Jobs at Djinni

As a Hardware Engineer, you will contribute to the development of the most advanced electronic equipment used in the UAV application area. There’s an opportunity to join the exceptionally skilled cross- functional team capable of creating advanced system-level solutions from scratch.

Responsibilities:

— participation in product and prototype development;
— design, develop, and review PCBs and their sub-components;
— drive resolution of different technical issues, including those related to architecture (performance, power consumption, thermal behavior), production (quality, manufacturing), and development (schematic design and review, PCB layout, and overall system integration);
— research on hardware components that could be used to solve business problems;
— documenting technical solutions;
— generating PCB manufacturing documents;
— be responsible for the entire HW product development lifecycle.

Skills & Experience:

— solid understanding of principles of analog/digital electronics;
— able to design the complex PCB projects;
— understanding of the full device manufacturing cycle;
— hands-on experience with lab measurements with modern equipment;
— knowledge of EMI/ESD protection principles;
— experience with modern simulation tools;
— experience with Altium Designer/KiCAD;
— strong debugging and troubleshooting abilities, analytical skills;
— intermediate level of technical English.

Nice to have:

— understanding of RF design;
— high-speed digital circuits design;
— PCB development with FPGA.

This position offers a unique opportunity to work in a high-tech team that develops innovative solutions and directly influence the future of the industry. Want to learn more about this role? Submit your application and we’ll be in touch to discuss the next steps!

• Modernization as a Service (MaaS) is a horizontal practice, supporting all business verticals in the company.
  
  Core Engineering Lead responsibility: owns the end-to-end engineering process across all account projects. This is the single person accountable for technical outcomes on the account.

• Responsibilities:

  What Engineering Lead does:
  
  Owns technical risk management across all projects. Ensures critical activities are not delayed or skipped: load and performance testing is planned and executed on time, key integrations are verified early, security reviews are conducted, and infrastructure capacity is validated before major releases
  Reviews project roadmaps, WBS, and technical estimates prepared by Solution Architects. Challenges assumptions and identifies gaps
  Acts as the technical escalation point for all functional leads and architects
  Defines and enforces engineering standards across all projects: code review policy, CI/CD practices, branching strategy, documentation standards, Definition of Done from a technical perspective
  Runs Architecture Review Board (ARB). Reviews and approves key architectural decisions, ensures consistency across projects. Reviews all Solution Architect artifacts: HLD, LLD, integration specs, ADRs. Ensures quality and consistency
  Reviews test strategy and works with QA Leads to improve it. Helps QA Leads strengthen areas where they fall short
  Coaches and mentors functional leads and architects. Helps leads strengthen areas where they fall short
  Steps in and covers responsibilities of leads or architects when they are underperforming: reviews their deliverables, takes over critical tasks, and works hands-on until the gap is closed
  Monitors technical debt across all projects, prioritizes remediation with PMs
  Drives cross-project reuse: shared libraries, common patterns, lessons learned
  Provides Delivery Manager with an independent technical health assessment. Flags risks early
  Participates in goal-setting and performance reviews for all technical roles, bringing the engineering quality perspective
  Owns the account's technical strategy: technology direction, competency roadmap, tooling decisions
  Interviews lead and architect candidates for their projects and makes hiring decisions
  What Engineering Lead does NOT do:
  
  Does not replace Solution Architect on any project.
  Does not manage project scope, budget, or schedule.
  Does not write code on a daily basis. This is not a hands-on developer role

   

• Mandatory Skills Description:

  - 10+ years in software engineering, with at least 3-5 years in a technical leadership role (Solution Architect, Tech Lead, Engineering Manager, or similar)

  - Candidates should be ready to work until 8pm CET.
  - Very strong hands-on experience in the past
  - Has led technical delivery on large engagements: 30+ people, multiple concurrent workstreams
  - Has worked across the full stack of project roles: started as a developer, grew into a lead, then into an architect or engineering manager. Understands each role from the inside
  - Experience in a consulting/outsourcing delivery model is strongly preferred. Understands client dynamics, onshore/offshore coordination, and delivery pressure
  - Has managed or closely supervised architects and functional leads, not just developers

   

• Nice-to-Have Skills Description:

  Java, Python, C#

• Languages:
  • English: C1 Advanced

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev, founder of Veeam, and Vlad Voskresensky, founder of Revenue Grid. 

We are building agentic sales automation for the post-CRM era. Our AI-native product combines structured and unstructured data, LLM-powered workflows, and agentic automation to help sales teams prioritize effectively, work more efficiently, and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core product team and looking for people who want to shape a new product category and have a direct impact on user experience, product logic, and speed of delivery. 

