Jobs at Djinni

INFOBUS Holding is one of the leading European platforms for searching and purchasing bus, train, and flight tickets. We connect transport companies and travelers, creating convenient solutions for planning and booking trips. Our mission is to make comfortable travel accessible to everyone. If you’re passionate about travel and want to shape the future of digital products in the travel industry — this position is for you! We are currently looking for a Full stack developer (PHP, Next.js).

What you’ll be doing:
 

1. Support and development of the React widget:

• Support and refactor the existing booking widget (React 19, Webpack 5, i18next)
• Break down large components into smaller, maintainable modules
• Migrate class components to functional components using hooks
• Optimize performance (contexts, re-renders, bundle size)
• Eliminate technical debt and reduce code duplication
• Work with interactive UI elements: seat selection, maps (Leaflet), booking forms, payments
   

2. Next.js + Strapi CMS:

• Develop and maintain the corporate website / landing pages using Next.js
• Configure and customize Strapi CMS for content management
• Integrate CMS with the frontend via REST / GraphQL APIs
   

3. PHP backend:

• Support and develop the server-side part using PHP 7.4
• Work with the Controller → Service → Repository architecture
• Write and maintain unit tests (PHPUnit)
• Refactor legacy code (migrating procedural code to OOP)
• Work with three MySQL databases via MySQLi
  
  Must have for his role:
• JavaScript / TypeScript - strong proficiency
• React - 3+ years of commercial experience (hooks, contexts, render optimization)
• Next.js - experience with SSR/SSG application development
• Strapi CMS - experience in configuration and customization of content types and plugins
• PHP - 2+ years of commercial experience (PHP 7.4+, OOP, MVC patterns)
• Webpack - understanding of configuration, bundling, and bundle optimization
• CSS/SCSS - experience with CSS Modules, Bootstrap, responsive layout
• REST API - experience integrating with backend services

• Git - confident with branching, merge requests, and code reviews

   

  Nice to have:

• Experience with MySQLi, prepared statements, and the Repository pattern
• PHPUnit - experience writing unit tests
• PHPStan / PHP-CS-Fixer - static analysis and code style tools
• Composer - PHP dependency management
• Experience with i18next (multilingual support)
• Experience with Leaflet / mapping libraries
• Knowledge of GraphQL
• Experience refactoring legacy codebases
• Experience with CI/CD (GitLab CI)
• Docker

We offer:

• Cool, long-term projects in an IT company developing its own product and recognized as an expert in the regular transportation market
• Opportunities for professional and career growth
• A high level of corporate culture and openness to innovative ideas

• The opportunity to travel with significant discounts on tickets

   

  Interested in the opportunity? Send us your CV!

   

About Flexifai
Flexifai is a Payment Service Provider specializing in payment processing solutions for the iGaming industry. We work with a global network of acquiring banks, electronic money institutions, and alternative payment providers to deliver reliable and scalable payment infrastructure for online gaming operators.
As we expand our payment network, we are looking for a Payment Partnerships Manager / Business Development Manager to identify, onboard, and manage relationships with payment providers worldwide.
 

Role Overview
The Payment Partnerships Manager will be responsible for building and managing relationships with payment providers, including acquiring banks, PSPs, EMIs, and alternative payment method providers.
The role covers the full partnership lifecycle, from identifying potential partners and negotiating commercial terms to coordinating onboarding, supporting technical integrations, and managing ongoing relationships to ensure smooth payment operations.
This is a hybrid role with the flexibility to work remotely, while requiring presence at the office at least two days per week.
 

Key Responsibilities
Payment Partner Acquisition

• Identify and approach new payment providers including acquiring banks, PSPs, EMIs, and alternative payment method providers.
• Research providers that support iGaming payment processing across different regions.
• Build and maintain a pipeline of potential payment partners.

Commercial Negotiations

• Lead negotiations with payment providers regarding:
  • Processing fees
  • Transaction limits
  • Settlement cycles
  • Rolling reserves
  • Chargeback thresholds
  • Other operational and commercial fees
• Support preparation and review of commercial agreements with partners.

Partner Onboarding & Integration

• Manage the end-to-end onboarding process for new payment partners.
• Coordinate with internal teams including Compliance, Risk, Operations, and Technical Integration.
• Assist with integration planning, implementation, and testing of new payment providers.

