Jobs at Djinni

🚀 VIP Manager | iGaming | Remote

We are looking for an experienced VIP Manager to join our rapidly growing iGaming platform. This role focuses on building and maintaining long-term relationships with high-value players through personalized communication, data-driven retention strategies, and creative promotional campaigns.

🎯 Key Responsibilities

• Communicate directly with VIP players via messengers and outbound calls.
• Analyze player behavior and preferences to personalize offers.
• Create promotional activities and special campaigns based on player segmentation.
• Maintain accurate offer-tracking documents.
• Collaborate with CRM, Payments, Risk, and Marketing teams on VIP campaigns.
• Contribute ideas to improve the VIP retention strategy and product.

✅ Requirements

• 3+ months of experience in iGaming in VIP, Retention, or related roles.
• Proven experience with chats, messengers, and outbound calls.
• Strong understanding of VIP promotions, including deposit bonuses, no-deposit bonuses, personal campaigns, and promotional activities.
• Confident user of Excel or Google Sheets for segmentation, analysis, reporting, and offer tracking.
• English — C1.
• Ability to work in a fast-paced environment with continuous feedback.

💡 Key Skills

• VIP player profiling and behavioral analytics.
• Retention campaign planning and personalized offer creation.
• Data-driven decision-making.
• Strong spreadsheet skills (Excel / Google Sheets, formulas, segmentation, KPI tracking).
• Good understanding of iGaming products, including slots, bonuses, wagering, and retention mechanics.

💼 Why Join Us?

• Work on a new, rapidly growing global product.
• Freedom to create and test creative VIP retention campaigns.
• No micromanagement — we focus on results, KPIs, and smart decision-making.

Are you eager to bring state-of-the-art machine learning models to both edge devices and the cloud? Do you excel in fast-paced environments, constantly pushing the limits of what’s possible? Are you someone who always strives to see the bigger picture and go the extra mile?

If so, we have a compelling opportunity for a Technical Lead to join our team. In this role, you’ll be at the forefront of developing and integrating various modules, components, and models across a range of edge platforms. Your assistance will include designing and implementing robust data processing pipelines that ensure recurrently improving performance on edge systems.

Required Skills and Qualifications:

• Strong proficiency in C/C++, preferably with a solid background in embedded systems programming (at least 5 years).
• Additional Python experience is welcome.
• Experience in developing and deploying software solutions on edge devices.
• Expertise in designing and implementing robust data pipelines capable of seamlessly integrating with edge devices.
• Proficiency with containerization technologies (e.g., Docker, Podman) and orchestration platforms (e.g., Kubernetes, OpenShift) for deploying and managing ML inference workloads at the edge and in the cloud.
• Knowledge of CI/CD workflows and automation tools.

Would be an advantage:

• Hands-on experience with sensor data acquisition, preprocessing, and integration on edge devices, utilizing communication protocols such as SPI, UART, I2C, and others.Tech Lead (C/C++) 1
• Solid understanding of edge computing constraints, including resource limitations, power efficiency, latency considerations, and offline operation strategies.
• Experience working with embedded operating systems, such as Linux-based platforms (e.g., Raspbian, Ubuntu Server) and real-time OSes (e.g., FreeRTOS, NuttX), ensuring effective integration with edge ML inference systems.

Preferred Experience:

• Experience of working with a team of developers, setting technical direction, and mentoring engineers in best practices for C++ and embedded systems development.Experience working with cross-compilation toolchains and build systems like CMake, Bazel, or Meson for embedded and edge platforms.
• Strong knowledge of real-time systems and constraints, with expertise in concurrency control, scheduling, and real-time operating systems.
• Familiarity with DevOps practices, CI/CD pipelines, and automated testing strategies for C+±driven development workflows.
• Experience with UAVs, drones, or flight controllers, including their integration with embedded AI systems for real-time inference and onboard data processing.

We are open to communicating with Candidates who can contribute to our cause on a part-time basis as Consultants. This role offers a clear path toward a CTO position for a candidate who demonstrates both technical excellence and strategic leadership.

Company Benefits are discussed with Candidates specifically.

Smart Capital Center is an AI-powered platform transforming Commercial Real Estate (CRE) investment and financial management. Our platform combines real-time market data, financial modeling, workflow automation, and Generative AI to power underwriting, asset management, and portfolio analytics.

