Jobs

About the company

Mabrook is a product company building a next-generation social platform. Our goal is to combine everything a modern user needs in one product: entertainment, booking, and a marketplace.

We are a team of around 30 people, distributed across Europe and the UAE.

We're looking for a Go developer to build new features and microservices for the platform.

Responsibilities

• Develop and optimize high-load microservices with a focus on low latency and resource efficiency.
• Design deterministic and predictable concurrent systems using Go.
• Conduct deep-dive code reviews, focusing on memory safety, allocation efficiency, and performance bottlenecks.
• Implement robust unit and integration tests to ensure system stability under heavy load.
• Optimize database interactions and manage data integrity in a distributed environment.
   

Required Skills

• 6+ years of total backend development experience, including 3+ years of commercial experience with Go.
• Deep understanding of Computer Science fundamentals.
• Proficiency in Concurrency.
• Hands-on experience with memory optimization.
• Solid experience with SQL.
• Understanding of predictable system design rather than just "Clean Architecture" templates.
• Experience with Docker and cloud environments (GCP/AWS).
   

Nice to Have

• Experience with profiling tools to debug CPU and memory leaks.
• Knowledge of binary protocols and efficient data serialization.
• Experience with distributed systems and message brokers.
• Background in low-level languages or systems engineering.
• Familiarity with OpenTelemetry for deep system observability.

Benefits

• Competitive salary based on experience and skills
• 20 paid vacation days
• Sick leaves
• Healthy work–life balance
• Family-first culture
• Flexible work schedule
• Professional growth and development opportunities

We're looking for an experienced Senior Backend Engineer to help build and operate an AI-powered software development platform for a public-sector client. The platform combines LLM-based code generation, AI model integrations, cloud-native backend services, and automated development workflows in a scalable production environment.
 

If you're passionate about distributed systems, modern JVM technologies, cloud infrastructure, and building secure identity-driven platforms, we'd love to hear from you!
 

Core Competence:
 

• 5+ years of professional backend development experience with strong software engineering fundamentals and experience building scalable distributed systems.
• Strong proficiency in Kotlin and/or Java with hands-on experience developing backend applications on the JVM ecosystem.
• Deep experience with Spring Boot / Spring Framework for designing and implementing production-grade microservices.
• Strong understanding of microservices architecture, including service boundaries, API design, inter-service communication, resilience patterns, and distributed system challenges.
• Solid experience with PostgreSQL, including database modeling, schema design, query optimization, and migration management.
• Experience with JUnit for unit and integration testing, with a strong focus on code quality and reliability.
• Hands-on experience with Docker for containerization, image creation, and optimization.
• Strong knowledge of Kubernetes (K8s) for deploying, scaling, and operating cloud-native applications.
• Experience with Helm for Kubernetes package management and deployment automation.
• Proficiency with Gradle for build automation and dependency management.
• Experience with Git/GitLab workflows, including branching strategies, CI/CD pipelines, and code review processes.
• Practical knowledge of OpenID Connect and experience implementing authentication and authorization flows.
• Experience with Keycloak or Ory products, including IAM configuration, realms, clients, and identity flows.
   

Preferred Qualifications:
 

• Experience working with AI-powered platforms, LLM integrations, or AI-assisted development tools.
• Background in digital identity and verifiable credentials ecosystems.
• Knowledge of modern identity standards, including:
  • OpenID4VP — presentation of verifiable credentials.
  • SD-JWT — selective disclosure of individual attributes.
  • OpenID4VCI / OpenID4VC — issuance and management of digital credentials.
  • mdoc (ISO/IEC 18013-5) — mobile document formats such as mobile driver's licenses.
• Experience building secure systems for government, enterprise, or regulated environments.
• Understanding of cloud-native architecture principles and production operations.

• Experience contributing to early-stage platforms and evolving solutions from initial concepts into reliable production systems.

