Jobs

About Us:

Entravel is a member’s club for discounted luxury travel and white-label hotel platform provider focusing on the crypto industry, backed by VCs and prominent European founders. Our hotel product is incredibly strong; we offer more than one million properties, and our rates are amongst the lowest in the world. In fact, on most 5* hotels you won’t find a platform with lower rates than Entravel.

What We’re Looking For:

We are actively seeking a talented and experienced Senior Fullstack Developer specializing in .Net Core to join our dynamic team. As a pivotal member of our development team, you will contribute to architecting and implementing robust backend solutions that drive the success of our innovative hotel booking platform.

Responsibilities:

• Design and develop scalable, high-performance backend services using .Net Core;
• Collaborate with cross-functional teams to define and implement new features;
• Ensure the security and integrity of our backend systems;
• Optimize and maintain existing codebase for improved performance;
• Participate in code reviews and provide constructive feedback to peers.

Requirements:

• 5+ years related experience;
• Strong experience in C#, .NET Core 3.1 — 8;
• Good experience with React, TypeScript;
• Understanding of the OOP principles, design patterns, SOLID;
• Experience in designing and developing multithreaded high-load applications;
• Experience with microservice architecture;
• Strong experience with PostgreSQL, MongoDB, Redis;
• Good experience with RabbitMQ, Kafka;
• Experience with Kibana, Prometheus, Grafana;
• Proven track record in delivering scalable and secure backend solutions;
• Excellent problem-solving and analytical skills;
• Strong communication skills, able to collaborate effectively across teams in both English and Ukrainian.
• Ability to create unit tests;
• Experience with version control systems, primarily Git.

What We Offer:

• Flexible Start: Set your own comfortable working hours that accommodate your individual needs.
• Competitive Salary: High standards of remuneration reflecting your contribution and skills.
• Vacation: Enjoy 22 days of vacation for full rejuvenation and life enjoyment.
• Sick Leave: Ensure your health with 15 days of sick leave per year.
• Special Leave Cases: Support for significant life events such as weddings, childbirth, or the loss of a close family member.

Delasport — Implementing Technological Solutions Here and Now

Delasport is an iGaming Software company providing Sports Betting & Online Casino software, and turnkey B2B solutions. Established in 2010, Delasport delivers a one-stop-shop solution of Sports Betting and Online Casino from a White-Label, with a full range of management services to a Plug&Play iFrame and a complete Turnkey. We are establishing an R&D centre in Kyiv, and are looking for top talents to join our team.
 

RESPONSIBILITIES

• Design, develop, and maintain backend services and frontend components
• Rework existing endpoints and business logic
• Write reusable, maintainable and efficient code
• Rewriting legacy code implementations
• Improving existing code base and unit tests coverage
• Participate in dailies and planning meetings
• Participate in code reviews and release process
• Participate in decisions for picking tools or applying code conventions
• Bug fixes
   

REQUIREMENTS

• 5+ years as a full stack Developer
• 2+ years of experience with modern frontend frameworks (React, Vue, or Angular).
• Experience with backend frameworks
• Proficiency in Databases (performance optimization, indexing, schema design)
• Experience with Docker, Jenkins/CI pipelines, Git workflows and monitoring tools
• Experience with caching layers (Redis, Memcached)
• Strong knowledge in TypeScript, JavaScript, HTML, SCSS
• Experience with GraphQL, REST, WebSockets
• Good understanding of coding principles
• Habits of writing clean code
• Knowledge of message brokers such as RabbitMQ or Apache Kafka is a plus
• Experience with Vue and Nuxt is a plus
• Experience with PhP frameworks is a plus
• Proactive and Self-motivated person
• A good level of English
   