About the role 

We are looking for a Lead UX Designer with deep expertise in complex B2B SaaS or enterprise products. 

This is a hands-on Product / UX Design role with strong ownership over the core product UX: structure, information architecture, user journeys, and global interaction models. 

You will work closely with Product Owner, Business Analysts, AI specialists, and engineers to turn complex sales processes, data, and AI capabilities into intuitive, practical, and trustworthy product experiences. 

We are looking for someone who can take an ambiguous product challenge, understand the underlying user and business needs, propose a clear solution, and move it from early concept to production. 

What you will do 

• Design end-to-end user journeys for an AI-native B2B SaaS product.  
• Translate complex business processes, data, and AI behavior into clear and intuitive product experiences.  
• Create user flows, wireframes, interactive prototypes, and production-ready designs in Figma.  
• Design conversational, agentic, and AI-assisted interactions that help users understand, control, and trust AI-generated outcomes.  
• Drive features forward in tight alignment with the team, from initial concept definition to production release. 
• Conduct user interviews, usability testing, and product discovery with customers.  
• Validate design hypotheses and iterate based on user feedback, product data, and business priorities.  
• Contribute to the product’s information architecture, interaction patterns, UX principles, and design system.  
• Drive user experience excellence across the product.  

What we are looking for 

• 5+ years of experience in Product Design, UX Design, or Interaction Design.  
• Strong experience designing complex B2B SaaS or enterprise products.  
• A portfolio demonstrating end-to-end ownership of complex product workflows, not only polished UI screens.  
• Strong skills in information architecture, interaction design, prototyping, and usability testing.  
• Advanced proficiency in Figma, including components, libraries, and design systems.  
• Ability to simplify complex systems, data, and business processes without losing essential context.  
• Ability to explain design decisions clearly and support them with user needs, product logic, and evidence.  
• English: B2 or higher.  
• High ownership, independence, pragmatism, and product mindset.  

Nice to have 

• Experience designing AI-native, GenAI, Copilot, or conversational products.  
• Understanding of LLM behavior, agentic workflows, and human–AI interaction patterns.  
• Experience with CRM, sales automation, revenue intelligence, workflow automation, or other data-heavy products.  
• Experience working in an early-stage startup or building a product from an early stage.  
• Knowledge of accessibility standards and responsive design.  
• Experience using product analytics and behavioral data to improve UX.  

To make expectations clear 

This role is best suited for candidates whose recent experience includes hands-on UX/Product Design for complex B2B SaaS or enterprise products. 

It may be less relevant if your experience has mainly been focused on mobile apps, marketing websites, branding, UI execution, classic Product Owner / Business Analyst / Delivery responsibilities, or many short agency projects without deep ownership of complex product workflows. 

What we offer 

• Remote-first setup.  
• Flexible schedule aligned with European time zones.  
• Unlimited paid vacation.  
• Company-paid subscriptions to the professional tools and software you need for your work.  
• A core product role in an AI-native company.  
• Direct collaboration with founders, product leaders, and engineers.  
• Direct influence on the product vision, UX principles, and design system.  
• Real ownership and visible impact on how customers experience the product.  
• An opportunity to help define a new generation of sales software.  

If you enjoy turning complex workflows and emerging AI capabilities into simple, useful, and trustworthy product experiences, we’d love to talk. 

Job Description

• Possess 3-4 years of comprehensive experience in full-stack software engineering, specifically designing and building robust enterprise applications within a professional development environment.
• This role operates under a fully remote work model, requiring the ability to effectively collaborate with distributed teams and manage tasks independently from a designated home office environment.

Required Skills:

• Demonstrated strong hands-on proficiency and extensive experience in developing and implementing solutions using the .NET framework, including advanced features and best practices.
• Mandatory expertise in designing, building, and maintaining web applications and services with ASP.NET, showcasing advanced capabilities in its various components and architectures.

Preferred Skills:

• Possess a solid working knowledge and practical experience with React, enabling the development of interactive and responsive user interfaces.
• Familiarity with TypeScript is preferred, demonstrating an understanding of its benefits for scalable and maintainable JavaScript applications.

Job Responsibilities

About the Role
We are seeking a Mid to Senior .NET Developer to help build, scale, and secure enterprise-grade healthcare applications. In this role, you will work across the full stack to design resilient back-end services, optimize relational databases, and deliver high-impact features that protect medical data and streamline healthcare operations.

You’ll thrive here if you enjoy solving complex architectural challenges in an Agile environment, championing automated testing, and collaborating across engineering, product, and UX teams.

Key Responsibilities
Core Development: Build and maintain high-availability web applications and microservices using C# and modern .NET frameworks.