Relationship Management

• Act as the main point of contact for assigned payment providers.
• Maintain strong relationships with partners to ensure operational stability and growth.
• Monitor provider performance including approval rates, volumes, and settlement efficiency.

Operational Support

• Troubleshoot payment-related issues in collaboration with internal teams and payment providers.
• Support internal teams in resolving transaction, settlement, or integration issues.

Market Intelligence

• Monitor developments in the global payments ecosystem relevant to iGaming.
• Identify opportunities to expand payment coverage through new providers or payment methods.

Requirements
Experience

• 1–2 years of experience in payments, fintech, partnerships, or business development roles.
• Experience working with:
  • Payment Service Providers (PSPs)
  • Acquiring banks
  • Electronic Money Institutions (EMIs)
  • Payment gateways
• Experience in high-risk industries such as iGaming, Forex, or crypto is considered a strong advantage.

Knowledge

• Basic understanding of payment processing concepts including:
  • Card acquiring
  • Alternative payment methods
  • Settlement processes
  • Rolling reserves
  • Payment fees and transaction flows
• Familiarity with payment integrations and API-based payment systems is a plus.

Skills

• Strong negotiation and communication skills.
• Ability to manage multiple onboarding projects simultaneously.
• Strong organizational and problem-solving abilities.
• Ability to work cross-functionally with technical and operational teams.

Languages

• Fluent English (required).
• Additional languages such as Russian are considered an advantage.

Education

• Bachelor’s degree in Business, Finance, Economics, or a related field (preferred).

Preferred Qualifications (Nice to Have)
Tools & Technology

• Experience working with project and workflow management tools such as:
  • Jira
  • Confluence
  • Airtable
• Experience using AI-powered tools to support research, documentation, or workflow automation.

Industry Exposure

• Experience working with payment integrations or provider onboarding processes.
• Familiarity with operational tools and structured workflows used in fintech and payments companies.

What We Offer

• Competitive salary with performance-based incentives.
• Opportunity to work in a fast-growing global payments environment.
• Exposure to international payment providers and acquiring banks.
• Career development within the fintech and payments industry.
• A modern office in Limassol located next to the beach, near the popular Molos Promenade. 
• Hybrid working model, with the flexibility to work remotely while being present in the office at least two days per week.

PayDo, a leading Electronic Money Institution (EMI) authorised by the FCA in the UK, FINTRAC in Canada, and MFSA in Malta, operates in 140 countries and over 25 industries. Offering multicurrency IBANs, merchant solutions and mass payment options, PayDo provides premium and convenient payment services. With all features available through one platform and contract, PayDo is a preferred solution for local and international payments.

We are looking for an experienced and results-driven Business Development Manager to join our global Sales team. In this role, you’ll identify and secure high-value partnerships, manage large-scale deals, and drive PayDo’s growth across international markets. The ideal candidate has a strong background in fintech or high-risk industries, proven negotiation experience, and a passion for building strategic business relationships in a fast-paced environment.

Requirements:

• 3–5+ years of experience in business development or sales within fintech, payments, or other regulated B2B/B2C environments
• Proven track record of managing and closing large-scale, high-value deals
• Strong negotiation, communication, and relationship management skills
• Experience working with CRM systems
• Analytical and strategic mindset with a focus on results
• Proactive, motivated, and able to work autonomously in a fast-changing environment
• Advanced level of English
• Ability to travel 
   

Nice to have:

• Experience building strategic partnerships with financial institutions, startups, or enterprises
• Deep understanding of fintech trends and technologies (payments, blockchain, AI, etc.)
• Familiarity with KYB/KYC processes in financial institutions
• Degree in Business, Finance, or Economics (MBA is a plus)
   

Responsibilities:

• Identify and develop new strategic partnerships and business opportunities aligned with PayDo’s growth goals
• Manage the full sales cycle — from prospecting and outreach to negotiation, contracting, and long-term relationship management
• Drive expansion into new markets and industries through partnerships and enterprise-level deal
• Collaborate cross-functionally with Legal, Product, Compliance, and Marketing teams to ensure seamless deal execution
• Monitor market trends and competitors to identify new growth areas
• Report regularly on partnership performance, sales pipeline, and revenue impact
• Ensure all deals comply with company policies and regulatory requirements
•  

We work in a result-driven culture. You will fit in if you:

• Take ownership and deliver measurable results
• Act proactively — not waiting to be told
• Thrive in a high-energy, growth-focused environment
• Think strategically and solve problems fast
• Self-motivation, adaptability, and ownership of results.

