Jobs at Djinni

P3 Alpha is a technology company developing core banking solutions for private banks and wealth management businesses. As part of the international P3 group, we work with a distributed team across multiple countries.

We are looking for a proactive and independent Talent Acquisition Manager who will take ownership of the full recruitment cycle, help us attract strong professionals across European and global markets, and continuously improve our recruitment processes.

What you’ll do:

• Manage the full recruitment cycle across multiple technical and business roles.
• Partner with hiring managers to define requirements and hiring strategies.
• Source and attract candidates across European and global markets.
• Conduct structured interviews and manage candidates throughout the process.
• Research talent markets and provide practical hiring recommendations.
• Build talent pipelines for specialised and business-critical roles.
• Set up and continuously improve recruitment processes, workflows, and tools.
• Track recruitment metrics and use data to improve hiring effectiveness.
• Support candidate experience and employer-branding initiatives.

About you:

• 4+ years of full-cycle recruitment experience in IT or Tech.
• Experience recruiting across international, particularly European, markets.
• Strong sourcing and candidate engagement skills.
• Experience recruiting technical and business roles at different seniority levels.
• Experience setting up or significantly improving recruitment processes.
• Confidence working with recruitment metrics and data.
• Experience using AI tools in recruitment.
• Upper-intermediate English or higher.
• A proactive, independent, and structured approach.

Your benefits:

• A full-time remote role in an international technology company.
• Paid vacation, sick leave, and public holidays.
• Health insurance.
• Compensation for AI tools.
• Compensation for professional training and development.
• Business trips to our headquarters in London.
• Ownership of the recruitment function and the opportunity to influence its development.
• Recruitment across different markets, functions, and seniority levels.
• Close collaboration with hiring managers and company leadership.
• Autonomy to introduce new ideas, tools, and process improvements.

We’re seeking a skilled and enthusiastic Clinical Design Engineer to join Materialise.

If you are selected for the job, you will need to undergo thorough training before handling real cases. We will teach you everything you need to know. We are not looking for experts but motivated individuals willing to learn and grow with us.

Responsibilities:

⁃ A Clinical Design Engineer developing medical implants and guides for CMF based on Clinical engineer requests, surgeon's preferences, and anatomy aspects according to work instructions and established procedures;

⁃ Able to determine the high-level clinical reality and history of the patient based on medical image data, and other additional data if applicable.

Requirements:

⁃ University degree in Mechanical Engineering or the Biomedical Engineering field is a plus (commercial experience is not mandatory);

⁃ Good 3-dimensional thinking & basic experience with CAD tools (SolidWorks or similar);

English level: Intermediate.

⁃ General engineering knowledge;

⁃ Detail-oriented and good at troubleshooting;

⁃ Good self-organization skills;

Will be a plus

Understanding of 3D-printing technology.

Possess overall responsibility for the successful planning, execution, monitoring, control, and completion of projects according to the agreed scope, time, cost, and quality criteria.

A solid understanding of the web design process is crucial for this role.

Responsibilities:

Project Management:

- Manage project development from initiation to closure, within budget, timeline, and quality standards. This involves leading the product development team on the projects that typically last 2-3 years.
- Manage day-to-day operational aspects of projects, ensuring smooth progress and addressing challenges.
- Plan and manage project timelines and milestones, ensuring that tasks are completed on time and objectives are met.
- Identify and mitigate project risks to ensure steady progress.

Team management:

- Manage a web development team of backend and frontend developers, a designer, and a QA engineer. Effectively plan and manage the allocation of team members’ time on projects.

Stakeholders management:

- Manage stakeholder communication throughout the lifecycle of website development projects.

Quality management:

- Ensure that the project’s deliverables meet the defined quality standards and stakeholders’ expectations.

Required skills:

- Experience/strong knowledge of Agile, Scrum, Kanban.
Solid understanding of the SDLC.
- Strong knowledge of UX design and ability to guide design teams.
- Fluent in English with excellent communication skills.
- Strong presentational skills: proficiency in direct stakehoder communication and delivering project updates throughout different stages.
- Strong in people management, problem-solving, and decision-making.
- Initiative-driven with a proactive approach to improving project outcomes.

- Excellent self-organization, time management, and prioritization skills.

Availability to work GMT+2 hours (10 am to 7 pm).

