Jobs Ivano-Frankivsk

Client

Our client is a global provider of domain registration, web hosting, and SSL certificate services. The company supports thousands of resellers and hundreds of thousands of businesses worldwide, offering reliable solutions for managing digital infrastructure.

Project overview

The project is a high-scale platform that provides a unified solution for provisioning, billing, and lifecycle management of domain registration, web hosting, and SSL certificate services.

Position overview

We are looking for a Tech Lead DevOps Engineer to lead the design, implementation, and continuous improvement of a high scale infrastructure platform supporting domain registration, web hosting, and SSL certificate services. In this role, you will collaborate with engineering and leadership teams to build reliable, scalable, and secure environments while driving DevOps best practices across the organization.

Responsibilities

• Lead the design, implementation, and evolution of hybrid AWS-based and on-premise infrastructure.
• Drive DevOps best practices, standards, and technical decisions across the team.
• Design and maintain scalable, secure, and highly available infrastructure.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage and optimize containerized environments using Docker, Kubernetes, and Helm.
• Develop, maintain, and improve CI/CD pipelines.
• Implement and enhance monitoring, logging, and observability using Prometheus, Grafana, and AWS CloudWatch.
• Ensure the reliability, performance, security, and scalability of the platform.
• Troubleshoot complex infrastructure and production issues.
• Collaborate closely with management, development and engineering teams to improve deployment processes and operational efficiency.
• Mentor and provide technical guidance to other DevOps engineers.

Requirements

• Extensive experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles, including experience in a technical leadership capacity.
• At least 2 years as a Tech Lead.
• Strong hands-on experience with AWS and designing cloud-based infrastructure.
• Solid experience with Docker and Kubernetes in production environments.
• Strong knowledge of Infrastructure as Code, particularly Terraform.
• Experience with Helm for managing Kubernetes applications.
• Strong experience designing and maintaining CI/CD pipelines.
• Hands-on experience with monitoring and observability tools, including Prometheus, Grafana, and AWS CloudWatch.
• Strong Linux administration and Bash scripting skills.
• Experience working with Git and modern software development workflows.
• Strong troubleshooting and problem-solving skills.
• Excellent communication skills and the ability to collaborate effectively across teams.

Client

Our client is one of the leading Europe’s alternative asset managers that provide effective capital solutions to meet needs of wide range of corporate and real asset owners.

Project overview

The project focuses on building a cloud based data platform that centralizes, transforms, and delivers high quality data across multiple business domains. The environment supports advanced analytics, data governance, and scalable data processing using modern Azure and Snowflake technologies.

Position overview

We are looking for a Senior Data Engineer with strong expertise in Snowflake and Azure data technologies to contribute to the development and enhancement of a large scale enterprise data platform. You will work on designing, building, and optimizing modern data solutions that support analytics, reporting, and business decision making. This role is ideal for a data professional who enjoys working with cloud data platforms, complex data pipelines, and modern data warehousing architectures.
 

Technology stack

Snowflake, Snowflake SQL, Snowflake Stored Procedures, Snowflake UDFs, Snowpark, Python, Apache Airflow, Azure SQL Database, Microsoft SQL Server, T SQL, dbt, Airflow Cosmos, Snowflake CLI, Azure Cloud Services, Data Warehousing, ETL, ELT, Medallion Architecture, Layered Architecture, Dimensional Modeling, Git

Responsibilities

• Develop and maintain scalable data solutions on the Snowflake platform
• Design and implement Snowflake databases, schemas, tables, views, and materialized views
• Build, optimize, and support ETL and ELT data pipelines
• Create and maintain stored procedures and user defined functions using Python and SQL
• Design and develop data warehouse solutions using layered and Medallion architecture principles
• Optimize Snowflake and SQL Server performance through indexing, partitioning, query tuning, and workload optimization
• Develop complex SQL queries utilizing analytical and window functions
• Collaborate with architects, business stakeholders, and engineering teams to deliver high quality data solutions
• Support data quality validation, reconciliation, and testing activities
• Prepare and maintain technical documentation related to data solutions and architecture
• Contribute to continuous improvement initiatives and engineering best practices

