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

About the Role

At Coreblocks, we're looking for a Python Backend Engineer to help build the next generation of financial infrastructure. You'll work on scalable backend services, distributed systems, and AI-powered capabilities that support our platform. This role combines backend engineering, data processing, API development, and modern AI integrations, with a strong focus on performance, reliability, and scalability.

Key Responsibilities

Backend Engineering

• Design, develop, and maintain scalable backend services using Python (FastAPI, Django, or Flask).
• Build clean, maintainable, and well-tested code following modern software engineering practices.
• Improve the performance, reliability, and scalability of existing services.

Data Processing & System Integrations

• Develop and optimize data ingestion, ETL, and real-time processing pipelines.
• Integrate backend services with financial infrastructure, blockchain components, and third-party platforms.
• Ensure efficient and reliable data movement across distributed systems.

AI & Intelligent Services

• Collaborate with AI and Data teams to integrate LLM-powered capabilities and machine learning features into backend services.
• Implement semantic search, intelligent categorization, and AI-driven automation.
• Contribute to RAG-based and AI-enhanced product functionality where applicable.

API & Microservices

• Design and maintain secure, well-documented RESTful and gRPC APIs.
• Build reliable communication between internal microservices and external partners.
• Ensure API stability, performance, and security across the platform.

Database & Performance Optimization

• Optimize PostgreSQL queries, database schemas, and indexing strategies.
• Work with Redis to improve caching, throughput, and overall application performance.
• Design backend services capable of handling concurrent workloads efficiently.

Engineering Excellence

• Participate in code reviews and architectural discussions.
• Write unit and integration tests to ensure software quality.
• Contribute to engineering standards, documentation, and continuous technical improvements.

Requirements

Technical Background

• 3+ years of commercial experience developing backend applications with Python.
• Strong hands-on experience with FastAPI and asynchronous programming using asyncio.
• Experience designing and maintaining production-grade backend services.

Databases

• Strong knowledge of PostgreSQL and SQL optimization techniques.
• Experience working with NoSQL databases and Redis.
• Practical experience with vector databases such as Pinecone, Milvus, Weaviate, or similar for AI-powered search and retrieval systems.

Cloud & DevOps

• Experience with Docker and CI/CD pipelines (GitHub Actions or GitLab CI).
• Experience working with AWS or Google Cloud Platform.

Financial & Technical Domain

• Understanding of financial systems, transaction processing, payment flows, or blockchain-based architectures.
• Familiarity with distributed systems and scalable backend design.

Collaboration

• Strong analytical and problem-solving skills.
• Comfortable working in a remote, cross-functional engineering team.
• Professional English (B2+) or higher.

Nice to Have

• Experience with Node.js or TypeScript.
• Hands-on experience with AI development tools such as Cursor, Claude, GitHub Copilot, or similar.
• Familiarity with Kafka, RabbitMQ, Airflow, Prefect, or other messaging and orchestration technologies.
• Experience building or supporting AI-enabled backend services, RAG architectures, or LLM integrations.

Hey there!

It’s an amazing time to join Digicode as we continue empowering as many innovators as possible to change the world. We deliver outstanding technology consulting, R&D, design, and software development services in the USA, UK, and EU markets. This is where you come in.

Join a strategic digital transformation initiative for a leading Swiss enterprise, focused on expanding AI-driven capabilities within the ServiceNow platform. The project centers on implementing Case Management and Customer Service Management (CSM) solutions while leveraging Now Assist (GenAI) to automate service desk operations, optimize business workflows, and improve user experience. You’ll collaborate closely with business stakeholders, service desk teams, and solution architects to design and deliver intelligent.

