Jobs at Djinni

Product:

An AI-powered platform designed to transform how finish materials suppliers price their offerings and compete for project opportunities.

It combines advanced artificial intelligence, deep domain expertise, and a modern, intuitive user interface to help revenue teams and executives respond to customer requests faster and improve their ability to bid on new projects effectively.

As a result, companies can increase response speed, scale their bidding capacity, and improve win rates in highly competitive markets.

Responsibilities:

• Tag and annotate images, drawings, and documents according to detailed guidelines
• Ensure high accuracy and consistency in labeling tasks
• Follow internal processes and quality standards

Requirements:

• Strong attention to detail and ability to perform repetitive tasks
• Analytical mindset and structured work approach
• At least upper intermediate English level
• Previous experience in data tagging/labeling is a plus, but not required

Your future responsibilities:

• Define and maintain the enterprise architecture vision, principles, standards, and roadmaps aligned with the bank's business strategy
• Own and evolve the bank’s enterprise integration architecture and integration strategy, ensuring a coherent approach across APIs, events, messaging, batch/file integration, and legacy integration patterns
• Define the target architecture and roadmap for the enterprise integration layer, including API Management, Event Streaming, Integration/iPaaS capabilities, service connectivity, and integration with legacy and core banking platforms
• Drive development of the enterprise API and integration ecosystem, ensuring reusable, secure, observable, and well-governed integration capabilities across business domains and tribes
• Establish and govern enterprise integration standards and patterns, including synchronous APIs, asynchronous messaging, event-driven architecture, request/reply, data synchronization, batch integration, and integration with external partners
• Own and evolve the enterprise API, Event and Integration Catalog, providing visibility of available APIs, events, interfaces, dependencies, ownership, lifecycle status, and reuse opportunities across the bank
• Define governance and lifecycle management for APIs and events, including naming conventions, versioning, backward compatibility, deprecation, ownership, SLAs/SLOs, security requirements, and documentation standards
• Establish principles for API-first and Event-driven architecture, reducing point-to-point integrations and increasing reuse and interoperability between domains
• Define clear boundaries and responsibilities between domain services, integration platforms, data platforms, and shared enterprise capabilities
• Facilitate integration architecture decisions for cross-domain initiatives and resolve dependencies and conflicts between tribes and systems
• Develop and govern the Enterprise Architecture framework across application, data, integration, and technology domains
• Maintain and evolve the enterprise application portfolio (1,000+ applications), driving rationalization, modernization, and technical debt reduction
• Lead Architecture Review Board (ARB) processes — evaluate solution designs, ensure compliance with EA principles, and provide architectural decisions on cross-domain initiatives
• Review major solution architectures with particular attention to integration design, service boundaries, coupling, resilience, scalability, security, and reuse of existing enterprise capabilities
• Own and manage the Technology Radar — assess emerging technologies, define technology standards and lifecycle policies, and guide adoption and sunset decisions
• Collaborate with tribe leads, product owners, solution architects, platform teams, and business stakeholders to align technology investments with business priorities across 10 domains
• Drive adoption of industry frameworks and standards such as TOGAF, BIAN, and ArchiMate to ensure architectural consistency and banking domain alignment
• Apply BIAN concepts to improve service boundaries, domain ownership, API design, and interoperability between banking capabilities
• Conduct architecture maturity assessments, identify capability gaps, and define improvement roadmaps, including integration architecture maturity and platform adoption
• Provide strategic guidance on data architecture, ensuring alignment with enterprise data governance and regulatory requirements
• Facilitate cross-tribe architectural alignment, resolve architectural conflicts, and ensure coherent end-to-end solution design
• Work with platform and engineering teams to improve integration observability, reliability, security, and operational governance, including monitoring of APIs, events, message flows, dependencies, and service-level objectives
• Identify redundant interfaces, duplicate APIs, point-to-point integrations, and obsolete integration technologies, and define modernization and decommissioning roadmaps
• Mentor and coach solution architects and engineering leads, fostering architecture thinking and integration design excellence across teams
• Communicate architecture strategy, decisions, roadmaps, and trade-offs to C-level stakeholders and technical audiences alike

