Kyivstar.Tech

We are looking for a Data Engineer to build and optimize the data pipelines that fuel our Ukrainian LLM and Kyivstar’s NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling our data scientists and ML engineers to develop cutting-edge language models. You will work at the intersection of data engineering and machine learning, ensuring that our datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context. This is a unique opportunity to shape the data foundation of a pioneering AI project in Ukraine, working alongside NLP experts and leveraging modern big data technologies.

What you will do

• Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information. Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
• Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to our language modeling efforts.
• Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
• Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
• Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
• Automate data processing workflows and ensure their scalability and reliability. Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
• Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs. Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
• Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models. Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
• Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
• Manage data security, access, and compliance. Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

Qualifications and experience needed

• Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
• NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given our project’s focus. Understanding of FineWeb2 or a similar processing pipeline approach.
• Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
• Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
• Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as our NLP applications may require embedding storage and fast similarity search.
• Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
• Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
• Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

A plus would be

• Advanced Tools & Frameworks: Experience with distributed data processing frameworks (such as Apache Spark or Databricks) for large-scale data transformation, and with message streaming systems (Kafka, Pub/Sub) for real-time data pipelines. Familiarity with data serialization formats (JSON, Parquet) and handling of large text corpora.
• Web Scraping Expertise: Deep experience in web scraping, using tools like Scrapy, Selenium, or Beautiful Soup, and handling anti-scraping challenges (rotating proxies, rate limiting). Ability to parse and clean raw text data from HTML, PDFs, or scanned documents.
• CI/CD & DevOps: Knowledge of setting up CI/CD pipelines for data engineering (using GitHub Actions, Jenkins, or GitLab CI) to test and deploy changes to data workflows. Experience with containerization (Docker) to package data jobs and with Kubernetes for scaling them is a plus.
• Big Data & Analytics: Experience with analytics platforms and BI tools (e.g., Tableau, Looker) used to examine the data prepared by the pipelines. Understanding of how to create and manage data warehouses or data marts for analytical consumption.
• Problem-Solving: Demonstrated ability to work independently in solving complex data engineering problems, optimising existing pipelines, and implementing new ones under time constraints. A proactive attitude to explore new data tools or techniques that could improve our workflows.

What we offer

• Office or remote – it’s up to you. You can work from anywhere, and we will arrange your workplace.
• Remote onboarding.
• Performance bonuses.
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners.   
• Health and life insurance.  
• Wellbeing program and corporate psychologist.  
• Reimbursement of expenses for Kyivstar mobile communication.  

Kyivstar.Tech is seeking an experienced Senior Data Scientist / NLP Lead to spearhead the development of cutting-edge natural language processing solutions for our Ukrainian LLM project. You will lead our NLP team in designing, implementing, and deploying large-scale language models and NLP algorithms that power our products. This role is critical to our mission of advancing AI in the Ukrainian language context, and offers the opportunity to drive technical decisions, mentor a team of data scientists, and shape the future of AI capabilities in Ukraine.

About us

Kyivstar.Tech is a Ukrainian hybrid IT company and a resident of Diia.City.

We are a subsidiary of Kyivstar, one of Ukraine's largest telecom operators.

Our mission is to change lives in Ukraine and around the world by creating technological solutions and products that unleash the potential of businesses and meet users' needs.

Over 500+ KS.Tech specialists work daily in various areas: mobile and web solutions, as well as design, development, support, and technical maintenance of high-performance systems and services.

We believe in innovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each of us is an adherent of entrepreneurial culture, which allows us never to stop, to evolve, and to create something new.

What you will do 

• Lead end-to-end development of NLP and LLM models - from data exploration and model prototyping to validation and production deployment. This includes designing novel model architectures or fine-tuning state-of-the-art transformer models (e.g. BERT, GPT) to solve project-specific language tasks.

• Analyze large text datasets (Ukrainian and multilingual corpora) to extract insights and build robust training datasets. Guide data collection and annotation efforts to ensure high-quality data for model training.

• Develop and implement NLP algorithms for a range of tasks such as text classification, named entity recognition, semantic search, and conversational AI. Stay up-to-date with the latest research to apply transformer-based models, embeddings, and other modern NLP techniques in our solutions.