Responsibilities:

• Design, configure, and implement ServiceNow Case Management and CSM solutions
• Configure and optimize Now Assist (GenAI) capabilities, including prompt engineering and AI use cases
• Develop workflow automation using Flow Designer, including approval process optimization
• Configure Virtual Agent and conversational AI solutions
• Collaborate with business stakeholders to identify automation opportunities and translate requirements into scalable ServiceNow solutions
• Lead workshops and support AI use-case discovery and implementation
• Configure and customize ServiceNow applications following platform best practices
• Participate in Agile ceremonies, sprint planning, and solution design discussions

• Produce technical documentation and support knowledge sharing across the team

   

Requirements:

• 5+ years of hands-on ServiceNow experience
• Strong experience with Customer Service Management (CSM) and/or Case Management
• Experience configuring Now Assist (GenAI), AI prompts, and AI-driven workflows
• Strong knowledge of Flow Designer and workflow automation
• Experience implementing Virtual Agent
• Ability to work directly with business stakeholders and gather functional requirements
• Experience delivering end-to-end ServiceNow solutions in enterprise environments
• Strong understanding of Agile/Scrum methodologies

• English — Upper-Intermediate (B2+) or higher

   

Nice-to-have:

• Experience with Knowledge Management (Case-to-Knowledge)
• Experience with Employee Center and HR Service Delivery (HRSD)
• Experience supporting SAP SuccessFactors integrations or HR transformation initiatives
• German language skills
• ServiceNow CSA certification
• CIS-CSM certification

• Now Assist / GenAI micro-certifications

   

What To Expect From Digicode?

🌎 Work from Anywhere: From an office, home, or travel continuously if that’s your thing. Everything we do is online. As long as you have the Internet and your travel nomad lifestyle doesn’t affect the work process (you meet all deadlines and are present at all the meetings), you’re all set.

💼 Professional Development: We offer great career development opportunities in a growing company, international work environment, paid language classes, conference and education budget, & internal 42 Community training.

🧘‍♂️ Work-life Balance: We provide employees with 18+ paid vacation days and paid sick leave, flexible schedule, medical insurance for employees and their children, monthly budget for things like a gym or pool membership.

🙌 Culture of Openness: We’re committed to fostering a community where everyone feels welcome, seen, and heard, with minimal bureaucracy, and a flat organization structure.

And, also, corporate gifts, corporate celebrations, free food & snacks, play & relax rooms for those who visit the office.

Did we catch your attention? We’d love to hear from you! 🚀

*By submitting your resume, you automatically agree to the storage and processing of your personal data in accordance with the current legislation of Ukraine. We guarantee confidentiality at all stages of cooperation

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

We're looking for an Interview Engineer to help shape fair, high-signal technical hiring for software engineers worldwide.

Join a global network of engineers and make an impact beyond writing code.

If you're an experienced software engineer who enjoys evaluating technical talent and cares about fair hiring, this role offers a genuinely different way to apply your expertise — well-compensated, and with up to 100 interviews per month, you'll directly influence the hiring outcomes of hundreds of engineers worldwide.

This is also an opportunity to challenge yourself in a new dimension — sharpening your communication, evaluation, and technical breadth while gaining exposure to a wide range of engineering backgrounds, problem-solving approaches, and technologies that pure coding roles rarely offer.

This role starts as a full-time engagement for the first 3 months, with the possibility to transition to a part-time format afterwards — making it a great fit for engineers looking for flexibility down the line.

Our client runs a leading technical interviewing platform used by companies ranging from fast-growing startups to large enterprises. Their model pairs experienced engineers with standardized interview frameworks to help organizations hire more accurately and fairly — at scale, across the globe. As an Interview Engineer, you'll play a key role in that mission, helping companies identify exceptional talent while creating meaningful career opportunities for developers around the world.

What you'll do in this role  

• Interview — Facilitate live technical interviews through the platform with software engineering candidates worldwide. Build a professional, inclusive experience while assessing fundamental coding skills, problem-solving ability, and technical knowledge.
• Evaluate — Deliver structured, objective feedback on each candidate's coding style, technical approach, communication, and knowledge-question responses — using established criteria that mitigate bias and improve hiring signal.
• Partner — Collaborate with the client's internal teams to test and refine interview content, processes, and platform features, contributing your frontline perspective to continuous improvement.

We're looking for

• 5+ years of professional experience as a Software Developer or Engineer, with strong Python proficiency and at least a working understanding of frontend technologies (e.g. JavaScript, React, or similar).
• Solid grasp of algorithms, data structures, and software engineering fundamentals.
• Excellent English communication skills — written and spoken — with the professionalism to put candidates from any background at ease.
• Ability to deliver objective, structured assessments under a consistent evaluation framework.
• Reliable webcam, microphone, and stable internet connection.