Your skills and experience:

• 7–10+ years of IT experience with at least 3 years in enterprise, integration, or solution architecture roles, preferably in banking or financial services
• Strong hands-on background in enterprise integration architecture, including designing large-scale integration landscapes and defining integration strategies and standards
• Strong expertise in: API architecture and API Management, REST and asynchronous API patterns, Event-driven architecture, Kafka and event streaming, messaging technologies, ESB and iPaaS platforms, service integration, external/partner integrations, legacy and core banking integration
• Practical experience designing or governing enterprise integration platforms/layers and defining their target architecture and evolution roadmap
• Experience implementing API and Event governance, including API/event catalogs, ownership models, versioning, lifecycle management, documentation, security standards, and reuse policies
• Understanding of integration patterns and anti-patterns, including point-to-point integration, orchestration vs choreography, transactional integration, eventual consistency, idempotency, retries, dead-letter handling, and distributed system resilience
• Strong understanding of API security approaches including OAuth2/OIDC, mTLS, token management, authorization, rate limiting, and API gateway security controls
• Experience with enterprise API Management or integration technologies such as Kong, Apigee, MuleSoft, Azure API Management, AWS API Gateway, Kafka, Confluent, or equivalent platforms
• Strong knowledge of enterprise architecture frameworks (TOGAF, Zachman) and modeling notations (ArchiMate, UML, BPMN)
• Hands-on experience with EA tooling (LeanIX, Ardoq, MEGA, or similar) for portfolio management, dependency mapping, capability modeling, and architecture repository management
• Deep understanding of banking domains such as core banking, payments, lending, customer onboarding, KYC/AML, cards, accounting, and regulatory compliance
• Experience with BIAN Service Landscape and its practical application to domain decomposition, service boundaries, and integration architecture
• Solid understanding of cloud platforms (AWS, Azure) and hybrid infrastructure strategies, including Kubernetes, Docker, service connectivity, and Infrastructure as Code
• Experience with data architecture concepts including data products, data mesh/data fabric, master data management, data governance, and analytics platforms
• Knowledge of modern software engineering and architecture practices including DDD, CQRS, Event Sourcing, microservices, CI/CD, DevOps, and observability
• Proven experience in technology portfolio governance, technology radar management, lifecycle policies, build-vs-buy analysis, and vendor assessment
• Strong stakeholder management and communication skills — ability to translate complex integration and architecture topics into clear business implications for executive audiences
• Experience facilitating Architecture Review Boards, architecture workshops, and cross-functional alignment sessions
• Strategic thinking combined with pragmatic execution — ability to define long-term target architecture while supporting incremental modernization of a complex legacy banking landscape
• Fluent English communication skills, both written and spoken

Nice to have:

• TOGAF or equivalent Enterprise Architecture certification
• BIAN certification or strong practical BIAN implementation experience
• Experience establishing or transforming an enterprise integration platform / integration layer in a large financial institution
• Experience building enterprise API and Event Catalogs and introducing API-first / Event-driven governance at scale
• Experience with Agile at scale and architecture practices within tribe/squad organizational structures
• Background in core banking migration, modernization, or large-scale transformation programs
• Experience modernizing ESB/legacy integration landscapes toward APIs, microservices, and event-driven architectures
• Familiarity with AI/ML integration patterns, agent/API integration, and data-driven architecture approaches
• Experience with business capability modeling and IT strategy development

Description

The Client is the UK’s leading fee-free mortgage broker. They are seeking experienced Data Engineer to join client’s data team. This role focuses heavily on core data engineering, architecture, and pipeline delivery within established frameworks rather than the presentation layer. The ideal candidate will be responsible for designing, building and optimizing scalable ingestion-to-consumption patterns and modern data warehousing principles.

