Jobs at Djinni

We are looking for a proactive Retention Manager to take ownership of our user lifecycle strategy. If you know how to turn a "new user" into a "loyal player" using data, smart segmentation, and AI — we want to meet you.

📍 The Role: You will take ownership of the player lifecycle, ensuring our users stay engaged, active, and loyal.

• Campaigns: Create and execute multi-channel campaigns (Email, SMS, In-App, Web Push).
• Journey Building: Design automated workflows covering Onboarding, Activation, and Reactivation stages.
• Segmentation: Utilize RFM analysis and behavioral data to target the right players with the right message.
• Optimization: Run A/B tests to boost Open Rates, CTR, and Conversion.
• Innovation: Actively use AI tools to generate content, build logic, and streamline workflows.

🛠 Tech Stack: Experience with Customer.io, Smartico, Fasttrack, or Optimove is a strong advantage.

👤 About You:

• Experience: 1.5–3 years in CRM / Retention Marketing.
• Industry: Experience in iGaming or digital products is highly preferred.
• Skills: Strong grasp of lifecycle marketing, segmentation, and copywriting.
• Mindset: Analytical approach to data and a creative approach to problem-solving.
• Tech-savvy: You are comfortable using AI for automation and content generation.

⭐️ We Offer:

• Format: Remote work, 5/2 schedule.
• Payments in USDT (white crypto);
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.

About the role
 We are looking for a Junior CRM / Retention Tester to help test bonus campaigns, email campaigns, push notifications, and content within an iGaming product.
This is a testing-focused role where you will ensure that marketing and bonus mechanics work correctly before launch and after release for users.

Key responsibilities

Testing bonus and promotional campaigns before launch
Checking email campaigns, push notifications, and onsite content
Verifying correctness of display and logic of promotional materials
Logging bugs and issues in the system
Re-testing fixed tasks (re-test)
Post-release testing
Checking responsiveness (desktop / mobile)
Maintaining simple test documentation
Ensuring compliance with regulatory communication requirements
What we are looking for

A detail-oriented person with strong attention to detail
Someone who can identify bugs and logical inconsistencies
Basic understanding of CRM / marketing campaigns is a plus
English level: reading and understanding documentation
Ability to clearly describe bugs and findings
Willingness to grow in CRM / Retention / QA fields
Nice to have

Experience in testing (QA, manual testing)
Understanding of email marketing or CRM logic
Experience with bonuses, promotions, or iGaming products
⭐️ We Offer:

• Format: Remote work, 5/2 schedule.
• Payments in USDT (white crypto);
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.

About the Role: We are looking for a proactive Email Marketing Specialist to help us build effective user communications and boost retention rates. If you know how behavioral segmentation works, know how to set up complex trigger flows, and most importantly, have solid practical experience with Customer.io — we want to see you on our team!

Responsibilities:

• Campaign Launch: Create, set up, and launch automated flows (trigger-based / lifecycle emails) and regular promotional campaigns.
• Segmentation & Retention: Develop lifecycle communication strategies based on user behavioral segmentation to improve retention metrics.
• Customer.io Management: Take full ownership of the technical setup of campaigns, logic, and triggers directly within the platform.
• Deliverability Control: Monitor email deliverability metrics, maintain sender reputation, and participate in domain warm-up processes.
• Analytics & Optimization: Analyze campaign performance (Open Rate, CTR, Conversion Rate), conduct A/B tests, and provide actionable insights to improve metrics.

Requirements:

• Experience: 1–2 years in a similar role as an Email Marketing Manager or CRM Specialist.
• Tools: Practical, hands-on experience with Customer.io is a strict requirement (must-have).
• Expertise: Deep understanding of email marketing, retention strategies, and lifecycle communications.
• Deliverability: Basic understanding of the technical side of email marketing (SPF, DKIM, DMARC, sender reputation, warm-up).
• Soft Skills: Analytical mindset, strong attention to detail, highly structured, and responsible.
• Language: English level — Intermediate+ (required for working with content and internal communications).

⭐️ Nice to have (A big plus):

• Previous experience in the iGaming / Casino / Betting / Sweepstakes industry or other gambling-related products.

We Offer:

• Flexibility: Remote work format with a flexible schedule, 5/2 schedule.
• Compensation: Competitive salary based on your experience + performance bonuses.
• Benefits: Paid vacation and sick leave, opportunities for professional development and continuous learning.
• Payments in USDT (white crypto);
• Growth: Opportunity for growth within the project.

About us:

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

We are looking for an engineer who can build, configure, and optimize automations, including AI agents powered by modern LLM technologies.

Your impact:

• Improve and expand automation processes.
• Develop logic and prompts for multi‑step AI agents.
• Integrate agents with databases and APIs.
• Test, debug, and optimize agent performance.
• Maintain documentation and monitor agent efficiency.
• Strengthen AI expertise within the company and evolve solutions based on business needs.
• Identify new opportunities for applying AI solutions across the organization.
• Contribute to the development of AI‑related processes and infrastructure.

About you:

• 2+ years of experience with automation and AI tools.
• Understanding of LLM principles, prompt engineering, and OpenAI APIs.
• Strong proficiency in Python and SQL.
• Experience building production‑ready AI agents.
• Experience with LangChain / LlamaIndex / GPTs approach is a plus.
• Ability to quickly build MVP solutions.

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

Find more about us on social media platforms: Instagram, LinkedIn.