• Establish evaluation metrics and validation frameworks for model performance, including accuracy, factuality, and bias. Design A/B tests and statistical experiments to compare model variants and validate improvements.

• Deploy and integrate NLP models into production systems in collaboration with engineers - ensuring models are scalable, efficient, and well-monitored in a real-world setting. Optimize model inference and troubleshoot issues such as model drift or data pipeline bottlenecks.

• Provide technical leadership and mentorship to the NLP/ML team. Review code and research, uphold best practices in ML (version control, reproducibility, documentation), and foster a culture of continuous learning and innovation.

• Collaborate cross-functionally with product managers, software engineers, and MLOps engineers to align NLP solutions with product goals and infrastructure capabilities. Communicate complex data science concepts to stakeholders and incorporate their feedback into the model development process.

Qualifications and experience needed 

Education & Experience:

• 5+ years of experience in data science or machine learning, with a strong focus on NLP.

• Proven track record of developing and deploying NLP or ML models at scale in production environments.

• Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

NLP Expertise:

• Deep understanding of natural language processing techniques and algorithms.

• Hands-on experience with modern NLP approaches, including embedding models, text classification, sequence tagging (NER), and transformers/LLMs.

• Deep understanding of transformer architectures and knowledge of LLM training and fine-tuning techniques, hands-on experience developing solutions on LLM, and knowledge of linguistic nuances in Ukrainian or other languages.

Advanced NLP/ML Techniques:

•Experience with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.

•Background in information retrieval or RAG (Retrieval-Augmented Generation) is a plus for building systems that augment LLMs with external knowledge.

ML & Programming Skills:

•Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn).

•Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.

•Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:

• Solid understanding of data analytics and statistics.

• Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.

• Experience in building a representative benchmarking framework given business requirements for LLM.

• Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.

Deployment & Tools:

• Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.

• Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).

• Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop) for scaling data processing or model training is a plus.

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).

Leadership & Communication:

• Demonstrated ability to lead technical projects and mentor junior team members.

• Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies.

A plus would be 

LLM training & evaluation experience:

• Experience with tokenizer development, SFT, and RLHF techniques.

• Knowledge of model safety: toxicity, hallucinations, ethical considerations, and LLM guardrails.

Research & Community:

• Publications in NLP/ML conferences or contributions to open-source NLP projects.

• Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.

Domain & Language Knowledge:

• Familiarity with the Ukrainian language and cultural context for model training and evaluation.

MLOps & Infrastructure:

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).

• Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.

Problem-Solving:

• Creative mindset for tackling open-ended AI challenges.

• Comfort in fast-paced R&D environments with evolving priorities.

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace.

• Remote onboarding.

• Performance bonuses.

• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners.

• Health and life insurance.

• Wellbeing program and corporate psychologist.

• Reimbursement of expenses for Kyivstar mobile communication.

We are looking for a Business Analyst to join our Product Development Team. You will join the in-house development team, whose primary responsibility is analyzing and designing scenarios for B2B chat bot via Node-red. The role has all the advantages of working in a product team — versatile projects, plenty of independence, a chance to influence the direction of development, and the opportunity to grow with the role.

About us

Kyivstar.Tech is a Ukrainian hybrid IT company and a resident of Diia.City.

We are a subsidiary of Kyivstar, one of Ukraine’s largest telecom operators.

Our mission is to change lives in Ukraine and around the world by creating technological solutions and products that unleash the potential of businesses and meet users’ needs.

Over 500+ KS.Tech specialists work daily in various areas: mobile and web solutions, as well as design, development, support, and technical maintenance of high-performance systems and services.

We believe in innovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each of us is an adherent of entrepreneurial culture, which allows us never to stop, to evolve, and to create something new.

What you will do

• Work in a cross-functional team with analysts, developers & designers to deliver product features
• Identifying options for potential solutions and assessing them for technical and business suitability
• Working closely with the Product Manager, Development team, IT, external stakeholders, and end-users to ensure technical compatibility and user satisfaction
• Analyze requirements, and define use cases and functional requirements for the software
• Design chat bot scenarios for B2B users
• Creates and updates functional & technical descriptions of business processes related to supporting, configuration, and maintenance of the solution
• Perform requirements management, prioritization, traceability, verification, and validation of the requirements
• Backlog management and facilitation if needed
• Oversees test implementation, gathers feedback from users, and proposes functional improvements

• Selection and implementation of the necessary tools, technologies, and techniques.

