Jobs at Djinni

• Project Description:

  As a Senior Backend Developer, you augment a high-profile team of business analysts, solution architects and developers working on a strategic project for Group Accumulation Management.
  
  You will take the responsibility to design and implement the integration solution based on the business requirements throughout the entire project lifecycle. You have a sound knowledge in agile software development, data modelling and a vast interest to deepen your domain knowledge in Commercial Insurance, Risk & Accumulation Management business.

   

• Responsibilities:

  As a Senior Backend Developer your main accountabilities will involve:
  - Work with IT Solution Architect to clarify business requirements and estimate development efforts
  - Manage the task break-down and perform the implementation of user stories
  - Work with Quality Assurance Team on issue reporting, resolution, and change control
  - Assist other teams with troubleshooting problems that may arise from applications or integration of various components

   

• Mandatory Skills Description:

  • 4-6+ years of professional  with C# and modern .NET (.NET 6/7/8)
  • Experience building Web APIs and backend services (ASP.NET Core)
  • Solid understanding of dependency injection, middleware, and configuration management
  • Experience with RESTful services and API design best practices
  • Understanding of authentication and authorization mechanisms (OAuth2 / JWT)
  Cloud Technologies (Mandatory)
  • Practical experience with at least one major cloud platform:
  o Azure (preferred) / AWS / GCP
  • Experience with:
  o Cloud-native application design
  o PaaS services (App Services, Azure Functions, etc.)
  o Containerization (Docker)
  o CI/CD pipelines
  • Understanding of:
  o Microservices architecture
  o Observability (logging, monitoring, tracing)
  o Configuration and secrets management in cloud environments
  MS SQL Server (Mandatory)
  • Strong experience with Microsoft SQL Server
  • Database design and schema optimization
  • Writing complex T-SQL queries, stored procedures, and functions
  • Performance tuning and query optimization
  • Indexing strategies and execution plan analysis
  • Experience with data migration and transformation
  • Strong Python experience and knowledge

Responsibilities

Model Fine-Tuning and Deployment:

Fine-tune pre-trained models (e.g., BERT, GPT) for specific tasks and deploy them using Amazon SageMaker and Bedrock.

RAG Workflows:

Establish Retrieval-Augmented Generation (RAG) workflows that leverage knowledge bases built on Kendra or OpenSearch. This includes integrating various data sources, such as corporate documents, inspection checklists, and real-time external data feeds.

MLOps Integration:

The project includes a comprehensive MLOps framework to manage the end-to-end lifecycle of machine learning models. This includes continuous integration and delivery (CI/CD) pipelines for model training, versioning, deployment, and monitoring. Automated workflows ensure that models are kept up-to-date with the latest data and are optimized for performance in production environments.

Scalable and Customizable Solutions:

Ensure that both the template and ingestion pipelines are scalable, allowing for adjustments to meet specific customer needs and environments. This involves setting up RAG workflows, knowledge bases using Kendra/OpenSearch, and seamless integration with customer data sources.

End-to-End Workflow Automation:

Automate the end-to-end process from user input to response generation, ensuring that the solution leverages AWS services like Bedrock Agents, CloudWatch, and QuickSight for real-time monitoring and analytics.

Advanced Monitoring and Analytics:

Integrated with AWS CloudWatch, QuickSight, and other monitoring tools, the accelerator provides real-time insights into performance metrics, user interactions, and system health. This allows for continuous optimization of service delivery and rapid identification of any issues.

Model Monitoring and Maintenance:

Implement model monitoring to track performance metrics and trigger retraining as necessary.

Collaboration:

Work closely with data engineers and DevOps engineers to ensure seamless integration of models into the production pipeline.

Documentation:

Document model development processes, deployment procedures, and monitoring setups for knowledge sharing and future reference.

Must-Have Skills

Machine Learning: Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

MLOps Tools: Proficiency with Amazon SageMaker for model training, deployment, and monitoring.

Document processing: Experience with document processing for Word, PDF, images.

OCR: Experience with OCR tools like Tesseract / AWS Textract (preferred)

Programming: Proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-Learn.

Model Deployment: Experience with deploying and managing machine learning models in production environments.

Version Control: Familiarity with version control systems like Git.

Automation: Experience with automating ML workflows using tools like AWS Step Functions or Apache Airflow.

Agile Methodologies: Experience working in Agile environments using tools like Jira and Confluence.