Full-Stack Execution: Implement front-end components and integrate back-end APIs, ensuring seamless functionality across the entire application stack.

1. Performance & Scale: Enhance existing enterprise systems to improve throughput, scalability, and reliability for large-scale healthcare clients.
2. Database Optimization: Design, maintain, and optimize relational database schemas and complex queries to handle sensitive data efficiently.
3. Quality & Testing: Ensure enterprise-level software quality through automated unit/integration testing and active participation in peer code reviews.
4. Agile Architecture: Analyze technical requirements and design scalable software solutions within a fast-paced Agile framework.
5. DevOps Integration: Contribute to continuous integration and continuous deployment (CI/CD) pipelines and support DevOps best practices.
6. Troubleshooting: Diagnose and resolve complex technical issues across the stack to maintain optimal system performance.
7. What You Bring (Requirements)
   Experience: 3+ years (Mid) or 5+ years (Senior) of commercial software development experience using C# and .NET (.NET Core / .NET 6+).

• Database Mastery: Strong proficiency with relational databases (e.g., SQL Server, PostgreSQL), schema design, and query performance tuning.
• Architecture & Patterns: Solid understanding of Object-Oriented Programming (OOP), RESTful APIs, and scalable software architecture.
• Quality Focus: Demonstrated commitment to writing clean, maintainable code backed by automated testing.
• DevOps Awareness: Hands-on experience or familiarity with CI/CD pipelines, modern deployment strategies, and full-stack troubleshooting.
• Collaborative Mindset: Strong communication skills with experience working alongside QA, Product Management, and UX specialists.
• Nice-to-Haves
• Modern Front-End: Hands-on experience with React and TypeScript.

Domain Knowledge: Prior experience in healthtech, medical data security, HIPAA compliance, or high-security enterprise environments.

Cloud Architecture: Familiarity with AWS, Azure, or containerized environments (Docker/Kubernetes).

Department/Project Description

We are a leading healthtech solutions provider specializing in medical data security, risk mitigation, and administrative efficiency. Our proprietary platforms address critical compliance and security vulnerabilities faced by healthcare organizations worldwide. By leveraging innovative technologies for patient record linkage and identity verification, we empower healthcare systems to protect patient trust, reduce operational risk, and deliver seamless, secure services.

Streamline develops an AI-powered supply chain planning platform used by more than 2,000 companies worldwide. It is a mature product with complex planning logic, AI capabilities and many technical challenges where better solutions can still be found.

We are looking for a Trainee Manual QA Engineer to join our team and help maintain the high quality of our web product.

💡 Strong analytical thinking and the ability to solve complex problems are important to us. If you have participated in mathematics olympiads, programming competitions or similar contests, be sure to tell us—this experience may be a significant advantage.

 

What we expect:

• English at the B1 level or higher.
• Basic understanding of version control systems, particularly Git.
• Knowledge of HTTP request methods and status codes, including how they work in web applications.
• Practical experience with browser developer tools, particularly Chrome DevTools.
• Strong understanding of the software development life cycle (SDLC).
• Experience testing APIs with Postman, Insomnia or similar tools.
• A completed technical degree in Computer Science, Engineering, Mathematics or a related field is required.

It will be a plus if you have:

• Experience with test management tools such as TestRail or Qase.
• Knowledge of project management platforms such as Jira, Trello or Rally.
• Knowledge of test design techniques and the ability to apply them effectively.
• Strong communication and problem-solving skills.

What you will do:

• Thoroughly test new functionality during development to ensure high product quality.
• Identify, document and verify defects, and monitor their timely resolution.
• Participate in smoke and regression testing to verify the stability and integrity of the system.
• Create and review test documentation, including checklists, test cases and acceptance criteria.
• Test APIs using Postman, validate requests and responses, and ensure the backend works as expected.
• Gather and analyse requirements for new and existing functionality, contribute to the knowledge base and deepen your understanding of the product.

What we offer:

• Medical insurance.
• A comfortable office at the Leonardo Business Centre in central Kyiv.
• A supportive team and collaborative working environment.
• Professional and career development opportunities.
• Access to AI tools that help you work faster and more effectively.
• An opportunity to contribute to a product that continues to grow and evolve.
• Free lunches, corporate events and team activities.

📍 Working format: Candidates based in Kyiv are expected to work from our Kyiv office during the probationary period. After successful onboarding, a hybrid or remote working format may be available.