   

Qualifications and experience needed

• 2+ years of relevant working experience
• Experience producing solution artifacts, including UML, Use Cases, Business Rules, Functional & Non-Functional Specifications, etc
• Good knowledge of Scrum methodology and understanding of the BA role in the Scrum process
• Good understanding of web standards, protocols, messaging protocols, and data formats (REST, SOAP, JSON, XML, HTTP, FTP, TCP, etc.)
• Understanding of low code engineering
• Experience with configuration in Node-red
• Strong understanding of SDLC principles
• Understanding of CI/CD (principles, instruments)
• Good communication & facilitation skills
• Strong analytical and system thinking skills
• Team player with proven ability to work cross-functionally

• Can effectively deal with ambiguity

   

A plus would be

• Experience in low code programming
• Experience with data sources such as PostgreSQL, MySQL, MongoDB, or MS SQL servers
• Understanding and experience applying SOA, DDD, monolith, and design patterns
• Experience in designing RESTful APIs
• Basic expertise in mobile development technologies
• Experience in integration projects

• Excellent knowledge of Atlassian stack (Jira, Confluence)

   

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace
• Remote onboarding
• Performance bonuses
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
• Health and life insurance
• Wellbeing program and corporate psychologist
• Reimbursement of expenses for Kyivstar mobile communication

We are looking for a skilled DevOps Engineer to join our friendly and highly professional team! In this role, you’ll work closely with our core product teams, ensuring the stability and growth of Kyivstar products ecosystem.Beyond our standard product development, you will have the unique opportunity to contribute to our National LLM project. We are looking for a teammate who values collaboration and technical excellence, and who is excited to bridge the gap between reliable product engineering and the future of Ukrainian AI.

Qualifications and experience needed

• 4+ years experience as a DevOps Engineer;
• 3+ years hands-on experience in Kubernetes
• 3+ years experience with CaaC (Ansible prefer);
• 3+ years experience in AWS Cloud IaaC (Terraform prefer);
• 3+ years hands-on experience configuring and maintaining CI/CD pipelines in Jenkins;
• Monitoring and logging tools (Prometheus/Grafana/Loki, ELK);
• Strong knowledges of administration of Linux;
• Familiar with IP networking, routing, VPN’s, DNS and load balancing;
• Good knowledge of Bash, Python, Groovy scripting.

A plus would be

• Hands-on experience with MLOps practices or working on Machine Learning infrastructure projects;
• CKAD/AWS certification;

What you will do

• Develop practices that aims at merging development, quality assurance, and operations;
• Deploy and operate on-prem and cloud k8s clusters;
• CI/CD processes automation;
• Improve observability and reliability.

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace
• Remote onboarding
• Performance bonuses
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
• Health and life insurance
• Wellbeing program and corporate psychologist
• Reimbursement of expenses for Kyivstar mobile communication

We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

What you will do

• Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc.
• Form specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
• Develop heuristics, filtering rules, adversarial examples, and synthetic data generation methods to maximize model robustness and data effectiveness.
• Research and develop best practices and novel techniques in LLM training pipelines.
• Develop metrics, tools and processes for continuous evaluation during model pre-training, fine-tuning, and deployment.
• Analyze benchmarking datasets, define gaps and design, implement, and maintain comprehensive benchmarking framework for Ukrainian language.
• Monitor and analyze the impact of data quality and benchmark results on model performance, identifying strengths, weaknesses, and improvement opportunities.
• Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.
• Document methodologies, experimental findings, and best practices, and share insights across internal teams to ensure alignment of training and evaluation workflows.

Qualifications and experience needed

Education & Experience:

• 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
• Proven experience in end-to-end ML, NLP model development, including data preparation and evaluation.
• An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

NLP Expertise:

• Good knowledge of natural language processing techniques and algorithms.
• Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
• Familiarity with LLM training and fine-tuning techniques.

