Jobs at Djinni

Head of CRM & Retention Department

Location: Kyiv (Hybrid)
Industry: Online Sports & Entertainment

About the Company (NDA)

A large international company in the online sports and entertainment industry, one of the market leaders with many years of experience and millions of active users worldwide. We are constantly growing and implementing cutting-edge technologies to enhance customer engagement and experience.

Role Purpose

Drive revenue growth within the retention stream, increase player profitability, and boost the number of reactivated users through the creation and implementation of effective CRM and retention strategies.

Key Responsibilities

• Develop and implement CRM and retention strategies to increase customer loyalty and lifetime value.
• Create and optimize customer segments, ensuring personalized communications.
• Monitor, analyze, and optimize CRM and retention KPIs.
• Prepare and present performance reports.
• Manage and lead a team of 10+ CRM/Retention specialists.
• Implement and optimize CRM systems and related business processes.
• Collaborate closely with Marketing, IT, and Product teams to integrate CRM strategies.
• Manage and develop customer retention campaigns, including the VIP segment.

Key Performance Indicators (KPIs)

• Revenue growth in the retention stream.
• Increased player profitability.
• Higher number of reactivated users.

Candidate Requirements

• 3+ years of experience as Head/Lead Retention.
• Proven track record of managing teams of 10+ specialists.
• Experience in the gambling/betting industry is a strong advantage.
• Proficiency in CRM systems and analytics tools (e.g., Google Analytics).
• Knowledge of A/B testing and other optimization methods for marketing strategies.

Why Join Us

• Be part of a large, international market leader.
• Direct influence on key business metrics.
• Lead a strong, professional team.
• Access to advanced CRM tools and analytics.
• Competitive compensation and performance-based bonuses.
• Hybrid work format with a modern office in Kyiv.

Do you want to participate in interesting and diverse projects, work on the latest equipment using advanced technologies, and participate in the creation of unique devices that will come to life before your eyes? Then welcome to Ektos! 

Working Experience Requirements:

• Min 2 years of active project management and/or 3 finished COMMERCIAL projects of the man-efforts size not less than 2000 mh

• Was a project delivery responsible person at least in 1 COMMERCIAL project (first in line in the project delivery process)

The Required Primary List of Hard Skills for the Project Manager Position:

• Master’s or Bachelor’s degree in a STEM field (Science, Technology, Engineering, or Mathematics).

• Strong analytical and abstract thinking skills, with the ability to decompose complex topics, group related elements, and navigate between technical and business perspectives.

• Ability to plan and scope delivery increments, ensuring completeness and alignment with product value expectations.

• Knowing and understanding SDLC (Software Development Life-Cycle);

• Knowledge and experience in project cost management;

• Knowledge and experience in project schedule management;

• Knowledge of quality management and cost of quality principles in the projects;

• Knowledge in the bug management process. Experienced in bug-tracking and task management systems (Redmine, JIRA, and so on);

• B2 (CEFR) or Upper-Intermediate+ level of spoken and written English.

A Required Secondary List of Skills:

• Experience with radio jammers, whether through basic familiarity with the domain or direct project leadership, is considered a plus;

• Understanding HDLC (Hardware Development Life-Cycle);

• Internationally recognized certification in project management;

• Experience as a business analyst;

OR

• Experience as an electronic engineer;

OR

• Experience as a software developer;

OR

• Experience as a quality assurance/control engineer;

• Knowledge of major features of version control systems (check-out, check-in, merging, branching, versions). Experience in version system controls (Git, SVN, SourceSafe, ClearCase, and so on);

Required General Skills:

• Strong leadership skills, practitioner of various leadership styles;

• Is a team member and is committed to the project goals. Ability to establish team collaboration and facilitate communication among team members;

• Strong interpersonal and conflict resolution skills. Ability to help the team to timely resolve disagreements that arise during the project;

• Ability to prioritize tasks, work under stress and uncertainty;

• Open-minded person and positive thinker;

• High level of responsibility and quality sense;

• Passion to solve complex tasks;

• Desire understand the product being developed;

• Desire to learn the new.

About us and what we can offer:

• 24 working days of paid vacation;
• Paid sick leave;
• Comprehensive lunches right in the office;
• Children's room for employees' children;
• Competitive salary;
• Experienced colleagues who are ready to share knowledge;
• Regular salary reviews;
• Free English lessons (we have a wonderful English teacher);
• Friendly atmosphere, care for the comfort of specialists;
• Corporate events;
• Medical insurance;
• The office has a kitchen, shower, and recreation area;
• Very beautiful view from the workplace.

