Jobs at Djinni

Senior Backend Developer (Node.js)

About Us

We are a leading global provider of video and audio advertising technology, helping top brands reach their target audiences through innovative programmatic solutions. Our platform leverages cutting-edge technology to offer real-time optimization, fraud detection, and a wide range of advertising formats across various devices. We are committed to redefining the digital advertising landscape and empowering our partners with the tools they need to succeed.

Role Overview

As a Senior Backend Developer, you will play a pivotal role in technically designing, developing, and maintaining new and robust backend services. You will work closely with our product and technical project managers to deliver high-quality solutions that meet our users' needs. In addition to your technical skills, we are looking for a strong leader who can independently manage and drive projects to completion.

Responsibilities

• Design, develop, and maintain robust and scalable backend systems using Node.js.
• Collaborate with the product team to understand business requirements and translate them into technical specifications.
• Lead and manage projects independently from inception to completion.
• Demonstrate experience in successfully leading projects alone.
• Optimize application performance and scalability.
• Integrate with third-party APIs and services.
• Implement and maintain secure coding practices.
• Contribute to the development and maintenance of our CI/CD pipelines.
• Mentor junior developers and share your knowledge and expertise.

Qualifications

• A Bachelor's degree in Computer Science, Software Engineering, or a related field from a reputable university.
• 4-5 years of hands-on experience as a backend developer, with a strong focus on Node.js. 
• In-depth knowledge of MySQL and Redis.
• Proven understanding and practical experience with AWS services, including Lambda, RDS, and Load Balancers.
• Experience with Docker and Kubernetes (K8s) environments.
• Ability to write effective automated tests for backend services.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Proven ability to lead and manage projects independently.
• Excellent spoken and written English.

Bonus Points

• Knowledge of additional programming languages or frameworks. (NestJS, etc.)
• Contributions to open-source projects.

What We Offer

• Opportunities for professional growth and development.
• A collaborative and supportive work environment.
• The chance to be part of a dynamic and innovative company.

If you are a passionate and skilled Senior Backend Developer who is looking for a challenging and rewarding opportunity, we encourage you to apply.

We’re a growing team —  no overcomplicated processes. Just people building something big and moving fast. Our COO is looking for a right hand, an Operations Manager who will bring structure, speed, and clarity into the business.

This is your chance to be at the center of execution: not following a system, but helping create it. If you thrive in fast-moving environments where ownership is real and impact is visible, this role is for you.

What you’ll do

• Keep projects on track, unblock teams, and drive follow-ups.
• Turn data into crisp dashboards & one-pagers.
• Run meetings that matter — agendas, notes, action owners.
• Coordinate across teams & partners, keep everyone aligned.
• Build SOPs & playbooks so processes scale.
• Use AI/automation to boost efficiency.

You are

• 1+ year in ops/assistant/project roles (startup = plus).
• Detail-obsessed, structured, proactive.
• Confident English (B1+).
• Solid with Google Workspace/Excel.
   

What We Offer
 

• Competitive salary with quarterly growth opportunities based on performance
• 30 business days of paid time off
• Flexible working hours focused on results (no micro-management)
• Clear career progression paths in a fast-growing company
• Full support for professional development, training, and education

• A friendly and collaborative team culture built on mutual support and open communication

  
   

👉 Not just an ops job. A launchpad.

About Us

We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.
Our client is a pioneering startup that has revolutionized data management with an advanced Excel-like solution, making information input as simple as a single click. Forget mastering endless functions—this program has it all in one place. With fantastic opportunities for candidates, including the chance to work with cutting-edge technology, grow within a fast-paced, innovation-driven team, and contribute to a product that’s making a real impact. Established over six years ago and recognized as one of Israel’s top startups, this company offers a dynamic environment where your skills and ideas can truly shine.