Requirements

• Strong experience with Snowflake data platform engineering
• Advanced knowledge of Snowflake SQL
• Experience with Snowflake databases, schemas, tables, views, and materialized views
• Experience developing Snowflake stored procedures and UDFs using Python and SQL
• Strong experience with Apache Airflow
• Strong Python development skills
• Hands on experience with Azure SQL Database, Microsoft SQL Server, and T SQL
• Experience creating and optimizing tables, views, stored procedures, functions, indexes, and partitions
• Strong knowledge of SQL performance tuning and query optimization
• Experience developing ETL and ELT pipelines
• Experience building enterprise data warehouse solutions
• Knowledge of Layered Architecture and Medallion Architecture
• Experience with dimensional modeling
• Good verbal and written English communication skills

Nice to have

• Experience with dbt
• Experience with Airflow Cosmos
• Knowledge of Snowpark
• Experience working with Snowflake CLI
• Experience with Master Data Management design and integration
• Experience with QlikView or Qlik Sense
• Experience with data quality testing, validation, and reconciliation
• Experience creating technical documentation
• Experience within investment banking or asset management environments
• Experience using Claude AI within the Software Development Life Cycle

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role:

We are looking for a Senior Data Analyst to support a project focused on assessing and building a comprehensive customer universe using data from internal and external sources. The role focuses on data acquisition, validation, matching, and process development — assessing data quality and coverage, matching external data with existing customer/account databases, identifying gaps and duplicates, and developing a structured approach for ongoing data maintenance and improvement. The contractor will work closely with Global Insights, Customer Excellence, and local affiliates to refine processes, support pilot readiness, and translate findings into practical recommendations.

Key Responsibilities:

• Support the execution of a data acquisition and validation POC using external data sources.
• Work with large datasets from internal and external sources, including cleansing, structuring, and validating data.
• Assess match rates, data coverage, duplicates, gaps, inconsistencies, and overall data quality.
• Investigate data discrepancies and identify opportunities for data enrichment and improvement.
• Evaluate external data attributes as potential indicators of customer/account size, activity, or potential.
• Develop and document approaches for customer universe identification, matching, validation, and ongoing maintenance.
• Create clear process documentation and SOPs and identify opportunities for process simplification or automation.
• Support pilot preparation by defining relevant requirements, success metrics, and recommendations.
• Collaborate with business stakeholders and local teams to understand requirements and communicate findings.
• Present analytical findings and practical recommendations to relevant stakeholders.
• Maintain project documentation, trackers, and progress updates.

Required Qualifications:

• 4+ years of experience in Data Analytics, Data Quality, Data Operations, Business Analysis, or a related field.
• Strong hands-on experience working with large and complex datasets.
• Advanced Excel skills and confidence working with large volumes of data.
• Practical experience with data cleansing, validation, matching, and deduplication.
• Experience combining and analyzing data from multiple sources.
• Strong analytical and problem-solving skills, with the ability to investigate data quality issues and identify patterns, gaps, and inconsistencies.
• Ability to independently structure ambiguous problems and develop practical approaches to solving them.
• Ability to translate analytical findings into clear business insights and recommendations.
• Strong attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and take ownership of tasks in a fast-moving environment.

Nice to have:

• Experience in healthcare, aesthetics, medical devices, pharmaceuticals, or commercial excellence.
• Experience using external data providers or web-sourced datasets.
• Experience with CRM systems (Veeva CRM, Salesforce, Dynamics, etc.).
• Experience building customer universe or account segmentation approaches.
• Familiarity with data enrichment and data quality methodologies.
• Experience working across international markets.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Hi! We’re CyberCare, a company specializing in customer service for global tech brands and part of the Tesonet venture holding. Our team of 370+ professionals combines AI-driven automation with a human touch to deliver a smooth, hassle-free experience for millions of tech product users worldwide.

We’re changing what support should look like. While AI handles the routine tasks, you focus on what truly matters: solving technical issues accurately, finding solutions, and bringing the kind of empathy no automation can replace.
 

What makes you a strong candidate:

• Above-average English (B2+) with solid conversational skills;
• Experience with Windows/MacOS/Android/iOS;
• Confidence in multitasking and providing technical support;
• A calm, customer-focused approach — even in stressful situations; a positive, proactive, and motivated mindset;
• Availability to work full-time on a rotating shift schedule (morning, day, and evening shifts); willingness to work remotely with occasional visits to our Lviv office for team meetings, team-building events, and other activities.
   

