

• Flexible working hours.
• Official employment.
• Paid internship and annual paid vacation.
• Free English lessons and professional training.
• Medical insurance.
• A supportive, friendly team and plenty of opportunities to grow within HR.

About Bitmedia Labs:
Bitmedia Labs - an international product IT company, has been in the industry since 2014, effectively functioning on a worldwide scale with a crew of 100+ ambitious and highly skilled professionals, creating successful projects in domains such as online advertising systems for the crypto space, blockchain games and NFT products.
 

Requirements:

• 2+ years experience as a System Administrator;
• Hands-on experience with centralized management systems for MacOS (Mac Server);
• Good knowledge of personal operational systems — Mac OS;
• Knowledge of protocols LDAP, SAML, OAuth;
• Strong experience with MacOS in a corporate environment;
• Ability to manage G Suite accounts and other corporate software;
• Familiarity with remote hardware setup and maintenance;
• Experience liaising with vendors and providing remote technical support;
• Ability to maintain accurate documentation and ensure compliance with legal requirements;
• English - Intermediate level or higher;
• Experience in developing remote work security policies and training programs.

Nice to have:

• Experience with SQL/NoSQL databases (accounts management);
• Experience with Docker, GitHub, and Ansible (user experience);
• Experience with password manager tools, like Passwarden;
• Experience with monitoring/alerting systems such as Prometheus, Grafana;
• Experience in network administration and ensuring stable remote connections;
• Familiarity with incident response and cybersecurity best practices.

Responsibilities:

• Oversee and manage remote access to corporate G Suite accounts and other team service accounts;
• Facilitate the setup, maintenance, and remote troubleshooting of company-managed laptops and hardware, with an emphasis on MacOS devices;
• Administer and monitor access to company databases, software, and other resources, implementing security protocols as needed;
• Ensure stable and secure remote connections, with expertise in VPNs and firewalls;
• Serve as the primary contact with vendors and provide remote technical support to employees;
• Comply with legal IT practices, maintain accurate documentation, and offer virtual training to employees;
• Collaborate remotely with various departments to understand their IT needs and provide tailored solutions;
• Develop and implement remote work security policies and train employees in best practices;
• Proactively monitor system health and security alerts, coordinating incident response efforts;
• Maintain records of access permissions, software subscriptions, and associated costs;
• Active cooperation with the DevOps team.

Hiring process:

• Intro call with a Recruiter - Test Task - Interview with the Hiring team - Сollection of recommendations - Offer.

We offer:

• Flexible work environment - you can work remotely anywhere or at our comfortable Hub in Kyiv;
• The 8-hours working day with a flexible schedule;
• Competitive salary based on your experience;
• Regular performance review and annual salary review;
• Paid sick leaves, vacation and holidays;
• Professional development tools (reimbursement of educational courses or workshops, conferences around the world);
• Ambitious team with a transparent communication and friendly atmosphere, no micromanagement;
• Apple equipment;
• Memorable gifts for holidays.

В команду для побудови системи аналітики та DWH групи компаній Епіцентр потрібен Системний аналітик

Задачі:

Збір та формалізація вимог до аналітичних даних, їх структури та специфіки використання. Узгодження вимог з зацікавленими сторонами.

Постановка і управління вимогами в Jira

Збір, вивчення та структурування вимог для побудови DWH

Контроль реалізації вимог розробниками

Документування сервісів (DHW, ETL, DataQuality, OLAP, BI, сервіси ERP системи, пов’язані з аналітикою та прогнозуванням) в Confluence

Збір інформації, опис та моделювання бізнес-процесів

Аналіз ефективності та розробка пропозицій з покращення процесів

Вимоги до кандидата:

Знання та навики використання JIRA+Confluence, BPMN, UML

Розуміння Scrum, Agile

Розуміння та досвід в роботі з БД корпоративного рівня

Досвід роботи, підтримки або розробки BI System

розуміння технології OLAP

Знання T-SQL на базовому рівні

Рівень володіння англійською мовою: Читання та розуміння технічної документації або вище.

Рівень володіння англійською мовою:

Читання та розуміння технічної документації або вище.

Умови праці:

80/20 офіс/віддалено (за бажанням) після закінчення випробувального терміну

Можливості зростання:

Компанія динамічно розвивається, що створює безліч можливостей для ініціативних співробітників

Вимоги:

Досвід роботи з 1С:Підприємство 8.x не менше 2 років.

Глибоке знання конфігурації ЗУП (Зарплата та управління персоналом, редакції 2.1). Бухгалтерія для Україні редакція 1.1/ 1.2. BAS проф

Розуміння кадрового та зарплатного обліку (від прийому на роботу до звільнення, розрахунки, податки, ПДФО, ЄСВ тощо).

Навички роботи зі звітом 1ДФ, ЄСВ, відпустками, лікарняними, преміями, графіками роботи.

Досвід оновлення та адаптації конфігурацій під потреби підприємства.

Володіння мовою запитів 1С, знання платформи 1С, об’єктної моделі, механізмів обміну даними.

Вимоги:

Досвід роботи з 1С:Підприємство 8.x не менше 2 років.

Глибоке знання конфігурації ЗУП (Зарплата та управління персоналом, редакції 2.1). Бухгалтерія для Україні редакція 1.1/ 1.2. BAS проф

Розуміння кадрового та зарплатного обліку (від прийому на роботу до звільнення, розрахунки, податки, ПДФО, ЄСВ тощо).

Навички роботи зі звітом 1ДФ, ЄСВ, відпустками, лікарняними, преміями, графіками роботи.

Досвід оновлення та адаптації конфігурацій під потреби підприємства.

Володіння мовою запитів 1С, знання платформи 1С, об’єктної моделі, механізмів обміну даними.