WHAT WE CAN OFFER YOU

• Modern office in Podil with an uninterruptible power supply and the Internet
• Personal time off (21 business days of paid vacation, paid days on special occasions, sick leaves, emergency days off)
• Public holidays
• Health insurance with the broker which is available from the first month of cooperation
• Life insurance with the broker which is available from the first month of cooperation
• Modern technical equipment
• English courses with native speakers
• Ukraine-based educational programs
• Sports activities reimbursement
• Corporate entertainments
• Happy hours on Fridays
• Gig contract support

Respaid.com - Y Combinator S23 | AI-Native FinTech | Remote

Who we are
Respaid unlocks hidden B2B revenue through respectful, AI-powered debt collection. 20 people spread across the US & Europe – including 10 Ukraine-based engineers – ship weekly thanks to Linear, GPT-4 agents and full-stack automation. Backed by Y Combinator plus founders of Dropbox & Docker.

Why this role exists
Half our team is Ukraine-based; you'll ensure no cycle is wasted on blocked work, ritual overhead, or "What's the priority?" thrash. You're the conductor who spots stalls before they hit standup, translates PM vision into dev-ready slices, and ships small so we learn fast.

Day-to-day ownership

• Turn roadmap epics into ≤3-hour stories (acceptance + one KPI per story).
• Keep the Linear board relentlessly current: triage, priorities, dependencies.
• Run daily async check-ins (n8n bot + 5-min Loom); escalate blockers same-hour.
• Orchestrate releases: QA → staging signoff → Friday demo → prod rollout.
• Automate status pings, digest reports, and ritual reminders (you'll have an n8n dev at your service).
• Co-own cycle planning: scope, commitments, risk/capacity check.

Projects you'll drive in Month 1

• Polish the "connect 600 accounting softwares" epic into a ship-ready backlog.
• Archive / split / kill 100+ stale backlog items; defend the ≤3h rule.
• Replace manual status pings with a webhook → AI summary → Slack flow.
• Instrument Mixpanel funnels & weekly KPI digest for the PM team.

Must-have super-powers

• 2–4 years delivering SaaS / FinTech (less if you're a provable wizard).
• Crystal-clear written English.
• Hands-on with Linear or demonstrable 24-h mastery curve (Jira / Asana / ClickUp ok).
• Automation instinct: Zapier / n8n / Replit hacks to kill toil.
• Bonus: AI prompt-crafting, no-code prototyping, payment-domain background.

Perks

• Full-time, fully-remote (own your agenda).
• Flexible hours (core overlap GMT +2/+3).
• PTO + national holidays + unlimited sick days.
• Private health plan, UA/EN language courses, English lessons.
• Paid day off on your birthday (and your kids' 🎂).
• Zero red-tape access to CEO & CTO; path to Head of Delivery for top performers.

How to apply

1. Complete our 5-question Typeform (link in job post).
2. Top 1% receive a paid 2-hour Linear challenge.
    Pass it → 30-min CEO call → offer.

🚀 Ready to help humans & AI sprint together?
Hit Apply – show us one manual process you automated and its ROI.

Description

Our client is an innovative manufacturer of medical devices in the United States, producing devices and software applications.

In this project, you will have a great opportunity to be involved in the full development life cycle of medical software, which is designed to assist individuals by processing information from medical devices to identify health trends and track daily activities. In addition, there are opportunities to work with medical devices, in the scope of end-to-end testing.

Requirements

Languages:
· Proficiency in Python (or Go). Shell scripting and Terraform familiarity are a plus.

Cloud & Infrastructure:
· Hands-on experience with AWS (IAM, SQS, RDS, Redis/ElastiCache, S3, SNS, Lambda, VPC).
· Experience validating infrastructure via Terraform or Terratest.
· Kubernetes fluency (namespaces, Helm, ConfigMaps, RBAC, Services, Pods, HPA).

Testing & Validation:
· Experience designing black-box/gray-box tests for infrastructure and configuration correctness.
· Familiar with GitOps or Infrastructure-as-Code testing practices.

Observability:
· Proficient with New Relic, OpenTelemetry, or similar platforms to track real-time application and resource performance.