What We Offer:

- A work culture built on mutual success, trust, and continuous growth;

- Competitive compensation with clearly scheduled salary reviews and raises;

- A high-performing project management team and an inspiring atmosphere of camaraderie;

- The opportunity to lead a talented team of top-tier developers and designers;

- Sports compensation to help you stay active and energized;

- Paid vacation and sick leave — because your well-being matters;

- Comprehensive health insurance coverage;

- A modern, comfortable office in the center of Lviv;

- An amazing team, warm atmosphere, and engaging corporate events.

Required skills:

- Experience as manual QA or QA course certificate;
- Knowledge of software QA methodologies, tools, and processes;
- English level — upper-intermediate;
- Understanding of the development processes and software lifecycle;
- Knowledge of theory and principles of testing;
- Basic knowledge of HTML/CSS and browser developer tool;
- Basic knowledge of WordPress (Install theme as a demo, creation of custom posts, etc.).

As a plus:

- Conduct thorough testing of websites for client projects

- Test Apps, Themes, Widgets on the different CMS;
- Experience in writing clear, concise, and comprehensive test plans and test cases;
- Knowledge of project management methodologies;
- Excellent interpersonal, communication, collaboration, and presentation skills.

Responsibilities:

Perform manual testing of applications across different eCommerce platforms.

- Analyze product logic and expected behavior.

- Test application functionality to ensure all features work correctly.

- Test UI/layout components, including styles, responsiveness, element visibility, and design consistency.

- Test integrations with third-party services, such as email service providers.

- Create clear and detailed bug reports.

- Validate billing, subscription, trial period, and payment flows.

- Test customer journeys, including app installation and uninstallation, subscription creation, widget setup, and widget/script display on the storefront.

- Verify the correct functionality of widgets, including pop-ups, embedded widgets, and forms.

- Perform testing in development, staging, and production environments.

- Collaborate closely with developers and Project Managers to identify, report, and resolve issues efficiently.

What We Offer:

- A work culture built on mutual success, trust, and continuous growth;

- Competitive compensation with clearly scheduled salary reviews and raises;

- A high-performing project management team and an inspiring atmosphere of camaraderie;

- The opportunity to lead a talented team of top-tier developers and designers;

- Sports compensation to help you stay active and energized;

- Paid vacation and sick leave — because your well-being matters;

- Comprehensive health insurance coverage;

- A modern, comfortable office in the center of Lviv;

- An amazing team, warm atmosphere, and engaging corporate events.

We are looking for a Data Scientist to join a risk modeling team within one of the leading banks in Ukraine. The team has been a benchmark in risk modeling for over 10 years, applying advanced Machine Learning techniques and global best practices.
 

We are open to considering candidates from Junior to Senior level, depending on experience and expertise.
 

In this role, you will develop ML solutions to minimize financial risks and optimize strategies for working with millions of customers.
 

Why Join the Team:

• Technology Stack: We use cloud solutions and modern development tools such as Amazon SageMaker, Amazon S3, Git, Confluence, etc.
• Scale: Working with large-scale datasets to support critical business decisions.
• Expertise: Risk models aligned with international standards and regulatory requirements.
• Professional Community: Strong Data Science community, regular internal workshops, participation in conferences, and sponsored learning.
• Automation: Proprietary system for managing the full ML lifecycle (from development to monitoring).
   

Key Requirements:

• 1+ year of experience in Data Science (experience in FinTech/Banking will be a strong advantage);
• Strong proficiency in Python for data analysis (NumPy, Pandas, SciPy, etc.) and experience optimizing SQL queries on large datasets;
• Hands-on experience with ML frameworks such as Scikit-learn and gradient boosting libraries (LightGBM, XGBoost, etc.);
• Experience with time series analysis and forecasting tools (Statsmodels, Prophet, etc.);
• Solid understanding of mathematics behind models (from linear regression to gradient boosting) and model evaluation techniques;
• Understanding of Big Data concepts and experience with version control tools (Git).
   

Nice to Have:

• Experience with Docker and/or MLflow;
• Knowledge of financial regulations (e.g., Basel III, IFRS 9).
   

