Jobs at DefTech companies

Responsibilities

• Monitor data completeness, accuracy, and timeliness across databases, dashboards, and reports.
• Investigate discrepancies, identify root causes, and coordinate fixes with business, BI, Data Engineering, and IT teams.
• Handle BI support requests, including incorrect metrics, missing data, report refresh issues, and access problems.
• Validate reporting logic and help users understand key metrics.
• Maintain data quality checks, help automate recurring controls, and document common issues.

Requirements

• 2+ years of experience in Data Quality, Data Analysis, BI Support, CRM analytics, or a related role.
• Hands-on experience validating data and troubleshooting reporting discrepancies.
• Strong Excel and SQL skills.
• Experience with BI reports and an understanding of how data moves from source systems to dashboards.
• Clear communication with users and technical teams.

Nice to have

Experience with Power BI, Microsoft Dynamics 365, Power Apps, or automated data quality checks.

Our client company applies AI to Ukraine's drone fleet, flying on live combat missions. The company is partnered with some of the major OEMs and brigades in Ukraine, and its AI is also deployed on EU platforms.

The company was built on a simple premise: deterrence is proven in the field, not built in a laboratory. The company is hiring a Chief Engineer who wants to keep building, not step away from it.

This role leads the Pilot and Platform engineering teams - not through day-to-day people management or payroll, but through architecture, product decisions and direct technical leadership. A CTO sits above this role to handle strategy, business and financing; this position exists so that whoever holds it can stay close to the code and the customer instead of being pulled upward into the business.

Key Responsibilities

• Work with the product team to shape product development
• Own system architecture across the flight autopilot and hardware/platform layers
• Drive both the Pilot and Platform engineering teams to ship
• Lead product and architectural decisions, guide the teams, participate in recruiting

• Stay hands-on in the codebase (roughly half of the role)

   

Requirements

• Deep hands-on engineering expertise and strong credibility in the codebase
• Experience owning system architecture across complex, hardware-adjacent software systems
• A track record of driving engineering teams to ship without formal management authority
• Comfort working closely with product and OEM stakeholders on real-world trade-offs
• A build-first mentality - this is primarily a technical role, not a strategy or business-focused role

Company Offer

• Top-of-market compensation + equity
• A senior technical role that allows you to stay hands-on, close to both the code and the customer
• Direct influence over the architecture and a product deployed in real-world combat environments
• Military exemption (reservation) may be provided, subject to available company quota

We are a Kyiv-based international startup engineering the next generation of fixed-wing UAVs. To support our rapid growth, we are looking for a hands-on engineer to take ownership of prototype development, structural build, systems integration, and field testing.

Our global team combines decades of aerospace experience to build cutting-edge unmanned systems from the ground up. With high-velocity iteration cycles and deep backing from our investors and

customers, we are focused entirely on delivering world-class results.

Your role

• Contribute to aircraft development from initial concepts through prototype testing.
• Select, assemble, and integrate components across hardware and software.
• Support ground and flight testing, analyse results and troubleshoot issues.
• Work in multiple domains, like aircraft design, powertrain, aerodynamics and GNC.

Your profile

• Practical engineering experience or substantial personal or university projects.
• A hands-on approach: ready to build, test, troubleshoot, and learn new systems.
• Ability to work independently, explain technical decisions, and collaborate in a small team.
• English required.

Experience in ANY of the following is a plus

• Aerodynamics: fixed-wing analysis and CFD simulation.
• Aircraft design and sizing: conceptual design, performance modelling and simulation using MATLAB, Python or comparable tools.
• Powertrain: electric propulsion; combustion or hybrid propulsion experience also welcome.
• Systems engineering: requirements, interfaces, integration and verification.
• GNC: flight controls, navigation and autopilot integration, particularly ArduPilot.
• Airborne electronics: component selection, avionics integration, circuit or PCB development.

The offer

• Full-time, Kyiv. On-site preferred, hybrid possible.
• Decent employee stock options plan (ESOP).
• Start date: as early as possible.
• Conscription Booking.

Why join us

• Influence key aircraft design decisions from an early stage.
• Develop, build and test: take your work from analysis to real hardware.
• Choose technical approaches, propose ideas and test them with short decision paths.
• Become a core team member to shape how the company works, take on more responsibility as it grows, and grow with it.