Performance Testing:
· Experience designing and analyzing results from performance and load testing frameworks.

Nice to have:
· Experience with service meshes (Istio, Linkerd) or sidecar observability.
· Familiarity with GitLab pipelines, Argo CD, and Helmfile/Helm charts.
· Background in SRE or DevSecOps practices.
· Experience with Cilium and eBPF observability, (layer 3, 4, and 7)

Job responsibilities

 – Perform testing on software systems without user interfaces, focusing on API testing.
 – Develop, execute, and maintain automated test scripts to ensure software quality and reliability.
 – Write and maintain code. 
 – Utilize Python for scripting and automation tasks.
 – Use Selenium WebDriver for web application testing.
 – Implement performance testing using Jmeter.
 – Apply solid QA practices including black box testing, risk-based testing, system testing, regression testing, and exploratory testing to identify and resolve issues.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About the Platform

We’re building a unified data ecosystem that connects raw data, analytical models, and intelligent decision layers.
The platform combines the principles of data lakes, lakehouses, and modern data warehouses — structured around the Medallion architecture (Bronze / Silver / Gold).
Every dataset is versioned, governed, and traceable through a unified catalog and lineage framework.
This environment supports analytics, KPI computation, and AI-driven reasoning — designed for performance, transparency, and future scalability. (in Partnership with GCP, OpenAI, Cohere)
 

What You’ll Work On

1. Data Architecture & Foundations

• Design, implement, and evolve medallion-style data pipelines — from raw ingestion to curated, business-ready models.
• Build hybrid data lakes and lakehouses using Iceberg, Delta, or Parquet formats with ACID control and schema evolution.
• Architect data warehouses that unify batch and streaming sources into a consistent, governed analytics layer.
• Ensure optimal partitioning, clustering, and storage strategies for large-scale analytical workloads.

2. Data Ingestion & Transformation

• Create ingestion frameworks for APIs, IoT, ERP, and streaming systems (Kafka, Pub/Sub).
• Develop reproducible ETL/ELT pipelines using Airflow, dbt, Spark, or Dataflow.
• Manage CDC and incremental data loads, ensuring freshness and resilience.
• Apply quality validation, schema checks, and contract-based transformations at every stage.

3. Governance, Cataloging & Lineage

• Implement a unified data catalog with lineage visibility, metadata capture, and schema versioning.
• Integrate dbt metadata, OpenLineage, and Great Expectations to enforce data quality.
• Define clear governance rules: data contracts, access policies, and change auditability.
• Ensure every dataset is explainable and fully traceable back to its source.

4. Data Modeling & Lakehouse Operations

• Design dimensional models and business data marts to power dashboards and KPI analytics.
• Develop curated Gold-layer tables that serve as trusted sources of truth for analytics and AI workloads.
• Optimize materialized views and performance tuning for analytical efficiency.
• Manage cross-domain joins and unified semantics across products, customers, or operational processes.

5. Observability, Reliability & Performance

• Monitor data pipeline health, freshness, and cost using modern observability tools (Prometheus, Grafana, Cloud Monitoring).
• Build proactive alerting, anomaly detection, and drift monitoring for datasets.
• Implement CI/CD workflows for data infrastructure using Terraform, Helm, and ArgoCD.
• Continuously improve query performance and storage efficiency across warehouses and lakehouses.

6. Unified Data & Semantic Layers

• Help define a unified semantic model that connects operational, analytical, and AI-ready data.
• Work with AI and analytics teams to structure datasets for semantic search, simulation, and reasoning systems.
• Collaborate on vectorized data representation and process-relationship modeling (graph or vector DBs).