   

What We Offer You:
 

• Cutting-Edge AI Projects: Work on a platform combining LLM technologies, backend engineering, and cloud-native infrastructure.
• Technical Impact: Influence architecture decisions and contribute to building scalable solutions used in real-world environments.
• Modern Engineering Culture: Work with advanced technologies, automation practices, and strong engineering standards.
• Professional Growth: Opportunity to deepen expertise in AI platforms, distributed systems, and digital identity technologies.
• Global Collaboration: Join an international team working on challenging and impactful projects.
• Flexible Work Environment: Remote-friendly setup with a focus on autonomy and work-life balance.

Responsibilities

• Maintain and extend existing functionality in a large legacy PHP 7.4 codebase.
• Design and implement robust solutions for bug fixes, new features, and technical debt reduction.
• Optimize database queries and schema design using PostgreSQL.
• Refactor old modules and participate in gradual modernization plans.
• Collaborate with DevOps and QA to ensure system stability and deployment continuity.
• Participate in technical discussions, code reviews, and architecture planning.
• Work closely with cross-functional teams including product managers and front-end developers.

Requirements

• 5+ years of experience with PHP, including work with legacy systems (ideally PHP 7.x).
• Strong proficiency with PostgreSQL or similar relational databases.
• Deep understanding of object-oriented programming, software design patterns, and MVC architecture.
• Experience with RESTful APIs and integration of third-party services.
• Solid front-end skills with JavaScript and at least one modern framework (React or Vue.js).
• Version control with Git.
• Strong debugging and performance profiling skills.

Nice to Have

• Knowledge of Python for scripting or integration purposes.
• Experience working with SOAP web services and legacy protocols.
• Familiarity with WebSockets and TCP socket-level communication.
• Exposure to systems migration, re-architecture, or code modernization projects.

We Offer

• Competitive salary
• Flexible schedule
• Social package
• Courses, webinars, seminars to increase professional skills
• Snacks & fruit, foosball, fun office environment
• Horizontal hierarchy. No micromanagement pressure
• Open company culture where your ideas and initiatives are valued
• Regular team building & corporate events
• International projects

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

CUSTOMER

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

PROJECT

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

RESPONSIBILITIES

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

QUALIFICATIONS

• At least 5 years of experience as a Data Engineer or Backend/Data Engineer
• Strong production experience with Scala
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams
• At least an Upper Intermediate level of English

WILL BE A PLUS

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

PERSONAL PROFILE

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

Project Description:

Join our Development Center in Bucharest, and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.
You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client.
On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

We are seeking a Senior Java Developer responsible for designing, building, and optimizing high-performance, scalable backend systems using modern Java frameworks and established engineering best practices. The role involves contributing to the development of secure, reliable, and cloud-ready enterprise applications, enhancing system architecture, producing clean and testable code, and ensuring efficient integration with APIs, databases, and distributed services that enable critical reporting and analytics across the organization.

Key Responsibilities:

• Design, develop, and maintain backend Java/Spring Boot microservices and full‑stack applications using ReactJS or Angular.
• Produce clean, secure, and efficient code aligned with engineering standards.
• Contribute across all stages of the product lifecycle in close collaboration with cross‑functional engineering teams.
• Work within an Agile, CI/CD‑driven environment and contribute to improving development workflows.
• Apply architectural concepts to ensure secure, scalable, and highly available solutions.
• Write unit, integration, and automated tests and integrate them into the CI/CD pipeline.
• Participate in design discussions, code reviews, and technical decision‑making.
• Mentor junior developers, promote best practices, and support collaborative team culture.
• Work with business analysts, users, and UI/UX designers to build effective and intuitive solutions.

Mandatory Skills Description:

• 5+ years of development experience in a senior engineering role.
• Backend: strong proficiency in Java, Spring Boot, Spring MVC, Spring Data, and common design patterns.
• Frontend: practical experience with React or Angular (component architecture, state management, forms).
• Microservices: hands‑on experience designing and implementing microservice-based architectures.
• Cloud: familiarity with cloud platforms (preferably GCP) and deploying/managing cloud‑native applications.
• Databases: solid understanding of SQL and relational databases (PostgreSQL, Oracle, BigQuery).
• CI/CD: experience with GitHub Actions, Jenkins, and automated build/deploy pipelines.
• Containers: experience with Docker, Kubernetes, Helm charts.
• Strong analytical and communication skills, initiative, autonomy, and a continuous learning mindset.
• Ability to share knowledge, coach others, and contribute to a positive engineering culture.
• Comfortable working in an Agile environment with evolving requirements.
• Proficiency in spoken and written English.