Operating at the intersection of AI, finance, and commercial real estate, we are building software that replaces manual, spreadsheet-driven workflows with intelligent, scalable systems.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance engineering organization solving complex problems in a $17 trillion industry.

Learn more at www.smartcapitalcenter.com

The Role

We are looking for an Engineering Manager who combines strong technical leadership with exceptional people management and execution.

This is a hands-on leadership role. While your primary responsibility is building and leading a high-performing engineering team, you will remain deeply involved in technical direction, architecture, AI adoption, and engineering excellence.

You will partner closely with Product, Design, Data, AI, and executive leadership to translate business objectives into scalable technical solutions while fostering an engineering culture centered on ownership, innovation, continuous improvement, and rapid execution.

As an engineering leader, you will help shape not only what we build, but how we build it—leveraging AI to improve both our products and our engineering processes.

What You'll Do

Engineering Leadership

• Lead, mentor, and grow a team of high-performing software engineers.
• Build a culture of ownership, accountability, technical excellence, and continuous learning.
• Recruit, hire, and retain exceptional engineering talent.
• Coach engineers through regular one-on-ones, performance feedback, and career development.
• Foster psychological safety while maintaining high performance standards.
• Develop future technical leaders within the organization.

Technical Leadership

• Drive technical direction alongside senior engineers and architects.
• Review system architecture and technical designs.
• Guide architectural decisions that improve scalability, reliability, maintainability, and security.
• Balance long-term platform evolution with near-term product delivery.
• Establish engineering standards, coding practices, testing strategies, and documentation expectations.
• Drive continuous improvement across engineering processes and developer experience.

AI Engineering Leadership

• Partner with AI engineers to build and operate AI-powered product capabilities.
• Establish best practices for integrating Large Language Models (LLMs) into production systems.
• Promote responsible AI engineering, including evaluation, monitoring, security, and governance.
• Drive adoption of AI-assisted software development tools to improve engineering productivity.
• Evaluate emerging AI technologies and recommend practical adoption where they create measurable business value.
• Help engineers effectively leverage modern AI development tools including GitHub Copilot, Cursor, Claude Code, and similar platforms.

Delivery & Execution

• Own engineering execution across multiple initiatives and product domains.
• Partner with Product Managers to define roadmaps, priorities, estimates, and delivery plans.
• Remove blockers and enable teams to execute efficiently.
• Drive predictable software delivery without compromising engineering quality.
• Continuously improve planning, estimation, release management, and Agile execution.
• Ensure successful delivery of customer-facing features and internal platform improvements.

Platform & Operational Excellence

• Drive improvements in platform reliability, scalability, observability, and operational excellence.
• Improve CI/CD pipelines, automated testing, deployment processes, and developer productivity.
• Establish engineering metrics including deployment frequency, lead time, reliability, defect rates, and operational health.
• Promote ownership of production systems and operational excellence.
• Support incident response, root cause analysis, and continuous improvement initiatives.

Cross-Functional Collaboration

• Partner closely with Product, UX, AI, Data, and Customer Success teams.
• Communicate technical strategy and project status to stakeholders.
• Align engineering priorities with company objectives.
• Participate actively in product planning and strategic decision making.

Requirements

Leadership

• Significant experience building and delivering production software.
• Experience leading software engineering teams in fast-moving environments.
• Proven success hiring, mentoring, and developing engineers.
• Strong coaching, communication, and organizational skills.
• Demonstrated ability to build high-performing engineering teams.
• Ability to influence across technical and business organizations.

Technical Background

• Strong experience building and shipping modern full-stack applications.
• Expertise with modern frontend technologies including React, TypeScript, and JavaScript.
• Strong backend experience using Java/Spring Boot and/or Python.
• Experience designing scalable APIs and distributed systems.
• Strong understanding of relational databases (PostgreSQL preferred).
• Experience building cloud-native applications on AWS or similar cloud platforms.
• Solid understanding of software architecture, security, scalability, and system reliability.