Requirements

Must-Have Skills:

• Python / PySpark for Data Engineering: Strong experience writing PySpark notebooks in Fabric, building data transformation/cleansing logic, and notebook-based pipeline development.
• Medallion Architecture: Proven expertise in designing and implementing Bronze/Silver/Gold layered ingestion-to-consumption patterns, incremental loading, and transformation logic.
• Dimensional Modelling: Strong knowledge of Kimball-style fact/dimension design, SCD (Slowly Changing Dimension) handling, and Gold-layer conformance.
• T-SQL & DDL Proficiency: Expertise in warehouse schema design, writing stored procedures, and performance tuning.
• Pipeline Development & Orchestration: Practical experience with Dataflows Gen2, Fabric pipelines, notebook orchestration, scheduling, and dependency management.
• Good written and verbal English communication skills.

Nice-to-Have Skills:

• Governance & Security Implementation: Exposure to Microsoft Purview integration, Entra ID mapping, and workspace/access control architecture.
• Power BI & Semantic Modelling: Basic knowledge of DAX, semantic model design, and row/column/object-level security (RLS/CLS/OLS).

Job responsibilities

• Data Pipeline & Framework Development: Design, build, and orchestrate robust end-to-end data pipelines using Dataflows Gen2, PySpark notebooks and native orchestration tools.
• Architecture & Storage Layer Management: Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers), ensuring proper incremental loading strategies and layer-specific transformation logic.
• Data Warehousing & Dimensional Modelling: Build Kimball-style fact and dimension models, manage Slowly Changing Dimensions (SCDs), and ensure Gold-layer data conformance for analytics consumption.
• Data Transformation & Optimization: Write clean, modular Python/PySpark code and T-SQL/DDL logic for data cleansing, schema design, stored procedures, and query performance tuning.

TenThousand is a Ukrainian engineering company that has been developing solutions for Fintech and Retail clients in the US, Israel, and Europe since 2021. Our client base includes banks, fintech companies, and logistics services. We tackle complex technical challenges—such as high-risk projects or those involving legacy architecture—and transform them into reliable, scalable, and stable systems. We work on real commercial projects, applying a product-oriented approach and adhering to high standards of quality and security.

We run our own free 3-month academy and are currently looking to add 5 developers to our team for a remote role.

What you’ll be doing:
• Developing features for real commercial projects for clients in the US, Israel, and Europe
• Working in a team under the guidance of a lead from day one
• Developing your technical skills in an environment that upholds real product standards

Requirements:
• Solid knowledge of React, JavaScript, and TypeScript
• Willingness to learn quickly and adopt new approaches
• Responsibility, initiative, and self-organization
• English proficiency at B1+ level (for working with documentation and basic communication)

What we offer:
• Involvement in real projects from the very first weeks
• Free 3-month internal academy and mentorship
• Systematic professional development and career growth within the company
• Remote work format | Office-based work

Selection stages:
1 HR interview — introduction, motivation, soft skills (20–30 min)
2 Technical assignment or interview with the lead
3 Discussion with the project lead → job offer

We are seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic team. The ideal candidate will have a strong background in Kubernetes, Terraform, ArgoCD, Continuous Integration (CI), Continuous Deployment (CD), developer toolsets, and Software Development Life Cycle (SDLC) best practices. This role requires a deep understanding of modern DevOps tools and practices, as well as a commitment to fostering a responsive, communicative, and collaborative environment. This role requires on-call duties.

Key Responsibilities:

• Develop and manage large scale production Kubernetes clusters in a cloud environment (AWS preferred).
• Deploy, manage, and monitor containerized applications using Kubernetes.
• Develop and manage infrastructure as code using Terraform.
• Design, implement, and maintain CI/CD pipelines to ensure efficient and reliable software delivery.
• Manage and optimize cloud infrastructure in AWS to support scalable and secure applications.
• Administer and optimize source code repositories and workflows in GitHub.
• Collaborate with development teams to enhance developer toolsets and streamline SDLC processes.
• Troubleshoot and resolve infrastructure and application issues.
• Implement best practices for security, reliability, and performance.
• Provide mentorship and technical guidance to junior engineers.
• Communicate effectively with cross-functional teams to understand requirements and deliver solutions.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in a platform engineering, DevOps or similar role.
• Extensive experience with Terraform for infrastructure as code.
• Experience with self-hosted Kubernetes clusters for container orchestration and ArgoCD.
• Proficiency in Golang or Python(or any other languages) for scripting and automation.
• Hands-on experience with GitHub for version control and collaboration. 
• In-depth experience with AWS cloud services.
• Excellent problem-solving skills and the ability to work under pressure.
• Exceptional communication skills, both verbal and written.
• Proven ability to work collaboratively in a team environment.
• Strong organizational skills and attention to detail.
• In depth networking knowledge.
• Hands-on experience with AI-assisted development tools, such as GitHub Copilot and Claude Code.

Preferred Qualifications:

• Experience with Github runners and other CI/CD tools and platforms.
• Knowledge of security best practices in cloud environments.
• Experience with observability tools such as Prometheus, and ELK and Grafana stacks- nice to have .
• Certification in AWS or Kubernetes and experience with Backstage is a plus.
• Experience with kOps is a plus.
• Knowledge of Cilium CNI is a plus.
• Experience with Jenkins is a plus.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Join our Revenue Management engineering team and take ownership of the software that powers pricing decisions for every SIXT vehicle, worldwide. Our back office platform enables Pricing Managers to configure rates for both B2C and B2B customers and serves as a critical backbone for a range of internal business operations. The current system is built on a legacy codebase and your primary mission will be to reimagine and rebuild it from the ground up. This is a rare greenfield opportunity to architect a replacement for a core, mission-critical platform that directly shapes the prices millions of customers see across the globe.

What You’ll Do:

• Build and maintain scalable services and integrations
• Design solutions to solve complex problems in legacy and data-intensive systems
• Write clean, tested code and perform code reviews
• Own your services: “You build it, you run it.”
• Collaborate with Product Owners and stakeholders

Must-Have Skills:

• 4-5 years experience with Go, PHP.
• Strong OOP, design patterns, and experience with working with legacy code
• Strong SQL skills (with PostgreSQL, Oracle)
• Unit & integration testing, familiarity with XML, JSON, YAML
• Version control: Git.
• Agentic coding experience
• Upper-Intermediate English.
 

Nice-to-Have:

• Symfony, frontend frameworks (React, ExtJS, jQuery)
• Microservices, goMicro, REST/gRPC APIs, message brokers (Kafka, RabbitMQ)
• Cloud Experience, Docker, Kubernetes, observability tools (Prometheus, Grafana, Instana)
• Exposure to AI/ML tools and frameworks for data-intensive applications.
• Performance optimization and load testing.
• Security/authentication: OAuth2, JWT, Keycloak
 

What we offer:

• Competitive high salary (pegged to EUR)
• Full-time employment as an internal employee of SIXT TECH Ukraine
• Relocation compensation
• People-oriented management with minimal bureaucracy
• A challenging role where you can learn, grow, and influence architecture and processes
• 25 calendar days of paid vacation
• Educational budget for courses, conferences, and certifications
Medical insurance
• Co-funding (50%) for gym and foreign language classes

If you want to work with modern data tech, real business impact, and a global product at scale — we’d love to hear from you.

Description

We are looking for a mature and proactive Scrum Master who can operate independently, rather than someone focused only on facilitating Scrum ceremonies.

The person should be comfortable taking ownership of delivery-related topics, proactively addressing blockers and dependencies, challenging inefficient processes, and helping the team improve its delivery predictability.

Requirements

• 3+ years of experience as a Scrum Master in software development.
• Strong practical knowledge of Scrum and Agile methodologies.
• Proven experience working with software engineering teams.
• Strong experience with Jira and Confluence or similar tools.
• Hands-on experience with delivery planning, tracking, and reporting.
• Experience managing impediments, risks, and dependencies.
• Experience working closely with Product Owners and technical teams.
• Strong facilitation and stakeholder management skills.
• Ability to work proactively and independently.
• Strong communication and conflict-resolution skills.
• Upper-Intermediate or higher English.
• Experience working with distributed international teams.
• Experience coordinating dependencies across multiple teams.