Key Requirements:
🔹 Bachelors degree in Computer Science or related field;
🔹 5+ years of experience in software development in a SaaS company;
🔹 Fluent in Python (Django);
🔹 Excellent knowledge and experience with building, optimizing, and maintaining large-scale production systems;
🔹 Experience with writing unit tests and integration tests;
🔹 Experience with Relational DBs (Postgres, MSSQL);
🔹 Experience and familiarity with Cloud Architecture and services;
🔹 English – Upper-Intermediate or higher;

Will be plus:

🔹 Familiarity with Azure;
🔹 Knowledge of RabbitMQ;
🔹 Knowledge of Celery;
🔹 Knowledge of Redis;
🔹 Knowledge of Excel Add-Ins.

What you will do:

🔹 Take part in developing the backend of the SAAS application;
🔹 Develop and lead end-to-end development of new features and services in a multi-service environment while maintaining high quality and standards;
🔹 Develop scalable web APIs, implement sophisticated business logic, and develop asynchronous services in a data-oriented, scalable application;
🔹 Take part in a multidisciplinary team involving algorithms/frontend/UI/DevOps;
🔹 Play a significant role in the entire development life-cycle, from design to production.

Interview stages:

🔹 HR Interview;
🔹 Tech interview with Team Lead;
🔹 Interview with PM;
🔹 Interview with VP R&D (optional);
🔹 Reference check;
🔹 Offer.

Why Join Us?

🔹 Be part of a friendly international team, working together on interesting global projects;
🔹 Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
🔹 Join a team that loves fresh ideas and supports creativity and new solutions;
🔹 Work closely with clients, building great communication skills and learning directly from their needs;
🔹 Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.

PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products. We provide certification and licensing of our products, providing customers and partners of the holding with high-quality and reliable solutions.

We are looking for a Business Analyst to join our team!

Requirements:

- 2+ years of experience as a Business Analyst, Systems Analyst;

- Strong analytical and problem-solving skills to understand complex business processes, identify issues, and propose effective solutions;

- Excellent written and verbal communication skills to interact with stakeholders and to transfer received information to the developer team;

- Ability to elicit, document, and manage functional and non-functional requirements;

- Possession of a structured, process and result-oriented approach, a practical way to solve problems;

- Good understanding of the Software Development Life Cycle (SDLC);

- The flexibility to adapt to changing business environments and priorities, as well as to learn new tools and technologies;

- English Upper Intermediate level.

Responsibilities:

- Interaction with key stakeholders to gather and analyze business requirements, consulting them on opportunities and risks, describe use cases;
- Analysis of the elicited requirements and expectations and creation of requirements specifications (in the form of a user story, use cases);
- Creation and maintenance of documentation in areas of responsibility (requirements specifications, user manual, maintenance manual, etc.);
- Review and approve the user stories in collaboration with project managers and key technical specialists;
- Presentation of the user stories to the team, their clarification of incomprehensible and controversial points, and their updating and change as a result of discussion with the team;
- Interaction with QAs while preparing the test cases and testing product;
- Ownership and detailed understanding of the features and functions of products and applications from the area of ​​responsibility. This knowledge is used to identify opportunities and threats for new requirements;
- Sharing of knowledge and information with other departments of the company for the expansion and usage of advanced approaches and technologies.

What are the conditions and bonuses?

☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development Architecture, Management, Operations, Marketing, Legal, Finance and more;
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
📍Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;
🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided;
🏖Paid vacations, sick leave, personal events days, days off;
👨🏻‍⚕️Corporate health insurance program for your well-being;
💵Referral program enjoy cooperation with your colleagues and get the bonus;
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
🎯Rewards program for mentoring and coaching colleagues;
🗣Free internal English courses;
🧘Yoga classes to help you stay active and energized;
✈️In-house Travel Service;
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers, special office days dedicated to holidays;
🎳Company events, team buildings.

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment

Who We Are:

An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 600+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.
 

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

We are looking for a Linkbuilder to join our team.
 

Job Description

• Analyze competitors' backlinks and off-page strategies;
• Research and evaluate donor websites using SEO tools based on given criteria;
• Find contacts, send outreach emails, and communicate with webmasters to discuss publication terms;
• Maintain and update the domain database;
• Monitor link placement, quality, indexing, and effectiveness using linkchecker.pro;
• Content creation with ChatGPT or task setting for content managers;
• Participate in team meetings and prepare weekly/monthly project reports;
• Take part in testing new hypotheses.
   