What We’re Looking For

• 5+ years of hands-on experience building large-scale data platforms, warehouses, or lakehouses.
• Strong proficiency in SQL, Python, and distributed processing frameworks (PySpark, Spark, Dataflow).
• Deep understanding of Medallion architecture, data modeling, and modern ETL orchestration (Airflow, dbt).
• Experience implementing data catalogs, lineage tracking, and validation frameworks.
• Knowledge of data governance, schema evolution, and contract-based transformations.
• Familiarity with streaming architectures, CDC patterns, and real-time analytics.
• Practical understanding of FinOps, data performance tuning, and cost management in analytical environments.
• Strong foundation in metadata-driven orchestration, observability, and automated testing.
• Bonus: experience with ClickHouse, Trino, Iceberg, or hybrid on-prem/cloud data deployments.

You’ll Excel If You

• Think of data systems as living, evolving architectures — not just pipelines.
• Care deeply about traceability, scalability, and explainability.
• Love designing platforms that unify data across analytics, AI, and process intelligence.
• Are pragmatic, hands-on, and focused on building systems that last.

PPC Campaign Manager

Google Ads Channel - Digital Optimization Specialist - SEM

This is a full-time opportunity, working 100% remotely.

About Exactius:

Exactius works with companies to solve complex digital marketing challenges and achieve ambitious growth goals. We bring executive leadership and cross-functional execution teams, that can not only form the strategy but can also execute and deliver the result. These teams always include a proven performance marketing CMO, along with campaign and CRM managers, conversion and product managers, data scientists, front/back end developers, and creative teams as necessary. Those teams are supported by a proprietary technology that supports the need for advanced analysis and real-time optimization. Exactius, is an extension of your internal teams with one goal in mind: grow faster and be more profitable.

Responsibilities:

• Working with an international team of professionals from various lanes towards shared aggressive KPIs (BI, Tracking, Creative, Product, CRM, etc)
• Manage, review, and perform account responsibilities associated with Google Ads, Bing Ads, and other PPC search platforms.
• Communicate regularly with our clients, provide recommendations and execute strategies for new opportunities, campaign structuring, targeting, display network, and other facets of paid search in accordance with the KPI’s.
• Set up and ongoing optimization, A/B testing, and KPI analysis) to improve search visibility.
• Keep pace with PPC and paid social industry trends and developments.
• Monitor and administer web analytics dashboards, reports, key reporting tools, and key areas of importance in accordance with company goals.

Requirements:

Technical:

• 5-7 Years experience as Performance Marketer
• In-depth knowledge of Google Ads, Search Campaigns, Shopping Campaigns, Google Display, YouTube, Microsoft Advertising, and/or other paid media channels
• Google Ads + Google Analytics Certifications
• Excellent analytical, organizational, project management, and time management skills
• Experience with managing large client budgets (over $100K per month) is a plus

Communication:

• Proficiency in English - Pleasant and professional communication skills.
• Excellent written communication skills, and friendly phone etiquette.
• Ability to clearly and effectively articulate thoughts and points.
• This is a client-facing role.

Attitude:

• A ROCK STAR.
• Strong organizational skills, self-starter mindset, proactive personality
• Ability to learn new industries and new business types quickly and can apply this knowledge to internet marketing initiatives and achieving goals
• Outstanding ability to think creatively, identify and resolve problems
• Phenomenal attention to detail and the ability to effectively multi-task in a fast-paced, deadline-driven atmosphere
• High levels of integrity, autonomy, and self-motivation- working 100% remotely
• Willing to work also in the EST time zone

Benefits & Perks

• Competitive salaries
• Opportunity to have a tangible impact on our fast-growth international brands with a monthly budget of $1M+
• Work remotely from anywhere in the world.
• Responsibility from day one, professional and personal growth
• Excellent company culture, working alongside rockstar professionals from various industries and backgrounds
• We care about you and your career path and investing in your growth
• We are committed to helping you grow, learn, and improve as you go

The family-style company is looking for a talented Full-stack developer to join our team. If you are looking for an awesome team, send us your CV!