We are looking for an experienced, highly technical Director of Engineering (AI Platform) to lead and evolve our core production platform — a mission-critical, AI-powered system at the heart of our customer delivery across multiple business lines.

In this role, you will take end-to-end ownership of a large-scale, enterprise-grade platform delivering real-time and offline transcription and captioning services to global customers. You will lead a high-performing engineering team, drive system reliability, scalability, and efficiency, and continuously enhance the platform through smart, incremental innovation.

This is a hands-on leadership role focused on operating and improving a complex cloud-based (AWS) system powered by advanced AI models, with a strong emphasis on engineering excellence, operational rigor, and customer impact.

In this role, you will:

• Lead and manage the core platform engineering teams, providing clear direction, prioritization, and hands-on guidance to ensure reliable and high-quality delivery.
• Own the stability, scalability, and performance of a mission-critical production system, serving as the backbone of the company’s customer delivery.
• Working with a complex system of services featuring event-driven asynchronous communication, multiple customer-facing APIs, and infrastructure as code. The codebase is primarily written in Python, Ruby, and React
• Drive continuous improvement of the platform, focusing on reliability, efficiency, and incremental feature development aligned with business needs.
• Drive backlog management and execution planning, ensuring clear prioritization, predictable delivery, and alignment with business goals.
• Collaborate closely with Product and cross-functional stakeholders to shape priorities, balance roadmap commitments, and ensure consistent execution.
• Establish strong engineering practices and operational rigor, including monitoring, incident management, and quality standards across the system.
• Leverage modern AI development tools to accelerate engineering velocity, enabling teams to deliver faster while maintaining high standards of quality and maintainability.
• Build strong working relationships with key stakeholders, serving as a trusted advisor and go-to partner for solving complex challenges and driving informed decisions.
• Define and track key metrics (e.g., system reliability, delivery cycle time, efficiency), and use them to drive continuous improvement.
• Lead hiring, onboarding, and development of top engineering talent, building a high-performing team with strong ownership and execution mindset.

In order to be great at this job, you’ll need:

• Bachelor's or master's degree in computer science, Engineering, or a related field
•  At least 8 years of experience leading R&D teams and experienced in managing managers (team leads)
• Strong technical background and hands-on experience, expertise in AWS and Python/React
• Proven track record of leading the development of successful AI-powered products
• Experience in building SaaS, enterprise grade, distributed infrastructure systems
• Significant experience with DevOps, CI/CD, and software delivery processes
• Experience with LLM and generative AI applications – an advantage
• Excellent leadership, mentorship, and communication skills
• Strong problem-solving skills and ability to navigate complex technical challenges
• Ability to manage a broad attention span, maintaining context and driving progress across multiple parallel projects simultaneously

What makes Verbit unique? Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows. Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more. With more than 3,000 global customers relying on Verbit- including top law firms, universities, enterprises and media organizations- we’re building the future of how speech data is processed, understood and used.

We’re a group of:

• Tech-savvy individuals who are always open to more growth and learning opportunities
• Adaptable and flexible people who thrive in a fast-paced, startup environment
• Creative minds who rethink and question how to outperform past results
• Effective communicators who can promote and represent Verbit’s tech and bran

QIT Software is looking for an Oracle Fusion Architect position for a leading retail client in Los Angeles, CA on W2.
Looking for a dynamic leader to shape the future of finance and supply chain systems. We're on the lookout for an experienced Oracle Fusion/ERP Architect who can drive innovative solutions, orchestrate complex integrations, and elevate our enterprise architecture. If you thrive on tackling challenging projects, evaluating cutting-edge SaaS technologies, and collaborating across teams to deliver seamless business processes, this is your chance to make a significant impact. Join us and be at the forefront of digital transformation in a fast-paced retail environment.

Requirements:

• Extensive experience and in-depth knowledge of the functionality of ERP Finance and Supply Chain (Direct purchasing & Inventory).
• Hands-on experience with ERP systems such as SAP S/4HANA, Oracle Fusion/EBS required.
  Experience in Planning, VMLP Merchandising systems, PLM Product Lifecycle Management, and Tech Design systems is preferred.
• Knowledge and experience are preferred in managing platforms such as Anaplan, Invent Analytics, Vibe IQ, Flex PLM, Centri, etc.
• Knowledge of system and process best practices required.
• Strong business experience coupled with high energy, drive, and motivation to succeed.
• Experience working with vendors, negotiating work, and ensuring quality.
• Excellent verbal and written communication skills with the ability to sell concepts and ideas to a wide range of audiences; effectively communicate complex concepts to all levels of the organization and the project team.
• Excellent analytical and problem-solving skills.
• Energetic and self-motivated, willingness to learn, and openness to change are important.
• Proven experience in full life cycle implementations of ERP. Consulting experience is a plus.
• 10+ years of experience in ERP, Merch, and Planning systems with increasing functional and technical responsibilities.
• Experience in a retail environment is required.
• Enjoys working in a fast-paced environment.
  