Nice-to-Have Skills

LLM: Experience with LLM / GenAI models, LLM Services (Bedrock or OpenAI), LLM abstraction like (Dify, Langchain, FlowiseAI), agent frameworks, rag.

Deep Learning: Experience with deep learning models and techniques.

Data Engineering: Basic understanding of data pipelines and ETL processes.

Containerization: Experience with Docker and Kubernetes (EKS).

Serverless Architectures: Experience with AWS Lambda and Step Functions.

Rule engine frameworks: Like Drools or similar

If you are a motivated individual with a passion for ML and a desire to contribute to a dynamic team environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of infrastructure and driving innovation in software delivery processes.

We are a consulting company operating in the finance and cryptocurrency sector. We have an open remote position for a Customer Support Managers: German language. 

Job Details:

Employment Type: Unofficial employment (Temporary) 
Working Hours: Monday to Friday, 9 hours per day.
(Including a lunch break and two 15-minute breaks)

Responsibilities: Provide oral and written consultations to clients regarding any questions related to the company's operations. There are no outbound calls or sales involved; the line is exclusively for incoming calls.

Salary: paid to a cryptocurrency wallet. If you have not used this method before, we will guide you through the process.
For more details, we can discuss via phone call or online interview.

Role Overview

As the Head of Managed Services at ThingsBoard, you will be the founder and leader of our new Private Cloud department. This is a critical business unit where the "Product" is the seamless operation, performance, and reliability of ThingsBoard instances in the cloud. You will lead a team of Customer Reliability Engineers (CREs) and Technical Account Managers (TAMs) to ensure that our largest customers receive a premium, "zero-friction" experience.

Key Responsibilities

1. Team Leadership & Motivation

• Build the Culture: Foster a "CRE mindset" where engineers are motivated to automate repetitive tasks and take pride in 99.9% uptime.
• Mentorship: Conduct 1-on-1s, identify skill gaps, and provide the team with the tools (including AI-driven automation) they need to succeed.
• Resource Management: Manage the hiring roadmap and on-call rotations to ensure 24/7 coverage without team burnout.

2. Process Ownership & Maintenance

• The Playbook: Design and maintain the internal "Standard Operating Procedures" (SOPs) for deployment, patching, and incident response.
• SLA Enforcement: Define and monitor Service Level Agreements (SLAs). You are responsible for ensuring we meet our promises to the customer.
• Operational Excellence: Ensure every technical fix is documented in the Internal Knowledge Base to prevent recurring issues.

3. Strategic Customer Management ("Know Your Customer")

• Usage Insights: Deeply understand how our customers use ThingsBoard (device counts, data frequency) to anticipate scaling needs.
• Voice of the Customer: Act as the internal advocate for Private Cloud clients, providing feedback to the core Product team on how to make the platform more "manageable."
• Escalation Point: Serve as the final point of contact for high-value customers during critical incidents or complex business discussions.

4. Continuous Improvement & FinOps

• Margin Optimization: Constantly look for ways to reduce our cloud spend (AWS/Azure/GCP) while maintaining performance.
• Automation First: Drive the team to replace manual "tinkering" with automated scripts and AI-augmented workflows.
• Efficiency: Reduce the "Time to Onboard" for new customers through process refinement.

5. Strategic Task Prioritization

• The Buffer: Protect the team from "feature creep" and distractions. You decide what is a "Critical Priority" vs. what can wait.
• Roadmap Alignment: Balance technical debt (fixing the infrastructure) with business growth (onboarding new clients).

Requirements & Skills

Technical Awareness

• Cloud Literacy: You understand VPCs, Load Balancers, Managed Databases, and Kubernetes. You don’t need to be the one writing the code, but you must be able to "speak the language" and validate the team's technical decisions.
• Architecture Mindset: Ability to understand the ThingsBoard stack and how it interacts with different cloud provider services.

Leadership & Soft Skills

• Conflict Resolution: You are the calm in the storm. Whether it’s a heated discussion between Sales and Engineering or a frustrated customer during an outage, you find the "Win-Win" solution.
• Proactive Problem Solving: You don't wait for a ticket to be filed. You see a bottleneck in the onboarding process and fix it before the next customer arrives.
• Communication: Ability to translate deep technical metrics (latency, IOPS, CPU steal) into business value for the CEO and customers.

Experience

• 5+ years in a leadership role within a SaaS, MSP, or DevOps environment.
• Proven experience in managing customer relationships and technical service delivery.
• Experience with SLA management and high-availability systems.