ML & Programming Skills:

• Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
• Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:

• Solid understanding of data analytics and statistics.
• Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
• Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.

Deployment & Tools:

• Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
• Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
• Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.

Communication:

• Experience working in a collaborative, cross-functional environment.
• Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.
• Ability to rapidly prototype and iterate on ideas

A plus would be

Advanced NLP/ML Techniques:

• Solid understanding of RLHF concepts and related techniques (preference modeling, reward modeling, reinforcement learning).
• Prior work on LLM safety, fairness, and bias mitigation.
• Ability to rapidly prototype and iterate on ideas
• Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
• Knowledge of data annotation workflows and human feedback collection methods.

Research & Community:

• Publications in NLP/ML conferences or contributions to open-source NLP projects.
• Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.

Domain & Language Knowledge:

• Familiarity with the Ukrainian language and context.
• Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
• Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given our project’s focus.
• Knowledge of Ukrainian benchmarks, or familiarity with other evaluation datasets and leaderboards for large models, can be an advantage given our project’s focus.

MLOps & Infrastructure:

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
• Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.

Problem-Solving:

• Innovative mindset with the ability to approach open-ended AI problems creatively.
• Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace
• Remote onboarding
• Performance bonuses
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
• Health and life insurance
• Wellbeing program and corporate psychologist
• Reimbursement of expenses for Kyivstar mobile communication

We are looking for a Hands-on Technical Lead with strong Creatio expertise to lead the engineering of our enterprise B2B CRM platform

About us 

Kyivstar.Tech is a Ukrainian hybrid IT company and a resident of Diia.City. 

We are a subsidiary of Kyivstar, one of Ukraine’s largest telecom operators. 

Our mission is to change lives in Ukraine and around the world by creating technological solutions and products that unleash the potential of businesses and meet users’ needs. 

Over 500+ KS.Tech specialists work daily in various areas: mobile and web solutions, as well as design, development, support, and technical maintenance of high-performance systems and services. 

We believe in innovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each of us is an adherent of entrepreneurial culture, which allows us never to stop, to evolve, and to create something new. 

What you will do

• Design and own the architecture of the B2B CRM platform based on Creatio. 
• Define and implement scalable, secure, and reliable solution designs for complex enterprise use cases. 
• Work closely with Business Analysts, Product Owners, and developers to maintain developing technical solutions. 
• Develop and maintain custom Creatio packages (C#, business logic, integrations, UI). 
• Design and govern integrations between Creatio and enterprise systems. 
• Ensure data consistency, performance, fault tolerance, and security of the platform. 
• Maintain and provide technical leadership to Middle and Junior developers. 
• Create and maintain technical and architectural documentation. 
• Participate in sprint planning, technical estimations, and solution design workshops. 
• Support CI/CD pipelines and deployment processes for Creatio customizations. 
• Analyze and resolve complex incidents and performance issues. 

• Continuously improve the architecture, standards, and development practices of the CRM platform. 

   

Qualifications and experience needed

• Strong hands-on experience with Creatio (configuration, custom packages, business processes, integrations). 
• 5+ years of experience in C#/ .NET/ .NET Core development. 
• Experience with REST and SOAP APIs and system integrations. 
• Strong knowledge of MS SQL Server or PostgreSQL. 
• Good understanding  Creatio UI customization. 
• Experience designing enterprise solutions and working with complex data models. 
• Ability to work with non-technical stakeholders and explain technical solutions in a clear way. 
• Experience with CI/CD and deployment automation is a plus. 

• Optional: Experience in B2B, telecom, or large enterprise systems is a strong advantage. 

   

What we offer

• Office or remote it’s up to you. You can work from anywhere, and we will arrange your workplace. 
• Remote onboarding. 
• Performance bonuses for everyone (annual or quarterly depends on the role). 
• We train employees: the opportunity to learn through the company’s own library, internal resources and programs from partners. 
• Health and life insurance. 
• Wellbeing program and corporate psychologist. 
• Reimbursement of expenses for Kyivstar mobile communication. 