What we offer:

• Annual Learning & Development Budget – invest in your growth with dedicated funds for courses and certifications
• Regular Performance Reviews Based on KPIs – for your professional advancement
• Transparent career path – opportunity to reach Lead roles within 1 year, Head roles in 2 years, and C-level in 4 years based on performance
• Innovation Financial Rewards – share your ideas via PayDo Ideas Hub and earn extra bonuses
• Public Holidays – aligned with your country’s calendar
• Flexible payout options – via PE accounts or popular e-wallets

Become part of a global team redefining FinTech. Your expertise, passion, and ideas will shape  the future of payments with PayDo!

We are looking for a data-driven Product/Monetization Analyst to support revenue growth and product development across our advertising and video monetization ecosystem.
 

This role sits at the intersection of analytics, product strategy, and growth. You will be responsible for identifying monetization opportunities, validating hypotheses through experimentation, and translating complex data into actionable product decisions.
 

Scope of Responsibility and Key Responsibilities:

• Funnel analysis and identification of growth opportunities in monetization.
• Formulating and prioritizing product growth hypotheses based on data.
• Conducting A/B analysis and evaluating the impact of product changes.
• Close collaboration with Product and Growth teams.
• Preparing various forecasts and performance projections.
• Tools & Technical Stack
  • Advanced use of Google Analytics.
  • Working with Google Ad Manager (GAM) at the reporting and yield-metrics level.
  • Building and optimizing SQL queries.
  • Writing Python scripts for data processing and analysis.

Background

• 3–5+ years of experience in analytics within digital / adtech / media.
• Advanced proficiency in SQL.
• Experience analyzing advertising and video performance metrics.
• Ability to develop data-driven hypotheses and validate them.
• Hands-on experience with Google Analytics and Google Ad Manager (GAM).
• Understanding of advertising product unit economics.
  
  Why join?
• 20 vacation days + paid sick leave + 1 extra day/month.
• Up to 100% learning reimbursement.
• Laptop + home office setup support.
• Team events, no micromanagement.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We’re looking for a success-driven Database Administrator for one of our clients.

Full-time, long-term position with the flexibility to work either from the office or remotely.

Responsibilities:

— Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.

— Maintain and support MongoDB databases across both Atlas and on-prem environments.

— Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.

— Monitor database systems for health, performance, and availability.

— Advise software engineers on SQL query optimization and database schema design.

— Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.

— Plan and contribute to long-term scalability and database architecture.

— Implement database changes, apply patches, and manage version upgrades.

— Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.

— Participate in the on-call rotation to support production systems.

Requirements:

— 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).

— Hands-on data engineering experience (Airflow preferred).

— AWS experience (minimum 1 year).

— Advanced T-SQL development skills.

— Proficiency with Git and modern code management workflows.

— Strong understanding of backup, recovery, security, and data integrity principles.

— Excellent problem-solving skills with strong algorithmic thinking.

— Ability to work effectively in a fast-paced environment and meet deadlines.

— Fluent in English.

Nice to Have:

— Experience with dbatools, Redgate SQL Toolbelt, Coralogix.

— Exposure to CI/CD pipelines and Liquibase.

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cozy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

.  What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

.  What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.

• English: Upper-intermediate or higher.

   

  What We Offer:

✔️ 18 vacation days + 12 sick leaves annually.
✔️ A high-tech workplace (MacBook Pro + Dell monitor).
✔️ Exciting projects with cutting-edge technologies.
✔️ Flexible work hours and competitive salary.
 

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We’re looking for a success-driven Database Administrator (MongoDB & Relational) for one of our clients.

Full-time, long-term position with the flexibility to work either from the office or remotely.

Requirements:

— 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).

— Hands-on data engineering experience (Airflow preferred).

— AWS experience (minimum 1 year).

— Advanced T-SQL development skills.