AI & Modern Engineering

• Experience building, integrating, or operating AI-powered applications.
• Understanding of LLMs, prompt engineering, structured outputs, tool/function calling, and Retrieval-Augmented Generation (RAG).
• Familiarity with vector databases, embeddings, semantic search, or AI orchestration frameworks is a plus.
• Experience using AI-assisted software development tools to improve engineering productivity.
• Ability to evaluate emerging AI technologies and drive practical adoption across engineering teams.
• Understanding of AI security, governance, and responsible AI practices.

Engineering Management

• Experience leading Agile software development.
• Strong understanding of modern software delivery practices.
• Experience balancing engineering quality with delivery speed.
• Ability to manage multiple priorities in a fast-paced environment.
• Data-driven approach to planning, execution, and continuous improvement.
• Experience defining and tracking engineering performance metrics.

Core Competencies

• Technical leadership
• Strategic thinking
• Ownership mindset
• Strong execution
• Excellent communication
• Coaching and mentoring
• Systems thinking
• Pragmatic decision making
• Continuous improvement
• Customer-focused problem solving

Nice to Have

• Commercial Real Estate (CRE), financial systems, or analytics platform experience.
• Experience with event-driven or microservice architectures.
• Experience with Kubernetes, Docker, Terraform, or Infrastructure as Code.
• Experience with observability platforms such as Datadog, Grafana, Prometheus, or OpenTelemetry.
• Experience with high-volume data processing and distributed systems.
• Experience scaling engineering teams in startup or high-growth environments.

Why Join Smart Capital Center

• Lead engineering for an AI-native platform transforming Commercial Real Estate.
• Shape engineering culture, architecture, and technical strategy.
• Build products used by leading financial institutions.
• Work directly with founders and executive leadership.
• Solve complex challenges across AI, financial modeling, and large-scale data.
• Build an engineering organization where AI accelerates both product innovation and developer productivity.
• Operate with high ownership, rapid decision-making, and minimal bureaucracy.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We are currently looking for Senior Scrum Master to join our Client team. As a Senior Scrum Master, this is an ongoing role requiring strong experience in Scrum and Agile methodologies, combined with the ability to manage Waterfall-based delivery commitments. The role supports two teams — Finance and Human Resources — each staffed with a Product Owner and engineers, and requires running ceremonies, tracking delivery, and ensuring accurate, well-documented stories for both teams.

The Scrum Master owns timelines, execution, and reporting; the Product Owner retains ownership of the product roadmap and prioritization. The role reports to the Scrum Master Manager, with indirect reporting to the Portfolio Manager and the Heads of Finance and Human Resources.

The role requires minimum 4-hour time zone overlap with Central/Eastern U.S. time zones required, ideally covering the 9:00 AM ET morning window.

Team Composition:

• Human Resources team: 5–6 members, including a Product Owner and engineers.
• Finance team: 8–9 members, including a Product Owner and engineers.

Key Responsibilities:

1) Leadership, Mentorship, Scrum Facilitation and Coaching:

• Lead and facilitate Scrum ceremonies (sprint planning, daily standups, review, retrospective) for two teams — Finance and HR — on a bi-weekly sprint cadence
• Guide Product Owners and engineers on Agile best practices while adapting to Waterfall requirements for select projects
• Identify and remove risks or blockers to keep delivery on track across both teams.

2) Strategic Planning:

• Align sprint execution with Waterfall project timelines and delivery commitments.
• Partner with each team's Product Owner on translating roadmap priorities into sprint-level execution (Product Owners retain roadmap ownership).

3) Agile Estimation and Planning:

• Own timelines, execution planning, and story point estimation (T-Shirt Sizing, Story Points, etc.) across both teams
• Track sprint velocity, story carryover, and estimation accuracy sprint over sprint
• Review stories drafted by Product Owners for completeness and accuracy to prevent scope changes or integration issues during planning.

4) Stakeholder Collaboration:

• Coordinate daily with Finance and HR Product Owners and engineers to ensure business requirements are clearly understood and documented
• Communicate status, risks, and delivery progress to the Head of Finance, Head of HR, and Portfolio Manager.

5) Metrics and Reporting:

• Track and report KPIs including delivery of committed story points, estimation accuracy, sprint carryover, and story quality
• Maintain accurate documentation of scrum notes, decisions, and business processes discussed during ceremonies.