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

• Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 
• Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 
• Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 
• Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

• Solid background in machine/deep learning, with 4+ years of experience. 
• Strong Python skills and experience working in Linux environments. 
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 
• Experience with MLOps pipelines and serving/deploying models in production. 
• Experience optimizing models for inference, including GPU acceleration. 
• Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 
• Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

• Experience building and productizing agentic flows and AI-driven solutions (1+ year). 
• Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 
• Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

What makes Verbit unique? 

Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows. 

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more. 

With more than 3,000 global customers relying on Verbit—including top law firms, universities, enterprises and media organizations—we’re building the future of how speech data is processed, understood and used. 

We’re a group of: 

• Tech-savvy individuals who are always open to more growth and learning opportunities 
• Adaptable and flexible people who thrive in a fast-paced, startup environment 
• Creative minds who rethink and question how to outperform past results 
• Effective communicators who can promote and represent Verbit’s tech and brand 

GameCode was founded in 2017. We build online slot games for regulated markets across the USA, Canada, Europe, and beyond. Our team consists of more than 100 specialists, and we are looking for a Python Developer with hands-on iGaming and slot math experience.

What you will do

• Implement and fine-tune slot game math models and paytables
• Build and maintain game logic in Python
• Work closely with math and game designers to achieve RTP and volatility targets
• Test, validate, and simulate game math for compliance and fairness

What we expect

• 3+ years of software engineering experience
• 2+ years of professional Python experience
• 2+ years of experience in iGaming or the slots market
• 1+ year of experience implementing slot game mathematics
• English at B2 level or higher

Nice to have

• Experience with RTP simulations and volatility analysis
• Familiarity with regulated markets such as the UK, USA or Canada
• Open-source contributions or personal Python projects

What we offer

• Fully remote work
• Flexible working hours
• Long-term B2B cooperation
• Competitive rate depending on experience
• Training budget
• A flat team structure where your input matters

Recruitment process

Short screening call → technical interview → offer.
We aim to complete the process within 2–3 weeks.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

At Fozzy Group, we are developing a next-generation Decision Support System that connects operational, commercial, and investment data to optimize financial effectiveness and drive guest experience. As a Data Scientist you will own the measurement layer to derive Initiative & Investment Performance Insights. The role 

is organized around three streams: 

• Effect Measurement & Causal Inference: quantify the true incremental impact of initiatives using A/B testing and quasi-experimental methods. Measure uplift in purchase frequency, guest spend, average check, and retention against properly designed control groups, and form clear conclusions on whether an initiative works and is worth its cost. 

• Driver & Heterogeneity Analysis: identify the most significant factors of project performance using ML: guest profile structure and dynamics, technology presence, assortment, distance to competitors – so the business can assess project potential per store, forecast effects, and scale more effectively. 

• Self-Service Validation & Monitoring: build reusable, automated frameworks for effect validation and monitoring that let Finance and business owners get verified answers on demand, with full source transparency and reproducibility.
You will join a cross-functional team to design and implement data-driven decision module that directly influence financial outcomes. 

Job Responsibilities 

• Design and run experiments (A/B tests) and quasi-experiments (difference-in-differences, synthetic control, propensity score matching), and apply causal ML to estimate the incremental and heterogeneous effects of operational, commercial, and investment initiatives. 

• Build uplift / heterogeneous-treatment-effect models to learn which guests, segments, and stores respond most, and quantify effects on key metrics – purchase frequency, share-of-wallet / guest spend, average check, CLV, and retention (via survival models) – for pilot versus control groups. 

• Develop interpretable driver models (gradient boosting with SHAP, causal forests) that explain project performance, and rank the factors with the highest impact on results. 

• Build store-level potential-scoring and effect-forecasting models – probabilistic and hierarchical forecasting, transfer learning and store embeddings to borrow signal across the network – to guide and prioritize scaling decisions. 

• Design adaptive early-stop logic using Bayesian sequential testing, multi-armed bandits, and change point detection, to reallocate or halt rollouts as soon as the economic signal turns marginal. 

• Translate financial and commercial questions into statistically rigorous measurement designs, and connect statistical results to economic value (incrementality, ROI, payback). 

• Build SQL and Python pipelines, reusable feature sets / a feature store, and a self-service experimentation framework. 

• Productionize and monitor models (MLOps) – drift detection, automated validation, reproducibility, and source transparency. 

• Partner with Finance, Investment, Commercial, and Operations teams to deliver verified, decision ready insights. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance; 

• At least 2 years working experience on Data Science; 

• Strong foundation in Statistics, Causal Inference, and Experimental Design – A/B testing, Hypothesis Testing, Power Analysis; 

• Proven experience with SQL (Window functions, CTEs, joins) and Python; 

• Expertise in Machine Learning, Time Series Analysis; 

• Ability to work independently and decompose complex problems. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration; 

• Practical experience with Amazon SageMaker: training, deploying, and monitoring ML models in a production environment; 

• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Looker); 

• Ability to design and deliver packaged analytical/ML solutions. 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.
 