Why Join This Role?

You aren't just managing a team; you are building a new revenue stream for ThingsBoard. You have the autonomy to define the tools, the processes, and the team structure from day one.

Success in the first 90 days looks like:

• 30 Days: Complete audit of current manual deployment steps and identification of the first three automation targets.
• 60 Days: Launch of the first version of the "Private Cloud Playbook" and Internal Knowledge Base.
• 90 Days: Successful, "quiet" onboarding of a new client where the process was 80% automated and documented.

What We Offer?

• Work on a global product (open-source IoT, over 20k GitHub stars).
• Clear tasks and team support.
• Career growth and regular reviews.
• Medical insurance or compensation program.
• 17 vacation days and 10 sick leaves.
• Corporate English classes.
• Comfortable office in Kyiv (Podil) + flexible schedule.

We are looking for an experienced Senior Full-Stack Developer with strong expertise in .NET backend technologies and modern React-based frameworks (Next.js with TypeScript).

In this role, you will help design, develop, and scale a biotech platform that includes functionality for storage management, billing, and patient-related workflows. The position requires a hands-on engineer who is comfortable making architectural decisions, writing high-quality, maintainable code, and collaborating within a small, highly efficient team.

You will also work directly with clients to gather requirements, participate in system architecture discussions, and ensure that the platform delivers secure, scalable, and high-performance solutions across the full technology stack.

Responsibilities

Backend Development (.NET / Azure)

• Build and maintain scalable backend services using C#, ASP.NET, and .NET Core
• Design and implement RESTful APIs and backend components
• Structure and optimize relational databases (SQL Server, PostgreSQL, or similar)
• Integrate external services such as DocuSign and payment platforms (Stripe, Square)
• Deploy and manage applications within the Microsoft Azure ecosystem
• Ensure high availability, scalability, and system reliability
• Apply strong security and data protection standards

Frontend Development (React / Next.js)

• Develop responsive web interfaces using React, Next.js, and TypeScript
• Create reusable UI components and shared front-end libraries
• Implement state management solutions such as Redux
• Optimize web performance, scalability, and SEO using SSR and modern routing
• Follow secure coding practices and OWASP recommendations
• Work closely with designers to convert UI/UX concepts into production-ready code
• Integrate frontend applications with backend services and APIs

Collaboration & Engineering Practices

• Work closely with developers, QA engineers, product managers, and business stakeholders
• Contribute to architecture design and technical decision-making
• Communicate directly with customers to clarify needs and improve solutions
• Review code and support the growth of junior engineers
• Participate in CI/CD pipelines and deployment processes
• Operate effectively within a fully remote team working in US time zones

Requirements

• 5+ years of professional experience in software engineering
• Strong hands-on experience with:
  • .NET ecosystem (C#, ASP.NET, .NET Core)
  • React with TypeScript
  • Next.js (SSR, routing, performance optimization)
• Proven experience designing RESTful APIs and scalable backend systems
• Practical experience with Microsoft Azure
• Strong knowledge of SQL database design and optimization
• Experience integrating third-party services (DocuSign, Stripe, Square, etc.)
• Experience with Redux or similar state management tools
• Familiarity with modern CSS frameworks (e.g., Tailwind CSS)
• Solid understanding of web security principles and common vulnerabilities
• Experience working with Git and version control workflows
• Strong communication skills and ability to collaborate in a small distributed team
• Ability to work independently in a remote environment

Nice to Have

• Experience in biotech, healthcare, or regulated industries
• Familiarity with patient management, billing, or storage-related platforms
• Experience with frontend testing tools such as Jest or React Testing Library
• Experience integrating analytics and tracking tools (Google Tag Manager, Segment)
• Background in startups or small product teams
• Knowledge of CI/CD automation and DevOps practices

What We Offer

• Opportunity to work on innovative solutions in the biotech sector
• Influence on technical architecture and product development
• Close collaboration with customers and decision-makers
• Flexible remote work environment
• The chance to contribute to the growth of a scalable technology platform

We are looking for a Senior Data Scientist with strong technical expertise and a practical mindset to work on complex data-driven challenges. In this role, you will design and implement ML and GenAI solutions, experiment with modern approaches, and transform ambiguous business problems into scalable, production-ready systems.