  Responsibilities:
• Responsible for systems architecture on ERP systems – Finance and Supply Chain (Direct purchasing), and dependencies with systems in the areas of PLM, merchandising, planning, digital, POS, etc.
• Extensive experience with new tools evaluation and selection. Market research and use of research and advisory tools. Evaluate new SaaS technologies
• Collaborate with vendors and cross-functional teams to manage RFPs, RFQs, and RFIs.
• Analyze functional business processes and requirements, and map them to technical best practices. Develop and enhance systems based on requirements defined.
• Technical expertise of ERP Cloud and on-prem technology stack and architecture.
• Complete knowledge of cross-functional systems and proactively identify integration dependencies.
• Own the processes of discovery, architecture, and solution design.
• Work with cross-functional teams (business, development, QE, and support teams) to understand the technical and functional impact, and come up with the architecture and design of the systems.
• Understanding advanced, integrated business processes; identifying and recognizing global integration consequences.
• Participate in project management activities often spanning multiple application areas, including estimating and developing LOEs.
• Stay current with the latest trends in technology as they relate to operational business areas.
• Demonstrate our values of Passion for customer service, innovation, expertise, balance, respect for all, teamwork, and initiative.
  
  Details:
• Schedule: Full-time, 5 days onsite with some flexibility
• Office: Los Angeles, CA
• Duration: long-term
  
  Hiring process:
  1 - Pre-screen (up to 30 mins), 
  2 - Interview with the client, 
  3- Interview with the end customer

About Us

At Structurata, we deliver premier workforce data encompassing people, contacts, organizations, jobs, and intent signals. Renowned for providing the most up-to-date and accurate lead generation data on the market, our solutions empower cutting-edge recruiting and sales platforms, AI-driven models, custom audience creation, and much more. With seamless delivery through APIs, and data feeds, Structurata ensures our customers access the data they need, when and how they need it. We are a Ukrainian based company and a Ukrainian based team.

As a Scraper Engineer, you will:

• Monitoring Duties
  • Review monitoring reports to ensure crawler health and data quality
  • Analyze logs to identify unexpected events, proxy issues, and schema changes. 
• Implement New Crawler Services
  • Build and deploy crawler services for new public data sources we are wishing to crawl
  • Develop work email enrichment capabilities to enhance data coverage
• Handle Crawler Outages of P1 Services
  • Investigate and resolve LinkedIn crawler issues, including proposing solutions when APIs are deprecated
  • Respond to monitoring alerts and investigate issues (e.g., significant decreases in profiles crawled)
  • Troubleshoot and restore critical data pipelines with urgency

Required Skills & Experience

• 3+ years of experience in Python development with a strong understanding of good code design principles
• Solid proficiency in PostgreSQL (PSQL), including query optimization and database design
• Experience with Celery for distributed task queue management
• Proven experience building ETL applications that can scale with billions of events
• Experience with web scraping technologies, proxy management, and handling anti-bot measures
• Strong debugging skills and ability to analyze logs and monitoring systems
• Excellent problem-solving skills and ability to work independently or collaboratively

Preferred Skills

• Experience with Flower for Celery monitoring
• Familiarity with LinkedIn APIs and other professional data sources
• Knowledge of firewall configuration and IP tables management
• Experience with Docker and containerized deployments

RESPONSIBILITIES:

• Execute and manage media campaigns within clients’ parameters, create and maintain buysheets
• Assist in media planning to meet campaign goals and negotiate with media vendors
• Analyze and optimize media campaigns to ensure KPI delivery
• Campaign Liaison to media vendor representatives
• Responsible for sending insertion orders and revisions and responding to vendors’ needs in a timely manner
• Contact media vendors for performance and pacing reports, monitor campaign pacing using 1st and 3rd party data
• Handle creative traffic requests to appropriate internal teams for display, paid social, and paid search
• Billing and reconciliation support

QUALIFICATIONS & SKILLS:

• Bachelor’s degree marketing, business, preferred not required
• Preferred: 1-year digital media planning/buying experience, creating and maintaining media plans and vendor IOs
• Preferred: Ad server knowledge, DoubleClick Campaign Manager preferred, knowledge of creative trafficking process
• High level of efficiency and accuracy
• Strong communication skills, analytic skills, problem solving and trouble shooting skills
• Excellent Microsoft Office skills
• Ability to professionally communicate with, present to, interact with clients
• Ability to multi-task, work successfully with teams, and work under pressure
• Strong attention to detail and time management
• Demonstrates initiative and drives to completion of projects
• Readiness to work from 15:00 till 23:00 in order to have an optimal overlap of work hours with USA based teams.

What we offer:

• Medical insurance after the trial period ending;

• Team-building activities;

• 24 paid vacation days per year;

• 5 paid sick leave days per year.

MISSION
Own and execute the product roadmap for a DTC e-commerce brand
on the US market. Translate business goals into executed features,
optimized funnels, and measurable growth. Act as the execution bridge
between the founder, development, design, and marketing teams.

KEY RESPONSIBILITIES

Product & Website Ownership
• Own the Shopify roadmap including themes, PDPs, checkout,
upsells, and CRO elements.
• Translate business goals into clear product requirements and
specifications.
• Prioritize features based on impact, speed, and ROI.
• Manage backlog, releases, and ongoing improvements.

Funnel & Conversion Optimization
• Optimize product pages (PDPs), checkout, post-purchase flows,
upsells, downsells, and landing pages.
• Run A/B tests across layouts, copy, bundles, and offers.
• Align product experience with traffic sources in collaboration with
marketing and creative teams.

Cross-Functional Execution
• Coordinate Shopify developers, designers, creative strategists,
email/retention marketers, and SEO & paid media teams.
• Ensure clarity, accountability, and on-time delivery across all
initiatives.

Analytics & Decision-Making
• Track key metrics including conversion rate, AOV, funnel drop-offs,
and feature performance.
• Work with GA4, Shopify Analytics, Hotjar / Clarity (or similar tools).