The Foodtech team is looking for a Data Scientist to develop the Operational Analytics function for a fast growing food delivery business. In this role, you will focus on time series forecasting, regression modeling, simulation modeling, and end-to-end machine learning pipelines to support resource planning and operational decision-making.

You will be responsible for developing simulation-based models that serve as a foundation for a digital twin of operational processes, enabling scenario analysis, stress testing, and what-if simulations for capacity planning and operational optimization.

You will work closely with product, engineering, and operations teams to transform data into measurable business impact through production-ready ML and simulation solutions.
 

Job Responsibilities:

• Develop and implement time series forecasting models for resource planning (demand, capacity, couriers, delivery slots, operational load);
• Build regression and machine learning models to explain key drivers and support operational decisions;
• Apply a wide range of time series approaches from classical models (SARIMA, ETS, Prophet) and ML models (GB) to modern Deep Learning models (LSTM, Temporal CNNs, Transformers for TS);
• Design, build, and maintain end-to-end automated ML pipelines, deploy and operate models in production using AWS SageMaker;
• Orchestrate training and inference workflows with Apache Airflow;
• Analyze large-scale operational datasets and convert results into insights, forecasts, and actionable recommendations;
• Collaborate with product managers, engineers, and operations teams to define business problems and validate analytical solutions;
• Monitor model performance, forecast stability, and business impact over time.
   

Requirements:

• Bachelor’s Degree in Mathematics / Engineering / Computer Sciences / Quantitative Economics / Econometrics;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• At least 2 years working experience on Data Science;
• Experience of the full cycle of model implementation (data collection, model training and evaluation, model deployment and monitoring);
• Ability to work independently, proactively, and to decompose complex problems into actionable tasks.
   

Skills:

• Strong proficiency in Python with solid application of object-oriented programming (OOP) principles (modular design, reusable components, maintainable code);
• Solid experience in time series forecasting and regression modeling;
• Practical knowledge of:o Classical and ML forecasting techniques;
  o Statistical methods (hypothesis testing, confidence intervals, A/B testing);
• Advanced SQL skills (window functions, complex queries);
• Experience building automated ML pipelines;
• Understanding of MLOps principles (model versioning, monitoring, CI/CD for ML).
   

Nice to have:

• Hands-on experience with AWS SageMaker (training jobs, endpoints, model registry);
• Experience with Apache Airflow for data and ML workflow orchestration;
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau);
• Experience working with large-scale production data systems.
   

What We Offer:

• Competitive salary;
• Professional & personal development opportunities;
• Being part of dynamic team of young & ambitious professionals;
• Corporate discounts for sport clubs and language courses;
• Medical insurance package.

We are looking for a Middle .NET Developer to join our team and work on an exciting FinTech project. You'll collaborate with experienced engineers to build scalable, secure, and high-performance backend solutions.

Responsibilities:

• Develop and maintain backend services using C# and .NET.
• Design and implement RESTful APIs.
• Participate in architecture discussions and code reviews.
• Collaborate with cross-functional teams to deliver high-quality software.
• Write clean, maintainable, and well-tested code.
   

Requirements:

• 3+ years of commercial experience with C#/.NET.
• Strong knowledge of .NET Core / .NET 6+ and ASP.NET Core.
• Experience with REST APIs.
• Solid understanding of SQL databases (MS SQL Server or PostgreSQL).
• Experience with Entity Framework Core.
• Knowledge of OOP, SOLID principles, and design patterns.

Nice to Have:

• Docker and Kubernetes.
• Azure or AWS.
• Experience with microservices.
• Previous experience in the FinTech domain.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

Ready to level up your career? 

Playtech's GPAS unit is looking for an experienced Scala Developer with excellent engineering skills.

Your influential mission. You will...  

• Participate in software design, development, refactoring, support, and code reviews to maintain high development standards.
• Collaborate with platform teams to deliver great results.
• Work autonomously on your tasks with little or no supervision.
• Optimize the platform to achieve maximum throughput and scalability.
• Be proactive and go beyond expectations.

Components for success. You...

• Bring at least 3 years of hands-on experience developing server-side applications in Scala.
• Have a strong working knowledge of Scala (preferably Scala 3) and SBT (Scala Build Tool).
• Demonstrate solid experience with Pekko/Akka, including HTTP, Actors, Cluster, Persistence, Streams, and connectors.
• Possess a strong understanding of the JVM, data structures, and algorithms.
• Exhibit excellent knowledge of parallel and concurrent programming principles.
• Have practical experience building high-scale, distributed systems with complex interfaces and integrations.
• Think like an engineer - taking ownership, driving solutions forward, and continuously improving systems and processes.
• Demonstrate exceptional problem-solving skills and critical thinking.
• Show a willingness to document solutions and actively share knowledge with colleagues.