Qualifications

• 1+ year in link building (experience in iGaming will be a strong plus);
• Experience with email marketing tools (Hunter.io, FindThatLead, etc.);
• Proficiency in Ahrefs, Similarweb, and other SEO platforms;
• Experience with link exchanges (Rotapost, Prposting, Whitepress, etc.);
• Knowledge of Google Spreadsheets (ability to use filters, conditional formatting, formulas);
• Checking the indexing of posted links, tracking posted links;
• Language: Ukrainian native, English B1
   

Additional Information

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

We are seeking an experienced Senior/Middle Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and personally train LLMs with a strong focus on Reinforcement Learning from Human Feedback (RLHF). 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. The benchmarks and feedback loops you own serve as the contract for quality—gating releases, catching regressions before users do, and enabling compliant, trustworthy features to ship with confidence.

What you will do

• Analyze benchmarking datasets, define gaps, and design, implement, and maintain a comprehensive benchmarking framework for the Ukrainian language.
• Research and integrate state-of-the-art evaluation metrics for factual accuracy, reasoning, language fluency, safety, and alignment.
• Design and maintain testing frameworks to detect hallucinations, biases, and other failure modes in LLM outputs.
• Develop pipelines for synthetic data generation and adversarial example creation to challenge the model’s robustness.
• Collaborate with human annotators, linguists, and domain experts to define evaluation tasks and collect high-quality feedback.
• Develop tools and processes for continuous evaluation during model pre-training, fine-tuning, and deployment.
• Research and develop best practices and novel techniques in LLM training pipelines.
• Analyze benchmarking results to identify model strengths, weaknesses, and improvement opportunities.
• Work closely with other data scientists to align training and evaluation pipelines.
• Document methodologies and share insights with internal teams.

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 machine learning model evaluation and/or NLP benchmarking.
• 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.
• Solid understanding of RLHF concepts and related techniques (preference modeling, reward modeling, reinforcement learning).
• Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:

• Solid understanding of data analytics and statistics.
• Experience creating and managing test datasets, including annotation and labeling processes.
• 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.

A plus would be

Advanced NLP/ML Techniques:

• Prior work on LLM safety, fairness, and bias mitigation.
• 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 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 for everyone (annual or quarterly — depends on the role).
• 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.

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 searching for a specialist for the position of System Administrator for our local IT helpdesk and support team.

Technology stack

Operating Systems: Microsoft Windows, macOS, Linux
Network Technologies: AD, DNS, DHCP, NAT, VPN, VLAN, Group Policies

Responsibilities

• Configure and deploy hardware and software for new employees
• Ensure seamless connectivity and troubleshoot network issues
• Set up printers, scanners, and other peripherals
• Monitor system performance and promptly address any disruptions
• Provide efficient technical support to end-users, troubleshooting issues and answering queries
• Maintain accurate records of system configurations and changes
• Regularly update software, perform backups, and manage incidents
• Implement security measures and adhere to industry standards

Requirements

• Excellent understanding of hardware and software troubleshooting
• Familiarity with Windows Server and desktop operating systems
• Strong understanding of Active Directory (AD), DNS, DHCP, NAT, VPN, VLAN, and Group Policies
• Comfortable working with Windows, macOS, and Linux
• Effective communication with internal customers and colleagues
• Initiative, ability to multitask, and desire to collaborate
• Excellent verbal and written communication skills

Nice to have

• Experience with VMware ESXi
• Proficiency in PowerShell scripts for task automation
• Experience managing Windows Servers
• Managing access rights and File Server service quotas
• Experience with Zabbix and Syslog
• CCNA, MCSA, or other relevant vendor certifications are highly valued

We offer

Vacation

20 paid days

Health insurance

We help you to take out an insurance policy for you and your loved ones

Sick pay

10 days without a doctor's note, afterwards - with the document

Time off for state holidays

According to the official calendar

Pleasant environment

Comfort service

Solving technical and everyday problems at work

We are seeking an experienced Senior/Middle Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines and actively develop model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of our models by ensuring we feed them the highest-quality, most relevant data possible. The datasets you build directly determine model capability, safety, and cost, raising downstream task accuracy, reducing training waste, and accelerating time-to-market for product teams.