What you’ll do and learn:

• You’ll support NordVPN customers via live chat — no phone calls involved.
• You’ll help resolve technical and billing-related issues, keep customers satisfied by solving their problems, and turn users into brand ambassadors through quality support.
• You’ll bring empathy, patience, and a positive attitude to every customer interaction.
   

Work schedule: Day shift: 9:00 AM-5:00/6:00 PM; Evening shift: 4:00/5:00 PM-1:00 AM
 

This is a hybrid office/remote role. Our office is located in Lviv, so we welcome candidates from neighboring regions as well (Lviv, Ivano-Frankivsk, Rivne, Lutsk, Ternopil, Chernivtsi). 
For the duration of martial law, fully remote work is available, with occasional attendance at internal company events.
 

What we offer:

• A comfortable start in the tech industry through onboarding and mentorship support;
• Office in Lviv plus the option to work from home (hybrid model)
• Health insurance;
• Competitive salary and bonuses;
• Variety of internal and online training programs, books, and everything you need for professional growth;
• Great team — seriously, the best! We organize regular internal events, knowledge-sharing sessions, and team-building activities; top-notch technology and tools for working on world-renowned products;
• Excellent working conditions, including a flexible schedule (day and evening shifts).
   

If you’re a highly motivated professional who embraces new challenges and is eager to join CyberCare, please send your resume (in English only) with a detailed overview of your career, experience, skills, and projects.

N-iX is looking for a BI Engineer to join one of the biggest and strongest Data Units in Ukraine.

Our client is a US-based company that provides In-flight Internet and entertainment services to aircraft across the globe, serving commercial aircrafts. At this moment we cooperate on Business Intelligence, Data Analysis  and BigData directions and look for talents who can contribute to the complex data management and analysis projects.

Requirements:

• Proven hands-on experience with Tableau, including Tableau Desktop and Tableau Server
• Proven experience migrating BI reports and dashboards from Tableau to Power BI
• Hands-on experience with Power BI, including report and dashboard development
• Strong knowledge of SQL
• Experience with DAX and Power Query
• Knowledge of SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS) and Paginated Reports
• Experience with Airflow
• Basic knowledge of Python
• Upper-intermediate English or higher

Responsibilities:

• Migrate existing BI reports and dashboards from Tableau to Power BI, ensuring that business logic, calculations, and reporting requirements are preserved.
• Analyze existing Tableau dashboards, reports, data sources, and business logic and translate them into Power BI solutions.
• Design, develop, and optimize Power BI reports and dashboards based on existing Tableau solutions and business requirements.
• Validate migrated reports against the original Tableau versions to ensure data accuracy, consistency, and functional parity.
• Convert business and information needs into effective, user-friendly reports and dashboards.
• Identify gaps, inconsistencies, and technical challenges during the migration process and propose appropriate solutions.
• Implement and optimize BI solutions to support reporting and analytical needs.
• Ensure the quality, accuracy, and performance of migrated and newly developed reports.

Nice to have:

• Experience with Snowflake, Databricks
• AI usage for Power BI report development and/or migration of reports between different BI Tools 

Project technology stack

The project currently utilizes a modern BI ecosystem centered around Tableau, SSRS, and Kibana for reporting and dashboarding, with data sourced from Snowflake. Data transformations are handled through DBT, while orchestration is supported via Airflow. As part of the BI modernization initiative, existing Tableau reporting solutions are being migrated to Power BI.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Our client is the Inflight Internet Company that is specialized in delivering reliable Internet connectivity and entertainment multimedia to aircrafts for the USA, enhancing the experience for both passengers and crew. It is the leading global provider of broadband connectivity products and services for aviation. It designs and source innovative network solutions that connect aircraft to the Internet, and develop software and platforms that enable customizable solutions for and by their aviation partners. Once connected, they provide industry leading reliability around the world. Their mission is to help aviation go farther by making planes fly smarter, so our aviation partners perform better and their passengers travel happier.

Responsibilities:

• Implementation of Data Quality Automation processors to verify data identity between databases and efficiently detect differences. This includes data research and program code development.
• Implementation of GreatExpectations Data Quality processors to check for unexpected data and special conditions. This involves both data research and program code development.
• Ensuring data integrity by checking for the absence of duplicates and other anomalies across different data sources.
• Validating the correctness of processors, ensuring their proper deployment using AWS, verifying the structure of GitHub repositories, and checking the availability of up-to-date documentation. This includes reviewing all aspects of the deployment to ensure everything was executed correctly.
• Creating defect tickets in case of any issues discovered during the process.
• Producing test results, compiling test reports, and documenting tickets with all necessary links and outcomes.
• Monitoring the operation of data quality processors, identifying problems as they arise, and finding solutions.