• Communicate clearly and effectively in English.

   

You'll get extra points for...

• Previous experience in the iGaming domain.
• Experience working with Typesafe Config.
• Hands-on experience with Couchbase or other document-based NoSQL databases.
• Familiarity with AWS services such as S3 and DynamoDB.
• Experience using Play JSON.
• Proficiency with ScalaTest for testing.
• Experience with containerization and orchestration tools such as Docker, Nomad, or Kubernetes.
• Confidence working in Linux environments.

Thrive in a culture that values...   

• A friendly, cooperative, and goal-oriented team of experienced professionals.
• Clear goals and a results-driven environment.
• Open communication, knowledge sharing, and mutual support across teams.
• Initiative-taking and a confident approach at the workplace.
• Collaborative and supportive culture as well as stable long-term career opportunities.
• Global scope and inclusive working environment where you can engage with diverse teams and perspectives.
• Constant learning and development opportunities and professional growth programs.

• An active lifestyle and mental well-being supported through sports classes, master classes, and monthly well-being activities.

   

GPAS UNIT

We invite an experienced Scala Developer to become a part of Playtech as a new member of the GPAS product team. Gaming Platform as a Service aka GPAS is Playtech’s exclusive distributed games delivery platform that currently has more than 1000 games running on it. GPAS is a highly accessible, multi-tenant, scalable, distributed and event-driven system written in Scala with the help of the Akka framework. We use Couchbase as a hot storage and AWS S3/DynamoDB as our cold storage to ensure we can handle nearly a billion transactions per day. We have a complex solution that provides capabilities to run various types of online casino games. We adopt Scrum methodology to deliver new features on time.

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

About the Position

We’re growing fast and looking for a Senior Backend Engineer to join our Engineering team and help build the infrastructure that powers our platform at scale.

This is a high-impact role where you’ll work alongside top-tier engineers, designing and building secure, high-performance systems in a fast-paced environment. If you enjoy solving complex technical challenges and want your work to have real impact — we’d love to meet you.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field
• 5+ years of experience in backend development
• Strong experience building scalable, production-grade systems
• Proficiency in Node.js
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms and microservices architecture
• Strong problem-solving skills and attention to detail
• Passion for writing clean, maintainable, and efficient code

Bonus Points For

• Experience in cybersecurity or building security-focused products
• Experience working in startup or high-growth environments
• Familiarity with DevSecOps / SDLC tools
• Experience with distributed systems and high-scale data processing

Привіт!
Я Макс, засновник EdTech-компаній з 10+ роками досвіду у створенні та масштабуванні стартапів. Останні роки я сфокусований на B2C digital products для міжнародних ринків. Один із наших продуктів уже має 50K+ користувачів та за 6 місяців вийшов на рівень $100K+ monthly revenue, де ключовим каналом росту зараз є paid acquisition через web-to-web funnels.

Зараз ми хочемо прискорити продуктові експерименти та системно покращувати весь шлях користувача від рекламного кліку до покупки: landing page, quiz, paywall, checkout, upsells, conversion rate, CAC, ROAS та LTV.

Тому шукаємо Middle/Senior Web-to-Web Product Manager, який має практичний досвід роботи з B2C subscription funnels і може самостійно вести окремий напрям експериментів -- від аналізу funnel та формування гіпотези до запуску A/B-тесту й оцінки business impact.

Про роль
- Формат: Part-Time Contractor, 15–20 годин на тиждень
- Продукти: B2C Subscription Products / EdTech
- Ринки: U.S. + mixed international markets
- Фокус: Web-to-Web Funnels / Conversion / Monetization / Experimentation
 

Що ти робитимеш
Product strategy & experimentation
- Визначати strategic top 7 web-to-web bets і формувати experiment roadmap
- Самостійно проводити повний цикл експерименту: проблема → гіпотеза → дизайн рішення → A/B test → аналіз → висновки
- Вести окремий продуктовий напрям: advertisement → landing page / quiz → paywall → checkout → purchase
- Аналізувати funnel metrics та знаходити ключові conversion opportunities
- Формувати й пріоритезувати гіпотези навколо CTR, quiz start, quiz completion, paywall CVR, checkout CVR, purchase rate, AOV, CAC, ROAS та LTV
 