Head of Sportsbook Call Center

Location: Kyiv (Hybrid)

Responsibilities

• Coordinate daily operations of the Sportsbook call center across chat, phone, and email channels — delivering prompt and effective customer support.
• Recruit, train, mentor, and motivate the customer support team.
• Manage work schedules, especially during peak periods (major sporting events).
• Monitor and maintain key performance metrics: SLA, response time, first contact resolution, etc.
• Ensure the support team has in-depth knowledge of betting platforms, markets, and sports disciplines.
• Implement service scripts, customer care standards, and responsible gaming policies.
• Handle complex cases: escalations, technical issues, fraud risks — in partnership with technical support, risk management, payments, and compliance teams.
• Analyze customer requests, identify trends, and optimize processes.
• Collaborate with other departments (marketing, analytics) and prepare and present reports to management.

Requirements

• 3+ years of experience in managing a call center or customer support team, preferably within Sportsbook, iGaming, fintech, or banking.
• Strong leadership, analytical, and communication skills; ability to work under pressure and resolve conflicts effectively.
• Technical proficiency: CRM, VOIP, ticketing systems, WFM tools; understanding of KYC and AML processes.
• Willingness to work flexible hours — evenings, weekends, and holidays during major sporting events.

What We Offer

• Full-time employment; hybrid or in-office format in Kyiv.
• Competitive salary + performance-based bonuses.
• Social benefits (medical insurance, recreation, training programs).
• Career development opportunities in the dynamic iGaming industry.
• Work in a friendly team and take part in exciting projects.

We are looking for a Middle AI/ML Backend Engineer to join a long-term project focused on large-scale video analysis and intelligent metadata extraction. The ideal candidate will have strong Python skills and hands-on experience in Computer Vision and NLP/LLM model integration.

Requirements:

* 4+ years of professional experience with Python
* Hands-on experience in Computer Vision (object detection, OCR, facial recognition)
* Practical experience integrating and optimizing  NLP/LLM models

Will be a plus:

* Experience with video frame analysis, image embeddings, and multimodal AI (vision + text)
* Familiarity with Whisper, OCR pipelines, and multilingual transcription
* Understanding of DevOps practices, high-load system design, and performance optimization
* Knowledge of MongoDB, REST APIs, and microservice architectures
* Experience with AWS, GCP, or on-prem GPU environments

Responsibilities:

* Design and implement backend AI pipelines in Python
* Work on computer vision tasks: object detection, OCR, facial recognition
* Integrate and optimize NLP/LLM models for transcription and content understanding
* Develop scalable backend services for large-scale video processing
* Collaborate with cross-functional teams to deliver end-to-end AI-powered features

Tech Stack:
Python, MongoDB, REST APIs
Computer Vision, OCR, LLMs, Whisper, NLP
Microservices, cloud & on-prem GPU infrastructure

Project:
A cutting-edge platform that processes and analyzes massive volumes of video data by extracting frames and applying advanced AI techniques (computer vision, OCR, facial recognition, LLMs) to derive metadata. This metadata powers automation and decision-making processes, combining backend rule engines with AI-driven pipelines for both cloud and on-prem deployments.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

1 EM, 5 ML Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background:You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience:You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
  • Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.
  • Experienced in natural language processing and modern LLM based techniques.
  • Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques
  • Skilled with SQL and data extraction methods.
• Innovative Thinker:

You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator:

You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge:

Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Про компанію SPD TechnologySPD Technology is a custom software product development and IT consulting company with a world-class team of over 600 experts with extensive expertise in solving big-time technical challenges, efficiently managing large-scale software development efforts, and seamlessly integrating with the client’s business through tailored, long-term partnerships for delivering cutting-edge tech solutions that drive clients' growth.

Our major expertise includes 10 key industries: Fintech, E-commerce, Telecom / IoT, e-Learning, Logistics, Insurance, Biotech, Cybersecurity, Medicine, Wellness. Our top-notch engineering teams deliver Web, Mobile, AI/ML or Enterprise solutions for world-renowned businesses and budding startups. Our key clients are iconic brands such as PitchBook, MorningStar, Roche, and more. Ten of our clients report more than $100 million in annual revenue.