6) Enterprise Agile Transformation, Continuous Improvement and Innovation:

• Support the broader effort to bring consistent Agile/Scrum structure and process discipline to the Finance and HR functions
• Promote continuous improvement in story quality, planning accuracy, and cross-team communication.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Business, or a related field.
• Certified ScrumMaster (CSM) or similar Agile certification.
• Minimum 5 years of proven experience as a Scrum Master, with a focus on leading multiple teams.
• In-depth understanding of Agile principles and advanced Scrum practices, plus working knowledge of Waterfall project management.
• User-level working knowledge of the Workday application (Finance and Payroll modules; light HCM) sufficient to understand business processes and communicate technical needs. Workday administration or configuration experience is not required.
• Strong leadership, coaching, and mentoring skills.
• Excellent communication and stakeholder management abilities, including regular reporting to department leadership (Heads of Finance and HR) and the Portfolio Manager.
• Ability to run Scrum ceremonies effectively while also tracking Waterfall-style delivery commitments and timelines.
• Ability to review and validate user stories for completeness and accuracy to prevent late-stage scope changes or integration issues.
• Experience with Jira, Confluence, Smartsheets, and whiteboard tools (Miro/Mural/Lucid).
• User-level understanding of Workday business processes (Finance and Payroll; light HCM) sufficient to translate business needs into accurate stories.
• Certification or demonstrated experience with one or more Agile scaling frameworks is preferred.
• Proficiency in problem-solving and resolving intricate discrepancies efficiently.
• Demonstrated ability to work across multiple teams simultaneously to deliver outcomes.

We offer:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

Peachy builds digital commerce experiences that drive results.

We’re a design and engineering partner for brands that expect performance. We specialize in high-converting, fully custom websites, apps, and commerce platforms. Everything we create is built to launch fast, scale easily, and stay ahead.

We’re not a marketing agency. We’re not a branding studio. We don’t separate strategy from execution or visuals from outcomes. Our work lives where product thinking, creative direction, and revenue meet.

Every project is shaped by data and built with conversion in mind. Our process combines UX, CRO, data driven design, and development into one tight, focused system. This is how we help brands grow faster, sell more, and outpace the competition.

What we build becomes an advantage. Our websites and platforms provide brands with speed, control, and a foundation to scale their marketing, launch new ideas, and grow without friction.

Peachy is hybrid, async-friendly, and built for outcomes. We work with ambitious companies that want more from digital. Our reputation is built on what we deliver.

We are looking for an E-commerce Designer who is confident creating high-converting user experiences and understands not only visual design, but also the business and conversion goals behind every design decision.

 

Experience

• 3+ years of commercial design experience
• Strong portfolio featuring:
• Web design projects
• E-commerce work
• Landing pages
• Product design experience is a plus
• Experience working with US-market projects is highly preferred
• Upper-Intermediate English level or higher
   

Hard Skills

Strong proficiency in:

• Figma
• Adobe Creative Suite (Photoshop, Illustrator)
• Sketch or similar design tools is a plus
  Experience with:
• Web design
• E-commerce projects
• Landing pages
• Graphic design elements for digital products
  Strong understanding of:
• UX/UI principles
• Typography, composition, and visual hierarchy
• Conversion-focused design

• Branding and digital identity systems

   

  Responsibilities:

• Design high-converting e-commerce pages and landing pages
• Create modern and visually engaging UI solutions for digital products
• Develop user-focused and conversion-oriented design concepts
• Work closely with the team on creative direction and project execution
• Maintain strong visual hierarchy, typography, and composition across projects
• Contribute to branding and digital identity systems
• Design responsive web experiences for international markets
• Optimize user experience based on CRO and UX/UI best practices
   

What We Offer

• Fully remote work
• Minimal bureaucracy and efficient workflows
• Individual growth and professional development opportunities
• Exposure to international e-commerce projects focused on the US market
• AI-focused learning and integration into daily workflows
• Supportive team environment with open communication
• Opportunity to influence design direction and project outcomes

Наш клієнт, Growe, провідна консалтингова компанія та група сервісів у сфері iGaming і розваг. Вони створюють стратегії, що працюють, та рішення, які масштабуються. Поєднуючи стратегічне бачення з практичним досвідом, Growe допомагає бізнесам орієнтуватися в динамічній індустрії, відкривати нові можливості, виходити на нові ринки та досягати сталого зростання.
 