Qualifications:

• Bachelor’s degree or equivalent
• Strong data analysis skills with the capability to identify, analyze, and integrate various large complex data sources.
• AI usage experience
• A passion for working with huge data sets
• Proficiency in SQL and a solid understanding of RDBMS, given the diversity of data sources in use.
• Good Python skills, familiarity with the pandas tool is also a big plus.
• Experience with Bash commands and scripting.

Nice to have:

• Knowledge of Big Data technologies such as Hadoop, PySpark, Hive, and Airflow is advantageous

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are seeking an experienced Data Scientist to take ownership of customer risk-scoring models and exploratory risk analysis. In this role, you will analyze complex behavioral data, conduct deep-dive investigations, and construct statistical models to protect both the business and its users.

Responsibilities

• Design, evaluate, and iteratively refine predictive models targeting AML and Safer Gambling risk indicators.
• Conduct exploratory data analysis and targeted investigations to identify behavioral anomalies and emerging risk patterns.
• Partner with compliance and operational risk teams to translate risk domain insights into practical model features.
• Clearly communicate analytical methodologies, model evaluation results, and strategic insights to non-technical stakeholders.

Requirements

• 5+ years of professional experience in a Data Scientist role.
• Strong technical proficiency in Python and SQL for complex data extraction, feature engineering, and statistical modeling.
• Practical expertise in building and evaluating standard statistical and machine learning models (e.g., XGBoost, Linear/Logistic Regression).
• Strong analytical problem-solving skills with a background in model evaluation metrics and data-driven investigations.
• Effective verbal and written communication skills with the ability to articulate complex analytical concepts clearly.

Nice to have

• Prior experience in online gaming.
• Domain familiarity with Anti-Money Laundering (AML) regulations or Responsible/Safer Gambling frameworks.
• Basic conceptual understanding of model deployment pipelines (hands-on engineering deployment expertise is not required).

Job Description

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
6+ years of professional iOS development experience, including shipping apps at scale.
Expertise in Swift, SwiftUI, and Combine.

English: B2+
Experience or knowledge of with The Composable Architecture (TCA) or equivalent state management frameworks.
Experience shipping internationalized apps in multiple markets.
Strong knowledge of iOS UI frameworks, AutoLayout, and accessibility guidelines.
Familiarity with IEC 62304 software lifecycle processes and medical device quality systems.
Strong communication skills with the ability to collaborate across Engineering, QA, Regulatory, and Product teams.
Experience with Git and Agile software development preferred.

Working schedule: till 9-10pm

Job Responsibilities

Work on Design, implementation, and verification of internationalization and localization features for global markets.
Develop modular and testable solutions using SwiftUI, Combine, and TCA, ensuring scalability and long-term maintainability.
Ensure that UI and workflows meet accessibility, usability, and regulatory requirements.
Collaborate with QA and Regulatory teams to support compliance with FDA, IEC 62304, and Client design assurance SOPs
Stay up to date with Apple technologies and best practices in global mobile app development
 

Department/Project Description

We are looking for an iOS Engineer to implement and support the internationalization and localization of our flagship FDA-regulated iOS mobile applications. You will develop and maintain high-quality features using modern Apple frameworks and The Composable Architecture (TCA) while strictly adhering to medical device software standards. In this role, you will collaborate closely with cross-functional teams, participate in peer code reviews, and execute on the technical roadmap to ensur

We’re looking for a proactive Quality Manager to coordinate data annotation projects, ensure high-quality output, support annotation teams, and drive continuous improvement.

Are you organised, proactive, and ready to take ownership of projects in a dynamic, international environment? This is an opportunity to build your career in a role where you’ll coordinate teams, solve problems, improve processes, and make a real impact on project outcomes.

Beetroot is a trusted partner for startups and established brands worldwide, helping them solve their tech staffing and operational needs. Our client is a Swedish company at the forefront of enabling safer and smarter AI systems through high-quality data annotation and machine learning infrastructure. Their platform supports global teams working on cutting-edge projects in areas like autonomous technology, advanced analytics, and computer vision.