Requirements
Must-have

• 4+ years of experience in Data Science
• 4+ years of hands-on experience with Python
• Strong understanding of Machine Learning fundamentals, including:
  • regression and classification models
  • feature engineering and model evaluation
• Practical experience with LLMs and GenAI, including:
  • GPT / ChatGPT or similar LLMs
  • LangChain
  • Retrieval-Augmented Generation (RAG)
• Experience with EDA, data preprocessing, and basic dimensionality reduction (e.g. PCA)
• Hands-on experience with tree-based models (e.g. XGBoost)
• Experience building scalable and high-load solutions
• Ability to write clean, maintainable code
• Participation in technical and architectural decisions
  
  Nice to have
• Experience with NLP libraries (SpaCy, Hugging Face)
• Understanding of Explainable AI (XAI) and model interpretability
• Experience with cloud platforms (AWS / GCP / Azure)
• Ability to translate business problems into ML solutions

• Background in R&D, experimentation, or prototyping

  
  Key Responsibilities

• Design and develop scalable Data Science and GenAI solutions aligned with business goals.
• Build, evaluate, and optimize ML models, including:
  -linear models
  -gradient boosting (XGBoost)
  -NLP and LLM-based solutions
• Develop and productionize LLM-powered applications using LangChain and RAG approaches.
• Perform EDA, feature engineering, dimensionality reduction (PCA), and model evaluation.
• Apply XAI techniques to ensure model transparency and explainability.
• Contribute to data science architecture and solution design.
• Write clean, maintainable code and participate in code and design reviews.
• Optimize performance and reliability of high-load systems.
• Conduct R&D activities: explore new ML/GenAI techniques and assess their practical impact.
• Collaborate with engineering, product, and business teams to deliver impactful data-driven solutions.
  
  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 nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

   

The project purpose it to unify content, context, and automation into one orchestration layer. Built on iPaaS infrastructure with a data fabric and a persistent memory layer, it adapts, transforms, and governs enterprise content at scale.

Responsibilities:

• Design and execute test checklists
• Perform functional, non-functional, UI, and acceptance testing for web applications
• Perform regression testing of existing solutions
• Participate in troubleshooting (production and staging environments)
• Collaborate closely with developers, product managers, and other stakeholders
• Launch and support automated tests (maintain test suites, analyze failures, improve test coverage)

Requirements:

• 1.5+ years of experience as a QA Engineer
• Strong knowledge of SDLC and QA methodologies
• Experience with designing, implementing, and running test cases
• Basic knowledge of SQL
• Good knowledge of HTTP, REST API, JSON, XML, HTML
• Experience in launching and supporting automated tests
• Critical thinking and attention to detail
• Ability to communicate effectively in a team-oriented environment
• Experience using AI-assisted tools (for test case creation, test data generation, or analysis) would be an advantage
• At least Upper-Intermediate English

Recruitment Process:

1. HR Interview

2. Tech & Final Interviews

3. Interview with client

4. Job Offer

We Offer:

• Collaborative Environment: Join a team that values collaboration, creativity, and mutual respect
• Career Growth: Performance reviews and constructive feedback
• Generous Time Off: 20 paid vacation days and 15 sick leave days annually, ensuring you have the time to recharge
• Professional Development: We support your growth by compensating for courses, certifications, and other educational opportunities
• Flexible Work Options: Work remotely from the comfort of your home or join us in our modern Kyiv office

We are looking for a Strong Junior Front-End Developer with solid knowledge of JavaScript, TypeScript, React, and Next.js to join our team and contribute to the development of modern digital products. 

Requirements: 

• Hands-on experience with React and Next.js 

• Strong understanding of REST APIs 

• Active use of AI-powered tools in the development workflow 

• Ability to independently organize your work: manage tasks, create estimates, and communicate effectively with the team and/or clients 

• English - B1/B2+ (spoken and written) 

We Offer: 

• A stable salary with regular performance-based reviews 

• Flexible working hours - plan your schedule the way it suits you 

• Participation in projects where your voice truly matters - real influence on decision-making 

• A comfortable modern office equipped for productive work 

• MacBook + external monitor provided for project needs 

• A supportive environment focused on growth, responsibility, and continuous improvement If you believe you have the right skills and mindset, we’d be happy to review your application.

About the company:
We specialize in building technologically advanced solutions for clients across Europe and the United States. We value speed, structure, ownership, and a no-bureaucracy approach. Every team member has a real impact on the final product - from architectural decisions to direct interaction with the client.