Ідеально для тих, хто прагне:

• Обробляти сповіщення щодо ризиків у казино та платежах відповідно до стандартів компанії;
• Виявляти підозрілих гравців і потенційні випадки шахрайства протягом зміни;
• Вирішувати кейси, пов’язані з ризиками у казино та платежах, відповідно до встановлених процедур;
• Долучатися до вдосконалення операційних процесів;
• Своєчасно повідомляти керівництво про аномалії, пов’язані з казино та платежами;
• Працювати за змінним графіком 5/2, що включає ранкові, вечірні та нічні зміни.
   

Досвід, який стане твоєю перевагою:

• Від 1 року досвіду у сфері Risk, Fraud, Payments, Fintech або суміжних напрямах;
• Сильні навички роботи з числовими даними та Excel;
• Знання Google Sheets та інструментів для підготовки звітності буде перевагою;
• Англійська на рівні Upper-Intermediate.
   

Ми цінуємо:

• Сильні комунікаційні навички та вміння співпрацювати;
• Здатність ефективно працювати як самостійно, так і в команді;
• Гнучке аналітичне мислення;
• Старанність, відповідальність і надійність;
• Хороші навички тайм-менеджменту.
   

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

Долучайся — і нехай твоя історія зростання розпочнеться.
 

English version:

Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth.
 

Perfect for those who aim to:

• Process casino and payment risk alerts in line with company standards;
• Identify suspicious players and potential fraud during the shift;
• Resolve casino and payment cases based on established procedures;
• Contribute to improving operational processes;
• Report casino and payment anomalies to management in a timely manner;
• Work in a rotating 5/2 schedule, including morning, evening, and night shifts.
   

Experience you’ll need to bring:

• 1+ year of experience in Risk, Fraud, Payments, Fintech, or related fields;
• Strong numerical and Excel skills;
• Knowledge of Google Sheets and reporting tools will be a plus;
• Upper-Intermediate level of English.
   

It’s a perfect match if you have those personal features:

• Strong communication and collaboration skills;
• Ability to work both independently and as part of a team;
• Flexible analytical mindset;
• Diligence, responsibility, and reliability;
• Good time management skills.
   

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Apply, and let your growth journey begin.

About Our Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Senior Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

Responsibilities:

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team.

Required Qualifications:

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings.

Desired Skills:

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience.

Details:

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Our SEO department is growing, and we are opening applications for an intensive internship program. No prior experience or course certificates required - we value a strong work ethic, curiosity, and a drive to learn above all.
 

What You’ll Be Working On

• Supporting link acquisition, outreach, and competitor research.
• Exploring competitors to identify new SEO opportunities across multi-geo campaigns.
• Working with SEO platforms, datasets, and research tools.
• Translating learning into real execution on ongoing campaigns alongside experienced leads.
   

Profile We’re Looking For

• Genuine interest in SEO and digital growth.
• Readiness to learn quickly, work hard, and act on real-time feedback.
• High attention to detail, accuracy, and structured thinking.
• Basic communication and task management skills.
• English at Intermediate level or higher is a plus.

How It Works & What You Get

• Month 1 (Internship): A hands-on, unpaid evaluation period focused on practice over theory.
• Mentorship & Workflow: Direct guidance from Senior SEO Leads with communication streamlined via Telegram for fast integration.
• Career Growth: Top performers transition directly into a paid probation period as a Junior SEO Specialist, with long-term financial and professional growth inside a performance-driven team.

About Our Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Senior Software Engineer for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and autonomously optimize Apache Iceberg tables. You will own features through the full development cycle, from design through deployment, in a multithreaded, distributed environment where scalability, performance, and always-on availability are the baseline expectations.

This is a systems-level, backend engineering role focused on data infrastructure internals — not application development or CRUD services.

Responsibilities:

• Own the full software development cycle — inception, design, development, testing, deployment — for catalog and data-management services
• Build and operate services for automated ingestion and autonomous optimization of Apache Iceberg tables
• Reason about concurrency and parallelization to deliver scalability and performance in multithreaded, distributed systems
• Drive performance tuning and system-efficiency improvements
• Work with Apache Foundation open-source projects, contributing upstream where agreed
• Participate in code and design reviews, upholding a high engineering bar
• Collaborate with product managers, support teams, and solution architects on feature requests and design updates
• Partner with US-based engineering leads on technical decisions.