We have 3 development centers in Eastern Europe, and remote teams, working worldwide. With over 17 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries.

Let’s create empowering tech solutions together!

Swarmer makes drones of any kind work together autonomously. We develop AI-powered collaborative autonomy for smart, efficient, and self-improving teaming of connected drones and autonomous systems.

ROLE OVERVIEW:
As an Hardware/Embedded Engineer, you will be responsible for the hardware composition of our products, their connectivity, and the integration of these with our software solutions. Your role will encompass:

• Assessing technical requirements for hardware composition and hardware requirements for our software features.
• Designing and documenting decisions, protocols, and specifications needed for the successful streamlining of the manufacturing process.
• Prototyping required solutions to bridge the gap between hardware and software products in our ecosystem
• Working closely with external HW vendors and providing technical expertise for our integrations with them
• Ensuring the interoperability and final quality of integrated systems.

The ideal candidate possesses strong technical expertise, experience in embedded development, and a deep understanding of drone technologies and communication protocols.

WHAT YOU'LL DO:

• Hardware Design and Development: Design and develop hardware architectures for drone systems, including component selection, layout considerations, and system-level integration planning.
• Embedded Systems Development: Develop and optimize embedded software for companion computers, microcontrollers, flight controllers, and other hardware components, ensuring efficient resource utilization and real-time performance.
• Prototyping and Testing: Build and test hardware prototypes, conduct performance evaluations, and iterate on designs to meet product specifications and reliability standards.
• Manufacturing Support: Collaborate with manufacturing teams to streamline production processes, develop assembly procedures, and ensure quality control throughout the manufacturing lifecycle.
• Vendor Collaboration: Work directly with hardware vendors and suppliers to specify requirements, evaluate components, and oversee the integration of third-party hardware solutions.
• System Integration: Bridge the gap between hardware capabilities and software requirements, ensuring seamless communication between embedded systems and higher-level autonomy software.
• Technical Documentation: Create detailed technical specifications, hardware design documents, and integration guides for internal teams and external partners.
• Quality Assurance: Implement rigorous testing protocols for hardware reliability, environmental durability, and compliance with industry standards and regulations.

WHAT WE ARE LOOKING FOR:

• Embedded Systems Expertise: Extensive experience in embedded development, including microcontroller programming (ARM, ESP32, STM32), real-time operating systems, and low-level hardware interfacing.
• Hardware Design Skills: Proficiency in hardware design principles, circuit analysis, PCB design tools (Altium, KiCad), and component selection for ruggedized applications.
• Drone Technology Knowledge: Deep understanding of UAV hardware ecosystems, including flight controllers (ArduPilot/PX4), sensors (IMUs, GPS, cameras), and communication systems.
• Programming Proficiency: Strong skills in C/C++ for embedded systems, Python for automation and testing
• Communication Protocols and Interfaces: Experience with various communication protocols and hardware interfaces including MAVLink, CAN bus, I2C, SPI, UART, and wireless protocols (WiFi, Bluetooth, LoRa, cellular).
• Manufacturing Experience: Understanding of manufacturing processes, supply chain management, and design for manufacturability (DFM) principles.
• Problem-Solving Excellence: Proven ability to diagnose complex hardware-software integration issues and develop innovative solutions under tight timelines.
• Collaboration Skills: Experience working with cross-functional teams and external vendors, with strong communication skills to translate technical requirements across disciplines.

WE OFFER:

• Work on meaningful products that protect lives and shape the future of Defense Tech.
• Dynamic environment with the unique opportunity to directly influence and see the impact of your work.
• Lean, ambitious, and strong team.
• Competitive salary, benefits package (insurance, paid sick leaves, 20 paid days off per year).
• Benefits of the defense sector (reservation, etc).

HOW'S THE HIRING PROCESS GOING:

✔️Intro Call with TA Specialist → ✔️Technical Interview (2 parts) → ✔️Final interview →  ✔️Security check →✔️Offer

If you’re excited about solving complex challenges and eager to contribute to the future of collaborative autonomy, we’d love to hear from you! 
Ready to Apply?

Client: A large international company in the online sports and entertainment industry, one of the market leaders with many years of experience and millions of active users worldwide. We are constantly growing and implementing cutting-edge technologies to enhance customer engagement and experience.
Key Responsibilities:
Technology Strategy & Execution:
- Define and evolve the long-term technology vision in alignment with business goals.
- Translate strategy into actionable engineering roadmaps.
- Oversee architectural decisions, ensure scalability, security, and technical excellence.
- Promote adoption of modern tools, frameworks, and best practices.