To become a part of the UKAD team, make sure you are familiar with these technologies

Backend: C#, .NET Core, ASP.NET Core, EF Core, SQL, Microservices
Frontend (one): React / Angular / Vue, JS/TS, HTML/CSS
Nice to have: Azure (Functions, Web Apps, Storage, Logic Apps, Service Bus), Docker, Swagger, Automapper, Serilog, SignalR, Redis, Unit tests, Git, Agile/Scrum


Our typical tasks list:
 

• Develop well-designed, easily maintainable, scalable, and reusable software
• Develop the solution according to existing software architecture defined by the architect
• Maintain software architecture documentation: diagrams, code samples, API descriptions, etc.
• Research, study, and develop technical solutions and technologies
• Implement performance/load/stress testing procedures according to project needs
• Enhance knowledge of preferred technologies, methodologies, standards, and policies
• Review design prototypes, participation in tech review design calls

We also expect you to be a really self-driven person because micromanagement and total control are not about UKAD. Feel free to choose technologies and solutions, in which you believe, as well as to be creative and responsible for the results.

What we offer
 

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Remote work, full time
• Becoming not just another developer, but a part of UKAD with unique value and long-term relationships.
  
  Some facts about UKAD to help you make a decision:

During 2022-2025, we only increased cooperation with our foreign partners
UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
UKAD is one of the leading employers in Kharkiv, according to DOU.

Aren't we the company you're looking for?

The UKEESS Software House team is currently looking for a Senior AI LLM Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the AI Content team, you will work with AI technologies and LLMs to deploy, test, and evaluate model capabilities, quality, throughput, and cost for document understanding tasks such as layout analysis, transcription, entity recognition, relation extraction, summarization, etc. You will work with a dedicated mentor on the AI Content data science team, along with engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Integrate LLMs: Integrate both open source and provider-based LLMs into our internal AI Gateway. 
• LLM Optimization: Optimizing open source LLMs for faster inference using frameworks like VLLM, SGLang
• Tools/Scripts/Dashboards: build a tool/script/dashboard to track and compare speed or time required, as well as token count and cost estimates for processing images with the various LLMs.  
• Optional Opportunities: Optional opportunities exist to explore LLM word token bounding box detection, LLM as a Judge, and other LLM evaluation work. 
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science with AI/ML 
• Proven experience in Python programming as well as tools and environments for model deployment.
• Knowledge and experience with multiple AI LLMs, including both proprietary and open-source models, and their respective strengths and limitations.  
• Knowledge and experience with such frameworks as VLLM, SGLang
• Ability to stay up-to-date with new models, benchmarks, and best practices.
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:  

• Familiarity with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Commercial experience with Terraform or CloudFormation
• Experience with agentic architecture
• Familiarity with AI coding tools 

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data, but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers. In that case, we want to talk to you! ;-)

The UKEESS Software House team is currently looking for a Senior AI Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the team, you will work with KB (Knowledge Base) and RAG (Retrieval Augmented Generation) implementations, integrating architectures leveraging SQL-structured databases along with vector databases supporting semantic search and retrieval applications. You will work with a dedicated mentor from the data science team, as well as engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Configure structured and vector databases: Align and sync database schemas across structured and vector databases 
• Curate and organize content collection metadata: Prepare and format provided content collection metadata to be compatible with defined database schemas 
• Ingest content collection metadata:  Ingest collection metadata from provided sources into a structured SQL database.
• Embeddings generation: Help develop a tool/script to generate embeddings from the structured data to populate the vector database.
• Iterative improvement: Iterate on adjusting the database schema, indexes, embeddings, etc., to support various queries and use cases for analyzing the ingested content collection metadata
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science
• Strong hands-on commercial experience with LLMs in production, RAG architecture, and agentic systems
• Expertise with data collection, organization, curation, and formatting to populate SQL databases. 
• Experience with SQL databases, including adjusting schemas and indices to optimize for efficient queries. 
• Familiar with embedding generation and use of vector databases for semantic search and retrieval. 
• Strong proficiency and experience with Python and relevant tools and libraries
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:

• Knowledge and experience with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Strong knowledge and experience with LightLLM
• Commercial experience with Terraform or CloudFormation
• Experience with agentic web scraping tools

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers.