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.
• Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
• Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
• Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
• Collaborate with data engineers to hand over prototypes for automation and scaling.
• Research and develop best practices and novel techniques in LLM training pipelines.
• Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
• Research and implement best practices in large-scale dataset creation for AI/ML models.
• Document methodologies and share insights with internal teams.

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 data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
• 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, and data requirements.

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 & Personality:

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

A plus would be

Advanced NLP/ML Techniques:

• Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
• Understanding of FineWeb2 or a similar processing pipeline approach

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)

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.

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.

DOOR3 is seeking Senior React/SharePoint Engineers to contribute to the development of enterprise-grade SharePoint intranet solutions. You will work on building custom site experiences, dynamic webparts, and integrating third-party services into scalable digital workplaces based on SharePoint and a specialized customization layer on top of it.

Location: remote from Europe.

Allocation: could be full-time or part-time, depending on your availability.

Essential Job Duties:

• Work directly on a Web application development team to produce best in class production using Front-End Technologies
• Develop within MVC frameworks such as ReactJS
• Administration of SharePoint sites
• Drive key strategic ideas regarding page performance
• Working directly with our UX designers, back-end developers and clients to implement cutting-edge experiences across a variety of presentation technologies.
• Working flexibly in an Agile development environment: must be able to keep pace with the development team and adapt to changing requirements

Required Skills and Experiences:

• Expert working knowledge of HTML and CSS, including preprocessors like SASS
• Expert knowledge of ReactJS and TypeScript
• Experience with Javascript Task Runners (Gulp)
• Experience with SharePoint framework (SPFx)
• Experience with Fluent UI
• Should be well versed with code optimization techniques
• Excellent written and verbal communication skills

Preferred Qualifications:

• Experience working with JS frameworks like VueJS, Handlebars
• Experience working with PnP JS
• Experience leading a team or mentoring
• Passion for writing clean, efficient code
• Ability to manage changing priorities, solve unfamiliar problems, and meet deadlines

You Are

• A problem-solver who thrives in collaborative and evolving environments
• Comfortable working independently or as part of a distributed team, mentoring other engineers
• Able to communicate effectively with technical and non-technical stakeholders
• Passionate about clean, maintainable, and well-documented code
• At least Intermediate/B2 English across all four skills

Join DOOR3 to help us build elegant, extensible digital workplaces that transform how teams connect and collaborate. If you're excited to deliver high-quality SharePoint solutions using cutting-edge tools, we want to hear from you.

About the role

We are building a revolutionary system at the frontier of technology and AI.

As a Software Engineer, you won’t just write code — you will shape the future of how apps are built. You’ll be part of the early execution engine—shipping core capabilities, refining the experience, and elevating reliability. Expect tight loops, clear ownership, and visible impact. You will engage directly with first clients, adapt the platform to their needs, and set the stage for the next generation of software creation.

What we’re looking for

We want someone who doesn’t just “fit the role” but defines it:

• Open-minded explorer — ready to try bold ideas, new approaches, and cutting-edge tools.
• Hacker mindset & problem solver — able to connect the dots across complex systems and find elegant solutions.
• Analytical & resilient — thrives in debugging intricate, interconnected architectures.
• Startup speed enthusiast — comfortable hacking fast, shipping early, learning from feedback, and polishing later.
• Experienced in Cursor or Claude Code.
• Passionate about vibe-coding  — turning AI into your engineering team-mate.
• Natural leader — with the drive to inspire and guide people.

Why join us?

• Be among the first engineers driving a bold, world-changing vision.
• Work at the bleeding edge of technology and AI, where experimentation is not just allowed but expected.
• Direct influence on product.
• A chance to build something that reshapes how things get done in today’s world.
• A team that values curiosity, creativity, and the pure joy of hacking together the future.