As a Quality Manager, you’ll coordinate the data annotation process from reviewing client instructions and testing annotation tasks to onboarding teams, reviewing results, and improving quality based on feedback. You’ll work closely with annotators and external clients, ensuring teams understand expectations, projects stay on track, and quality standards are consistently met.

What you'll do in this role  

• Review and validate client annotation instructions, test annotation tasks, and prepare clear guidelines and learning materials for teams.
• Coordinate the onboarding and training of annotation teams during ramp-ups, ensuring they’re ready to deliver high-quality results.
• Monitor annotation quality, review completed work, identify recurring errors, and investigate their root causes.
• Provide actionable feedback and coach annotators to improve their performance and meet quality expectations.
• Coordinate project progress, keep teams aligned on priorities and deadlines, own the delivery status of your projects, and raise risks early.
• Communicate with external clients, incorporate their feedback, and drive practical improvements to workflows and quality.
• Learn and introduce new tools and practices, including AI-powered tools such as Claude Code, and share effective ways of working with the team.

We're looking for

• B2 or higher English proficiency, with the ability to communicate clearly, write structured messages, and explain complex requirements in simple, actionable terms.
• Strong ownership and coordination skills: you’re well organised, proactive, comfortable managing multiple tasks, and follow through on agreed actions without constant supervision.
• An analytical, quality-driven mindset, with the ability to spot patterns, investigate root causes, solve problems, and suggest practical improvements.
• Flexibility and adaptability: you can switch between details and the bigger picture, learn new tools quickly, and stay effective when guidelines or priorities are still evolving.

• Confidence in coordinating people, setting clear expectations, and keeping teams focused on shared goals. Experience in quality assurance, operations, project coordination, or a similar field is an advantage.

   

How to knock our socks off

• Experience in mentoring, coaching, or training others to improve their skills and performance.
• Familiarity with data annotation, AI-related projects, or process improvement.
• The ability to thrive in a fast-paced environment where priorities and requirements can change quickly.
• Curiosity about AI tools and a willingness to experiment, learn from others, and share your own knowledge and practices.
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. We’re committed to openness — promoting equality and fostering an environment where different backgrounds, ideas, and experiences are not just accepted, but embraced. So let’s discover together whether we could be an excellent fit for each other.

Please send us your CV in English, and we'll be happy to discuss your application further.

We are looking for driven, motivated, fast-learning individuals who are eager to  start a  DevOps career, keen on knowledge, and aspire to automate and optimize everything. This is an excellent opportunity for you to work as part of a  skilled team and gain valuable experience in building, deploying, and operating a variety of  systems.

RESPONSIBILITIES

• Learn and stay up to date with new technologies and tools related to DevOps practice
• Provide high-quality, professional day-to-day execution of tasks
• Work closely with development team members to achieve goals

REQUIREMENTS

• Experience as a System Administrator, or  DevOps Engineer, or SRE
• Practical experience with Bash or Python scripting
• Knowledge of networking (routing, firewall, VPN)
• Understanding of the Linux operating system
• Knowledge of web and application servers such as Nginx and, Apache
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, etc.
• Basic experience with cloud providers such as AWS, GCP, and Azure
• Basic knowledge of K8s
• Basic knowledge of Terraform and Ansible
• Basic knowledge of Git
• Upper-Intermediate level of English
   

WOULD BE A PLUS: 

• Familiarity with software development life cycle (SDLC) and Agile principles
• Other DevOps skills

Ми шукаємо цілеспрямованих, мотивованих людей із бажанням навчатися новому, які прагнуть розпочати кар'єру в сфері DevOps. Це чудова можливість працювати в команді професіоналів і здобути цінний досвід у створенні, розгортанні та експлуатації різноманітних систем. 

ОБОВ’ЯЗКИ

• Вивчати та бути в курсі нових технологій та інструментів, пов'язаних з DevOps  
• Забезпечувати якісне, професійне виконання щоденних завдань
• Тісно співпрацювати з командою розробників для досягнення цілей
   

ВИМОГИ 

• Досвід роботи системним адміністратором, DevOps інженером або SRE  
• Практичний досвід написання скриптів на Bash або Python  
• Знання мережевих технологій (маршрутизація, брандмауер, VPN)  
• Знання операційної системи Linux   
• Знання вебсерверів і серверів додатків, таких як Nginx і Apache  
• Знання інструментів CI/CD, наприклад, Jenkins, GitLab CI тощо  
• Базові навички роботи з хмарними провайдерами, такими як AWS, GCP та Azure 
• Базові знання K8s 
• Базові знання Terraform та Ansible  
• Базові знання Git 
• Володіння англійською мовою на рівні Upper-Intermediate 
   