Founder Support & Scaling
• Act as the founder’s right hand in product and execution.
• Proactively propose improvements and new initiatives.
• Prepare the product for scale: new SKUs, bundles, subscriptions,
and international expansion.

EXPERIENCE

• 3–7 years of experience as a Product Manager, Product Owner, or
E-commerce PM.
• Strong background in Shopify and DTC e-commerce.
• Experience working with designers, developers, and marketing
teams.
• Hands-on exposure to CRO, paid traffic, and SEO-driven
products.
• Strong written English — B2 or higher.

TRAITS

• Strong ownership mindset — proactive and execution-focused.
• Highly organized and data-driven.
• Clear, direct communicator.
• Able to move fast without sacrificing quality.

REQUIRED TOOLS & SKILLS

• Shopify platform expertise.
• Product documentation, specs, and backlog management.
• GA4 and analytics literacy.
• CRO-focused thinking.
• Tools such as Jira, ClickUp, or Notion.
• Figma for collaboration (not design).

WHAT WE OFFER

• Fully remote work environment.
• Competitive compensation based on experience and great
potential for growth.
• Opportunity to build and scale a high-impact DTC product on the
US market.

About us:

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

Your impact:

• Primarily work with Marketing team and help to make correct data-informed decisions;
• Automate the management and monitoring of marketing platforms (e.g., campaign status tracking, performance monitoring, budget control, anomaly detection);
• Build scripts and tools to interact with ad platform APIs, streamline routine tasks;
• Create AI-assisted workflows using LLM APIs;
• Develop and support dashboards and reports that provide transparency into campaign performance and business KPIs;
• Contribute to our internal BetterBI system, consolidating marketing, financial, and product data.
• Help design a scalable and maintainable analytics infrastructure and improve internal data workflows.

About you:

• 2+ years of experience as a Data Analyst in a product-oriented company;
• Analytical mindset; ability to structure information and dive deeper when it is needed;
• Full proficiency in SQL and Excel;
• Hands-on experience with BI tools and data visualization (e.g., Tableau);
• Confident Python skills for data manipulation and scripting;
• Strong English written/verbal communication skills.
• Practical experience using ChatGPT, Gemini, or other LLM APIs, with a good grasp of prompt engineering to solve business tasks

Will be a plus:

• Experience working with product analytics platforms (Amplitude, Firebase, AppsFlyer, etc.);
• Understanding of A/B testing methodologies and experimentation frameworks;
• Experience working with digital marketing platforms (e.g., Meta Ads, Google Ads, TikTok Ads) via APIs.

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

Find more about us on social media platforms: Instagram, LinkedIn.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed to handle complex, high-stakes environments.

We are currently expanding and looking for a strong Data Engineer to help us design and build scalable pipelines for processing large volumes of both structured and unstructured data. These pipelines power comprehensive, interactive knowledge bases used in real-world operations. 

In this role, you will work closely with the core data processing workflows and collaborate daily with software engineers, AI/ML engineers, DevOps specialists, and the QA team. Because much of the work happens across different parts of the system, strong communication and the ability to collaborate effectively with other teams are essential.

What You Will Do

- Design and build ETL/ELT pipelines for large volumes of unstructured data using orchestrators such as Temporal, Prefect, Celery, or Airflow, along with distributed processing engines like Ray and Spark.
- Automate AI-related tasks including text extraction, summarization, OCR, named entity recognition, and embedding generation using various self-hosted models, including some developed in-house.
- Design data schemas and manage storage across multiple systems, including relational databases (PostgreSQL), NoSQL databases (Elasticsearch, Mongodb), vector search engines (Qdrant, Milvus), and graph databases (Neo4j).
- Set up and maintain messaging queues for distributed data processing using tools such as Kafka, RabbitMQ.
- Develop custom Python tools and logic to ensure high throughput, reliability, and fault tolerance in data pipelines.
- Containerize services with Docker and orchestrate deployments using Kubernetes, including on-premise environments.
- Build and maintain CI/CD pipelines to support reliable development and deployment workflows.
- Monitor infrastructure and pipeline health using Prometheus and Grafana, and manage centralized logging with the ELK Stack.

What You Need to Join Us

- Strong hands-on experience with SELF-HOSTED data engineering tools.
- Solid Python skills and the ability to build reliable, production-grade data workflows.
- Experience automating workflows that involve different AI models, including self-hosted ones.
- Good understanding of how modern search and RAG systems are designed and operate.
- Familiarity with messaging systems such as Apache Kafka, RabbitMQ.
- Strong understanding of relational databases (PostgreSQL) as well as other data systems such as Elasticsearch, Qdrant/Milvus, and Neo4j.
- Practical experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions or GitLab CI).
- Familiarity with monitoring and observability tools such as Prometheus, Grafana, and the ELK Stack.
- Experience working with on-premise infrastructure environments.

Why Join Us

- Make a Real Impact: Our systems have already been validated in real-world, nation-state level operations.
- Right Place, Right Time: Work at the intersection of AI, large-scale data processing, and cybersecurity.
- Military Deferment: Available for full-time employees.
- Flexible Schedule: Remote-friendly environment focused on results rather than rigid hours.

–––––––––––––––––––––––––––––––Рідною–––––––––––––––––––––––––––––––

Cyber Harbor - українська компанія, заснована інженерами та дослідниками, які брали участь у захисті критичної кіберінфраструктури під час війни. Ми спираємося на реальний практичний досвід і створюємо AI-powered системи для складних середовищ, де помилка може мати високу ціну.