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

We are looking for a Computer Vision Engineer to join our team and develop vision-based systems for UAV applications.
In this role, you will work on the development of computer vision algorithms and their deployment on resource-constrained devices. You will be involved across the development cycle, from algorithm development and hardware evaluation to testing, performance optimization, and deployment.
This is a product-facing role where you will work closely with stakeholders from multiple departments and teams to develop reliable vision-based solutions for real-world applications.
​
Responsibilities:

• Develop and optimize computer vision algorithms, focusing on tasks such as object detection, tracking, and navigation for real-time edge inference
• Implement and customize machine learning models and vision frameworks, ensuring seamless integration with existing drone systems and hardware
• Conduct extensive testing and validation of algorithms in real-world scenarios, fine-tuning parameters and optimizing performance for robust performance in various conditions
• Evaluate and provide input on appropriate camera sensors, lenses, and onboard computing hardware for vision applications
• Develop repeatable testing methods and build data pipelines to evaluate and continuously improve the performance of vision models

• Collaborate with computer vision and robotics experts to leverage the latest advancements in the field and integrate them into the systems

   

Requirements:

• Proven ability to develop high-performance, real-time applications in C++ or Rust, specifically leveraging ROS2 for distributed messaging and OpenCV for real-time image processing or feature detection
• Strong hands-on experience developing and implementing computer vision systems for real-world, real-time embedded applications
• Deep understanding of both traditional computer vision techniques (e.g., feature extraction, optical flow, camera calibration) and modern deep learning architectures (e.g., CNNs, Vision Transformers)
• Track record of having implemented and deployed vision applications on robotic platforms in real applications
• Strong analytical and problem-solving skills, with the ability to design and evaluate complex algorithms in real-world scenarios
• Effective communication skills and the ability to work collaboratively in multidisciplinary teams, interacting with researchers, engineers, and external stakeholders
• Ability to effectively navigate ambiguity and lead across in a fast-paced environment

• English at B2–C1 level for communication with international colleagues and working with technical documentation.

   

We Offer:

• Official employment under Ukrainian labor law
• Military booking
• Medical insurance
• Individual English lessons
• Stock Options
• Opportunity to work on cutting-edge UAV systems and grow professionally

The Defense Procurement Agency (DOT) is a state-owned enterprise responsible for procuring military equipment, ammunition, UAVs, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine's defense capabilities by ensuring reliable procurement and supporting the development of the national defense industry.

Our vision: To become the driving force behind a modern defense procurement ecosystem built according to NATO standards.

We are looking for a Head of Information Security to lead and strengthen our Information Security function across governance, engineering, and security operations. This role combines strategic leadership with hands-on technical expertise, ensuring the continuous development of our Information Security Management System (ISMS), alignment with the NIST Cybersecurity Framework, and the organization's readiness to prevent, detect, and respond to cyber threats.

What You'll Accomplish (First 6–12 Months)

• Ensure continued NIST compliance for DOT Chain and define the roadmap for future security initiatives, including platforms such as Azure AI Foundry.
• Strengthen the security posture of IT Enterprise by implementing and maintaining NIST security controls, establishing regular risk assessments, exception management, and vulnerability remediation processes.
• Build a high-performing security organization with defined OKRs, KPIs, resource planning, and performance management.
• Enhance Azure-based Security Operations by improving monitoring, incident response, vulnerability management, identity governance, and RBAC.
• Lead Red Team and Purple Team exercises (including ransomware readiness and identity compromise scenarios) and translate findings into engineering improvements.
• Establish vendor security governance, including security assessments, NDA/SLA/DPA requirements, and third-party security audits.

Responsibilities

Leadership & Team Management

• Lead both Information Security Governance (ISMS, Risk & Compliance) and Cybersecurity Engineering & Operations.
• Manage, mentor, and develop the Information Security team through structured performance management, OKRs, and individual development plans.
• Collaborate closely with Engineering, IT, Product, and business stakeholders to prioritize security initiatives and protect critical services.

Governance, Risk & Compliance

• Develop and maintain security policies, standards, procedures, and risk registers.
• Lead internal and external security audits and coordinate remediation activities.
• Drive the organization's transition toward NIST-based security practices while maintaining alignment with ISO 27001 where required.
• Own Incident Response Plans (IRP), post-incident reviews, and continuous improvement.
• Ensure compliance with Ukrainian legislation related to information security and personal data protection.

Security Engineering & Operations

• Oversee enterprise security technologies, including:
• Microsoft Sentinel
• Microsoft Defender
• EDR/XDR
• SIEM
• DLP
• PAM
• IAM / Microsoft Entra ID
• MDM
• Lead incident monitoring and response activities.
• Manage vulnerability lifecycle from discovery through remediation.
• Improve identity security through MFA, PIM, Least Privilege, JML processes, Key Vault, secrets management, and centralized logging.
• Define and improve SOC processes, runbooks, SLAs, and operational metrics.