ПЕРЕВАГОЮ БУДЕ

• Розуміння життєвого циклу розробки програмного забезпечення та Agile принципів 
• Інші навички в сфері DevOps 

Job Description

• 5+ years of relevant software development experience, 1+ on a technical lead position.
• 3+ years of experience in Python
• 3+ years of hands-on experience with automation systems
• 1+ years of experience in some web framework (Fast API + React)
• Database development (MySQL, PostgreSQL, SQLAlchemy, Alembic, etc)
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven track record in leading and mentoring software development teams.
• Excellent problem-solving and debugging skills, with a focus on delivering efficient and effective solutions.
• Exceptional communication and collaboration skills, with the ability to work effectively with stakeholders, team members, and cross-functional teams.
• Project management skills, including the ability to set realistic timelines, manage resources, and prioritize tasks.
• Quality-focused mindset, with a commitment to delivering high-quality software through adherence to coding standards and testing practices.
• Adaptability and willingness to learn, keeping up-to-date with new technologies and industry advancements.
• Strong understanding of software engineering principles and data architecture.

Not limited to other tools experience, but we require desire and ability to learn new tools:

• CI/CD pipelines on both GitLab and Jenkins
• Observability (Grafana, Prometheus, Otel, etc)
• Automation Framework (pytest/unittest, playwright/cypress/selenium)
• Server administration (Linux, SSH, Docker, Kubernetes, etc)
• Cloud services (AWS, GCP, Azure)
• AI tooling in day-to-day work to boost self-productivity (IDE assistants)
• AI tools implementation, integration into existing services to boost user's productivity (Embedding, Vector Database, LangChain, etc)

Job Responsibilities

• Build innovative features for next generation tracking solution
• Determine the strategic tactical direction of the front-end architecture
• Participate in development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with program managers, marketing, designers, software engineers in tests to build and enhance the UI
  Innovate and create the best user experience online

Department/Project Description

Our Client is the leader of the US Broadcasting Market and one of the biggest companies on that is providing Broadcasting Media Entertainment to users on OTT.

Do you want to take part in interesting and diverse projects, work with the latest equipment, using advanced technologies, participate in the creation of unique devices that will be born right before your eyes? Then welcome to Ektos! We are looking for developers in our office located in Ivano-Frankivsk.

Who are we?

A Danish company that has been successfully operating since 2007 and is one of the leaders in the Embedded direction. And you can become one of us!

Key Responsibilities

• Define hardware architectures and detailed system specifications for analogue, digital, and mixed-signal circuits.
• Produce high-quality documentation that clearly describes and justifies hardware design choices in accordance with EKTOS quality procedures
• Perform electrical and thermal design calculations, simulations, and analyses.
• Design and validate power electronics, including AC/DC and DC/DC converters, battery charging systems, and battery-powered electronics.
• Conduct battery life estimation and energy consumption optimization for portable and low-power designs.
• Design and integrate RF circuits and antenna systems, including matching networks and 3rd-party antenna integration.
• Perform multilayer PCB layout, including HDI, flex, and flex-rigid board designs.
• Design high-speed PCB interfaces with a strong understanding of signal integrity validation.
• Apply EMC design principles, perform pre-compliance testing, and conduct EMC troubleshooting.
• Perform hardware bring-up, verification, and validation.
• Support the transition from prototype to mass production, including technical interaction with manufacturing.

Technical Competencies

• Advanced proficiency in analogue, digital, and mixed-signal electronics design, supported by strong analytical and simulation capabilities.
• Skilled in performing circuit- and temperature-level simulations and using industry-standard tools such as LTspice, PSpice, and Micro-Cap.
• A solid foundation in power electronics is essential, including experience with AC/DC and DC/DC converters, battery management systems, and battery-powered product design.
• Practical knowledge in RF design, encompassing antenna matching and  layout optimization for RF SoC and module-based systems (Wi-Fi, BLE, LoRa, GSM, LTE, NB-IoT, etc.).
• Proficiency in multilayer PCB design, including HDI, flex, and flex-rigid boards, is required, along with experience in creating production-ready PCB documentation.
• A comprehensive understanding of high-speed design principles—covering USB, Ethernet, DDR2/3, and HDMI interfaces—and of signal integrity and power integrity validation methods is expected.
• An in-depth understanding of EMC fundamentals, filtering, and shielding strategies, combined with hands-on experience in EMC pre-compliance testing and debugging, is essential.
• Proficient in the practical use of standard laboratory equipment such as oscilloscopes, logic analyzers, multimeters, signal generators, and spectrum analyzers.
• Strong prototype debugging, troubleshooting and repair skills.