— Proficiency with Git and modern code management workflows.

— Strong understanding of backup, recovery, security, and data integrity principles.

— Excellent problem-solving skills with strong algorithmic thinking.

— Ability to work effectively in a fast-paced environment and meet deadlines.

— Fluent in English.

Nice to Have:

— Experience with dbatools, Redgate SQL Toolbelt, Coralogix.

— Exposure to CI/CD pipelines and Liquibase.

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cosy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Stark Affiliates is a fast-growing affiliate marketing network specializing in connecting advertisers with targeted audiences to generate high-quality leads across global markets.

We are looking for a motivated Sales Junior to join our team in a fully remote position. This is an entry-level role, ideal for someone eager to grow in the affiliate marketing and sales field while working in an international environment.
 

Key Responsibilities:

• Assist in building and maintaining strong relationships with affiliates, ensuring consistent communication and support.
• Collaborate with senior team members to recruit and onboard new affiliates.
• Monitor daily traffic and performance metrics to identify trends and optimization opportunities.
• Support weekly performance reviews and help prepare feedback for affiliates.
• Assist in managing CAPs and lead statuses to drive ROI.
• Provide administrative and operational support to the sales team.
• Handle affiliate and client inquiries promptly and professionally.

Qualifications:

• Proven experience in sales, customer service, or marketing (mandatory).
• B2 English, both written and verbal (mandatory).
• Strong communication, organizational, and problem-solving skills.
• Self-driven, adaptable, and eager to learn in a fast-paced, performance-oriented environment.
• Academic background in marketing, business, or a related field is an advantage.

Why Join Us?

• Fully remote role with the ability to work from anywhere.
• Exposure to international affiliate marketing and sales operations.
• Hands-on learning and professional growth opportunities.
• Supportive team environment with clear development paths.
• Opportunity to build a long-term career in a growing affiliate network.

We are looking for experienced Sales Manager for Digital Marketing Agency!

Full-time / Part-time 

Remote 

About Agency:

Digital Marketing is a Dubai-based agency providing performance-driven marketing solutions across UAE, USA, and Europe. We help brands grow through social media management, paid advertising, and search marketing.

What You’ll Do

• Manage the full sales cycle: from lead generation to closing deals
• Close 3–5 new clients per month
• Build and maintain a sales pipeline and CRM system
• Identify and develop new sales channels and opportunities
• Communicate with international clients (UAE, US, Europe)

• Present and sell services:

   

  • Social Media Management (Instagram, TikTok, YouTube, Snapchat)
  • Paid Ads (Meta Ads, TikTok Ads, Snapchat Ads)
  • Google Ads & SEO services

   

• Collaborate with internal teams (marketing, project managers)

Requirements

• 2+ years of experience in sales (digital marketing preferred)
• Proven track record of closing deals consistently
• Experience working with international markets (UAE / US / Europe)

• Strong understanding of:

   

  • Digital marketing services
  • Current sales tools & outreach methods

   

• Ability to manage full-cycle sales independently
• Experience with CRM systems
• Strong negotiation and communication skills
• English: Advanced or higher

Nice to Have

• Experience selling SMM or performance marketing services
• Existing network or client base
• Experience with outbound sales (LinkedIn, cold emails, etc.)

What We Offer

• Competitive compensation (fix + commission / high % from deals)
• Opportunity to work with global clients
• Fast-growing agency environment
• Freedom to test and implement your own sales strategies
• Direct impact on company growth

Who We’re Looking For

• Result-oriented and proactive
• Reliable and accountable
• Strong team player
• Focused on performance and continuous improvement

Role Summary

We are looking for a Senior Data Scientist to lead the data intelligence layer of an AI-driven platform. This role focuses on extracting insights from structured and unstructured documents, building document processing and OCR pipelines, improving semantic retrieval systems, identifying information gaps in datasets, and maintaining high standards of data quality across end-to-end data workflows.
 