How to knock our socks off

• Previous experience conducting technical interviews (data structures, algorithms, system design)
• Experience mentoring, coaching, or guiding other engineers technically.
• Interest in talent assessment, interviewing methodologies, or inclusive hiring practices.
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

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

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

Місія ролі:
Забезпечити операційний кіберзахист AI-платформи та AI-сервісів: security monitoring, incident response, vulnerability management, IAM control, auditability, detection engineering і взаємодію з внутрішніми або зовнішніми SOC/IR-командами. Це роль, яка відповідає за те, щоб AI-рішення не були “чорною коробкою” з точки зору безпеки, логування, реагування та контролю.

Обов’язки:
-Налаштування security monitoring для AI-платформи.
-Визначення обов’язкових security logs для AI-сервісів, API, admin actions.
-Побудова detection rules та alerting.
-Управління vulnerability backlog.
-Контроль IAM, privileged access і audit logs.
-Підготовка incident response playbooks.
-Проведення security reviews перед production release.
-Взаємодія з DevOps, AppSec, PM і зовнішніми security-партнерами.
-Участь у прийманні vendor-рішень з точки зору operational security.

Вимоги:
-4+ роки досвіду в SecOps, SOC, infrastructure security або security engineering.
-Досвід роботи з SIEM/log management: Microsoft Sentinel, Splunk, Elastic, OpenSearch, Wazuh або аналоги.
-Практичний досвід incident response: triage, containment, escalation, post-incident review.
-Досвід vulnerability management: scanning, prioritization, remediation tracking.
-Розуміння IAM, MFA, privileged access, RBAC, service accounts.
-Розуміння Linux hardening, network security, firewalling, TLS, VPN.
-Досвід створення security playbooks/runbooks.
-Вміння читати технічні логи та знаходити аномалії.
Бажано:
-Досвід Kubernetes/container security.
-Досвід з MITRE ATT&CK, NIST, ISO 27001.
-Досвід у regulated або critical environments.
-Досвід побудови detection rules для API, identity, infrastructure та application events.
-Досвід інтеграції security logging з DevOps/MLOps платформами.

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр

-Можливе бронювання


Умови для чинних військових:
-Військова служба 

-Служба в Києві (житло не надається), Центр, Київ

-повне грошове забезпечення для тилової посади

Місія ролі:
Забезпечити надійну, безпечну та автоматизовану інфраструктуру для AI/ML-рішень: від середовищ розробки й CI/CD до production deployment, observability, secrets management, model serving та підтримки AI-сервісів в обмежених або гібридних середовищах. Це не просто класичний DevOps. Для CAIO-команди потрібен інженер, який розуміє, що AI-рішення мають додаткові вимоги: версіонування моделей, контроль даних, reproducibility, GPU/CPU workloads, evaluation pipeline, rollback моделей і моніторинг якості AI-сервісів.

Обов'язки:
-Побудова та підтримка інфраструктури для AI-сервісів.
-Автоматизація deployment, rollback, configuration і release management.
-Побудова CI/CD pipelines для backend, frontend, data/ML components.
-Підтримка model serving environments.
-Впровадження observability для AI-сервісів: метрики, логи, traces, алерти.
-Забезпечення repeatability середовищ: dev/test/stage/prod.
-Підтримка security baseline разом із SecOps та AppSec.
-Документування deployment/runbook процедур разом із Technical Writer.
-Підтримка vendor-delivered компонентів після приймання в експлуатацію.

Вимоги:
-4+ роки практичного досвіду в DevOps, platform engineering, SRE або infrastructure automation.
-Production-досвід з Linux, Docker, CI/CD, GitOps або близькими практиками.
-Практичний досвід з Kubernetes або Docker Compose / Nomad / іншими orchestration-підходами.
-Досвід побудови CI/CD pipelines для backend-сервісів.
-Досвід з IaC/config management: Terraform/OpenTofu, Ansible, Helm, Kustomize або аналоги.
-Розуміння мереж, TLS, DNS, reverse proxy, firewall, VPN, service discovery.
-Досвід з secrets management, RBAC, service accounts, audit logs.
-Досвід моніторингу та логування: Prometheus, Grafana, Loki, ELK/OpenSearch, VictoriaMetrics або подібні інструменти.