This isn’t just another job. This is your chance to engineer the future of software itself.

Technical stack

Core technologies:

• TypeScript, React.js, Next.js
• ClickHouse, PostgreSQL, Redis
• Docker / Kubernetes
• Kafka
• Supabase, Inngest, Posthog

Nice to have:

• Vue.js
• Python
• Go
• Ruby

Hiring Process

Stage 1: Interview with HR (1h).
Stage 2: Technical assignment.
Stage 3: Interview with VP of Engineering.
Stage 4: Interview with the team.

What we offer for your success

• Very warm and friendly working environment and flexible working schedule.
• 20 days off + paid national holidays, and 12 sick days paid by the company per year.
• Medical insurance, and health protection programs (with COVID-19 and dental coverage).
• Continuous professional development and growth opportunities.

We're looking for a Creative Strategist with strong domain expertise in mobile gaming and digital performance creative to lead the strategic direction of our ad creative efforts. This person will serve as a trusted advisor across teams, owning the strategic thinking, research, ideation, and delivery planning that powers our best-performing ad content.

You’ll collaborate closely with Product, Creative Teams, and Customer Success to shape our high-performing video ads strategy.

Key Responsibilities

Strategic Ownership & Cross-Team Collaboration

• Act as a creative and domain expert—advise on best practices, drive creative solutions, and lead innovation.
• Work closely with Product, CS, and Creative Leads to define strategies, priorities, and development plans
• Provide creative and strategic input for PRDs (Product Requirement Documents), driven by insights and analytics

Market Research & Insights

• Conduct ongoing market research and competitive analysis to stay on top of trends
• Translate insights into actionable concepts and ideas across multiple game genres and formats
• Deliver trend analysis and domain insights to inform internal decisions and innovation

Performance-Focused Execution & Guidance

• Approve and guide initial deliveries—ensuring strong strategy alignment and meeting client requirements
• Evaluate concepts based on performance potential and data, rather than subjective preferences
• Approach every challenge and opportunity—with creative solutions and a proactive mindset and ownership
• Lead ideation sessions for new creative directions and campaigns, driven by objective thinking and aligned with data and performance goals
• Manage multiple projects and priorities with autonomy, ownership, and clarity

Qualifications

• 5–7 years of proven experience in creative strategy or user acquisition within the mobile gaming or creative marketing performance
• Deep domain knowledge of mobile gaming and creative content for performance marketing
• Proficiency in English—you’ll write, present, and collaborate globally
• Ability to juggle multiple projects and drive each forward with strategic clarity
• Strong communication and collaboration skills—you work well with Creative, Product, and CS
• A confident, self-sufficient thinker and doer—you take ownership and move things forward

• A true problem-solver with the creative intuition and fluent in data analysis

   

The Role

• A dedicated expert in mobile gaming ad strategy, with deep knowledge of game mechanics, player psychology, and performance marketing data.
• A strategic thinker who bridges insights across Product, Creative, and Customer Success.
• An independent advisor whose sole focus is to reflect what’s needed based on data—rather than speculations or subjective opinions.
• A single point of ownership for data-driven creative direction, ensuring all concepts are on-brand and optimized for performance.
• Drives cross-team alignment on ad strategy, trend insights, and campaign roadmaps, especially for new games.
• Translates performance data into the creative process: leads ideation sessions, reviews first videos, and keeps the ad pipeline cutting-edge and player-focused.
• Advises on creative tools, skills, or assets based on new game needs or market trends.

• Supports existing games with all of the above when there are clear struggles—primary focus will be on onboarding new games.

   

Responsibilities

Strategy & Ideation

• Provide insights to support PRD creation and sync with Product teams to align on features and dev goals.
• Build strategic roadmaps for new games—from first deliveries through the first month—to ensure impactful onboarding.
• Lead ideation and brainstorming sessions to generate fresh, audience-tailored ad concepts.
• Review and approve first video ads, ensuring they align with strategic and performance goals.
• Ideate the first concept rounds, then guide Creative Leads on future ideations and support the creative direction of initial deliveries.