Зараз ми розширюємо команду та шукаємо сильного Data Engineer, який допоможе нам проєктувати й розвивати масштабовані пайплайни для обробки великих обсягів структурованих і неструктурованих даних. Саме ці пайплайни є основою комплексних інтерактивних баз знань, що використовуються в реальних операційних процесах.

У цій ролі ви працюватимете з ключовими процесами обробки даних та щодня взаємодіятимете з software engineers, AI/ML engineers, DevOps specialists і QA командою. Значна частина задач лежить на стику кількох компонентів системи, тому для нас важливі сильні комунікаційні навички та вміння ефективно працювати з різними командами.

Що ви будете робити

• Проєктувати та розробляти ETL/ELT-пайплайни для обробки великих обсягів неструктурованих даних із використанням інструментів оркестрації, таких як Temporal, Prefect, Celery або Airflow, а також систем розподіленої обробки, зокрема Ray і Spark.
• Автоматизувати AI-related задачі, зокрема text extraction, summarization, OCR, named entity recognition та генерацію embeddings, використовуючи різні self-hosted моделі, у тому числі частково розроблені in-house.
• Проєктувати схеми даних і будувати логіку зберігання в кількох системах одночасно: реляційних базах даних (PostgreSQL), NoSQL-рішеннях (Elasticsearch, MongoDB), векторних пошукових системах (Qdrant, Milvus) і графових базах даних (Neo4j).
• Налаштовувати та підтримувати черги повідомлень для розподіленої обробки даних за допомогою таких інструментів, як Kafka та RabbitMQ.
• Розробляти кастомні Python-інструменти й внутрішню логіку, що забезпечують високу пропускну здатність, надійність і відмовостійкість data pipelines.
• Контейнеризувати сервіси за допомогою Docker та керувати розгортанням через Kubernetes, зокрема в on-premise середовищах.
• Будувати й підтримувати CI/CD pipelines для стабільних і передбачуваних процесів розробки та деплою.
• Відстежувати стан інфраструктури та пайплайнів за допомогою Prometheus і Grafana, а також підтримувати централізоване логування через ELK Stack.
   

Що нам важливо

• Сильний практичний досвід роботи з self-hosted інструментами для data engineering.
• Впевнене володіння Python і вміння будувати надійні data workflows production-рівня.
• Досвід автоматизації процесів, що включають роботу з різними AI-моделями, зокрема self-hosted.
• Розуміння принципів побудови та роботи сучасних search і RAG systems.
• Практичний досвід роботи з системами обміну повідомленнями, зокрема Apache Kafka та RabbitMQ.
• Сильне розуміння реляційних баз даних (PostgreSQL), а також інших систем зберігання й пошуку даних, зокрема Elasticsearch, Qdrant/Milvus і Neo4j.
• Практичний досвід роботи з Docker, Kubernetes і CI/CD-інструментами (GitHub Actions або GitLab CI).
• Знайомство з інструментами моніторингу та observability, такими як Prometheus, Grafana й ELK Stack.
• Досвід роботи з on-premise інфраструктурою.

Чому варто приєднатися

• Реальний вплив - наші системи вже використовуються в реальних операційних умовах.
• Сильний технічний контекст - ви працюватимете на перетині AI, обробки великих даних і кібербезпеки.
• Бронювання - доступне для full-time працівників.
• Гнучкий формат роботи - remote-friendly середовище з фокусом на результат, а не на формальний графік.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed for complex, high-stakes environments.

We are currently looking for a Cybersecurity Engineer who will help us design, implement, and maintain the security foundations of our data processing platforms and the infrastructure around them. This role combines practical security engineering with hands-on research and testing. You will help define internal security standards, protect critical infrastructure, and proactively identify weaknesses in our systems before they can be exploited.

We build complex AI systems that operate on large datasets in sensitive environments. Because of that, security is not just a compliance requirement for us - it is a core engineering discipline.

What You Will Do

• Design and implement cybersecurity policies and internal security standards.
• Help maintain visibility and control over company devices, servers, and infrastructure assets.
• Build and improve systems that help prevent data leaks and unauthorized access.
• Perform internal security assessments of our products, infrastructure, and services.
• Conduct regular internal penetration testing and security audits.
• Use tools such as Nmap, Nuclei, Metasploit, and other scanning frameworks to identify vulnerabilities.
• Investigate potential attack surfaces across APIs, web applications, internal services, and infrastructure.
• Work closely with engineering teams to identify and address security issues early in the development process.
• Help implement monitoring, logging, and detection mechanisms for suspicious activity.
• Document findings, propose mitigation strategies, and support teams in implementing fixes.

What You Need to Join Us

• Strong practical understanding of cybersecurity principles and modern attack vectors.
• Hands-on experience with security testing tools such as Nmap, Nuclei, Metasploit, or similar frameworks.
• Strong understanding of network security, web application security, and infrastructure security.
• Experience conducting penetration tests or security research.
• Familiarity with Linux systems and common server environments.
• Ability to analyze systems and identify weaknesses in architecture or implementation.
• Curiosity, persistence, and a strong desire to understand how systems fail.
• Ability to configure and maintain system-level firewalls (for example, iptables, nftables, or ufw) and enforce network-level access policies.
• Experience configuring and operating Web Application Firewalls (WAFs) such as Cloudflare WAF, ModSecurity, or similar solutions to protect APIs and web services.
• Strong practical understanding of how the Internet works, including DNS, TLS, HTTP, and common attack vectors affecting networked systems.
• Solid knowledge of networking fundamentals, including TCP/IP, routing, NAT, VLANs, and the OSI model.
• Ability to analyze traffic flows, understand how packets move through networks, and diagnose connectivity or security issues across different layers of the network stack.