Key Responsibilities:

• Credit Risk Modeling: Develop portfolio risk models (PD, LGD, EAD) in line with IFRS 9 requirements;
• Income & Solvency Forecasting: Build ML models to assess customer financial condition based on transactional activity;
• Credit & Behavioral Scoring: Develop classical and advanced scoring systems for automated decision-making across the customer credit lifecycle;
• Market Risk Analysis: Apply time series analysis and ML techniques to assess liquidity risk, forecast FX volatility, and model customer fund behavior;
• Fraud & Anomaly Detection: Build and maintain systems for detecting unusual transaction patterns in real time;
• ML Lifecycle: Participate in the full lifecycle of models — from idea and data collection to automated monitoring and retraining.
   

What We Offer:

• Opportunity to work in one of the leading banks in Ukraine;
• Official employment and 24+4 calendar days of vacation;
• Sick leave compensation;
• Competitive salary;
• Bonuses and performance-based incentives;
• Medical insurance;
• Corporate training and development programs;
• Remote work options;
• Financial support in critical situations.

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

The Senior Search Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

The Senior Python AI Engineer will be engaged with the company as a contractor (Private Entrepreneur).

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner. Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. 

We are looking for a Cloud Data Engineer (GCP) to lead client-facing enterprise projects while owning our core internal analytics engine. You will design scalable cloud data solutions for external clients while directly shaping Cloudfresh's internal business intelligence.

Role Overview

Client Solutions & Consulting (~70%): Architect enterprise GCP data platforms, build production pipelines, and participate in technical discovery, live demos, and solution scoping for clients.

Internal BI & Financial Analytics (~30%): Own Cloudfresh’s internal data environment—building automated pipelines and executive Looker dashboards to model our financial and operational performance.

Requirements

• Languages: Native/fluent Ukrainian and B2+ English.
• Core GCP Stack: 3+ years in Data Engineering with deep hands-on experience in BigQuery, Cloud Storage, Cloud Functions, and BigQuery ML.
• ETL/ELT Engineering: Proven experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform for optimizing data pipelines.
• Data Modeling & Analytics: Proficiency in Looker / Looker Studio, with a knack for turning complex data into clear financial and operational metrics.
• Code & Querying: Advanced SQL (performance tuning, cost optimization) and Python (API integrations, scripting).
• Integration Experience: Comfortable integrating data across APIs, relational databases, NoSQL, and SaaS platforms.
• Client Communication: Natural ability to translate business requirements into technical architectures and deliver confident demos to client stakeholders.

Responsibilities

• Design and build modern data platforms for enterprise clients working with structured and unstructured datasets.
• Build, maintain, and optimize internal financial and operational analytics pipelines in BigQuery and Looker.
• Collaborate with the team during discovery phases to provide technical expertise, live demos, and solution scoping.
• Continuously monitor and tune BigQuery cost, scalability models, and ETL pipeline performance.
• Run workshops and deliver technical presentations to stakeholders to define and refine data architectures.
• Identify and explore new GCP features and modern AI tools to streamline analytics operations.

Work conditions

- Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
- Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
- International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
- Expand your expertise by engaging with international markets across the EMEA and CEE regions.
- Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.

When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assessment
3. Python assessment 
4. Technical interview
5. Client interview

Responsibilities

• Product Strategy: Define and execute product roadmaps aligned with business objectives, user needs, and company vision.
• Proactive Initiative Management: Proactively explore new opportunities to expand the product offering within the live-streaming ecosystem, driving innovation in a constantly evolving space.
• Feature Ownership: Oversee the full lifecycle of new features - from ideation and prioritization to specification and go-to-market execution.
• Data-Driven Decisions: Use data insights, user feedback, and industry trends to inform product decisions and enhance the user journey.
• Performance Monitoring: Define success metrics, track results, and iterate to continuously optimize product performance.
• Stakeholder Collaboration: Act as the central point of communication between business and technical teams, ensuring alignment and clear communication of priorities and goals.
• Production-Focused Execution: Adopt a "ship-to-production" mindset, prioritizing speed, impact, and quality in every release.

Requirements

• At least 5 years of experience in product management, ideally in fast-paced tech or consumer app environments.
• Proven track record of launching and scaling successful products that drove measurable business results.
• Strong analytical and strategic mindset, with the ability to make clear, data-informed decisions.
• Excellent communication, collaboration, and stakeholder management skills across disciplines.
• Full professional proficiency in English, both written and verbal.
• Hands-on experience with product analytics tools (e.g., Amplitude, Mixpanel, Looker).
• A plus: Experience in the gaming, social, or monetization industries, managing in-app purchases and virtual economies.