In that case, we want to talk to you! ;-)

A product company is looking for an AI Lead Engineer (on-site) in Warsaw.

✅ It's a Silicon Valley Company, a successful market leader.

The B2C platform, based on the best-quality global video technology.

✅They offer: stock options grant, medical insurance (for you + 75% coverage for your relatives), free lunches and parking, multisport card.

✅Requirements: experience with Python, LLM, and RAG. Strong leadership experience.

The global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. ‍Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

We are looking for an experienced Head of Database Administration (DBA) to lead and scale our database team. This role combines strategic leadership with hands-on expertise, ensuring stability, scalability, and performance across a diverse database ecosystem.

Tech Stack

• Relational Databases: MySQL, Percona XtraDB Cluster, Amazon RDS, Aurora
• Analytics & Streaming: ClickHouse, CDC data streaming (Debezium)
• NoSQL: MongoDB
• Infrastructure: Databases hosted in the cloud, on-premises, and in Kubernetes environments

Responsibilities:

• Lead and manage a growing DBA team (currently 5 members, with active hiring ongoing).
• Oversee performance, availability, backup, and disaster recovery for more than 100 database servers, including several high-load systems.
• Collaborate closely with development teams, solution architects, and data analysts to ensure database reliability and efficiency.
• Drive adoption of modern practices for database management, migrations, automation, and process standardization.
• Evaluate, implement, and optimize new technologies and solutions to meet evolving business needs.

Requirements:

• Proven experience managing large-scale, high-availability database infrastructures.
• Strong leadership and people management skills.
• Experience working across cloud, on-premises, and containerized environments (Kubernetes).
• Excellent problem-solving, communication, and collaboration skills.

✅ We offer excellent benefits, including but not limited to:
🏝️23 working days of vacation per year
🏥 6 sick days without a doctor's note
🩺Medical insurance
🎁Birthdays, milestones and employee anniversaries celebrations
📍Modern offices with snacks and all the essentials
🏋️‍♂️Social Club and more than 50 events per year - coming soon
🍲Breakfasts and lunches (partially covered)
📚Language classes & tennis lessons (partially covered)

Join a global leader shaping the future of autonomous AI agents for developers. We’re an international, fast-growing company building AI-powered tools that transform coding workflows, automate repetitive tasks, and boost developer productivity worldwide.

About the Role:

As a Senior Full-Stack Engineer, you’ll work across the stack to design scalable backend systems, build high-performance UIs, and integrate AI assistants into modern development workflows. You’ll tackle challenges like parsing massive codebases, building intelligent automation, and optimizing cloud infrastructure at scale.

Tech Stack:

React, TypeScript, Python, Node.js, Postgres, Redis, AWS (extensive use of managed services)

Responsibilities:

• Architect and implement scalable backend services and APIs.
• Build intuitive, performant frontend components and IDE integrations.
• Collaborate with AI engineers to integrate intelligent automation.
• Optimize performance, reliability, and developer experience across systems.

Requirements:

• 5+ years of full-stack development experience.
• Expert in React and TypeScript with modern frontend architecture skills.
• Hands-on AWS experience and strong backend skills in Python or Node.js.
• Experience with Python - must

Nice to Have:

• Familiarity with AI-powered dev tools, CI/CD pipelines, and IaC (Terraform or Pulumi).

Why Join Us:

• Be part of a global company redefining how software is built with AI.
• Collaborate with top engineers and AI specialists worldwide.
• Solve cutting-edge challenges in a fast-paced, innovative environment.
• Enjoy a fun, international culture with endless opportunities for growth and impact.
• Full remote position.

GoDaddy's Infrastructure Engineering team is looking for a Senior Site Reliability Engineer with a focus on building the next generation of private and public cloud infrastructure using OpenStack.