Relevant certifications such as OSCP, CEH, Security+, or similar are welcome, but real-world experience and demonstrated skills matter more.

Who We Are Looking For

Not looking for someone whose experience is centered primarily on managing large security teams or producing compliance documentation.

Instead, we are looking for highly motivated engineers and curious security-minded builders who enjoy exploring systems, testing assumptions, finding weaknesses in creative ways, and building stronger defenses as a result. Unusual backgrounds, unconventional experience, and self-driven experimentation can be a better fit for this role than a traditional career path.

Why Join Us

• Work on real-world systems operating in high-stakes environments.
• Help secure AI platforms and data infrastructure used in complex operational scenarios.
• Military deferment is available for full-time employees.
• Flexible work format in a results-driven environment.

–––––––––––––––––––––––––––––––Рідною–––––––––––––––––––––––––––––––

Cyber Harbor - українська компанія, заснована інженерами та дослідниками, які брали участь у захисті критичної кіберінфраструктури під час війни. Ми спираємося на реальний практичний досвід і створюємо AI-powered системи для складних середовищ, де помилка може мати високу ціну.

Зараз ми шукаємо Cybersecurity Engineer, який допоможе нам будувати, впроваджувати та підтримувати базові елементи безпеки наших платформ для обробки даних і пов’язаної з ними інфраструктури. Ця роль поєднує практичну security engineering роботу з hands-on дослідженням і тестуванням. Ви допомагатимете формувати внутрішні стандарти безпеки, захищати критичну інфраструктуру та проактивно виявляти слабкі місця в наших системах до того, як ними зможуть скористатися.

Ми створюємо складні AI systems, що працюють із великими обсягами даних у чутливих середовищах. Саме тому для нас безпека - це не просто вимога комплаєнсу, а повноцінна інженерна дисципліна.

Що ви будете робити

• Проєктувати та впроваджувати політики кібербезпеки й внутрішні стандарти безпеки.
• Допомагати підтримувати контроль і прозорість щодо корпоративних пристроїв, серверів та інфраструктурних активів.
• Будувати та вдосконалювати рішення, що знижують ризик витоку даних і несанкціонованого доступу.
• Проводити внутрішні security assessments наших продуктів, інфраструктури та сервісів.
• Регулярно проводити внутрішні penetration tests і security audits.
• Використовувати такі інструменти, як Nmap, Nuclei, Metasploit та інші scanning frameworks, для виявлення вразливостей.
• Аналізувати потенційні attack surfaces на рівні APIs, web applications, внутрішніх сервісів та інфраструктури.
• Тісно взаємодіяти з engineering teams, щоб виявляти й закривати security issues ще на ранніх етапах розробки.
• Допомагати впроваджувати механізми моніторингу, логування та виявлення підозрілої активності.
• Документувати результати, пропонувати mitigation strategies і допомагати командам впроваджувати необхідні виправлення.

Що нам важливо

• Сильне практичне розуміння принципів кібербезпеки та сучасних attack vectors.
• Hands-on досвід роботи з інструментами security testing, такими як Nmap, Nuclei, Metasploit або подібними frameworks.
• Сильне розуміння network security, web application security та infrastructure security.
• Досвід проведення penetration tests або security research.
• Знайомство з Linux-системами та типовими серверними середовищами.
• Вміння аналізувати системи та виявляти слабкі місця в архітектурі або реалізації.
• Допитливість, наполегливість і сильна внутрішня мотивація розуміти, як саме системи дають збій.
• Вміння налаштовувати та підтримувати system-level firewalls (наприклад, iptables, nftables або ufw) і забезпечувати мережеві політики доступу.
• Досвід налаштування та експлуатації Web Application Firewalls (WAFs), таких як Cloudflare WAF, ModSecurity або подібних рішень, для захисту APIs і web services.
• Сильне практичне розуміння того, як у реальності працює Інтернет, зокрема DNS, TLS, HTTP та типові attack vectors, що впливають на мережеві системи.
• Ґрунтовні знання мережевих основ, зокрема TCP/IP, routing, NAT, VLANs і моделі OSI.
• Вміння аналізувати traffic flows, розуміти, як пакети проходять через мережу, та діагностувати проблеми зі з’єднанням або безпекою на різних рівнях network stack.

Профільні сертифікації, такі як OSCP, CEH, Security+ або подібні, будуть плюсом, але для нас важливішими є реальний практичний досвід і підтверджені навички.

Кого ми шукаємо

Не шукаємо людину, чий досвід зосереджений переважно на управлінні великими security teams або підготовці compliance documentation.

Натомість ми шукаємо сильних, мотивованих інженерів і допитливих security-minded фахівців, яким цікаво досліджувати системи, перевіряти припущення, нестандартно шукати слабкі місця й на цій основі будувати сильніший захист. Незвичний бекграунд, нетиповий досвід і self-driven експерименти можуть підійти для цієї ролі краще, ніж класичний кар’єрний шлях.

Чому варто приєднатися

• Працювати з реальними системами, що функціонують у середовищах із високою ціною помилки.
• Допомагати захищати AI platforms та data infrastructure, які використовуються в складних операційних сценаріях.
• Бронювання доступне для full-time працівників.
• Гнучкий формат роботи в середовищі з фокусом на результат.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed to handle complex, high-stakes environments.