Application Security & Secure SDLC

• Strengthen application security throughout the software development lifecycle.
• Drive Threat Modeling, Security Architecture Reviews, DevSecOps practices, automated code scanning (SAST/DAST), SBOM generation, and CI/CD security.
• Integrate Red/Purple Team findings into engineering roadmaps and development practices.

Vendor Security

• Evaluate and audit third-party vendors integrated with DOT Chain.
• Establish and maintain supplier security requirements, including NDA, SLA, DPA, and third-party security assessments.

Strategy, Reporting & Budget

• Report regularly to executive leadership on security posture, KPIs, risks, vulnerability remediation, and incident readiness.
• Own the Information Security budget and define a 12–18 month security roadmap with prioritized initiatives and measurable business value.

Requirements

Experience

• 5+ years of experience in Information Security or Cybersecurity.
• 3+ years leading Information Security teams and security programs.
• Proven experience implementing enterprise Information Security strategies and governance.
• Hands-on experience with Red Team/Purple Team exercises, attack simulations, ransomware preparedness, and identity compromise scenarios.
• Strong experience implementing and maintaining NIST Cybersecurity Framework and/or ISO 27001.
• Experience building or managing Security Operations (SOC/SecOps), incident response, vulnerability management, and security monitoring.
• Strong Microsoft Azure security expertise, including:
• Microsoft Defender for Cloud
• Defender for Endpoint
• Defender for Identity
• Defender for Office 365
• Microsoft Sentinel
• Microsoft Entra ID
• Azure Key Vault
• Understanding of Secure SDLC, Application Security, DevSecOps, SAST/DAST, CI/CD security, Infrastructure as Code, and secret management.
• Experience securing .NET and PHP application environments is an advantage.

Technical Knowledge

• Strong practical knowledge of:
• NIST Cybersecurity Framework (CSF 2.0)
• NIST SP 800 Series
• ISO/IEC 27001
• Knowledge of Ukrainian regulations related to information security and personal data protection.

Leadership & Soft Skills

• Strong leadership, people management, and stakeholder management skills.
• Experience establishing KPIs, OKRs, and performance management frameworks.
• Ability to balance strategic governance with hands-on technical leadership.
• Excellent communication skills, including the ability to explain technical risks to executive stakeholders.
• Strong analytical thinking and decision-making skills.
• Zero tolerance for corruption.

Preferred Qualifications

• CISSP
• CISM
• ISO 27001 Lead Implementer or Lead Auditor
• Microsoft certifications such as SC-100, SC-200, SC-300, SC-400, or AZ-500.
• Experience working within government organizations or other highly regulated environments.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.
• Opportunity to build and lead cybersecurity for one of Ukraine's most strategically important digital ecosystems.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

Recruiter Freelance (Project-Based) — MilTech (Kyiv)

We are looking for an experienced Freelance Recruiter based in Kyiv to support hiring on a project basis for a fast-growing company in the Military Technology (MilTech) sector.

This role involves sourcing and closing candidates across a diverse range of positions — from IT and engineering roles to manufacturing and operational staff.

Key Responsibilities

- Manage full-cycle recruitment (job briefing → sourcing → interviews → offer stage)
- Source candidates for IT, manufacturing, and operational roles
- Build and maintain a strong pipeline of qualified candidates
- Collaborate with hiring managers
- Conduct screenings and coordinate interviews
- Ensure a high-quality candidate experience

Requirements

- 3+ years of proven recruitment experience

- Pass a polygraph test in Kyiv is a must
- Experience with technical and/or manufacturing roles
- Strong sourcing skills
- Ability to work independently
- Based in Kyiv 
- English: Intermediate or higher
 

Engagement Model

- Freelance / contractor
- Project-based collaboration
- Compensation discussed individually

Why Join Us

- Work in the MilTech sector and helping to make a technological dominance on the battle field
- Direct impact on building teams
- Fast-paced environment
- Long-term collaboration opportunities

Our partner is an innovative technology company specializing in the development and implementation of cutting-edge solutions in embedded systems and radio frequency (RF) engineering.

We are currently seeking an experienced Firmware Engineer to join our team.