Nice-to-Have Skills Description:

• Kafka, Pub/Sub, or event-driven design
• Terraform, CI/CD as code
• Performance tuning and distributed tracing (Grafana, OpenTelemetry)
• Security best practices (OAuth2, JWT, IAM, etc.)

Languages:

English: B2 Upper Intermediate

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior C#/.Net Developer to join our team. 

Project: Portfolio management systems for a US financial institution, focused on application migration to a new platform. 

What we are looking for:  

• 5+ years of commercial C#/.NET development experience
• Strong experience developing desktop applications using WPF
• Proficiency with SQL databases
• Strong problem-solving skills and ability to collaborate effectively in a team environment
• Upper-Intermediate level of English or above

What will be a plus: 

• Experience with the Infragistics library
• Experience with other WPF UI libraries (e.g. DevExpress)
• Experience with Java or Oracle

What we offer: 

• Competitive compensation depending on experience and skills
• Regular assessments and salary reviews
• Paid personal days
• Mental health support program
• Language classes (English, Polish, Portuguese)
• Flexible working schedule

About the Product

We are building a US-based, data-driven product with a strong focus on scalability, performance, and cost efficiency.

Our mission is to design a modern data platform that transforms raw behavioral and monetization data into reliable, actionable business insights — in near real-time.

For us, data engineering is not just about moving data.
It’s about:

• Designing resilient architecture
• Optimizing for performance and cost
• Building reliable automation
• Ensuring architectural integrity at scale
•  

Role Overview

We are looking for a Senior Data Engineer who will take ownership of the data platform architecture and drive technical excellence across ingestion, modeling, and performance optimization.

This role requires deep expertise in SQL, Python, AWS infrastructure, and modern data stack principles. You will not only build pipelines — you will define standards, lead architectural decisions, and proactively improve system efficiency.

You will play a critical role in ensuring that data flows seamlessly from event streams to business-ready datasets while maintaining high performance, reliability, and cost control.

What Makes This Role Senior-Level

As a Senior Data Engineer, you will:

• Own architectural decisions for the data platform
• Identify scalability bottlenecks before they become incidents
• Optimize data infrastructure for performance and cost
• Lead technical code reviews and set engineering standards
• Mentor mid-level engineers
• Act as a technical partner to Product and Analytics stakeholders
• Balance real-time and batch processing strategies strategically

Technical Requirements

Must-Have

Expert-Level SQL

• Complex analytical queries and window functions
• Query optimization and execution plan analysis
• Identifying and eliminating performance bottlenecks
• Reducing query complexity and compute costs
• Designing partitioning and clustering strategies

Python

• Advanced data manipulation
• Building scalable ETL/ELT frameworks
• Writing production-grade data services
• Automation and monitoring scripts

AWS Core Infrastructure

• AWS Kinesis Firehose (near-real-time data streaming)
• Amazon S3 (data lake architecture and storage optimization)
• Designing reliable ingestion layers

Version Control

• Git (GitHub / GitLab)
• Branching strategies
• Leading technical code reviews
• Enforcing best practices in code quality

Nice-to-Have

Modern Data Stack

• dbt (modular SQL modeling, documentation, testing)
• Experience structuring layered data models (staging → intermediate → marts)

Data Warehousing

• Google BigQuery
• Slot management
• Cost-efficient querying
• Storage and compute optimization