Бажано:
-Досвід MLOps: MLflow, Kubeflow, KServe, BentoML, Ray, Airflow, Prefect, Argo Workflows.
-Досвід розгортання LLM або ML models: vLLM, Triton, Ollama, Hugging Face stack, model registry.
-Досвід з GPU workloads, NVIDIA drivers, CUDA runtime, resource scheduling.
-Досвід роботи з on-prem, hybrid або isolated/air-gapped environments.
-Досвід у defence, govtech, fintech, telecom або critical infrastructure.

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

At UAI Labs, we're building the next generation of intelligent automation — tools and solutions that help companies work smarter, faster, and more creatively. We take on the repetitive, manual, "why-is-this-still-done-like-this?" work so people can focus on skills that matter.

As a growing startup, we move fast, experiment often, and love turning ambitious ideas into real products. You'll work with emerging tech and contribute to meaningful projects from day one. Here, curiosity is an advantage, and creativity is part of the job description.

If you want to solve real problems and shape the future of automation, you'll feel right at home.

About the Role

We are looking for a strategic, highly skilled UiPath Solution Architect to lead the design and implementation of scalable, enterprise-grade automation solutions across the organization. In this role, you will define solution architectures, guide technical direction, and ensure alignment between business objectives and technology choices.
 

Responsibilities

• Own the end-to-end architecture for complex automation initiatives, from feasibility assessment through deployment
• Design enterprise-grade UiPath solution architectures, reusable components, and reference frameworks (REFramework and beyond)
• Define architectural standards, governance models, and best practices for the automation Center of Excellence (CoE)
• Evaluate solution options and validate technical feasibility across business processes
• Align automation architecture with organizational strategy and business goals
• Architect integrations across enterprise systems (ERP, CRM, cloud platforms, SaaS)
• Oversee Orchestrator design, infrastructure planning, and system interoperability
• Conduct design and code reviews to ensure compliance with architectural principles and coding standards
• Provide technical leadership and guidance to developers, business analysts, and the broader CoE team

• Stay up to date with emerging technologies, including AI-enabled automation and cloud-native patterns

   

Required Skills & Qualifications

• 10+ years of experience in solution architecture, software engineering, or related roles
• Hands-on experience designing and implementing enterprise-scale automation solutions using UiPath (Orchestrator, REFramework, AI Center, etc.)
• Strong background in software architecture and integration design
• Experience designing distributed and scalable systems
• Proficiency in one or more programming languages (Python, Java, C#, Node.js)
• Solid understanding of APIs, cloud platforms (AWS, Azure, or GCP), and security principles
• Experience producing architectural documentation and diagrams
• Strong leadership and stakeholder management skills

• Strong professional English communication skills (spoken and written)

   

Preferred Qualifications

• UiPath Solution Architect or Advanced Developer Certification
• Knowledge of AI/ML-enabled use cases and digital transformation initiatives
• Experience with containerization and orchestration (e.g., Kubernetes)
• Understanding of compliance, IAM, and auditing requirements

• Experience working in or defining Centers of Excellence (CoE)

   

Who You Are

• A strategic thinker with strong technical depth
• Comfortable balancing hands-on involvement with high-level architecture
• A trusted advisor to senior stakeholders
• Passionate about designing scalable, future-proof solution landscapes

We are looking for a Senior PHP Symfony Developer

Information: 80% remote, 20% on-site in Düsseldorf

Responsibilities:
Design, development and implementation of modern web solutions using PHP, HTML5, CSS3 and JavaScript or jQuery
Development of web applications based on established frameworks, particularly Symfony 6+ or Laravel
Optimisation, maintenance and continuous development of existing web solutions
Participation in complex development projects, potentially including architectural or technical leadership responsibilities
Independent ownership of tasks and roles within a Scrum team
Technical support, onboarding and coaching of new or less experienced team members
Ensuring high code quality and structured, transparent version control using Git