Key Qualifications:
BA or Master’s degree in computer science
Strong level of C/Embedded programming (FW, drivers)
5+ years of experience in industrial or embedded software development
Excellent debugging skills
Familiarity with embedded firmware design
Expertise in hardware components and design
Programming under Linux environment
Advanced experience with Git tools and workflows

Responsibilities:
Developing and implementing software for industry specific hardware
Designing firmware solutions based on company or project needs
Designing detailed firmware plans
Ensuring that firmware is always functional and up-to-date
Troubleshooting and optimising firmware

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical 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 інфраструктури 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.

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.

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.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical 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 інфраструктури 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.

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

Bavovna Defence is a company operating in the miltech sector, specializing in the development of electronic devices for the frontlines. Our products include munition drop controllers, remote detonation systems, target tracking systems, communication systems, and more.

For the past 3.5 years, we have been fully dedicating ourselves and our work to bringing Ukraine’s victory closer and strengthening its defense capabilities.

We are not planning to stop—only to expand! That’s why we are currently looking for a skilled Hardware Engineer, whose responsibilities will include:

• Developing technological maps for the production of electronic devices.
• Designing electronic devices, as well as physical and mathematical models of systems.
• Creating physical models for simulating control systems for electronic devices and aerial vehicles in MATLAB/Simulink.

• Researching and adapting new production technologies (related to development).

   

Requirements:

• Strong knowledge of physics and mathematics.
• Experience working with safety systems.
• Understanding of analog and digital circuit design.
• Knowledge of electromagnetic compatibility (certification experience is a plus).
• Understanding of PCB manufacturing/assembly and knowledge of IPC standards.
• Experience with Git.
• Proficiency in Altium Designer / OrCad / Eagle.
• Ability to read blueprints and work with STEP models.
• Experience with SPICE simulators: LTSpice, PSpice, Multisim, Microcap, Proteus.

• English proficiency (spoken skills are preferred).

   

Bonus points for:

• Experience with BGA packages / multilayer (8+) PCBs.
• Experience with STM32 controllers / FPGA.
• Experience in RF circuit/antenna/SDR system design.
• Experience with instrumentation amplifiers.
• Experience in designing switching power supplies.
• Experience in Safety-Critical / Mission-Critical system development.

What we offer:

• Competitive salary (at or above market level, depending on technical interview results).
• Remote work format.
• Flexible schedule (we prioritize task completion within deadlines rather than fixed working hours).
• A truly friendly team of professionals and like-minded individuals who will support, assist, and eagerly share their expertise with new team members.

We look forward to having you on board! 🚀

We are looking for Talent Sourcer for an IT product company that is rapidly growing and delivering a unique, cutting-edge solution in the defense tech industry. 

Talent Sourcer will support the expansion of the company during this period of rapid growth. You will be responsible for attracting and identifying potential candidates, finding effective ways to connect with them, and continuously improving sourcing strategies and processes. 

Key Responsibilities: 

• Develop and implement effective sourcing strategies for roles across various levels. 

• Utilize a wide range of sourcing techniques, including Boolean/X-ray search on different platforms such as LinkedIn Recruiter, GitHub, social media and alternative sources. 

• Craft personalized and multi-channel outreach campaigns to increase candidate response rates and engagement. 

• Analyze sourcing data and recruitment funnel metrics, including interview conversion rates, response rates, and others. 

• Conduct market mapping and competitor research to identify talent pools and hiring trends. 

• Collaborate closely with hiring managers to ensure alignment and effectiveness in recruiting efforts. 

Skills and experience: 

• Minimum of 2 years of hands-on experience as a Sourcer. 

• Demonstrated expertise in sourcing across both technical and non-technical roles. 

• Knowledge of different sourcing tools and techniques, including Boolean search, and sourcing across various platforms (e.g., LinkedIn, GitHub, etc.). 

• Strong understanding of diverse job roles and the ability to quickly understand and adapt to new job requirements. 

• Results-oriented mindset with a proactive approach, creative problem-solving, and a high degree of flexibility. 

• Proficiency in English at an intermediate level or higher. 

• Experience sourcing candidates in the EU and USA markets will be a plus. 

What company offers: 

• A dynamic and innovative work environment that supports professional growth. 

• The opportunity to make an impact on the company’s processes and outcomes. 

• Work with Ashby ATS and the latest sourcing tools. 

• Competitive salary, official employment, employee military deferral (if applicable), and stable working conditions. 

• Flexible working arrangements (office / hybrid, flexible working hours). 

• A chance to contribute to the development of a cutting-edge and fast-moving product. 

If you're passionate about identifying top talent and enjoy using innovative sourcing strategies to find the perfect fit, we'd love to hear from you!