Required Qualifications:

• B.S., M.S., or PhD in Computer Science or a related field
• 5+ years of software engineering experience, preferably focused on database systems or related fields
• Strong object-oriented programming skills in Java or C++
• Solid grounding in data structures and algorithms
• Hands-on experience with multithreaded and asynchronous programming patterns for scalable, performant systems
• A passion for engineering quality — zero-downtime upgrades, availability, resiliency, and uptime as first-class concerns
• Comfort with a fast-moving environment; strong ownership; the confidence to defend a technical position and the openness to be mentored
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings.

Desired Skills:

• Database internals and query planning
• Distributed systems: concurrency control, data replication, storage systems
• Apache Iceberg or other open table formats (Delta Lake, Hudi)
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Contributions to open-source data infrastructure (Apache projects especially valued).

Details:

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

🚀 We’re Looking for a Junior Sales / Lead Generation Specialist!

✅ What we expect from you:

• English level B1 or higher
• Strong written communication skills
• Willingness to learn and take initiative
• A results-oriented mindset
• Previous experience in sales or lead generation is a plus, but not required - we’ll teach you everything you need to know!
   

💼 What you’ll be doing:

• Finding potential clients through LinkedIn, Upwork, email, and other platforms
• Reaching out to prospects and building initial connections
• Scheduling calls 
• Helping grow and expand the company’s client base
   

🎁 What we offer:

• Full training from day one and ongoing support from an experienced team
• Career growth and development opportunities in Sales and IT
• A friendly and supportive environment
• The opportunity to communicate and work with clients from different countries 🌎

Location: Europe only
Employment type: Full-time, Remote
 

About the Role

We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and deep learning models to modern LLM-powered applications. 
You'll work across the full lifecycle: designing and training models, building RAG and agentic pipelines, and deploying everything into scalable, well-architected production systems.

This role blends hands-on ML engineering with GenAI/LLM development, MLOps, and data engineering, ideal for someone who enjoys working across the stack rather than staying in one narrow lane.
 

What You'll Do

• Design, train, and deploy classical ML and deep learning models (PyTorch, TensorFlow/Keras, scikit-learn) for tasks such as time series analysis, anomaly detection, forecasting, and optimization.
• Build production LLM applications: RAG pipelines, embeddings, semantic search, document processing, and chunking strategies.
• Develop AI agents and multi-step workflows using LangChain, LangGraph, and MCP (Model Context Protocol).
• Apply prompt engineering best practices to improve reliability and output quality of LLM-based systems.
• Deploy and serve models using Docker, Kubernetes, and FastAPI/Flask.
• Build and maintain data pipelines (ETL/ELT) using Apache Airflow, Spark/Databricks, and BigQuery, with a focus on data quality.
• Contribute to system architecture decisions — applying principles like Domain-Driven Design, event-driven architecture, and microservices to build highly available, distributed systems.
• Work with cloud infrastructure, primarily Azure (AWS experience is a plus); experience with Azure OpenAI is a strong advantage.
   

What We're Looking For

Core:

• Strong Python skills with solid experience in classical ML and deep learning (PyTorch, TensorFlow/Keras, scikit-learn).

GenAI / LLM:

• Hands-on experience building production LLM applications: RAG, embeddings, chunking, semantic search, document processing.
• Experience with LangChain, LangGraph, AI agents, and MCP (Model Context Protocol).
• Solid understanding of prompt engineering.

Machine Learning / Data Science:

• Experience with deep learning and classical ML techniques applied to time series, anomaly detection, forecasting, and optimization problems.

MLOps / Deployment:

• Experience with Docker, Kubernetes, and model serving via FastAPI or Flask.

Data Engineering:

• Experience with ETL/ELT processes, Apache Airflow, Spark/Databricks, BigQuery, and building reliable data pipelines with strong data quality practices.

Cloud:

• Experience with Azure (preferred); AWS experience is a plus. Experience with Azure OpenAI is an advantage.