Conversion & monetization
- Покращувати landing pages, quiz funnels, paywalls та checkout experience
- Зменшувати drop-off між ключовими етапами funnel
- Тестувати positioning, value propositions, offer structure, pricing, subscription plans, trials, discounts та guarantees
- Адаптувати funnel під різні acquisition sources, creatives, audiences, geo та user intents
- Покращувати payment acceptance, failed payment recovery, rebills та refund rate
 

Analytics, research & delivery
- Працювати з PostHog, GA4, Stripe та продуктовими даними
- Будувати funnel і cohort analysis, сегментувати результати за source / campaign / creative / geo / device / offer
- Формувати коректний дизайн A/B-тестів, success metrics, guardrail metrics і критерії прийняття рішень
- Проводити competitor research та аналізувати сильні web funnels у B2C subscription products
- Створювати базові прототипи landing pages, quiz steps, paywalls та checkout screens у Figma
- Використовувати AI для research, аналізу funnel, підготовки гіпотез, copy variations, прототипів і документації
 

Кого ми шукаємо
- 2–3+ роки практичного досвіду на позиції Product Manager / Growth Product Manager / Funnel Product Manager
- Досвід із B2C subscription products, web-to-web funnels, EdTech, content products або consumer SaaS
- Практичний досвід оптимізації quiz funnels, landing pages, paywalls і checkout
- Практичний досвід запуску A/B-тестів та оцінки їхньої статистичної валідності
- Розуміння funnel metrics: CTR, quiz start rate, quiz completion rate, paywall CVR, checkout CVR, purchase rate, AOV, CAC, ROAS, rebill rate та LTV
- Вміння самостійно знаходити drop-offs, формувати гіпотези та доводити їх до запуску
- Розуміння direct-response principles: positioning, offer, value proposition, social proof, urgency, guarantees та objection handling
- Практичні навички роботи з product analytics: PostHog, GA4, Amplitude, Mixpanel або аналогами
- Розуміння attribution, unit economics та зв’язку funnel metrics із revenue
- Базова design literacy: здатність самостійно накидати варіант тесту у Figma на основі готових компонентів
- AI-powered product skills: research, competitor analysis, hypotheses, copy variations, data analysis та documentation
- Бонус: досвід із mobile app funnels, RevenueCat, App Store / Google Play subscriptions, in-app paywalls, trials, rebills, cancellations, refunds або win-back механіками.

Що з нашого боку
- Гнучкий part-time / project-based формат (15-20 годин на тиждень) -- можна поєднувати з full-time роботою або іншими проєктами
- Оплата за результат + бонусна система: якщо твої дії дають помітний growth impact, ми готові щедро ділитися upside
- Сильний кейс у портфоліо: можливість долучитися до масштабування продукту від сотень тисяч до мільйонів доларів revenue (продукт уже має traction: 50K+ users, $100K+ monthly revenue)
- Перспектива розширити формат до Head of Product у напрямі Mobile / Web-to-Web та отримати опціони компанії
- Можливість безпосередньо впливати на activation, retention, subscription revenue та LTV
- Повна свобода в організації часу: нам не важливо, коли ти працюєш -- важливо, який результат даєш
- Пряма робота з co-founder, який відповідає за product і development: швидкі рішення, мінімум бюрократії, максимум фокусу на growth
- Робота над корисними продуктами в Education / Health & Fitness / Parenting, які реально дають value користувачам

Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.

As a System Engineer, you will secure and optimize our IT environment by managing Google Workspace, endpoint protection (EDR/MDM), and access controls. You will resolve complex L2/L3 requests, remediate vulnerabilities, and drive IT security projects to keep our operations safe and seamless.

Responsibilities:

• Configure google workspace (chrome policies, context awareness dlp/mail policies etc.)
• Work closely with endpoint security and EDR solution
• Assist in uem/mdm systems and patch management
• Assist in managing system permissions and user accounts
• Collaborate with cross-functional terms to remediate identified vulnerabilities.
• Participating in IT/Information Security projects aimed at improving user experience and implementing new technologies
• Solve dedicated l2/l3 user request

Requirements and Skills:

• Experience with of Malware protection software (AV, EDR, XDR)
• Experience with Data Leakage Prevention infrastructure (DLP cloud and on-premise), Access Management, MDM, etc
• Experience with the cloud infrastructures and cloud technologies
• Working knowledge of MacOS/Windows, good understanding of endpoint security
• Working experience with network and web-application scanners
• Knowledge and experience in designing and applying security controls for different technologies
• Average knowledge in IP networking
• Experience at logs analysis and troubleshooting
• Good communication and excellent reporting skills
• Ability to dive into details and study new knowledge
• 3+ years experience as tech administrator or/and cybersecurity specialist
   