General & Leadership Skills

• Experience in mentoring junior engineers.
• Ability to manage technical handovers, address customer issues, and support field troubleshooting.
• Skilled in task decomposition, time estimation, and proactive project communication.
• Upper-Intermediate or higher English proficiency (written and spoken).
• Proactive, self-correcting, and committed to continuous technical improvement through collaboration and hands-on experience.

Qualifications

• M.Sc. or B.Sc. in Electronics Engineering, Electrical Engineering, or related discipline.
• 7+ years of proven experience in hardware development.
• Expertise in full hardware development cycles from concept to production release.
• Familiarity with CE, FCC, EMC, and electrical safety certification standards.

About us and what we can offer:

• 24 working days of paid vacation;
• Paid sick leave;
• Complex lunches right in the office;
• Free English classes twice a week;
• Children's room with a teacher for children of company employees;
• Experienced colleagues willing to share knowledge;
• Regular performance and salary negotiations;
• Professional growth: variety of projects and technologies, mentoring;
• Corporate health insurance;
• Friendly atmosphere, concern for the comfort of specialists;
• Working trips to Denmark to exchange experience with colleagues (discussed individually);
• Ability to work in different projects, one or more at the same time;
• Easy rotation between projects;
• The office has a kitchen, shower, seating area;

ONLY 1−2 interviews (online and/or office)

EKTOS is a dynamically developing company that works with many different clients from all over the world in such areas as healthcare, finance, transport, agriculture, navigation, travel, banking, and many others.

We develop in C / C ++ for various microcontrollers and processors with and without an operating system and create ready-made working prototypes of devices with our departments.

Working at EKTOS will allow you to see projects from both hardware and software sides and get a high level of skill. We care about creating an informal, safe, and open environment in our offices and we offer a competitive salary.

Шукаємо Системного адміністратора у команду нашого партнера — компанії, яка розробляє високотехнологічні рішення у сфері безпеки та оборони.

Ви відповідатимете за безперебійну та безпечну роботу внутрішньої IT-інфраструктури, а також за підтримку серверної частини.

Обов'язки:

• Адміністрування Linux-серверів, мереж, VPN. Керування доступами, впровадження політик безпеки, налаштування систем резервного копіювання та аварійного відновлення.
• Моніторинг працездатності інфраструктури MQTT-брокерів та серверів, які забезпечують зв'язок із пристроями.
• Реагування на сповіщення першої лінії (Grafana/Prometheus), аналіз логів, первинне усунення несправностей та ескалація складних інфраструктурних завдань на DevOps-інженера.
• Технічна підтримка команди розробки. Допомога в міграції внутрішніх систем обліку та міжрегіональних інфраструктурних міграціях.

Вимоги до кандидата:

• 2+ роки комерційного досвіду в системному адмініструванні Linux (глибокі знання мереж, дозволів, служб та пошуку несправностей).
• Розуміння базових практик інформаційної безпеки, захисту мереж та керування доступами користувачів.
• Досвід одночасної підтримки як серверної інфраструктури, так і закриття щоденних IT-потреб команди.
• Системність, відповідальність та розуміння критичності безперебійної роботи систем.

Буде плюсом:

• Базове знання концепцій черг повідомлень (MQTT або аналогічні брокери).
• Впевнена навігація в середовищах Node.js та Python (запуск/зупинка сервісів, читання логів).
• Навички роботи з Grafana/Prometheus (налаштування панелей та сповіщень).
• Досвід роботи з хмарами (переважно GCP).
• Досвід адміністрування, підтримки чи міграції ERP-систем (Odoo, BAS тощо).

Пропонуємо:

• Офіційне працевлаштування та бронювання.
• Формат роботи: локально у Івано-Франківську.
• Професійний розвиток у команді.
• Сучасне робоче місце та комфортні умови праці.