What we offer:

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social and welfare packages;
• 20 working days paid vacation, official public holidays, and 100% paid sick leave;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team buildings and fun activities;
• Comfortable office in Kyiv centre close to the metro station. Our Kyiv office is open 24/7 with all safety and health measures in place.

RemotePass is a leading global platform transforming the way businesses access and manage top talent. Recognized as one of G2’s Top 100 Fastest Growing Software Products, we’re on a mission to break down geographical barriers and create a world where exceptional talent can thrive anywhere.

By streamlining global hiring, onboarding, payroll, and compliance, RemotePass empowers organizations to build high-performing remote teams. Our platform is designed to improve the lives of millions of workers worldwide by providing them with unprecedented opportunities to connect with global employers and reach their full potential.

We are backed by world-class investors; Endeavor Catalyst, Khwarizmi Ventures, Oraseya Capital, Flyer One Ventures, Access Bridge Ventures, A15, Swiss Founders Fund and Plug & Play.

AI–Native Product Team

The Role

As a Senior Fullstack Engineer on one of our new AI–native squads, you will own entire features from database to UI. Our stack runs on AWS with PHP/Laravel and Node.js/NestJS powering the backend services, and React with TypeScript on the frontend. You will be expected to leverage AI coding assistants, automated testing tools, and generative AI workflows as core parts of your daily process—not as occasional novelties.

What you will be responsible for:

• Own and deliver features end–to–end across the full stack (backend services, APIs, frontend interfaces, and data layers)
• Design, build, and operate production systems in a payroll domain where correctness and reliability are non–negotiable
• Use AI coding tools (e.g., Claude Code, Cursor, Copilot) as a daily force multiplier for writing, reviewing, and refactoring code
• Write and maintain automated tests with AI–assisted generation, aiming for high coverage with minimal manual effort
• Participate in lean team rituals: async–first communication, lightweight code reviews, and continuous deployment
• Collaborate closely with product and design in a small squad to scope, estimate, and prioritize work
• Contribute to defining and evolving our AI–augmented engineering practices and toolchain
• Take shared ownership of operational concerns: monitoring, alerting, incident response, and on–call rotations

What We Are Looking For

Must–haves:

• 5+ years of professional software engineering experience with meaningful exposure to both backend (PHP or Node.js) and frontend (React/TypeScript) development
• Strong proficiency in our core stack: PHP/Laravel and/or Node.js/NestJS on the backend, React with TypeScript on the frontend
• Hands–on experience with AWS cloud infrastructure, relational databases, and API design (REST or GraphQL)
• Demonstrated comfort with AI–assisted development workflows—you already use AI tools regularly and can articulate how they change your process
• Strong fundamentals in testing: you know when to write a unit test, an integration test, or lean on AI–generated test suites
• Excellent async written communication—you document decisions, write clear PRs, and can drive alignment without meetings
• Ownership mindset: you do not wait for someone else to write the migration, fix the flaky test, or update the runbook

Nice–to–haves:

• Experience in payroll, HR tech, or fintech domains where precision and compliance matter
• Familiarity with prompt engineering, AI agent frameworks, or building LLM–powered features into products
• Experience migrating or integrating between PHP/Laravel and Node.js/NestJS services
• Experience working in small, high–autonomy teams (startups, platform teams, or similar)
• Background in QA or testing automation—understanding quality from first principles
• Contributions to developer tooling, CI/CD pipelines, or internal platform improvements

Why This Role Is Different

We are not adding “AI” to a job title for marketing purposes. We are restructuring our entire
engineering organization around a thesis: small teams of strong fullstack engineers, deeply
integrated with AI tools, can outperform larger traditional teams in speed, quality, and developer
satisfaction.

What this means in practice:

• You will not hand off work to a separate QA team—you own quality, aided by AI–powered testing and code review
• You will not wait on a backend engineer to build your API—you build the whole feature
• You will have real input into the tools and workflows the team adopts—this transformation is being built collaboratively
• You will work in a team of 2–3, not 5+, which means less coordination overhead and more building time

Benefit offerings include:

• 20 paid vacation days annually
• Paid public holidays based on your country of residence
• Unlimited sick leaves
• Comprehensive premium health insurance coverage

We are looking for a Senior Solution Engineer to join our team and support the successful integration and deployment of autonomous systems.
 