Our OpenStack platform empowers GoDaddy engineers and external customers to help small business customers start, grow, and run their ventures. Hundreds of GoDaddy teams and millions of external customers use the team's Cloud solutions daily at a global scale. If you have the passion, enthusiasm, and ability to contribute to managing that infrastructure with a focus on user experience, we would like to talk with you!

What you’ll get to dо:

• Join the team of talented engineers to build, run, and support the current cost-effective and robust private and public cloud infrastructures
• Administration and Support for our cloud infrastructure based on OpenStack
• Administration of host-systems: problem analysis, isolation and debugging
• Contribute to the software product development life cycle from inception to production launch and post-production support for a large-scale cloud deployment
• Contribute to open-source projects such as OpenStack, and libvirt
• Engage with engineers and partners across GoDaddy to handle disaster recovery, ongoing security challenges & security incident responses, and to solve broad impact implications
• Participate in SRE/DevOps, releases, and on-call activities to support the infrastructure, support & delight customers
• Troubleshoot code-level problems quickly and efficiently.

Your experience should include:

 

• Experience in one or more of the following areas: software engineering, or site reliability engineering with a focus on building cloud infrastructure
• Experience in complex distributed networking, system performance tuning, and monitoring
• Experience with CI/CD development using Kubernetes, Docker, etc.
• Experience in Linux and Python development
• Experience with Deployments using Automation tooling such as Ansible or Puppet
• Possess analytical and multi-task abilities to thrive in a fast-paced environment
• Working within an agile development environment and strong practice of continuous delivery and integration
• Highly motivated and highly collaborative individual.

You might also have experience with:

• Experience in contributing to Open-Source projects
• Experience with Cloud platform technologies such as AWS, or Azure
• Experience in virtualization technologies such as KVM, and OpenStack
• Experience with back-end services, highly distributed and scalable services, and deployment automation.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or offsites.

Work Schedule:
Standard full-time hours (Monday to Friday, 40 hours per week) with flexible working arrangements.
On-call duties: Possible but very rare (approximately once every two months)
 

_____

Q & A:

- Does the job come with a probation period, and if so, how long does it last?
Yes, there is a 3-month probation period.  
- What is the expected work schedule?
Full-time, flexible. You can work remotely and also you can choose hybrid mode where you can combine working on-site (in Lviv office) and remotely.
- How many vacation and sick days are provided?
Annual paid vacation — 20 working days/ 7 unconfirmed sick days/days off a year.

Social package & benefits:

- Full medical insurance 
- MacBook & accessories
- English lessons
 

- Accountant assistance

- Minimal bureaucracy, synergy, and formalities, primarily focusing on effective communication

Hiring process:

1. Screening call with Recruiter (soft skills interview) ~ 20 min
2. Technical interview with the Local Tech Expert ~ 60 min
3. Final interview with Manager from GoDaddy ~ 60 min
    

Join Our Team!

Our prospect is developing product that transforms knowledge into shareable assets you can keep, grow, & monetize in the age of AI. Making Human+AI > AI. Instead of enterprises relying on multiple solutions to access data, derive insights, & apply knowledge, they provide a seamless, all-in-one product for you to create personalized intelligence. An enterprise’s collective human intellect all in one secure, version-controlled, client-owned hub, enabling organizations to manage, share, & evolve everyone's unique contributions into a unified global intelligence network. Simple, intuitive, & powerful.

They're looking for an innovative engineer to build novel real-time streaming systems using Elixir/Erlang and Python. This isn't about implementing existing frameworks - it's about designing creative solutions from first principles. You'll architect agent-based systems handling massive concurrent data streams, all on open-source, self-hosted infrastructure. Perfect for someone who wants to think outside the box and build something unique.

Responsibilities:

• Design and build a custom streaming platform from scratch;
• Think creatively about solving problems differently than everyone else;
• Comfortable building your own tools when existing ones don't fit.