We are looking for a specialist who will help build a strong quality assurance process for our company’s IT products, including solutions in the field of artificial intelligence.

In this role, you will be responsible for full manual testing of our products, evaluating them through the lens of real business and user scenarios. For us, it is important not only to verify that the interface works and that the features match the stated functionality, but also to ensure that the system truly solves user problems, processes data correctly, and generates accurate responses to requests.

We expect the candidate to:

• Demonstrate a high level of responsibility, attention to detail, and an understanding that even minor issues in a MilTech product can be critical.
• Show initiative in their testing approach and not limit themselves to formal feature checks.
• Be committed to continuously developing their QA skills and professional expertise, and communicate effectively with different stakeholders.
• Have 2+ years of commercial experience in Manual QA at the Middle level or above.
• Be able not only to find bugs, but also to identify their causes and sources through log analysis, browser developer tools, debugging, and system behavior analysis.
• Understand how HTTP REST APIs work and be able to use tools such as Postman for testing.
• Be familiar with data formats such as JSON, YAML, and XML.
• Understand the basic principles of working with Git, be familiar with deployments, different environments, and semantic versioning.
• Have a solid understanding of the testing process and hands-on experience with core testing artifacts. 
• Ability to work with requirements, conduct requirements testing and exploratory testing, create checklists, test cases, and bug reports, prepare test run reports, and perform smoke and ad hoc testing. 
• Have experience in requirements analysis, test design, defect tracking, and supporting risk management processes.
• Understand why testing across different environments, operating systems, and browsers is necessary, and how to ensure it is done effectively.
• Be ready to work from the office in Kyiv, at least during the product onboarding stage and team integration.

Not required, but would be a plus if you have:

• Experience working with SaaS products or analytical platforms.
• Any experience in test automation, programming, or writing scripts to speed up tasks.
• Understanding of SQL or Cypher queries.
• Relevant QA certifications.

We offer:

• The opportunity to work on national-scale projects with real practical impact.
• Professional growth in a team of strong specialists. The opportunity to build your own QA team and gradually move into Automation QA, if desired.
• An office in Kyiv with a generator and uninterrupted internet access.
• Military deferment.

Our company is developing its own interactive knowledge base. Users can upload any volume of diverse data, after which the system automatically transforms it into structured, searchable content. To achieve this, we use a comprehensive ML pipeline involving OCR, vision-language models, document parsers, and multiple types of data storage. Search is implemented through an LLM-based chat interface that allows users to submit queries in natural language, retrieve relevant documents, and receive summarized findings and recommendations based on the uploaded materials.

We are currently looking for an ML/AI Engineer with deep experience working with unstructured content - primarily photographs and scanned document copies - who will strengthen our team and lead the development of pipelines and solutions for processing this type of data.

We expect the candidate to:

• Have broad experience working with unstructured data and have used both classical OCR systems (Tesseract, PaddleOCR, EasyOCR) and modern models (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Understand the strengths and weaknesses of different architectures and the scenarios in which each is most effective.
• Have hands-on experience training and fine-tuning OCR and Vision-Language models.
• Understand algorithmic approaches to image enhancement, preprocessing, and filtering in order to improve downstream recognition quality.
• Have worked with Docling (including advanced backend tuning for parsing complex PDFs and tables), markitdown, Apache Tika, PyMuPDF, and other tools for document conversion and structuring. Be comfortable with processing layered and non-trivial PDF files.
• Have experience working with self-hosted models, including deploying and optimizing models in vLLM environments on H100-class GPUs and above, and understand the principles of GPU architecture and KV cache.
• Have strong Python programming skills, including architectural patterns, multithreading, asynchronous programming, modern testing practices, and experience operating services under high load (monitoring, telemetry, memory utilization).
• Have experience working with document-oriented, relational, and vector databases, and understand index types and the relevant use cases for each type of storage.

It would be a plus if you have:

• Experience working with Speech-to-Text or Video-to-Text pipelines.
• Experience in content analysis, including classification, summarization, and NER.
• Experience in data engineering: understanding of ETL/ELT processes, experience with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience in DevOps: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other storage systems.
• Understanding of modern cybersecurity approaches.
• Hands-on experience with production-grade RAG-based systems.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

–––––––––––––––––––––––––––––Українською–––––––––––––––––––––––––––––

Наша компанія розробляє власну інтерактивну базу знань. Користувачі можуть завантажувати будь-який обсяг різноманітних даних, після чого система автоматично перетворює їх на структурований, придатний для пошуку контент. Для цього застосовується комплексний ML-пайплайн із залученням OCR, VL моделей, документних парсерів та різних типів сховищ даних. Пошук реалізовано через чат на базі LLM, який дозволяє формувати запити звичайною мовою, отримувати релевантні документи, а також узагальнені висновки та рекомендації на основі завантажених матеріалів. 

Зараз ми шукаємо ML/AI інженера з глибоким досвідом роботи з неструктурованим контентом (насамперед фотографіями та скан-копіями документів), який підсилить нашу команду та очолить напрям розробки пайплайнів і рішень для обробки таких даних. 