• Experience in scaled Agile environments.

   

Job responsibilities

• Facilitate Scrum ceremonies, including Sprint Planning, Daily Scrum, Sprint Review, Retrospectives, and Backlog Refinement.
• Support the team in planning and delivering Sprint and release commitments.
• Track delivery progress, risks, blockers, and dependencies.
• Proactively identify and remove or escalate impediments.
• Work closely with the Product Owner to maintain a healthy and well-refined backlog.
• Ensure effective communication and collaboration between Product, Engineering, QA, and other stakeholders.
• Support estimation, planning, and delivery tracking.
• Monitor Agile metrics and use them to improve team transparency and delivery predictability.
• Facilitate continuous improvement and help the team identify and implement practical process improvements.
• Support effective management of cross-team dependencies.
• Facilitate resolution of team conflicts and help maintain a collaborative team environment.
• Provide clear and timely updates on delivery status, risks, and dependencies.

We are looking for a hands-on QA Automation & AI Lead to build the next generation of AI-driven quality engineering for our web applications.

This is not a traditional QA Lead role. We are looking for an engineer who deeply understands QA, is strong in automation, and has practical experience building and testing LLM-powered products.

What You’ll Do

• Build AI-driven frontend test automation, primarily using Playwright + LLMs, to test real user journeys.
• Design frameworks where AI can help generate test cases, execute tests, validate outcomes, and analyze failures.
• Build evaluation frameworks for LLM products, including prompt evaluation, hallucination testing, regression testing, and output quality.
• Make intelligent decisions about which model to use where, balancing accuracy, latency, context size, and cost.
• Optimize token consumption for frontend automation instead of sending entire pages/context to expensive models unnecessarily.
• Identify where to use deterministic automation vs. LLM-based automation.
• Explore AI-assisted approaches to make manual and exploratory testing faster and more effective.
• Remain highly hands-on while providing technical direction and guiding engineers implementing the automation platform.

What We’re Looking For

• Strong software engineering and test automation experience.
• Hands-on experience with LLMs and AI-powered applications.
• Strong experience with Playwright or similar browser automation frameworks.
• Experience with prompt/LLM evaluation, hallucination testing, and non-deterministic systems.
• Good understanding of token optimization, context management, model selection, latency, and LLM costs.
• Strong understanding of QA principles, test strategy, regression testing, and edge cases.
• Ability to prototype quickly and turn experiments into scalable automation frameworks.
• Strong technical leadership skills while remaining an individual contributor.

What Success Looks Like

You will help us move from traditional QA toward AI-native quality engineering—where AI assists in creating and validating test scenarios, frontend journeys are intelligently automated, LLM products are continuously evaluated, and model/token usage is optimized for both quality and cost.

We’re looking for someone who thinks beyond “How do I automate this test?” and asks “What is the smartest combination of deterministic automation and AI to test this product?”

Gross salary 14,000 - 21,000 PLN 

We are looking for a highly skilled Senior Data Scientist to join our team.  As a Senior Data Scientist, you will be responsible for designing and implementing advanced data models, analyzing complex business problems, and developing solutions that help optimize sales, marketing, pricing, and overall commercial performance in a leading American publishing house.

The role will contribute to the transition from primarily descriptive analytics toward more advanced, data-driven decision making.

Skills & Experience

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field;
• 5+ years of experience in data science roles;
• Strong experience applying data science and machine learning to business problems, ideally in areas such as sales, marketing, customer behavior, demand forecasting, or pricing optimization;
• Proficient in Python and SQL for data analysis, scripting, and machine learning;
• Proficient in using agentic coding tools like Claude Code, Codex, Cursor
• Experience with SciKit-learn, Pytorch, and similar machine learning frameworks for building and deploying machine learning models;
• Experience working with modern data warehouses/lakehouses like Snowflake, Databricks, BigQuery, Redshift
• Strong analytical and problem-solving skills, with the ability to translate ambiguous business problems into data-driven solutions;
• Ability to work independently and collaborate with business and technical stakeholders;
• Fluent in English and excellent communication skills.