We are looking for a strategic and hands-on No-code Center of Excellence (CoE) Leader to drive the adoption, governance, and scalability of no-code practices across the organization. This leadership role will be instrumental in building a high-impact no-code capability based on Creatio platform, optimizing the use of human and technical resources across teams.

What you will do

• Lead the development, standardization, and continuous improvement of no-code methodologies, tools, and frameworks across the organization
• Implement business initiatives end-to-end using the Creatio no-code platform, from gathering requirements to deployment
• Build and manage a center of competence for no-code practices, including sharing reusable components, setting priorities, and allocating resources
• Mentor and manage a team of no-code/low-code developers in designing, developing, and maintaining business applications
• Collaborate with business stakeholders to define user stories and translate them into effective no-code solutions
• Ensure solutions meet best practices in architecture, security, scalability, and maintainability
• Recruit, onboard, train, and certify internal no-code creators, fostering a strong no-code community
• Coordinate with IT, QA, and DevOps teams to optimize CI/CD and deployment processes
• Act as a strategic advisor on no-code platform capabilities, limitations, and optimal use cases

Qualifications and experience needed

• Bachelor's or Master’s degree in Business, Information Systems, Computer Science, or a related field
• 2.5+ years of experience in business process automation, application development or enterprise innovation roles as lead
• Deep understanding of no-code/low-code platforms: Creatio – is a must, other platforms (e.g., Microsoft Power Platform, Bubble, Make, Glide, etc.) strong plus
• Solid understanding of software development lifecycle (SDLC) and agile methodologies
• Experience integrating low-code solutions with APIs, databases, and third-party services
• Strong problem-solving, communication, and organizational skills
• Knowledge of data modeling, security models, and workflow automation
• Proven experience establishing or leading a Center of Excellence or shared services function
• Strong knowledge of governance, IT policy management, and resource planning

What we offer

• Office or remote — it's up to you. You can work from anywhere, and we will arrange your workplace
• Remote onboarding
• Performance bonuses for everyone (annual or quarterly — depends on the role)
• We train employees: the opportunity to learn through the company’s own library, internal resources and programs from partners
• Health and life insurance
• Wellbeing program and corporate psychologist
• Reimbursement of expenses for Kyivstar mobile communication

Команда адміністраторів ключових сервісів Київстар.Тех в пошуку нового колеги на роль IT Infrastructure Engineer.

Що ти будеш робити

• Розробляти архітектуру, підтримувати, налаштовувати служби інфраструктури Microsoft: AD/AAD, Office 365, Intune, Exchange (локальний/онлайн), DNS, DHCP, CA, PKI, WSUS, обмін файлами.
• Налаштувувати моніторинг та усувати несправності інфраструктурних служб.

• Управляти документацією/процесами/процедурами/базою знань.

   

Яка кваліфікація та досвід необхідні

• Глибокі знання та практичний досвід роботи з ActiveDirectory (AD/AAD), Office 365, Intune, Exchange (локальним та онлайн), DNS, DHCP, Центром сертифікації (CA), Інфраструктурою відкритих ключів (PKI), WSUS і рішеннями для обміну файлами.
• Доведений досвід у проєктуванні, впровадженні та управлінні інфраструктурою Microsoft.
• Володіння навичками автоматизації та написання скриптів (PowerShell або інші відповідні інструменти) для оптимізації процесів та підвищення ефективності.
• Солідне розуміння основ мереж і протоколів, включаючи DNS і DHCP.
• Досвід роботи з вимогами безпеки та відповідності стандартам, що стосуються середовищ Microsoft.
• Знання управління гібридною та хмарною інфраструктурою, особливо інтеграції локальних рішень з Azure.
• Розмовна англійська

Ми пропонуємо

• Офіс або ремоут — вирішувати тобі. Ми даємо можливість працювати будь-де, а робоче місце облаштуємо.
• Ремоут онбординг.
• Перформанс бонуси для всіх (річні чи квартальні — залежить від ролі).
• Навчаємо працівників: є безліч внутрішніх ресурсів і програм від партнерів, власна бібліотека.
• Страхування здоров’я і життя для працівників.
• Wellbeing-програма та корпоративний психолог.
• Компенсація витрат на мобільний зв’язок Київстар.