Qualifications:
    • 5+ years specifically with Elixir and/or Erlang;
    • 8+ years total experience as a Software Engineer;
    • Proven track record of architecting complex systems;
    • Experience building high-concurrency systems (handling millions of events/sec);

    • Experience with real-time data streaming (Kafka, RabbitMQ, or similar);
    • Experience with distributed systems architecture;
    • Experience with OTP (Open Telecom Platform);
    • Experience with agent-based architectures or actor model systems;
    • Experience with workflow orchestration (managing data pipelines);
    • Experience working without managed cloud services (on-premise, self-hosted);
    • Experience with open-source streaming tools (no AWS, Azure, GCP managed services).
 

We offer:

• Competitive market salary;
• Fully remote work;
• Convenient and somewhat flexible working hours (you will have to work until 20:00 Kyiv time GMT+3, or 1 pm EST);
• 28 business days of paid unbillable time per calendar year;
• The chance to work on meaningful, socially valuable products alongside a highly professional, US-based international team;
• Interesting technical challenges with opportunities to grow and learn.

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

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

About the role:
We are looking for an experienced Senior Data Scientist / NLP Lead to spearhead the development of cutting-edge natural language processing solutions for the Ukrainian LLM project. You will lead the NLP team in designing, implementing, and deploying large-scale language models and NLP algorithms that power the products.

This role is critical to the mission of advancing AI in the Ukrainian language context, and offers the opportunity to drive technical decisions, mentor a team of data scientists, and shape the future of AI capabilities in Ukraine.
 

Requirements:
Education & Experience:
- 5+ years of experience in data science or machine learning, with a strong focus on NLP.
- Proven track record of developing and deploying NLP or ML models at scale in production environments.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

NLP Expertise:
- Deep understanding of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, text classification, sequence tagging (NER), and transformers/LLMs.
- Deep understanding of transformer architectures and knowledge of LLM training and fine-tuning techniques, hands-on experience developing solutions on LLM, and knowledge of linguistic nuances in Ukrainian or other languages.

Advanced NLP/ML Techniques:
- Experience with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Background in information retrieval or RAG (Retrieval-Augmented Generation) is a plus for building systems that augment LLMs with external knowledge.
ML & Programming Skills:
- Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Experience on how to build a representative benchmarking framework given business requirements for LLM.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.

Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP or Azure) and big data technologies (Spark, Hadoop) for scaling data processing or model training is a plus.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
Leadership & Communication:
- Demonstrated ability to lead technical projects and mentor junior team members.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.

Responsibilities:
- Lead end-to-end development of NLP and LLM models - from data exploration and model prototyping to validation and production deployment. This includes designing novel model architectures or fine-tuning state-of-the-art transformer models (e.g., BERT, GPT) to solve project-specific language tasks.
- Analyze large text datasets (Ukrainian and multilingual corpora) to extract insights and build robust training datasets.
- Guide data collection and annotation efforts to ensure high-quality data for model training.
- Develop and implement NLP algorithms for a range of tasks such as text classification, named entity recognition, semantic search, and conversational AI.
- Stay up-to-date with the latest research to apply transformer-based models, embeddings, and other modern NLP techniques in the solutions.
- Establish evaluation metrics and validation frameworks for model performance, including accuracy, factuality, and bias.
- Design A/B tests and statistical experiments to compare model variants and validate improvements.
- Deploy and integrate NLP models into production systems in collaboration with engineers - ensuring models are scalable, efficient, and well-monitored in a real-world setting.
- Optimize model inference and troubleshoot issues such as model drift or data pipeline bottlenecks.
- Provide technical leadership and mentorship to the NLP/ML team.
- Review code and research, uphold best practices in ML (version control, reproducibility, documentation), and foster a culture of continuous learning and innovation.
- Collaborate cross-functionally with product managers, software engineers, and MLOps engineers to align NLP solutions with product goals and infrastructure capabilities.
- Communicate complex data science concepts to stakeholders and incorporate their feedback into model development.

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