Key Goal

Help us increase the flow of inbound leads through strategic content marketing, experimentation with channels, and building scalable marketing funnels.

This is a part-time position with the opportunity to move to full-time after a trial period.
 

Who We’re Looking For

We’re not just looking for a copywriter.
We’re looking for a content creator who thinks like a marketer — someone who understands the market, the audience, and how content converts into leads and business growth.
 

You’re a great fit if you:

• Write strong, clear content (posts, articles, case studies, presentations).
• Think systemically and research before creating content.
• Are curious about people and markets — you ask questions and look for insights.
• Improve ideas instead of just executing tasks.
• Think in metrics — leads, conversions, ROI.
• Finish what you start and take ownership of projects.
• Have English level B2+ and experience creating content in English.
• Have experience in IT outsourcing / SaaS / startups (a strong plus).
• Have a sense of humor — we create stories people want to share.
 

What You’ll Do

• Create and manage marketing content (case studies, website content, social media posts, presentations).
• Help build lead generation funnels together with the CEO and sales team.
• Research markets and identify new promotion opportunities.
• Propose and test new marketing channels and formats.
• Launch growth experiments (LinkedIn, email, SEO, PR, content marketing).
• Analyze campaign results and identify growth opportunities.
• Coordinate contractors such as designers, developers, and SEO specialists.
 

What We Offer

• Real impact — you’ll be part of building the company’s growth engine.
• Work with international projects in AI, SaaS, Web3, FinTech, and B2B.
• Free English classes.
• Partial reimbursement for learning and professional development.
• Fully remote format.
• Part-time position with the possibility to move to full-time.

We are looking for a specialist who will be responsible for the development and maintenance of a complex AI-powered search system built on top of a large interactive knowledge base. The system includes tool calling and agentic behavior that interact with internal tools and multiple types of storage: vector databases for semantic search, document-oriented databases for full-text search, as well as relational and graph databases for lookup by specific identifiers. The search interface is built as an LLM-powered chat that supports natural language queries and returns well-grounded conclusions, recommendations, and links to primary sources.

The candidate will be responsible for designing and implementing the full LLM-powered search pipeline, including orchestration, reasoning, reranking, tool calling, handling tool outputs, validating results, and generating final user-facing responses.

We expect the candidate to:

• Have hands-on commercial experience working with vLLM in self-hosted environments, including model optimization on H100/H200 GPUs, with a solid understanding of GPU architecture principles and cache behavior under production workloads.
• Have a deep understanding of the RAG concept and a proven track record of successfully deploying similar solutions in production.
• Have worked with Haystack, LlamaIndex, LangChain, or similar frameworks, and understand the core differences between them.
• Have experience using MCP and working with LLMs that call external tools and services.
• Have strong Python skills, including architectural principles, design patterns, multithreading, asynchronous programming, modern testing practices, and experience operating systems under load (monitoring, memory optimization, telemetry).
• Have experience working with document-oriented, relational, and vector databases, including an understanding of index types and the appropriate use cases for each.

It would be a plus if you have:

• Experience building or maintaining knowledge bases, AI-powered reporting systems, or chatbots with large context windows.
• Experience training or fine-tuning LLMs or compact models for domain-specific tasks.
• Practical DevOps experience: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience developing OCR- and Vision-Language-based systems for processing unstructured data.
• Experience in data engineering: understanding of ETL/ELT processes, working with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other database systems.
• Understanding of cybersecurity processes and modern approaches to data protection.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

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Шукаємо фахівця, який буде відповідати за розробку та супровід комплексної AI-powered пошукової системи на основі великої інтерактивної бази знань. У системі реалізовано tool calling та agentic behaviour, що працюють із внутрішніми інструментами та різними типами сховищ: векторними базами для семантичного пошуку, документоорієнтованими для повнотекстового пошуку, а також реляційними та графовими базами для пошуку за конкретними ідентифікаторами. Інтерфейс пошуку побудовано у форматі LLM-powered чату, який підтримує запити natural language і повертає аргументовані висновки, рекомендації та посилання на першоджерела. 

У зону відповідальності кандидата входитиме проєктування та впровадження повного пайплайну LLM-powered пошуку, включно з orchestration, reasoning, reranking, tool calling, обробкою відповідей інструментів, валідацією результатів та формуванням фінальних відповідей для користувача. 