Команда продуктових аналітиків Київстар.Тех в пошуку Product Analyst. Ти майже з нами, якщо знаєш, як налаштовувати трекінг аналітики на сайті, вільно працюєш з SQL, можеш прочитати документацію REST API і вивантажити звіт та розумієш, як будувати дашборди так, щоб по ним можна було приймати рішення. 

Що ти будеш робити

• Співпрацювати з продуктовими командами для виявлення бізнес-потреб та формування чітких аналітичних вимог.
• Налаштовувати відстеження подій (Google Tag Manager) і передачу даних у Google Analytics 4 та інші системи.
• Створювати та підтримувати інформативні дашборди з наскрізною аналітикою для моніторингу ключових метрик продукту.
• Розробляти комплексні дашборди для маркетингу, інтегруючи дані з рекламних кабінетів, GA4, Google Search Console та інших джерел (у т.ч. через API).
• Керувати інтеграціями з маркетинговими інструментами та налаштовувати експорт аудиторій у рекламні платформи.
• Аналізувати воронки користувачів, знаходити вузькі місця та пропонувати рішення для їх покращення.
• Проводити глибинний аналіз даних для виявлення тенденцій, аномалій та формування гіпотез розвитку продукту.
• Планувати, запускати та аналізувати A/B/n-тести, оцінювати статистичну значущість результатів.

• Виконувати ad-hoc аналіз даних на запит та автоматизовувати регулярні звіти й дашборди.

   

Яка кваліфікація та досвід необхідні

• Впевнене володіння SQL для аналізу великих масивів даних, уміння оптимізувати запити та шукати ресурсоємні місця в них. 
• Досвід роботи з Google Analytics 4 і Google Tag Manager включно з написанням кастомного JavaScript для налаштування відстеження подій.
• Уміння використовувати Python для автоматизації збору та обробки даних, зокрема для роботи з API та інтеграції даних з різних джерел.
• Досвід створення дашбордів і звітів в одному з BI-інструментах (Looker Studio / Power BI).
• Досвід проведення A/B/n-тестів для оптимізації продукту.

• Здатність ефективно працювати в команді, генерувати гіпотези та пояснювати складні речі простими словами.

   

Плюсом стане

• Досвід роботи з Google BigQuery (включно з оптимізацією витрат).
• Досвід роботи із API рекламних платформ (Google, Meta, TikTok).
• Досвід налаштування ecommerce-аналітики в Google Analytics та інших системах.

• Досвід роботи із Amplitude (графіки, когорти, дашборди).

   

Ми пропонуємо

• Офіс або ремоут — вирішувати тобі. Ми даємо можливість працювати будь-де, а робоче місце облаштуємо.
• Ремоут онбординг.
• Перформанс бонуси для всіх (річні чи квартальні — залежить від ролі).
• Навчаємо працівників: є безліч внутрішніх ресурсів і програм від партнерів, власна бібліотека.
• Страхування здоров’я і життя для працівників.
• Wellbeing-програма та корпоративний психолог.
• Компенсація витрат на мобільний зв’язок Київстар.

Шукаємо людину, яка створюватиме цікавий та ефективний контент для нашого чатбота.

Що ти будеш робити

• Писати прості й вичерпні тексти для користувацьких флоу
• Проєктувати сценарії для чатбота разом із аналітиками та розробниками
• Конфігурувати контент у low-code конструкторі 
• Аналізувати зрозумілість і влучність відповідей чатбота та відповідно адаптувати контент
• Удосконалювати тон і голос продукту
• Твоє завдання — максимально зануритися в продукт, вивчити всі його переваги й недоліки. Разом із PO, аналітиками та розробниками ви створите комерційно успішну історію. З іншого боку, ти мусиш перейматися потребами й «болями» користувачів та прагнути їх вирішити. 