Architecture / System Design:

• Familiarity with architecture frameworks and practices such as TOGAF, C4, ArchiMate, Domain-Driven Design, event-driven architecture, high availability, distributed systems, and microservices.

We offer:

• Remote Work Environment. Work from anywhere and be part of a geographically diverse team;
• Stay Ahead of the Curve. Work with cutting-edge technologies;
• Possibility to influence on processes;
• Paid 16 vacations and 14 sick leaves per year;
• Flexible working hours;
• Possibility of payment by FOP, or Payoneer/Wise;
• Compensation program for purchasing new laptops;
• Paid professional certifications & educational courses;
• Paid English classes;
• Friendly atmosphere with quarterly team buildings;
• No bureaucracy.
   

We respect your time, so inform in advance that the hiring process includes a 2-step interview:

• General interview
• Technical interview

Please note that a background check (reference check) is a mandatory stage of our interview process for this role.
 

Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

For those candidates who don’t get any feedback after applying: We are so thankful for your time and attention to our vacancy! However, sometimes we get too many CVs at once, and it would take several days to answer them all. That’s why we reach out only to relevant candidates. We hope for your understanding.

About Our Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities:

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code.

Required Qualifications:

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings.

Desired Skills:

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions.

Details:

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

ABOUT OUR CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

RESPONSIBILITIES

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team

REQUIRED QUALIFICATIONS

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

DESIRED SKILLS

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience

DETAILS

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

About the Role

The Service Desk technician will be an integral part of the IT support team, providing technical support to internal and external customers. Service Desk technician will be responsible for handling first-level support requests, troubleshooting technical issues, and escalating more complex issues to senior team members. Service Desk technician will work closely with the Service Desk Coordinator to maintain the high quality of IT support services, while developing their technical skills and gaining valuable experience in the field.

Key responsibilities:

• Respond to incoming support requests via phone, email, and chat.
• Troubleshoot technical issues and provide solutions on time.
• Escalate more complex issues to senior team members as needed.
• Document all support interactions in the service management system.
• Maintain a high level of customer satisfaction by effectively communicating with customers and keeping them informed of the status of their requests.
• Participate in training and development opportunities to enhance technical skills.
• Assist in the maintenance of hardware and software inventory.
• Collaborate with team members to identify and resolve systemic issues.

Skills and experience you have:

• Bachelor’s degree in computer science, information technology, or a related field.
• 2-3 years of experience in computer hardware, software, and networking support.
• Good English communication skills, both verbal and written.
• Strong organizational and problem-solving skills.
• Ability to work well in a team environment and handle multiple tasks.
• Customer-focused approach to support and problem resolution.

You receive:

• Modern and international working environment.
• Challenging, engaging, and varied tasks.
• Personal and technical skills development with certified training.
• Competitive salary.
• Private health insurance.

We are looking for a highly proactive and ambitious Growth Operations Manager to take ownership of critical operational processes and drive company goals forward.

This role is for someone who is extremely organized, autonomous, persistent, and comfortable managing multiple priorities at the same time.

What you'll do:

• Manage multiple operational projects and workflows simultaneously.
• Coordinate and assign tasks across internal teams.
• Track deadlines, follow up, and make sure tasks actually get completed.
• Communicate with external partners and account managers.
• Research and find relevant contacts and decision-makers.
• Identify bottlenecks and proactively find solutions.
• Maintain accurate documentation and tracking across multiple accounts and projects.
• Review work carefully before external submission.

• Take ownership of operational KPIs and business goals.

   

What we're looking for:

• 3+ years of relevant experience in Operations, Project Management, Account Management, Growth Operations, or a similar role.
• Exceptional organization and attention to detail.
• Strong ownership mentality and ability to work autonomously.
• Proactive problem-solving — you don't wait for someone to tell you the next step.
• Persistence and confidence in following up with both internal and external stakeholders.
• Strong research and communication skills.
• Ability to manage multiple projects/accounts without mixing information.

• Strong English.

   

What we offer:

• Full-time, long-term cooperation.
• High level of autonomy and responsibility.
• Competitive compensation.
• Performance-based KPI bonuses.

• Opportunity to directly influence company growth and results.

   

We're looking for someone who owns outcomes, not just tasks.