Ми очікуємо, що кандидат: 

• Має практичний комерційний досвід роботи з vLLM у self-hosted середовищах, включно з оптимізацією моделей на GPU H100/200, розумінням принципів GPU-архітектур та поведінки кешу під продакшн-навантаженням. 
• Глибоко розуміє концепцію RAG та має досвід успішного впровадження подібних рішень у продакшені. 
• Працював з Haystack / LlamaIndex / LangChain або аналогічними фреймворками та орієнтується в принципових відмінностях між ними. 
• Має досвід використання MCP та роботи з LLM, які викликають зовнішні інструменти й сервіси. 
• Володіє Python на високому рівні: архітектурні принципи, шаблони проєктування, багатопоточність, асинхронність, сучасні практики тестування, а також досвід експлуатації систем під навантаженням (моніторинг, оптимізація пам'яті, телеметрія). 

• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, включно з розумінням типів індексів і відповідних сценаріїв застосування. 

   

Буде плюсом: 

• Досвід створення або підтримки баз знань, систем генерації звітів на базі AI, розробка чатботів із великим контекстним вікном.
• Досвід навчання або fine-tuning LLM чи компактних моделей для специфічних задач. 
• Практичний досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід розробки систем на основі OCR та Vision-Language моделей для обробки неструктурованих даних. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими СУБД. 
• Розуміння процесів кібербезпеки та сучасних підходів до захисту даних. 
   

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.

We are looking for a Data Architect who will participate in the formation and development of Data Governance across the entire Bank. The main goal is to design and implement a comprehensive data architecture for the bank that ensures data quality, accessibility, security, and traceability (lineage) to support the Data Governance strategy, which ensures data consistency, business decision support, regulatory compliance, and maximization of data value as a strategic asset

Your future responsibilities:

• Designing target architecture: developing data models and requirements for their description
• Building data flow maps from source systems to reporting to ensure complete transparency of data origin
• Performing data profiling and analysis of the source system
• Formulating clear conclusions to support the end use of data
• Use metadata repositories to perform data and system integration impact analysis
• Participate in defining data exchange principles (ETL/ELT, Kafka, REST API) with a focus on data integrity
• Participate in the implementation of Data Quality Management (DQM): rules, monitoring, control
• Participate in the implementation of Data Governance controls in business processes and systems
• Identify data-related risks, develop and monitor a minimization plan
• Implement KPIs and OKRs for the Data Governance program
• Communicate results to key stakeholders

Your skills and experience:

• 3+ years of experience in banking or finance
• Expertise in data modeling techniques
• Strategic thinking and architectural approach
• Deep understanding of Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Expertise in Data Quality, Master Data, Metadata, Data Security
• Strong analytical and problem-solving skills, as well as the ability to identify and solve complex data management issues
• Deep understanding of regulatory requirements (BCBS 239, GDPR)
• Communication skills: ability to translate complex data concepts into business-friendly language
• Familiarity with agile methodologies in a data environment

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library • Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023

Opportunities for Everyone:

• Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? — Follow us on social media:

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Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Ми шукаємо Дата Архітектора, який візьме участь у формуванні та розвитку Data Governance у масштабах всього Банку. Основна мета — проєктування та впровадження цілісної архітектури даних банку, яка забезпечує якість, доступність, безпеку та простежуваність (lineage) даних для підтримки стратегії Data Governance, яка забезпечує узгодженість даних, підтримку бізнес-рішень, відповідність регуляторним вимогам та максимізацію цінності даних як стратегічного активу.

Твої майбутні обов’язки:

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису
• Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних
• Проводити профілювання даних та аналіз вихідної системи
• Формулювання чітких висновків для підтримки кінцевого використання даних
• Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем
• Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних
• Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль
• Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи
• Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації
• Впровадження KPI та OKR для Data Governance програми
• Комунікація результатів ключовим стейкхолдерам

Твій досвід та навички:

• 3+ досвід роботи в банківській або фінансовій галузі
• Експертне володіння методиками моделювання даних
• Стратегічне мислення та архітектурний підхід
• Глибоке розуміння Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Експертиза в Data Quality, Master Data, Metadata, Data Security
• Сильні аналітичні навички та навички вирішення проблем, а також здатність виявляти та вирішувати складні проблеми управління даними
• Глибоке розуміння регуляторних вимог (BCBS 239, GDPR)
• Комунікаційні навички: здатність перекладати складні концепції даних на зрозумілу для бізнесу мову
• Знайомство з гнучкими методологіями в середовищі даних

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку.
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей.
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської.
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями.
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк? 

• Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 
• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

We’re looking for a Senior Web & Graphic Designer to create opt-in pages, landing pages, funnels, and newsletter websites that are both visually appealing and conversion-optimized.

This is full-time, on-site (with flexible office days) role in Warsaw.

Hands-on work in ClickFunnels, Leadpages, and Beehiiv is required - not just static design. 

Responsibilities:

• Design and build landing pages, funnels, and opt-in pages in ClickFunnels, Leadpages, Webflow, or similar platforms
• Set up and format newsletter websites directly in Beehiiv
• Create banners, headers, and high-quality visuals for web and email campaigns
• Ensure responsive, mobile-first, performance-optimized pages
• Maintain brand consistency across all digital touchpoints
• Collaborate closely with marketing & content teams
• Iterate designs quickly based on feedback and performance data

Requirements:

• 4+ years of web design experience (not only branding or static graphics)
• Proven experience building conversion-focused landing pages and funnels
• Strong proficiency in ClickFunnels, Leadpages, Webflow, or similar builders
• Solid understanding of UX hierarchy, spacing, layout, and CRO principles
• Experience with Figma, Adobe Creative Suite, or Canva
• Basic HTML/CSS knowledge (nice to have)
• Fast execution, strong organization, high attention to detail
• English level C1+ with strong communication skills

Nice to Have:

• Experience with A/B testing
• Understanding of marketing funnels, lead generation, or affiliate campaigns
• Data-driven approach to design decisions

At Promova, we’re redefining language education for the AI-powered era — making learning accessible, personal, and inspiring for millions of people worldwide. Our 160+ teammates unite around one mission: to connect people, bridge cultures, and empower lifelong learners — in every country except aggressor states (yes, even Antarctica).

We blend AI innovation with human creativity to help people speak with confidence and truly belong anywhere. If you want to test bold ideas, move fast, and make an impact — you’ll feel right at home.

About the Role

We are currently looking for an experienced User Acquisition Manager to join the Promova team to:

• Take ownership of web and mobile user acquisition and get the opportunity to grow quickly into a Lead User Acquisition Manager or even a Head of Acquisition role!
• Optimize media-buying processes across the main channels (primary: Meta & Google).
• Supervise the web/social team.
• Automate teamwork through in-house and third-party solutions
• Manage marketing budgets of $1M+ to ensure cost-effective allocation and ROI.

What We’re Looking for

• 3+ years of UAM experience, preferably in subscriptional B2C products.
• High Budget Management: Experience managing $1 million + in monthly ad spend.
• Hands-on Channels: Direct, hands-on experience with Meta and Google Ads.
• Data Tools: Skilled in using Google Sheets, Tableau, and Amplitude for data analysis.
• User Focus: Strong marketing mindset and deep knowledge of user psychology (what makes users click and convert)
• English: English level Upper-Intermediate (B2)+.

Why You’ll Love Working at Promova

• 🌍 Impact: Help shape Promova’s culture for a global, growing team.
• 💡 Freedom: Hybrid setup, flexible schedule, and real ownership.
• 🚀 Growth: Continuous learning, conferences, mentorship, and English classes.
• 💙 Wellbeing: 20 paid vacation days, mental health support, and insurance.
• 🎉 Community: You’ll create events and traditions that people will remember.

Interview Process

• Intro-call with Recruiter (40 minutes).
• Meeting with the Hiring Manager (1 hour).
• Reference Check.
• Tech Interview + Bar-raising (1 hour).

Join Us

If you’re ready to turn design experiments into real user impact and shape the next AI-powered learning experience, apply now, and let’s make it happen.

Duration: probably until June for the initial period
Workload: Full-time (9 AM – 6 PM UK time)
Device: Mac required

4+ years of experience.

Tech Stack:
Backend: Node.js, AWS (SNS, SQS, Lambda, EventBridge), event-driven architecture, MongoDB, Serverless, Terraform, GitHub Actions
Frontend: React, Redux, Next.js, MaterialUI
GraphQL, DynamoDB
Jest

Soft Skills:
Result-oriented
Proactive
Collaborative/team-oriented

interview process: 2-steps interview

Our company is developing its own interactive knowledge base. Users can upload any volume of diverse data, after which the system automatically transforms it into structured, searchable content. To achieve this, we use a comprehensive ML pipeline involving OCR, vision-language models, document parsers, and multiple types of data storage. Search is implemented through an LLM-based chat interface that allows users to submit queries in natural language, retrieve relevant documents, and receive summarized findings and recommendations based on the uploaded materials.