Key Responsibilities

• Design and improve OCR and document intelligence pipelines that convert complex PDFs and supporting files into structured, machine-readable data.
• Develop semantic retrieval workflows that identify relevant historical records and support recommendation systems based on similarity and contextual matching.
• Create data-driven methods to detect missing, incomplete, or inconsistent information within document-based datasets.
• Define and monitor data quality standards, validation rules, completeness checks, and anomaly detection mechanisms across data pipelines.
• Analyze structured and unstructured datasets to uncover patterns affecting operational performance, classification quality, and decision outcomes.
• Collaborate with machine learning engineers to prepare high-quality datasets for model training, validation, and iterative improvement.
• Develop labeling strategies, feature definitions, and dataset enhancement workflows for early-stage and production use cases.
• Evaluate the performance of retrieval systems, document extraction pipelines, and information coverage.
• Work closely with engineering and product teams to operationalize insights through dashboards, tools, and data-driven workflows.
• Communicate analytical findings, experiment results, and actionable insights clearly to technical and non-technical stakeholders.
   

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related technical field.
• 5+ years of experience in data science, applied NLP, document intelligence, or analytics-focused roles. 
• Strong proficiency in Python and practical experience with data science libraries and NLP tooling. 
• Experience building document processing or OCR pipelines and working with semi-structured or noisy datasets.
• Strong understanding of embeddings, semantic search, retrieval evaluation, and similarity-based recommendation systems.
• Experience with data cleaning, validation, feature engineering, and dataset quality management.
• Ability to design experiments and translate analytical findings into product or model improvements.
• Strong SQL skills and solid analytical problem-solving abilities.
   

Nice to Have

• Experience working with AI systems in regulated or compliance-sensitive environments.
• Familiarity with multilingual NLP applications or systems that support multiple languages.
• Experience with vector databases or retrieval-augmented architectures.
• Exposure to annotation workflows and human-in-the-loop review processes.
• Experience building dashboards, defining operational KPIs, or supporting data-driven reporting.
  
  We offer:
• Flexible working schedule
• Fully remote work
• Compensation for medical, educational and sports activities
• Professional growth opportunities
• Internal knowledge-sharing talks
• Awesome team events and activities
• Paid vacation and sick leave

We are building ChestHunt, a real-world AR treasure hunting mobile game with a complex in-game economy based on probabilistic rewards, crafting systems, and monetization mechanics.

We are looking for a Game Mathematician to design and balance a fair yet profitable long-term game economy that ensures sustainable player retention.

This is a remote part-time role.

What You Will Do:

Probability Design (Loot Tables)

• Design and balance drop rates for items of different rarity tiers (Common, Rare, Epic, Legendary)
• Configure reward distributions across various chest types
• Calculate expected value and volatility of rewards
• Ensure long-term fairness and player satisfaction

Crafting Economy Balance

• Model crafting systems and resource conversion loops
• Calculate cost-to-benefit ratios for crafting mechanics
• Ensure crafting paths remain viable but do not undermine monetization
• Design resource sinks to prevent inflation

Player Progression Modeling

• Build mathematical models of player growth and progression
• Estimate time and resource requirements to reach key milestones
• Design pacing systems for early, mid, and late-game stages
• Support retention through optimized progression curves

Monetization & iGaming Mechanics

• Implement probabilistic monetization mechanics inspired by iGaming models
• Define RTP (Return to Player) targets and reward volatility levels
• Balance monetization loops while maintaining perceived fairness
• Support revenue optimization without damaging long-term retention

Simulation & Testing

• Develop simulation models to stress-test the in-game economy
• Run large-scale iterations to identify inflation or imbalance risks
• Validate economic sustainability over long player lifecycles
• Provide data-driven recommendations for economy tuning

✅ Requirements

• Strong background in:

   

  • Probability Theory
  • Combinatorics
  • Mathematical Statistics

   

• Advanced expertise in building complex models in:

   

  • Excel / Google Sheets

   

• Experience with game economy balancing (preferably in):

   

  • Slots / iGaming
  • RPG
  • Crafting or Survival games

   

• Understanding of player psychology:

   

  • Ability to balance “quick wins” vs resource challenges

   

• Strong analytical and problem-solving mindset

Nice to Have

• Experience with Monte-Carlo simulations
• Python scripting skills
• Experience in F2P mobile game economies
• Familiarity with retention and monetization loops
• Experience in AR or location-based games

Work Format

• Remote
• Part-time
• Flexible schedule
• Long-term collaboration potential

Why Join Us

• Opportunity to design economy from scratch
• Direct impact on core product success
• Startup environment with high ownership
• Real-world game concept with global scalability

Short-Term  Engagement, with potential ongoing advisory support

We are looking for a DevSecOps Engineer with 3+ years of experience to help audit, strengthen, and improve the security posture of a small but growing SaaS platform serving nonprofit and corporate clients.