Nice to have: 

• Strong background in data science, with extensive experience in leveraging advanced analytics and machine learning to drive data-driven business decisions.

Responsibilities

• Design, develop, and implement advanced data models and machine learning algorithms to solve complex problems in the publishing domain, like author discovery;
• Analyze sales, marketing, customer, product, and pricing data to identify opportunities and support business decisions;
• Develop data-driven approaches to areas such as demand forecasting, customer behavior, sales optimization, marketing effectiveness, and pricing;
• Work with business stakeholders to understand broad or ambiguous business challenges and translate them into analytical and machine learning solutions;
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights and recommendations;
• Build and maintain scalable data pipelines using technologies such as Snowflake, and DBT;
• Leverage Python and SQL for data analysis, model development, experimentation, and automation;
• Utilize SciKit-learn, Pytorch and similar frameworks for developing and deploying machine learning models;
• Help evolve the organization from descriptive analytics toward predictive and prescriptive analytics and data-driven decision making;
• Stay current with emerging trends and technologies in data science and machine learning.

We are looking for a Head of Product with hands-on experience in blockchain, digital asset, and/or fintech products to lead product strategy, roadmap development, and delivery.

Key Responsibilities:

• Define and maintain the product vision, strategy, and roadmap.
• Research market trends, competitors, and user needs.
• Translate business goals into clear product requirements.
• Prioritize features and manage the product backlog.
• Coordinate product, design, engineering, and business teams.
• Define product metrics and evaluate feature performance.
• Manage product delivery, timelines, risks, and dependencies.
• Work with external technology and service providers.

• Improve internal product development processes.

   

Requirements:

• Experience as a Head of Product, Product Lead, or Senior Product Manager.
• Hands-on experience with blockchain, digital asset, and/or fintech products is required.
• Strong understanding of product discovery, development, and delivery.
• Experience creating product roadmaps and writing clear requirements.
• Understanding of wallets, payments, trading systems, liquidity, custody, and KYC/AML solutions.
• Strong analytical, communication, and leadership skills.
• Experience working with technical teams and external providers.

• English proficiency sufficient for working with international teams and documentation.

   

What We Offer:

• Full-time employment.
• Remote work.
• Flexible working hours.
• Competitive compensation based on interview results.
• Paid vacation and sick leave.
• Direct influence on the product strategy and development.
• Long-term cooperation.

We are looking for a CTO / Solution Architect with hands-on experience in blockchain, digital asset, and/or fintech products to define the technical strategy, design the system architecture, and manage the development team.

Key Responsibilities:

• Design the product architecture and select the technology stack.
• Develop the technical roadmap and plan resources.
• Manage the development team and participate in hiring.
• Evaluate third-party solutions, services, and technology providers.
• Oversee development quality, security, and technical documentation.
• Establish CI/CD, testing, monitoring, and incident response processes.

• Ensure system stability, scalability, and fault tolerance.

   

Requirements:

• Experience as a CTO, Tech Lead, or Solution Architect.
• Hands-on experience with blockchain, digital asset, and/or fintech products is required.
• Understanding of blockchain infrastructure, wallets, custody solutions, liquidity providers, and trading systems.
• Experience designing secure, high-load systems.
• Understanding of microservices and event-driven architecture.
• Experience with cloud infrastructure, Docker, Kubernetes, PostgreSQL, Redis, and message brokers.
• Experience managing technical teams and external contractors.

• English proficiency sufficient for working with documentation and international providers.

   

What We Offer:

• Full-time employment.
• Remote work.
• Flexible working hours.
• Competitive compensation based on interview results.
• Paid vacation and sick leave.
• Direct influence on the architecture, technologies, and team structure.
• Long-term cooperation.

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.