We are currently looking for an ML/AI Engineer with deep experience working with unstructured content - primarily photographs and scanned document copies - who will strengthen our team and lead the development of pipelines and solutions for processing this type of data.

We expect the candidate to:

• Have broad experience working with unstructured data and have used both classical OCR systems (Tesseract, PaddleOCR, EasyOCR) and modern models (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Understand the strengths and weaknesses of different architectures and the scenarios in which each is most effective.
• Have hands-on experience training and fine-tuning OCR and Vision-Language models.
• Understand algorithmic approaches to image enhancement, preprocessing, and filtering in order to improve downstream recognition quality.
• Have worked with Docling (including advanced backend tuning for parsing complex PDFs and tables), markitdown, Apache Tika, PyMuPDF, and other tools for document conversion and structuring. Be comfortable with processing layered and non-trivial PDF files.
• Have experience working with self-hosted models, including deploying and optimizing models in vLLM environments on H100-class GPUs and above, and understand the principles of GPU architecture and KV cache.
• Have strong Python programming skills, including architectural patterns, multithreading, asynchronous programming, modern testing practices, and experience operating services under high load (monitoring, telemetry, memory utilization).
• Have experience working with document-oriented, relational, and vector databases, and understand index types and the relevant use cases for each type of storage.

It would be a plus if you have:

• Experience working with Speech-to-Text or Video-to-Text pipelines.
• Experience in content analysis, including classification, summarization, and NER.
• Experience in data engineering: understanding of ETL/ELT processes, experience with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience in DevOps: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other storage systems.
• Understanding of modern cybersecurity approaches.
• Hands-on experience with production-grade RAG-based systems.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

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Наша компанія розробляє власну інтерактивну базу знань. Користувачі можуть завантажувати будь-який обсяг різноманітних даних, після чого система автоматично перетворює їх на структурований, придатний для пошуку контент. Для цього застосовується комплексний ML-пайплайн із залученням OCR, VL моделей, документних парсерів та різних типів сховищ даних. Пошук реалізовано через чат на базі LLM, який дозволяє формувати запити звичайною мовою, отримувати релевантні документи, а також узагальнені висновки та рекомендації на основі завантажених матеріалів. 

Зараз ми шукаємо ML/AI інженера з глибоким досвідом роботи з неструктурованим контентом (насамперед фотографіями та скан-копіями документів), який підсилить нашу команду та очолить напрям розробки пайплайнів і рішень для обробки таких даних. 

Ми очікуємо, що кандидат: 
• Має широкий досвід роботи з неструктурованими даними та застосовував як класичні OCR-системи (Tesseract, PaddleOCR, EasyOCR), так і сучасні моделі (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Розуміє сильні та слабкі сторони різних архітектур і сценарії їх застосування. 
• Має практичний досвід навчання та fine-tuning OCR і Vision-Language моделей. 
• Розуміє алгоритмічні методи покращення зображень, їх попередню фільтрацію та обробку для підвищення якості подальшого розпізнавання. 
• Працював з Docling (включно з тонким налаштуванням бекендів для парсингу складних PDF і таблиць), markitdown, Apache Tika, PyMuPDF та іншими інструментами для конвертації й структуризації документів. Орієнтується у процесингу багатошарових і нетривіальних PDF-файлів. 
• Має досвід роботи з self-hosted моделями, зокрема запуску та оптимізації моделей у середовищах vLLM на GPU рівня H100 і вище, розуміє принципи GPU-архітектури та KV cache. 
• Має сильні навички програмування на Python: архітектурні патерни, багатопоточність, асинхронність, сучасні практики тестування, досвід експлуатації сервісів під високим навантаженням (моніторинг, телеметрія, утилізація пам'яті). 
• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, розуміє типи індексів і відповідні юзкейси для кожного типу сховищ. 

Буде плюсом: 
• Досвід роботи з Speech-to-text або Video-to-text пайплайнами.
• Досвід аналізу контенту: класифікація, сумаризація, NER. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими сховищами. 
• Розуміння сучасних підходів до кібербезпеки. 
• Практичний досвід із системами на основі RAG у продакшені. 

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.