Candidate profile:
A completed degree in computer science, business informatics or a comparable IT-related field, or extensive relevant professional experience: at least five years with completed vocational training or at least six years without vocational training
At least three years of professional experience in PHP application development
Senior-level experience in development with PHP and Symfony
At least two years of practical experience with Symfony, or comparable experience with Laravel
At least twelve months of web development experience within the past three years
At least twelve months of experience with Symfony or Laravel within the past three years
Demonstrable involvement in complex development projects, ideally with architectural, coaching or leadership responsibilities
Experience with agile development methodologies, particularly Scrum
Ideally, experience in a technical leadership or consulting role

Excellent written and spoken German skills at a minimum B2 level or native-level proficiency
Independent, structured and solution-oriented working style
Strong teamwork and communication skills

Mandatory technical skills:
PHP
Symfony 6 or higher
Git

Desirable skills:
Laravel
HTML5, CSS3, JavaScript and jQuery
Bootstrap
Composer
npm and automated build or deployment pipelines
Jira and Confluence
Synchronous and asynchronous encryption or processing mechanisms using Symfony

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”

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.

WHO WE ARE

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms. Our legacy is grounded in the successful execution of the Hivecell product. We're committed to helping companies implement their product strategies and turn data into real, measurable value.

WHO WE ARE LOOKING FOR

We are seeking an experienced Data Scientist to join an exciting project for our client, Flow — a forward-thinking company transforming the way people live, work, and connect. You will work on real-world data challenges at the intersection of edge computing and data platforms, turning complex, large-scale data into models and insights that directly shape Flow's digital ecosystem and drive measurable product value.

KEY RESPONSIBILITIES

• Design, develop, and deploy machine learning models and statistical solutions that address real business problems
• Collaborate with product, engineering, and domain teams to translate requirements into data-driven solutions
• Conduct exploratory data analysis and feature engineering on large, complex datasets
• Build and maintain scalable data pipelines to support model training, evaluation, and inference
• Define and track model performance metrics; monitor models in production and drive continuous improvement
• Communicate findings, methodologies, and results clearly to both technical and non-technical stakeholders

• Contribute to the team's data science best practices, tooling, and documentation

   

WHAT YOU BRING ALONG

• 4+ years of professional experience as a Data Scientist or in a similar role
• Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques
• Experience with deep learning frameworks (TensorFlow or PyTorch) is expected at this level
• Hands-on experience deploying models to production environments (REST APIs, containerization, cloud platforms)
• Proficiency with SQL and working with relational or distributed data stores
• Familiarity with MLOps practices: experiment tracking, model versioning, monitoring (e.g., MLflow, Weights & Biases)
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Practical experience leveraging AI-powered tools (e.g., GitHub Copilot, ChatGPT, or similar) to enhance productivity and accelerate development workflows
• Working knowledge of: graph databases (Memgraph, Neo4j, or similar); edge inference runtimes (ONNX Runtime, llama.cpp, ExecuTorch); gradient boosting frameworks (XGBoost, LightGBM, CatBoost); time-series analysis on IoT or sensor data streams; Snowflake and dbt-based analytics pipelines
• English proficiency at B2 level or higher — able to communicate effectively in a professional setting, both written and spoken

WILL BE A PLUS

• Experience with edge computing or IoT data streams
• Knowledge of time-series analysis and anomaly detection
• Familiarity with data orchestration tools (Airflow, Prefect, or similar)
• Contributions to open-source projects or published research
• Experience in a product-focused or startup environment

SOFT SKILLS

• Strong analytical thinking with a pragmatic, solution-oriented mindset
• Ability to work independently and take ownership of tasks end-to-end
• Clear and concise communication — able to explain complex concepts to non-technical audiences
• Collaborative attitude and comfort working in cross-functional teams
• Intellectual curiosity and a continuous drive to learn and improve
• Comfort with ambiguity and the ability to prioritize effectively in a fast-paced environment

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!