In this role, you will serve as the primary technical interface for partners, helping them integrate and deploy software and hardware solutions into their platforms. You will work closely with partners to understand their technical requirements, configure and adapt existing solutions, contribute to software development, and ensure successful implementation.
 

You will collaborate with cross-functional engineering teams to solve complex technical challenges, support product improvements, and help deliver reliable, high-quality solutions. This role is ideal for an engineer who enjoys combining hands-on technical work with customer collaboration and system-level problem solving.
 

Responsibilities:

• Serve as the primary technical point of contact for partners throughout integration and deployment projects
• Integrate partner systems with software and hardware solutions both remotely and on-site
• Configure, customize, and adapt existing solutions to meet partner requirements
• Contribute to the development of software solutions, from standalone applications and plugins to the main software codebase
• Manage software releases, including build preparation, release creation, testing, and resolving release-related issues
• Validate software releases before they are delivered to operational teams
• Collaborate with product and engineering teams to deliver new features and improvements
• Translate partner requirements into clear technical specifications aligned with product capabilities
• Troubleshoot software, hardware, and system integration issues, escalating complex challenges when required
• Support system validation, field testing, and deployment activities
• Contribute to technical documentation and continuous improvement of engineering processes
   

Requirements:

• Experience working directly with partners or customers in a technical engineering environment
• Strong proficiency in Python, C++, and Linux (Ubuntu)
• Experience integrating hardware components into embedded systems
• Basic hands-on hardware experience and understanding of fundamental electronics principles
• Solid understanding of embedded communication protocols (CAN, I2C, SPI, etc.)
• Experience with electrical and/or mechanical system design
• Ability to design wiring diagrams and apply best practices to minimize electrical interference
• Understanding of control theory and flight control
• Hands-on experience with multicopter and fixed-wing UAVs
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Willingness to travel for on-site integration, testing, and deployment activities
   

We Offer:

• Official employment under Ukrainian labor law
• Military booking
• Medical insurance
• Individual English lessons
• Stock Options
• Opportunity to work on cutting-edge UAV systems and grow professionally

Complete interview process:

• Intro call with recruiter → HR interview → Technical interview → Final interview with the team's leadership → Pre-offer → Security check

We are looking for a GNC Engineer to join our team and contribute to the development of guidance, navigation, and control software for autonomous robotic systems.

In this role, you will work on the core flight software responsible for vehicle guidance, navigation, and control, with a primary focus on unmanned aerial systems. You will collaborate closely with cross-functional engineering teams to develop new capabilities, integrate software with new hardware platforms, improve system performance, and investigate real-world operational issues.

This is an opportunity to work on mission-critical autonomous systems, solving complex engineering challenges at the intersection of robotics, embedded software, and flight control.

Responsibilities:

• Design, develop, and maintain Guidance, Navigation & Control (GNC) software for autonomous systems
• Develop new features and improve existing functionality within the PX4 Autopilot ecosystem
• Design and implement reliable, high-quality onboard software in C++
• Collaborate with cross-functional engineering teams to integrate software with new platforms
• Analyze UAV flight logs to identify anomalies, evaluate vehicle behavior, troubleshoot system issues, and determine root causes
• Tune UAV Guidance, Navigation & Control (GNC) parameters to achieve the desired flight characteristics
• Develop automated tests to ensure software reliability and performance
• Support system integration, validation, and field testing activities when required 
• Contribute to software architecture, code reviews, and continuous improvement of development practices

 Requirements:

• Strong understanding of flight dynamics, control systems, and aerodynamics
• Solid experience with C/C++, preferably in Linux-based embedded environments
• Experience with PX4 Autopilot or a comparable autopilot platform
• Experience developing robotic applications using ROS/ROS2
• Understanding of state estimation techniques, including Kalman filtering
• Experience analyzing flight data and troubleshooting autonomous systems
• Strong problem-solving and analytical skills
• Excellent communication skills and the ability to collaborate effectively within distributed engineering teams
• Strong English communication skills (Upper-Intermediate/B2 or higher)

Will be a plus:

• Experience with Python
• Hands-on drone experience, including piloting
• Experience with hardware integration and field testing

We Offer:

• Official employment under Ukrainian labor law
• Military booking
• Medical insurance
• Individual English lessons
• Stock Options
• Opportunity to work on cutting-edge UAV systems and grow professionally

Complete interview process:

• Intro call with recruiter → HR interview → Technical interview → Final interview with the team's leadership → Pre-offer → Security check