Organizational Leadership:
- Lead, mentor, and inspire a distributed engineering organization through Development Managers and senior technical leaders.
- Foster a high-performance, collaborative, and inclusive engineering culture.
- Ensure clear communication of goals, expectations, and progress across all levels.

Operational Oversight:
- Own execution of the product and engineering roadmap.
- Balance delivery speed, quality, and scalability.
- Set and monitor performance metrics (velocity, reliability, incident response).

Cross-functional Collaboration:
- Work closely with Product, Business, and Design to align technical solutions with market needs.
- Contribute to customer-centric innovation that drives revenue growth and user retention.

Risk, Security & Compliance:
- Ensure robust data protection, platform security, and compliance with relevant regulations.
- Lead crisis and incident management with structured postmortem practices.
- Implement disaster recovery and business continuity plans.

Innovation & R&D:
- Drive continuous improvement and experimentation across engineering.
- Oversee development of proof-of-concept projects to validate new technologies.
- Encourage innovation through internal initiatives (hackathons, tech labs, etc.).

Your Background:
- 10+ years in software engineering with at least 5 years in senior technology leadership.
- Deep expertise in backend development (PHP, Node.js, or Go) and system design.
- Hands-on experience with highload architectures and distributed systems.
- Proven success building scalable cloud-native applications (AWS, Docker, Kubernetes).
- Strong leadership track record with remote, multicultural teams.
- Familiarity with technical and regulatory specifics of the online gambling industry is a strong plus.
 

We are looking for someone to be our Head of Customer Support.

We get a lot of Inquries daily around 140.

As we are fast growing you will later need to be able to train new staff to assist you.

We are dealing with customers globally, so there is a lot to be aware of and its important to not do any mistakes, as we have a high chargeback rate with our customers as we deal globally.

You will handle Email Requests (no chat or calls)

Create SOP for future team members.

Requirements:

Fast writing Skills

Good english (writing)

Efficient execution

Fast learner

Always be on time and professional

We’re a Swiss e-commerce brand focused on high-end watch straps, and we're looking for a dedicated Email Support Specialist to assist our global customers.

You’ll be responsible for:

• Managing all customer interactions via email
• Assisting with order-related issues, returns, and general inquiries
• Providing polite, efficient, and accurate support
• Following internal SOPs and escalating when needed

We are looking for someone who communicates clearly, is comfortable working remotely, and understands how to deliver a luxury-level support experience.

Only email support — no phone or live chat.

Description

Our Client is the Enterprise Worldwide Company. The product you will be working with, provides management and data processing/handling capabilities for networks of the clients scientific lab equipment such as microscopes, etc. The main goals are:

Collection and centralized management of data outputs (measurement results, etc.) provided by clients devices
Outdated data utilization
Managing large volumes of data acquired from measurement devices in the cloud securely and reliably
Seamless sharing of measurement data with collaborators
The ability to share measurement results and accelerate customer service.
 

Requirements

More than 5 years experience as a DevOps
2+ years Enterprice project experience
4+ years AWS experience
2+ years as a Lead.
Hands-on experience in continuous delivery and continuous integration of CI/CD pipelines
Ability to assess the requirement, environment and suggest the right tools/ technologies
Hands-on experience on Kubernetes
Expertise in Debugging and providing solutions and workarounds
Knowledge of different monitoring and logging solutions available on Cloud, preferably on AWS
Excellent communication, presentation, and coding abilities
Managing and making projects version control strategies
Verbal and written English – is a must

Good to have: ability to participate onsite meeting.

Job responsibilities

Be in a DevOps Team as a Senior Member.
Be hands-on with CI/CD, provisioning of staging and production environments
Engineer the installation, configuration and tuning of cloud infrastructure components / kuber / etc
Unified CICD pipeline development
Work directly with other teams to build fine-tuned product deployments
Environments maintenance/patching/provisioning
Support internal teams requests
Environments troubleshooting

We are looking for a Data Engineer (NLP-Focused) to build and optimize the data pipelines that fuel our Ukrainian LLM and Kyivstar’s NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling our data scientists and ML engineers to develop cutting-edge language models. You will work at the intersection of data engineering and machine learning, ensuring that our datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context. This is a unique opportunity to shape the data foundation of a pioneering AI project in Ukraine, working alongside NLP experts and leveraging modern big data technologies.