Advanced Optimization Techniques

• Partitioning
• Clustering
• Bucketing
• Storage layout optimization

Integrations & Infrastructure

• Salesforce data integration
• Docker / ECS
• CI/CD for data workflows

AI / ML Exposure

• Supporting feature pipelines
• Understanding data requirements for ML systems

Key Responsibilities

Data Platform Architecture

• Design and maintain a scalable real-time and batch data platform
• Architect ingestion pipelines using AWS Kinesis and Python
• Ensure high availability and reliability of data flows

Real-Time Processing

• Enable near-real-time (seconds–minutes latency) data processing
• Build systems for operational alerting and anomaly detection
• Ensure early detection of monetization and traffic issues

Data Modeling

• Transform raw event data into business-ready datasets using dbt
• Design scalable, maintainable schemas aligned with product evolution

Performance & Cost Engineering

• Optimize SQL queries and storage structures
• Design cost-efficient partitioning strategies
• Monitor and reduce warehouse and infrastructure costs
• Balance real-time and batch processing appropriately

Engineering Excellence

• Lead and participate in code reviews
• Enforce high standards of performance, security, and maintainability
• Improve observability and monitoring across pipelines

Cross-Functional Collaboration

• Work closely with Data Analysts and Product Managers
• Translate business requirements into scalable technical solutions
• Clearly communicate trade-offs between speed, cost, and complexity

Type of Data We Process

• User behavior events (page views, clicks, searches, conversions)
• Ad & monetization events (impressions, clicks, CTR, attribution)
• System and integration logs (latency, errors, rate limits)

Why Real-Time Is Critical

• Detect broken ads or impression drops before revenue is lost
• Identify traffic anomalies or abuse early
• Enable same-day operational intervention
• Prevent negative user and advertiser experience

Near-real-time (seconds to minutes latency) is required for operational awareness.
Batch processing remains important for historical analysis and reporting — but not for incident detection.

Working Schedule

• Monday – Friday
• 16:00 – 00:00 Kyiv time
• Full alignment with US-based stakeholders

What We Value

• Strong ownership mindset
• Strategic thinking about architecture
• Focus on scalability, reliability, and cost efficiency
• Proactive problem-solving
• Clear communication with both technical and non-technical teams
• Ability to think beyond “just making it work”

Dinarys is an E-commerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions.

We’re looking for a Senior Brand & Content Marketing Manager to shape how Dinarys is perceived in the market and turn our expertise into a scalable marketing engine.

This is a strategic, hands-on role for someone who combines strong content marketing expertise with brand building, SEO, thought leadership, PR, and business storytelling.

You’ll work directly with the CEO, Solution Architects, Delivery teams, and Business Development to strengthen Dinarys’ market positioning, grow our brand visibility, and generate new business opportunities through high-quality content and strategic marketing initiatives.

You’ll thrive in this role if you:

• Think like a business partner rather than only a marketer.
• Love writing and transforming technical expertise into compelling business stories.
• Enjoy interviewing experts and uncovering insights customers actually care about.
• Understand how SEO, content, branding, PR, and demand generation work together.
• Can balance strategy with hands-on execution.
• Constantly test new ideas, channels, and AI-powered workflows.

• Enjoy working directly with founders and technical teams.

   

Responsibilities

• Own and continuously evolve Dinarys’ brand and content marketing strategy.
• Define positioning and messaging across industries, services, and target markets.
• Build and execute thought leadership initiatives around the CEO, technical experts, and company leadership.
• Develop a scalable SEO-driven content strategy aligned with business objectives.
• Create and manage business cases, customer success stories, technical case studies, whitepapers, landing pages, blog articles, and executive content.
• Conduct interviews with customers, Solution Architects, Project Managers, engineers, and leadership to transform expertise into valuable marketing assets.
• Build brand awareness through content, PR initiatives, industry publications, partnerships, webinars, events, and media opportunities.
• Manage content distribution across LinkedIn, newsletters, partner channels, industry media, and owned marketing channels.
• Develop repeatable marketing processes and AI-powered content workflows.
• Identify new growth opportunities, validate marketing hypotheses, and experiment with new formats and channels.
• Measure marketing performance and continuously optimize content, SEO, brand visibility, and campaign effectiveness.