Спеціаліст, якого ми шукаємо

• Має досвід роботи на аналогічній посаді в продуктовій або сервісній компанії від двох років
• Має портфоліо з UX-кейсами, реалізованими у реальних продуктах
• Професійно володіє українською мовою (зокрема правописними й стилістичними нормами)
• Cамостійно планує свій час та пріоритезує задачі
• Готовий працювати за Scrum-фреймворком
• Щиро цікавиться людьми та любить працювати в команді
• Швидко засвоює нові знання та застосовує їх на практиці
• Уважний і вимогливий до деталей

Буде плюсом

• Базове розуміння ML/NLP
• Досвід роботи з CMS та low-code/no-code конструкторами чатботів (pipe.bot, corezoid, dialogflow, manychat, intercom тощо)

Що ми пропонуємо

• Офіс або ремоут — вирішувати тобі.
• Ми даємо можливість працювати будь-де, а робоче місце облаштуємо 
• Ремоут онбординг  
• Перформанс бонуси для всіх (річні чи квартальні — залежить від ролі)  
• Навчаємо працівників: є безліч внутрішніх ресурсів і програм від партнерів, власна бібліотека  
• Страхування здоров’я і життя для працівників  Wellbeing-програма та корпоративний психолог 
• Компенсація витрат на мобільний зв'язок Київстар 

Команда Київстар.Тех в пошуку нового колеги або коліжанки на роль Інженере технічної підтримки

Про нас

Kyivstar.Tech — українська гібридна ІТ-компанія, резидент Дія.City. Ми є дочірньою компанією Київстар, одного з найбільших українських операторів зв’язку.

Наша місія — змінювати життя в Україні та в світі, створюючи технологічні рішення і продукти, що реалізують потенціал компаній і потреби користувачів.

Понад 500 спеціалістів KS.Tech щодня працюють у різних сферах: мобільні та веб-рішення, а також проєктування, розробка, підтримка та технічне обслуговування високопродуктивних систем і сервісів.

Ми віримо в інновації, що дійсно приносять якісні зміни, та постійно кидаємо виклик традиційним підходам і рішенням. Кожен з нас є адептом підприємницької культури, яка дозволяє ніколи не зупинятися, розвиватися і створювати нове.

Що ти будеш робити

• Забезпечувати технічну підтримку систем FPNA (Система бюджетування та підготовки управлінської звітності) , FMP (Feedback Management System)
• Виконанувати адміністративні роботи в системі (усунення помилок, інцидентів, відновлення роботи системи, адміністрування користувачів, виконання заявок користувачів)
• Конфігурувати систем FPNA, FMP
• Створювати оперативні звіти з систем FPNA, FMP
• Розробляти макрокоманди, які необхідні для автоматизації процесів в системі
• Налаштувувати метрики моніторингу, контролювати виконання резервування системи
• Оформлювати запити на Oracle Support
• Встановлювати, тестувати нові патчі, оновлення системи FPNA, FMP
• Взаємодіяти з розробниками системи, контролювати виконання поставлених завдань розробникам

• Брати участь в проєктах з розвитку системи

   

Яка кваліфікація та досвід необхідні

• Знання принципів функціонування систем бюджетування та підготовки управлінської звітності
• Досвід адміністрування ERP систем (від 3 років)
• Досвід роботи з Oracle Cloud EPM Planning. (Модулі Planning, Financial Consolidation and Close)
• Глибокі навики роботи з СУБД Oracle, володіння PL/SQL (написання скриптів, управління об’єктами БД)
• Знання одного з основних програмних продуктів для роботи з БД Oracle (PL/SQL Developer, Toad тощо)
• Досвід роботи з ОС Linux, навики написання bash-скриптів
• Вища технічна освіта у сфері інформаційних технологій

• Англійська мова — upper intermediate (B2)

   

Що ми пропонуємо

• Офіс або ремоут — вирішувати тобі. Ми даємо можливість працювати будь-де, а робоче місце облаштуємо
• Ремоут онбординг
• Перформанс бонуси для всіх (річні чи квартальні — залежить від ролі)
• Навчаємо працівників: є безліч внутрішніх ресурсів і програм від партнерів, власна бібліотека
• Страхування здоров’я і життя для працівників
• Wellbeing-програма та корпоративний психолог
• Компенсація витрат на мобільний зв’язок Київстар