What you will do

• Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information. Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
• Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to our language modeling efforts.
• Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
• Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
• Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
• Automate data processing workflows and ensure their scalability and reliability. Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
• Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs. Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
• Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models. Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
• Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
• Manage data security, access, and compliance. Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

Qualifications and experience needed

• Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
• NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given our project’s focus. Understanding of FineWeb2 or a similar processing pipeline approach.
• Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
• Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
• Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as our NLP applications may require embedding storage and fast similarity search.
• Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
• Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
• Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

A plus would be

• Advanced Tools & Frameworks: Experience with distributed data processing frameworks (such as Apache Spark or Databricks) for large-scale data transformation, and with message streaming systems (Kafka, Pub/Sub) for real-time data pipelines. Familiarity with data serialization formats (JSON, Parquet) and handling of large text corpora.
• Web Scraping Expertise: Deep experience in web scraping, using tools like Scrapy, Selenium, or Beautiful Soup, and handling anti-scraping challenges (rotating proxies, rate limiting). Ability to parse and clean raw text data from HTML, PDFs, or scanned documents.
• CI/CD & DevOps: Knowledge of setting up CI/CD pipelines for data engineering (using GitHub Actions, Jenkins, or GitLab CI) to test and deploy changes to data workflows. Experience with containerization (Docker) to package data jobs and with Kubernetes for scaling them is a plus.
• Big Data & Analytics: Experience with analytics platforms and BI tools (e.g., Tableau, Looker) used to examine the data prepared by the pipelines. Understanding of how to create and manage data warehouses or data marts for analytical consumption.
• Problem-Solving: Demonstrated ability to work independently in solving complex data engineering problems, optimising existing pipelines, and implementing new ones under time constraints. A proactive attitude to explore new data tools or techniques that could improve our workflows.

What we offer

• Office or remote – it’s up to you. You can work from anywhere, and we will arrange your workplace.
• Remote onboarding.
• Performance bonuses.
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners.   
• Health and life insurance.  
• Wellbeing program and corporate psychologist.  
• Reimbursement of expenses for Kyivstar mobile communication.  

Description

As part of the ongoing effort to modernize the embedded software in advanced scientific equipment, this sub-project focuses on improving the software and firmware update process for factory-configured devices.
Currently, updates are applied manually in a sequential manner, which limits scalability and increases operational effort. This initiative aims to design and implement a (semi-)automated update mechanism capable of performing parallel deployments across multiple units, significantly reducing installation time and improving consistency.
Key goals include minimizing manual intervention, ensuring reliable version control and compatibility checks, and enabling efficient, scalable rollouts within production environments. The resulting system will enhance maintainability and operational efficiency for high-value devices in complex manufacturing workflows.
 

Requirements

More than 3 years experience as a DevOps

1+ years of Enterprise project experience
2+ years AWS experience
1+ years as a Lead.
Hands-on experience in continuous delivery and continuous integration of CI/CD pipelines
Ability to assess the requirement, and environment and suggest the right tools/ technologies
Hands-on experience on Kubernetes
Expertise in Debugging and providing solutions and workarounds
Knowledge of different monitoring and logging solutions available on Cloud, preferably on AWS
Excellent communication, presentation, and coding abilities
Managing and making project version control strategies
Verbal and written English – is a must

Good to have: the ability to participate in onsite meetings.

Job responsibilities

Prepare DevOps stratagy for the starting project
Be hands-on with CI/CD, provisioning of staging and production environments
Engineer the installation, configuration and tuning of cloud infrastructure components / kuber / etc
Unified CICD pipeline development
Work directly with other teams to build fine-tuned product deployments
Environments maintenance/patching/provisioning
Support internal teams requests
Environments troubleshooting

We are TheWhyKingz, an IT company committed to growth and innovation. We are expanding our team and are currently looking for a skilled and motivated Affiliate manager to lead growth in the BO/Finance field.

If you’re passionate about partnerships, data, and communication — and want to work in a respectful, supportive environment — this opportunity could be a perfect fit.