• Collaborate closely with Sales, Business Development, Delivery, and Leadership teams to ensure marketing supports commercial goals

   

Requirements

• 5+ years of experience in B2B Marketing, Brand Marketing, or Content Marketing.
• Strong background in Content Marketing and business storytelling.
• Experience developing and executing marketing strategies.
• Hands-on experience with SEO, content planning, and organic growth.
• Experience building positioning, messaging, and thought leadership initiatives.
• Experience creating customer success stories, business cases, and technical case studies.
• Excellent interviewing and communication skills.
• Experience working with technology companies, software development, SaaS, or ecommerce.
• Excellent English (Upper-Intermediate+ or higher).

• Strong AI adoption mindset and practical experience using AI tools to improve marketing workflows.

   

Nice to Have

• Experience in ecommerce, SaaS, or software development.
• Experience with PR, media relations, and industry publications.
• Experience organizing webinars, conferences, or partnership initiatives.
• Experience with Google Analytics 4, Google Search Console, Ahrefs, Semrush, or similar tools.
• Experience with CMS platforms and marketing automation tools.

• Understanding of demand generation and GTM strategy.

   

What We Offer

• Fully remote work.
• Direct collaboration with company leadership.
• High ownership and freedom to shape Dinarys’ marketing direction.
• Opportunity to build a recognized brand in the international ecommerce technology market.
• A strategic role with significant influence on company growth, positioning, and business development.

About Digis

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

A fast-growing SaaS company developing a Unified API platform that helps software vendors connect their products with financial and business tools.

The platform enables seamless data synchronization across accounting, finance, and other SaaS systems, helping businesses reduce data silos and expand their integration capabilities. You will contribute to the product’s development, architecture, and future technical direction.

Responsibilities

• Scale and optimize the case detection scanner to improve its performance and reliability.
• Decompose the existing API into multiple independent and scalable services.
• Set up a local development environment for emulating Google Pub/Sub and Cloud Run.
• Design and develop an integration connector for Sage.

Requirements

• 5+ years of professional experience with Python.
• 2+ years of hands-on experience with FastAPI or Flask.
• 1+ year of experience with SQL.
• Upper-Intermediate English or higher.

Why This Project Is Exciting

• Autonomy: A results-oriented environment built on trust.
• Product Impact: An opportunity to contribute to the product and its technical direction.
• Stable and Growing Product: Work on an established SaaS platform with international clients.
• Professional Growth: Gain experience with financial integrations and scalable API solutions.

We Offer

• 20 paid vacation days per year.
• 5 paid sick days per year with no medical documentation required.
• A personalized development plan supported by individual professional growth goals.
• Compensation for professional and subject-matter training.
• Necessary work equipment and workplace setup support, if needed.
• Assistance with selecting English courses and compensation for course fees.
• A horizontal organizational structure with open and transparent communication.
• Opportunities to switch between projects and technologies within the company.
• Accounting support.

• • Free access to corporate psychologist services.

We're looking for a Product Adoption Analytics Lead to help turn product usage data into actionable insights that drive user adoption and measurable business impact.

Help shape how thousands of people adopt digital products

Do you enjoy digging into product data, uncovering why users behave the way they do, and turning insights into actions that improve adoption? If you're passionate about analytics that drive real product decisions—not just reporting metrics—we'd love to meet you.

At Beetroot, we're building a team supporting the digital transformation of a global enterprise. As part of the Product Adoption team, you'll work with Product, Learning, Internal Communications, and Engineering to ensure digital products aren't just launched—they're successfully adopted and create lasting value for users.

You'll own the analytics strategy behind product adoption, helping teams understand what drives engagement, where users struggle, and which initiatives truly move the needle.