Market Trends & Insights

• Analyze key metrics (CTR, CPI, ROAS) and recommend optimizations or new test directions based on performance.
• Share insights with stakeholders (CS and Creative) to empower better decision-making. Act as a trusted advisor and knowledge hub.
• Ensure new game strategies and roadmaps are data-driven—not assumption-based.
• Share lessons learned and best practices across the Astra team.
• Advise clients strategically when high-level input is needed.

Improvement & Innovation

• Continuously seek out tools or techniques that can improve video quality and efficiency.
• Creative strategies and decision-making will be tied to KPIs to ensure ongoing growth and accountability.
• Identify negative trends in performance and build a strategic plan to reverse them.

Main Efforts

• New games
• Bad performance
• Categories / genres

Actual Work Overview

• Definitions For Development - Identify key game features from Sales and research, and define them for the PRD.
• Roadmaps Collaboration - Help the CS team create and update ad rollout plan for each game, from the first videos to long-term performance strategy.
• Creative Strategy Sessions - Lead frequent strategic thinking sessions with team leads to align on creative direction, campaign goals, and industry-level market trends.
• Ideation Optimization -
  • Ideation Knowledge Hub - Serve as the go-to expert on ideation techniques, advising Creative Leads and CS on best practices.
  • Cross-Project Learning - Capture lessons learned from each campaign and share insights to continually refine our brainstorming processes.

• New Games Strategy & Approval -

  For the first three deliveries: performance alignment video, 1st and 2nd deliveries:

  • Define the creative approach in collaboration with stakeholders - CS.
  • Ideate concepts in collaboration with stakeholders - Team Leads.
  • Participate in the approval process for all three deliveries.
  • Participate in performance alignment sessions with the client to ensure strategic and creative alignment.
• Analyze underperforming creatives - review samples, identify issues, and provide recommendations.
• Creative Insights - Continuously research market trends and competitor strategies to suggest ideas for creative improvement.
• Act as an expert in client sessions - Present new creative approaches and clearly explain the rationale behind them.
• Explore Capabilities - Continuously search for new concepts, strategies, and ideas to strengthen our exploration and innovation efforts.
• Cross-Functional Documentation - Maintain a centralized playbook of best practices, ideation techniques, and creative templates to support the Astra team and improve efficiency
• Advice on Tool & Innovation- Suggest new tools, techniques, or AI hacks to speed up production and raise quality.

Dataforest is looking for a DevOps Engineer eager to grow professionally and work on international projects. You will support and improve infrastructure, set up CI/CD processes, and collaborate closely with the client team.

     Requirements:

• 2+ years of experience as a DevOps;
• Experience with SQL and database configuration;
• Solid understanding of Linux/Unix;
• Hands-on experience with Python (deployments, scripting, automation);
• Experience with version control systems (Git, Bitbucket);
• Basic knowledge of AWS Cloud;
• Familiarity with CI/CD processes (Github Actions, Jenkins or similar);
• Understanding of containerization (Docker, Kubernetes);
• Basic knowledge of Nginx;

• English — Intermediate or higher.

   

  Nice to have:

• Experience with Airflow;

• Experience with ETL pipelines.

   

  Key responsibilities:

• Cover the DevOps needs of a dev team;
• Support existing environments in both on-prem and cloud;
• Detect existing product infrastructure issues and vulnerabilities;
• Build ETL procedures;

• Implement best practices and standards for development.

   

  We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious, and well-equipped office in the city center;
• Team building activities, corporate events.

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

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an experienced Senior/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, and actively developing model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of the models by ensuring we feed them the highest-quality, most relevant data possible.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
- 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.
Communication & Personality:
- 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

Nice to have:
Advanced NLP/ML Techniques:
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Understanding of FineWeb2 or similar processing pipelines approach.
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 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 the 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.