✅ What We’re Looking For
- 1+ years of experience in affiliate marketing, preferably within the Binary Options or Crypto industries;
- Native Japanese speaker with strong command of English;
- Proven negotiation skills and a deep understanding of Japanese user behavior and market dynamics;
- Solid knowledge of affiliate tracking platforms and various commission models (CPA, RevShare, hybrid);
- Hands-on experience managing CPA and RevShare deals;
- Proficient in Google Sheets for reporting and performance analysis.

🌟 What You’ll Do
- Creating your own affiliate data base, launching new deals;
- Native Japanese Speaker;
- Understanding of CPA, RevShare, and hybrid commission models;
- Proficient in Google Sheets (pivot tables, formulas);
- Ability to prepare and interpret affiliate performance reports for internal and external use;
- Provide research on the market, competitors.

🎯 Nice to Have
- Familiarity with crypto payment systems, wallets;
- Existing network of Japanese affiliates, influencers;
- Experience working with verticals: gaming, crypto, finance;
- Knowledge of SEO or basic performance marketing concepts;
- Ability to create or review Japanese promotional copy or scripts;
- Understanding of regulatory trends in Japan related to financial products.

🌟 Soft Skills

- Effective time management and prioritization;
- Strong interpersonal and relationship-building skills;
- Adaptability.

💼 What We Offer
- Remote work;
- Flexible and respectful work culture — no micromanagement;

- Stable salary payment;
- 100% paid sick days and 20 days of vacation.

📧 Hiring process:

- HR interview;
- Test Task;

- Technical interview.

If you're someone who values clear communication, long-term relationships, and continuous improvement, we’d love to hear from you.

Apply now, and let’s grow the Japanese market together!

Numerical Technologies LTD is a leading provider of custom software solutions and services specializing in risk, limits, and regulatory capital. Right now, we are looking for a Python Developer to join our team.

What will you be doing?

As part of the team, you will be participating in a project with a large US bank. You will be helping us develop new software features and support and maintain the existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will be working closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust software that aligns with the client’s business needs.

What are we looking for:

• A strong programming background with Python and OOP skills.
• Proficiency with SQL (Postgres, SQLite) and NoSQL (MongoDB) databases.
• Deep understanding of algorithms and data structures.
• Experience with FastAPI and Linux environments.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.

• Familiarity with LangChain is a plus.

   

What we offer:

• Competitive compensation depending on experience and skills.
• Regular assessments and salary reviews.
• Paid personal days.
• Health insurance.
• Mental health support program.
• Partial gym compensation.
• English/Polish/Spanish language classes.
• Flexible working schedule.

S-PRO, a top-tier Digital Innovation and Software Engineering company. We specialise in providing cutting-edge services for fast-growing businesses and enterprises, with a strong focus on Finance, Renewable Energy and Healthcare domains and expertise in AI, Blockchain and Data Science. Our team of over 200 dedicated professionals works tirelessly across our global offices to develop innovative digital solutions that drive sustainable business value and increase our client’s competitiveness in a dynamic digital landscape.

We are looking for a Data Entry Specialist to join our team and contribute to a telemedicine platform that connects pediatricians with families through online consultations.

Project: The platform provides insured medical services, allowing parents to schedule appointments, receive therapist consultations via Zoom, and obtain prescriptions and treatment plans. The system integrates scheduling features, video conferencing, and secure data management to ensure seamless interactions between therapists, parents, and children.

Role Overview: In this role, you will be responsible for accurately entering and managing data related to our clients and services, contributing to the overall efficiency of our operations. This position is vital in supporting our therapists as they provide high-quality care in clients’ home settings.

Responsibilities:
• Accurately enter client information and therapy data into our systems.
• Organize and maintain electronic files to ensure easy access to information.
• Transcribe documents and reports as needed to support therapy staff.
• Utilize office software, including pivot tables, to effectively manage data.
• Collaborate with the development team to streamline data processes and improve efficiency.
• Work on creating a knowledge base and employee questionnaires to conduct monthly training for the non-technical administrative teams.

Requirements:
• Proven experience in administrative roles.
• Strong organizational skills with attention to detail.
• Proficiency in office software applications, including Microsoft Office Suite.
• Basic math skills for handling numerical data accurately.
• Ability to work independently and manage multiple tasks effectively.
• Work schedule: Monday-Friday 8am — 4pm PST (18:00-2:00 Kyiv Zone)

Benefits and perks:

• Flexible schedule.
• Remote work model.
• Medical insurance.
• Paid vacations.
• Paid Sick-leaves.
• Paid State holidays.