What you'll do in this role  

• Own product adoption metrics and define KPIs that measure meaningful user engagement.
• Build dashboards and reporting that help teams make data-driven decisions.
• Analyze user journeys, activation funnels, retention, and feature adoption to identify opportunities for improvement.
• Diagnose why adoption stalls and provide clear recommendations to Product and cross-functional teams.
• Partner with Learning, Community, Communications, and Product teams to measure the effectiveness of adoption initiatives.
• Design experiments and measure the impact of new campaigns, onboarding experiences, and product improvements.
• Combine quantitative analytics with qualitative user feedback to uncover actionable insights.
• Measure business value beyond usage, including efficiency gains, user satisfaction, and value realization.
• Present insights and recommendations to stakeholders in a clear, compelling way.

We're looking for

• 5+ years of experience in Product Analytics, Growth Analytics, Product Insights, or Digital Analytics.
• Experience analyzing product usage, user behavior, activation, retention, and adoption metrics.
• Strong experience with product analytics platforms and BI tools such as Tableau, Power BI, Mixpanel, Amplitude, or similar.
• Experience building dashboards, defining KPIs, and translating data into business recommendations.
• Strong understanding of product-led growth metrics and experimentation.
• Experience working with Product Managers and cross-functional teams to improve product adoption.
• Excellent analytical thinking and data storytelling skills.
• Ability to communicate complex findings to both technical and business stakeholders.
• Upper-Intermediate English or higher.

How to knock our socks off

• Experience with enterprise SaaS products.
• Experience measuring AI product adoption.
• Familiarity with A/B testing and experimentation frameworks.
• Experience with user research or customer insights.
• Knowledge of organizational analytics or workplace analytics.
• Experience working in regulated industries.
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

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

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

ORIL is seeking a highly skilled Senior AI/ML Engineer to architect and scale our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of complex systems, and pairs a bias for action with a dedication to robust, stable deployments.

 

Project:

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency. A core AI feature of this platform is an intelligent chatbot designed to help users seamlessly manage workflows, query data, and surface actionable insights.

What are we looking for?

• 5+ years of experience building and owning production-grade backend and ML systems in Python;
• Proven experience designing and deploying complex, multi-step LLM workflows and conversational agents (chatbots) using frameworks like LangChain or LangGraph;
• Deep understanding of RAG (Retrieval-Augmented Generation) pipelines: from chunking and embedding strategies to retrieval optimization and prompt engineering;
• Experience with "Text-to-SQL" or translating natural language into complex data queries, as the chatbot will interact heavily with BI analytics;
• Experience with LLM observability, tracing, and evaluation frameworks (e.g., Langfuse, Braintrust, Arize Phoenix, Ragas, or DeepEval);
• Experience with systematic prompt lifecycle management, versioning, and algorithmic optimization (e.g., DSPy);
• Experience profiling and minimizing time-to-first-token (TTFT) and overall response latency for real-time conversational agents;
• Strong analytical skills with the ability to explore datasets, identify patterns, measure outcomes, and derive actionable insights; 
• Familiar with data cleaning and normalization techniques to ensure accurate, consistent, and reliable data for analysis and AI-driven applications;
• Curious about how multi-family real estate works and motivated to understand the key metrics behind the business (marketing spend, operational efficiency etc.) to better tune AI outputs;
• English level: Upper-Intermediate (B2+).

What will you do?

• Design, develop, and own the core AI architecture powering the platform's intelligent chatbot and automated BI insights;
• Build and refine advanced RAG pipelines to ensure the chatbot surfaces accurate;
• Develop robust AI agents capable of managing platform processes and executing complex operational tasks on behalf of the user;
• Set up and maintain automated CI/CD gates that run LLM evals and integration tests;
• Maintain a high shipping tempo, continuously iterating on chatbot features based on user feedback and internal telemetry;
• Diagnose and fix complex issues in the AI pipeline using advanced tracing and observability tools;
• Work closely with data engineers and product managers to refine the technical roadmap and ensure the AI seamlessly integrates with the broader BI platform.

We Offer:

Working conditions:

• Ability to grow with an ambitious niche-focused company
• Competitive compensation;
• Accounting Support Services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events
• Education & certification budget + corporate education events and trainings
• Wellness budget
• The environment and culture that promotes personal and team development.

Application Process:

• Initial Screening: Call with Recruiter.
• Technical Interview.
• Client Interview.
   