Would be a plus:

• System administrator (Windows, MacOS) background
• Experience with log collection, parsing and enrichment with Elastic, logstash, opensearch
• Experience with Google workspace and Atlassian (Jira, Confluence) products
• Experience with SSO protocols and service-to-directory integrations
• Experience with AWS security stack; DevSecOps functions
• Information security certifications
• Intermediate+ English

What We Offer:

• Work in a strong team of professionals and genuinely supportive people
• Opportunities for professional growth and development
• Flexible working hours
• Medical insurance
• Sports expense compensation
• Psychological support
• Free language classes (English, Spanish, and German)
• 18 working days of paid vacation, paid sick leave, and sick days
• Regular team buildings and corporate events
• All necessary equipment for comfortable work

NuxGame is a dynamic IT company delivering top-tier software solutions for the iGaming industry. We empower operators of all sizes to expand into new markets, strengthen their existing brands, and achieve ambitious business goals.
We are looking for a Devops Team Lead to join our team. If you are passionate about high-load systems, solving complex engineering challenges, and working with modern tech stacks, this is the place for you.

Required skills:

• 3+ years in a DevOps leadership role (team management, hiring/firing, mentoring, reporting, workflow optimization).
• Strong expertise in AWS (multi-account organizations, networking, security, cost optimization).
• Advanced Kubernetes experience (EKS preferred): HA networking, autoscaling, PodDisruptionBudgets, NodeGroups, service mesh & CNI (e.g., AWS VPC-CNI, Cilium/eBPF).
• Infrastructure as Code: Terraform (multi-environment modules, GitOps automation), Helm; understanding of CloudFormation as a plus.
• Cloud-native CI/CD: GitHub Actions, Jenkins, FluxCD or ArgoCD (GitOps), can design secure deployment pipelines for PHP, Go.
• Observability & Monitoring: Prometheus, Grafana, Alertmanager, New Relic, Sentry; experience writing custom metrics/alerts.
• RDBMS expertise: Practical experience with MySQL/Aurora performance, backup/restore automation, failover.
• Security: Strong understanding of Zero-Trust, IAM, network segmentation, SSL/TLS, WAF, DDoS protection, secrets management (AWS Secrets Manager/External Secrets Operator).
• Networking fundamentals: VPC design, Ingress/Load Balancers, troubleshooting.
• Automation & Scripting: Python/Bash for operational automation, integrations, and tooling.
• High-load experience: Scaling distributed systems used globally (latency optimization for multi-region deployments).
  
   

Would be a plus:

• Experience with Multi-Region and Multi-Cloud architectures, cross-cluster networking, failover strategies.
• Experience with PCI DSS, or equivalent compliance frameworks.
• Caching/CDN and storage optimization: Redis, Cloudflare, S3 tiering.
• Linux systems internals, performance tuning.
• Experience with Kafka/MSK or other streaming systems.
• Strong background in cost optimization techniques across AWS/GCP/Azure.

Responsibilities 

• Lead and grow the DevOps team, set priorities, improve delivery workflows, and ensure high service availability.
• Lead the development and support of Kubernetes-based infrastructure across multiple AWS accounts.
• Maintain Infrastructure as Code (Terraform) and GitOps deployment practices.
• Support continuous delivery and operational excellence through optimized CI/CD pipelines and automation.
• Ensure strong monitoring, incident response, and system performance across all environments.
• Collaborate with engineering and product teams to drive infrastructure improvements aligned with business needs.
• Strengthen security controls, access management, and compliance across the platform.
• Manage Cloudflare security and performance services.

What we offer:

We believe that a happy team builds the best products. Here is how we support you:
 

• Remote & Flexible: Work from anywhere. Our core hours are 09:00/10:00 to 17:00/18:00 (Kyiv time), Mon-Fri.
• Financial Stability: Timely payment for compensation for services
• Personal Equipment Policy: No tech troubles — a MacBook and all necessary equipment are provided for use to ensure comfortable and efficient work.
• Learning & Development: It is a pleasure for us to watch you grow. We cover your learning costs (courses, conferences).
• Knowledge Sharing: We regularly gather to discuss new trends, share insights, and elevate one another.
• Community: At NuxGame, you will work in a team of like-minded people who are ready to support, inspire, and tackle complex challenges together.
• Creative Freedom: We encourage initiative. With us, you have the freedom of professional expression and the space to implement your ideas.
• Time-off Policy: 24 vacation days per year + 5 sick days (without medical confirmation).
• Atmosphere: A friendly environment focused on results and mutual respect, free from unnecessary bureaucracy and pressure.