Responsibilities:
- 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.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
- Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
- Collaborate with data engineers to hand over prototypes for automation and scaling.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
- Research and implement best practices in large-scale dataset creation for AI/ML models.
- Document methodologies and share insights with internal teams.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

Requirements:
- 1+ years of experience in affiliate marketing or performance media buying (Gambling vertical is a must);
- Proven experience working with paid traffic sources, especially PPC (Google Ads) and Facebook Ads;
- Experience expanding and closing strategic deals with gambling brands;
- Knowledge of the main sources and specifics of various types of traffic and their effectiveness;
- Experience working with different geos, EU must;
- Familiarity with various pricing models: CPA, CPL, RevShare, Hybrid, Agency (Budget);
- Experience working both from the affiliate side and the brand/operator side is a strong advantage
- Upper Intermediate level of English;
- Accountable, initiative, proactive, strong communication skills,
- Atrong negotiation skills, problem solving skills, strategic thinking, analytical skills,
- Ability to endear himself/herself; presentability;

Responsibilities:
- Proactively seeks and onboards new partners and brands;
- Analyzes market competitors on a regular basis (websites, keywords, etc.) and suggests a plan of necessary actions to stay competitive;
- Negotiates mutually beneficial deals with partners and cultivate strong, lasting relationships;
- Generates and presents comprehensive reports with key strategic data to senior stakeholders;
- Implements initiatives to boost traffics growth, explore new growth opportunities, and enhance ROI;
- Continuously optimizes existing partnerships;
- Analyzes results and quality of traffic for further optimization of cooperation model with brands/partners;
- Develops and negotiates contracts, integrating their requirements into business operations;
- Coordinates closely with the Integration Manager and technical team to ensure smooth setup and tracking accuracy;
- Monitors campaign performance and rotates offers based on signals from analysts and market trends to maximize ROI and user engagement
- Represents the company at events and exhibitions;
- Ensures that weekly/monthly/quarterly KPIs are met and achieved;
- Mentors less experienced colleagues on demand;
- Maintains and shares professional knowledge within the team.

We Offer:
- Work in a professional team with transparent processes
- possibility of remote work;
- paid vacation — 21 working days;
- annual salary review;
- opportunity for career growth within the company.

Genesis is a full-cycle international product ІТ-company. More than 3000 people in 8 countries create products for 400 million users monthly. We are the most high-loaded company in the country and one of the largest partners of Facebook, Google, Snapchat, and Apple in the CEE region.

Our mission is to transform Ukraine from an outsourcing state into a product state by building the largest product portfolio.

Our team is looking for an ambitious Senior PPC Manager to run large-scale advertising for a futuristic, fast-growing AI web application that has already successfully launched at Tier-1.

You will have the opportunity to lead the Google Ads team and create an effective traffic acquisition strategy from scratch, ensure positive profitability, and develop a system to scale quickly and sustainably to multi-million dollar budgets. 

About you:

• At least 4 years of experience as a PPC Specialist with excellent knowledge of Google Ads.
• Experience in dating or adult niches is must.
• Successful experience in running search campaigns, optimizing search traffic.
• Understanding of the levers of influence on marketing metrics: CTR, CPC, CPA.
• English is not lower than Upper-Intermediate.
• Strong analytical skills and ability to make data-driven decisions.

What you will do:

• Launching and optimizing Google Ads campaigns and scaling them to achieve KPIs.
• Searching for growth points and optimizing advertising campaigns, including working with semantics and creating ads.
• Creating analytical reports on the performance of the advertising platform and product.
• Development and implementation of a product promotion strategy on the Google platform.
• Analysis of user behavior patterns from different traffic channels and interaction with the product.
• Generating and testing hypotheses, finding new approaches to traffic optimization.

What we offer:

• Services of a corporate doctor, and after the probationary period — health insurance in Ukraine.
• 20 working days of paid vacation per year, unlimited sick leave.
• All equipment necessary for work.
• Access to top-tier courses, corporate online meetups, lectures, a comprehensive library, and 11 professional internal communities for career development.
• Comfortable offices in Kyiv’s Podil district with secure shelters. In the offices, you don’t have to worry about the routine: breakfasts, lunches, lots of snacks and fruits, lounges, massages and other benefits of office life are waiting for you 🙂

Join us!