OVERLAP 14:00–16:00 Mountain Time (MT)

This role is security-first, with DevOps responsibilities as a secondary layer. The main goal is to assess the current infrastructure, identify security and compliance gaps, and implement a practical roadmap to improve the platform’s overall resilience, compliance readiness, and long-term sustainability.

What we are looking for:

— 3+ years of hands-on experience in DevSecOps, DevOps with a strong security focus, or cloud/infrastructure security

— Strong experience with AWS and cloud security best practices

— Experience with GitHub Actions, CI/CD security, Docker, and container/image scanning

— Experience reviewing and securing hosted platforms, including PaaS environments such as Render or similar

— Solid understanding of IAM/access control, secrets management, DNS security, backups, disaster recovery, and infrastructure hardening

— Experience identifying and remediating security gaps in small or mid-sized SaaS environments

— Familiarity with SOC 2 controls and general compliance-oriented security practices

— Ability to recommend pragmatic, cost-conscious solutions for a small team

— Strong communication skills and ability to explain risks, tradeoffs, and priorities clearly to non-security stakeholders

— English level: B2 minimum

Project scope:

— Initial security and infrastructure audit

— Identify risks, vulnerabilities, and operational gaps

— Build and prioritize a remediation roadmap

— Implement key improvements over a 2–3 month engagement

— Potential for ongoing periodic security reviews and advisory support afterward
 

Current stack / environment:

— Git

— GitHub Actions

— Docker

— AWS

— Render
 

What you will do:

— Audit the current cloud and application setup from a security and DevSecOps perspective

— Review infrastructure, deployment processes, DNS configuration, access controls, and backup/disaster recovery practices

— Identify gaps related to SOC 2 readiness and help prepare for stronger enterprise security expectations

— Assess security controls around CI/CD, secrets management, container images, user access, and production environments

— Review existing vulnerability scanning practices and recommend improvements, including dynamic scanning where needed

— Help define and implement practical controls such as firewalling, hardening, monitoring, least-privilege access, and security hygiene improvements

— Investigate risks related to DNS, exposed services, stale records, misconfigurations, and other overlooked infrastructure issues

— Support the team in creating a sustainable, right-sized security approach for a small organization without overengineering

— Translate findings into an actionable roadmap with clear priorities, balancing risk, cost, and implementation effort

— Help improve confidence in responding to enterprise security questionnaires from large corporate clients
 

Role Summary

We are looking for a Senior ML Engineer who will be responsible for the end-to-end lifecycle of machine learning models, including design, training, evaluation, deployment, and ongoing optimization. In this role, the engineer will work on building and maintaining model ensembles, defining inference logic, establishing retraining workflows, monitoring model performance and drift, and integrating ML solutions into production systems that support real-time decision processes.

The platform follows a hybrid architecture where deterministic rule-based logic is applied first, and more complex scenarios are routed to a machine learning layer for deeper analysis.
 

Key Responsibilities:

• Design, train, fine-tune, and optimize machine learning models used for risk estimation, classification tasks, and automated decision support.
• Develop and maintain ensemble strategies that combine outputs from multiple models, including confidence-based routing and prediction aggregation.
• Build and manage retraining pipelines leveraging synthetic, curated, and eventually production-scale datasets to continuously improve model performance.
• Define evaluation methodologies, performance thresholds, fallback strategies, and human-in-the-loop review triggers for low-confidence predictions.
• Collaborate with backend and product teams to integrate model inference into real-time services and scalable production APIs.
• Improve model reliability, interpretability, and operational performance across early-stage and production workflows.
• Implement monitoring systems to track model drift, prediction quality, system latency, and conditions that trigger retraining.
• Explore and evaluate alternative domain-adapted foundation models when appropriate.
• Ensure traceability and auditability of model predictions while adhering to security, privacy, and deployment standards.
• Contribute to system architecture, MLOps practices, and deployment standards for machine learning solutions in secure cloud or on-premise environments.
   

