Jobs at Djinni

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

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior DevOps Engineer!  

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

CodeGeeks Solutions is a software company led by top-notch experts with over 10 years of experience in product design & software development. We are able to comprehensively cover the needs of our clients and focus on the full cycle of development.

Now we are looking for a Test Engineer in Lviv to join our team!

Why us?

— we trust our team, love and care that everyone feels as comfortable as possible with their work and our atmosphere
— this work will bring you pleasure: you will be able to develop and acquire new skills, and we will help you with this
— here you will find like-minded people and true friends
— here you will feel happy even with thought that Monday is tomorrow
— we are young, promising and successful :)

We Offer:

• 15 days of annual time off paid + company-wide New Year’s holiday in the last week of the year (5 days)
• 20 days of sick leave paid (5 — 100%, 15 — 50%)
• IT Cluster membership
• Flexible work schedule and remote work options
• Chance to make a real impact and shape the future of our company
• Education compensation
• Clear career map, continued professional development and growth opportunities
• Opportunity to work with a talented and dynamic team of experts
• Internal training and meetups
• Access to corporate learning materials
• High-level compensation and regular performance-based salary and career development reviews
• PE accounting and support
• Work in a comfortable, modern and cozy office in Lviv
• Team buildings & corporate events

• Referral program

   

You are:

QA with experience/knowledge of:

• Having knowledge of the Fundamental Test Process
• Understanding Agile methodology
• Web Applications and specifics of their testing
• Testing techniques
• Preparing test design according to the defined test approach
• Performing defect analysis and writing detailed and helpful defect reports with expected results for resolving defect
• Creating, updating, supporting, and providing the review of requirements, user stories or other documents related to QC activities on a project
• API Testing (will be a plus)

• Upper Intermediate English level

   

Your responsibilities:

• Participating in all aspects of the QA product lifecycle
• Designing tests
• Preparation of test cases
• Performing root cause analysis on defects in a test environment
• Estimating, prioritizing, planning, and coordinating testing activities
• Active participation in Scrum meetings, iteration planning, and feature demos

• Keeping product high-quality

   

Together we will:

• Run the project for our client to build a great product that makes an impact on the client
• Build an excellent team with a friendly atmosphere

• Support your technical and personal growth — we have a dedicated career plan for all roles in our company

   

Our Recruiting process:

• Interview with HR
• Technical Interview with Head of QA Office

If you want to develop professionally in a team of like-minded people and make this world better — we are waiting for your resume!

About the role

We are looking for a Junior QA Engineer who will help maintain high product quality across web applications, admin panels, and internal systems.

You will work closely with developers, PMs, and designers to test functionality, identify bugs early, and support stable product releases.

This role is suitable for someone who wants to build a strong QA career in a technically demanding environment.

Responsibilities

• Perform manual testing of web applications and user flows
• Validate functionality against requirements and expected behavior
• Create and maintain test cases, checklists, and QA documentation
• Reproduce bugs and write clear bug reports
• Verify bug fixes and perform regression testing
• Test UI behavior, logic, validations, and edge cases
• Collaborate with developers and PMs to clarify expected behavior
• Support release validation and stability checks
• Maintain QA documentation and testing processes

Requirements

• 6–18 months of experience in QA, internship, or strong practical manual testing background
• Understanding of manual testing fundamentals
• Ability to write clear and structured bug reports
• Strong attention to detail and logical thinking
• Responsible and systematic approach to testing
• English sufficient for writing bug reports and communication with the team

Mandatory education requirement

Candidates must have completed specialized professional QA / Software Testing courses.

Requirements:

• Course in QA / Software Testing / Manual Testing / Software Quality Assurance
• Course duration at least 3 months
• Certificate or diploma confirming completion

Candidates without formal QA training and certificate will not be considered for this role.

Nice to have

• Experience testing web applications or admin panels
• Experience working with Jira and Confluence
• Basic API testing knowledge (Postman or similar tools)
• Basic SQL knowledge
• Understanding of frontend/backend interaction
• Interest in Web3, AI, fintech, or trading products

What we offer

• Fully remote work format
• Opportunity to work on Web3, AI, and fintech products
• Collaboration with experienced engineers and product specialists
• Strong environment for growth into a Middle QA Engineer

Responsibilities:

• Provide technical support to employees
• Select and purchase equipment
• Prepare equipment for new employees
• Maintain equipment records
• Support office network
• Improve and automate IT department processes

Requirements:

• Advanced knowledge of MacOS, Windows, Linux
• Basic command line knowledge (sh, bash, cmd\powershell)
• Basic understanding of network models (OSI, TCP/IP)
• Understanding of how network protocols work (DHCP, DNS, HTTP, SSL, SSH, VPN)
• Problem identification and resolution skills

Would be a plus:

• Basic knowledge of the Bash and/or Python programming languages
• Basic knowledge of Jenkins, AWS