Ready to build the future of AI-driven real estate operations? Apply now and let’s get to work!

Akurateco is a payment orchestration and white-label payment gateway provider. The platform integrates 250+ payment providers globally and enables businesses to operate a fully brandable, PCI DSS-compliant gateway, managing multiple payment channels within a single ecosystem.

Join our team as a Senior Business/System Analyst and make a real impact! We are looking for a sharp, proactive professional who thrives at the intersection of business and technology.
 

Requirements:

• At least 5 years of hands-on experience in business analysis, particularly in the fintech, financial services, or payment processing industries.
• Proven expertise in analyzing business needs and translating them into clear, actionable requirements (user stories, acceptance criteria, risk assessments, and dependency mapping).
• Strong understanding of system analysis principles, including data flows, architecture components, and API interactions.
• Solid background in Agile methodologies (JIRA, Confluence), with experience in backlog refinement, sprint planning, and documentation.
• Postman Experience: Collection Creation, Add Requests, Organize Workflows, Add Scripts.
• Exceptional analytical, problem-solving, and communication skills, with a focus on stakeholder management.
• English Upper-Intermediate with excellent written and verbal communication skills.

Nice to Have:

• Experience with APIs, system architecture, or databases is a bonus.

Key Responsibilities:

• Capture, analyze, and validate business requirements by working closely with internal and external stakeholders.
• Lead discovery sessions, workshops, and requirement-gathering meetings to align technical solutions with business objectives.
• Analyze third-party API documentation and create integration specifications for back-end developers.
• Maintain clear and detailed documentation, including use cases, process flows, UML diagrams, and wireframes.
• Define and document structured functional and non-functional requirements, ensuring clear prioritization based on business needs, feasibility, and risk.
• Act as a bridge between business and technology, translating business needs into technical specifications.
• Collaborate with solution architects and developers to refine system requirements and ensure technical feasibility.
• Assist in functional testing and validation to ensure that requirements are met before deployment.

What we offer:

• Competitive compensation depending on experience and skills;
• Remote-first work environment with flexible working hours;
• 20 paid vacation days annually for rest and recharge;
• 10 days of sick leave, available as needed;
• Corporate English and Spanish classes.

  We're building a language learning platform designed to make mastering new languages engaging, accessible, and effective. Our product helps users learn English, Spanish, French, German, and Italian through modern, interactive content and personalized learning experiences.

   As we prepare for launch, we're looking for an Organic Growth Lead to build and scale our organic social media presence. You'll define the content strategy, grow an ecosystem of social media accounts across multiple platforms, and lead a team focused on creating engaging short-form video content that attracts and converts users organically.

  If you're passionate about social media growth, love experimenting with content formats, and know how to turn views into user acquisition, we'd love to hear from you.

Responsibilities

• Set up and manage approximately 30 accounts across Instagram, Facebook, TikTok, and YouTube.
• Develop an organic growth strategy based on short-form video content.
• Create content plans and coordinate video production, publishing, and localisation.
• Manage the SMM team, assign tasks, monitor deadlines, and ensure content quality.
• Analyse account performance, audience growth, engagement, reach, and conversions.
• Test new content formats, trends, hooks, and publishing strategies.
• Ensure account security and compliance with platform guidelines.

Required Experience and Skills

• 5+ years of experience in SMM, organic marketing, or social media growth.
• Experience working in a product company or digital marketing agency.
• Proven experience generating organic traffic through TikTok, Instagram Reels, Facebook Reels, or YouTube Shorts.
• Experience managing multiple social media accounts and an SMM or content team.
• Strong understanding of social media algorithms, trends, analytics, and audience retention.
• Knowledge of Meta Business Manager, TikTok Business Center, and YouTube Studio.
• Understanding of account security, access management, platform restrictions, copyright, and content policies.
• Experience with content planning, short-video production, A/B testing, and performance reporting.
• English level B2 or higher.

We are looking for a Senior Data Engineer to join our team. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated - both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.

Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.