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
• 5+ years of practical experience building and deploying machine learning solutions in production environments.
• Strong proficiency in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, or similar tools.
• Solid understanding of core ML concepts including supervised learning, classification, ranking methods, model calibration, and evaluation techniques.
• Experience adapting and fine-tuning domain-oriented models, as well as working with multi-model or ensemble-based approaches.
• Hands-on experience developing ML pipelines covering training, validation, deployment, and iterative retraining.
• Familiarity with integrating ML systems into API-driven services, as well as working with containers, CI/CD pipelines, and model serving infrastructure.
• Experience with experiment tracking, model version control, and monitoring model performance in production.
• Ability to work effectively with incomplete, evolving, or partially labeled datasets in real-world environments.
   

Nice to Have:

• Experience working with AI systems in regulated or compliance-sensitive environments.
• Familiarity with multilingual machine learning use cases or models designed to support multiple languages.
• Experience applying model explainability techniques, confidence estimation, and human-in-the-loop review workflows.
• Exposure to vector search, semantic retrieval methods, or document understanding pipelines.
• Experience building or operating ML solutions in privacy-sensitive environments with strict data protection requirements.
  
  We offer:
• Flexible working schedule
• Fully remote work
• Compensation for medical, educational and sports activities
• Professional growth opportunities
• Internal knowledge-sharing talks
• Awesome team events and activities
• Paid vacation and sick leave

We are looking for a Senior DevOps Engineer to join our team!  

Requirements: 
- Excellent knowledge and regular 3+ years of experience with the following technologies:
- DevOps practices(IaC, CI/CD, GitOps)
- AWS Cloud (EKS, ECR, EC2, IAM, RDS, EBS, EFS, VPC, S3, Route53)
- Kubernetes at the CKA/CKS/CKAD certification level, real clusters management experience.
- Terraform: write, maintain, review, test, and improve complex solutions
- Helm: write, review, and test Helm charts and deploy releases
- Ansible: maintenance of roles and collections, deploy via automated pipelines, troubleshooting
- Basic network concepts knowledge

Will be plus:

- Experience of using and working with Openstack environments is a big plus
- Experience implementing or supporting Hashicorp Vault instances
- Monitoring (Grafana, Prometheus, Tempo, Loki)
- Debian Linux - installation, configuration and administration
- Ability to write and analyze basic bash or python scripts
- Experience completing CNFC, RedHat or other relevant certifications, not for the badge, but for the knowledge

Responsibilities:

The specialist will work in a DevOps team whose primary focus is developing standard and typical solutions using technologies such as Terraform, Ansible, and Helm. So good expertise in those technologies is required. We also deploy and support infrastructure that is based on a K8S clusters (without on-call duties). That means troubleshooting k8s and AWS cloud services. Strong knowledge of GitLab CI and ArgoCD gitops tool will help you greatly. Occasionally a linux system administration and bash/python scripting too. 

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

🗣Free internal English courses

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 

 

We are looking for an Account Manager to join an international e-commerce company based in China.
 

The company works with 40,000+ e-commerce stores worldwide and is now launching a new B2B service — agency advertising accounts (Meta / Google / TikTok).
 

This role is focused on client communication and operational coordination, not media buying.

Responsibilities

• Work with e-commerce clients using agency ad accounts
• Explain how the service works and support clients during onboarding
• Coordinate account setup with partner agencies
• Manage ongoing client communication and requests
• Control ad account top-ups (payments) and coordinate with finance

• Ensure smooth day-to-day operations

   

Requirements

• 1+ year of experience as Account Manager / Sales / Customer Success
• Experience in e-commerce / digital / advertising
• Understanding of how online ads or ad accounts work (Meta / Google / TikTok)
• Strong communication skills
• English — B2+

• Ability to work in a fast-paced, international environment

   

Nice to have

• Experience with dropshipping

• Experience with agency ad accounts / performance marketing

   

Working conditions

• Fully remote
• Timezone: partial overlap with China (flexible)

• Communication: WhatsApp / WeCom

   

Why join

• Work with global e-commerce clients
• Fast-growing new product (ad accounts)
• Opportunity to grow into a Lead / Head role
• Performance-based income growth