Ми очікуємо, що кандидат: 
• Має широкий досвід роботи з неструктурованими даними та застосовував як класичні OCR-системи (Tesseract, PaddleOCR, EasyOCR), так і сучасні моделі (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Розуміє сильні та слабкі сторони різних архітектур і сценарії їх застосування. 
• Має практичний досвід навчання та fine-tuning OCR і Vision-Language моделей. 
• Розуміє алгоритмічні методи покращення зображень, їх попередню фільтрацію та обробку для підвищення якості подальшого розпізнавання. 
• Працював з Docling (включно з тонким налаштуванням бекендів для парсингу складних PDF і таблиць), markitdown, Apache Tika, PyMuPDF та іншими інструментами для конвертації й структуризації документів. Орієнтується у процесингу багатошарових і нетривіальних PDF-файлів. 
• Має досвід роботи з self-hosted моделями, зокрема запуску та оптимізації моделей у середовищах vLLM на GPU рівня H100 і вище, розуміє принципи GPU-архітектури та KV cache. 
• Має сильні навички програмування на Python: архітектурні патерни, багатопоточність, асинхронність, сучасні практики тестування, досвід експлуатації сервісів під високим навантаженням (моніторинг, телеметрія, утилізація пам'яті). 
• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, розуміє типи індексів і відповідні юзкейси для кожного типу сховищ. 

Буде плюсом: 
• Досвід роботи з Speech-to-text або Video-to-text пайплайнами.
• Досвід аналізу контенту: класифікація, сумаризація, NER. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими сховищами. 
• Розуміння сучасних підходів до кібербезпеки. 
• Практичний досвід із системами на основі RAG у продакшені. 

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.

We are looking for a specialist who will be responsible for the development and maintenance of a complex AI-powered search system built on top of a large interactive knowledge base. The system includes tool calling and agentic behavior that interact with internal tools and multiple types of storage: vector databases for semantic search, document-oriented databases for full-text search, as well as relational and graph databases for lookup by specific identifiers. The search interface is built as an LLM-powered chat that supports natural language queries and returns well-grounded conclusions, recommendations, and links to primary sources.

The candidate will be responsible for designing and implementing the full LLM-powered search pipeline, including orchestration, reasoning, reranking, tool calling, handling tool outputs, validating results, and generating final user-facing responses.

We expect the candidate to:

• Have hands-on commercial experience working with vLLM in self-hosted environments, including model optimization on H100/H200 GPUs, with a solid understanding of GPU architecture principles and cache behavior under production workloads.
• Have a deep understanding of the RAG concept and a proven track record of successfully deploying similar solutions in production.
• Have worked with Haystack, LlamaIndex, LangChain, or similar frameworks, and understand the core differences between them.
• Have experience using MCP and working with LLMs that call external tools and services.
• Have strong Python skills, including architectural principles, design patterns, multithreading, asynchronous programming, modern testing practices, and experience operating systems under load (monitoring, memory optimization, telemetry).
• Have experience working with document-oriented, relational, and vector databases, including an understanding of index types and the appropriate use cases for each.

It would be a plus if you have:

• Experience building or maintaining knowledge bases, AI-powered reporting systems, or chatbots with large context windows.
• Experience training or fine-tuning LLMs or compact models for domain-specific tasks.
• Practical DevOps experience: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience developing OCR- and Vision-Language-based systems for processing unstructured data.
• Experience in data engineering: understanding of ETL/ELT processes, working with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other database systems.
• Understanding of cybersecurity processes and modern approaches to data protection.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

––––––––––––––––––––––––––––Українською––––––––––––––––––––––––––––

Шукаємо фахівця, який буде відповідати за розробку та супровід комплексної AI-powered пошукової системи на основі великої інтерактивної бази знань. У системі реалізовано tool calling та agentic behaviour, що працюють із внутрішніми інструментами та різними типами сховищ: векторними базами для семантичного пошуку, документоорієнтованими для повнотекстового пошуку, а також реляційними та графовими базами для пошуку за конкретними ідентифікаторами. Інтерфейс пошуку побудовано у форматі LLM-powered чату, який підтримує запити natural language і повертає аргументовані висновки, рекомендації та посилання на першоджерела. 

У зону відповідальності кандидата входитиме проєктування та впровадження повного пайплайну LLM-powered пошуку, включно з orchestration, reasoning, reranking, tool calling, обробкою відповідей інструментів, валідацією результатів та формуванням фінальних відповідей для користувача. 

Ми очікуємо, що кандидат: 

• Має практичний комерційний досвід роботи з vLLM у self-hosted середовищах, включно з оптимізацією моделей на GPU H100/200, розумінням принципів GPU-архітектур та поведінки кешу під продакшн-навантаженням. 
• Глибоко розуміє концепцію RAG та має досвід успішного впровадження подібних рішень у продакшені. 
• Працював з Haystack / LlamaIndex / LangChain або аналогічними фреймворками та орієнтується в принципових відмінностях між ними. 
• Має досвід використання MCP та роботи з LLM, які викликають зовнішні інструменти й сервіси. 
• Володіє Python на високому рівні: архітектурні принципи, шаблони проєктування, багатопоточність, асинхронність, сучасні практики тестування, а також досвід експлуатації систем під навантаженням (моніторинг, оптимізація пам'яті, телеметрія). 

• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, включно з розумінням типів індексів і відповідних сценаріїв застосування. 

   

Буде плюсом: 

• Досвід створення або підтримки баз знань, систем генерації звітів на базі AI, розробка чатботів із великим контекстним вікном.
• Досвід навчання або fine-tuning LLM чи компактних моделей для специфічних задач. 
• Практичний досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід розробки систем на основі OCR та Vision-Language моделей для обробки неструктурованих даних. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими СУБД. 
• Розуміння процесів кібербезпеки та сучасних підходів до захисту даних. 
   

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.