Jobs at Djinni

We are looking for a Graphic Designer/UX Designer to join our team!

We are a B2B Marketing & Communications agency working with high-profile international clients, meaning you will have different, exciting projects allowing you to further develop and widen your skills!

The role requires experience in Figma, Adobe XD, InDesign, Photoshop, Illustrator, and other packages within the Adobe Suite and Figma, as well as 3+ years of experience, preferably within brand and/or digitally-led, creative agencies.

Your responsibilities will vary from branding, presentations, marketing, and digital work. In doing so, you will work in the areas of web design, brochure design, flyer design, logo design, social media design, and many more, while working closely with the PM Team and clients to produce content for their websites, and social platforms, and email campaigns.

Responsibilities:

• Study design briefs and determine requirements

• Conceptualize visuals based on project requirements

• Prepare rough drafts and present ideas

• Develop illustrations, logos, and other designs

• Work with copywriters and creative team to produce the final designs

• Test graphics across various media

• Ensure final graphics and layouts are visually appealing and on-brand

Required Skills:

• 3+ years of experience

- AI Skills/Claude Design

• Good understanding of B2B Communications

• Good written and verbal English is mandatory

• Great Design skills

• Experience in the digital marketing environment

• Commercially minded

• Highly creative

• Passion & Drive for Design

• Good verbal communication skills

• Great organizational skills

What do we offer:

• Work in a great team atmosphere

• Good remuneration package

• Team Buildings

• Creative space to develop and grow your Graphic Design style and abilities

Job Description

Must have:

• Strong experience in software testing and infrastructure/platform automation, particularly in Linux-based environments
• Strong knowledge of Linux/Debian internals, including OS packages, system services, and system-level troubleshooting
• Hands-on experience designing, implementing, and maintaining reproducible build and CI/CD pipelines
• Proficiency in Bash and Python for automation, scripting, and test tooling
• Experience deploying and validating software on bare-metal Linux environments
• Understanding of systemd units, system services, and their validation
• Strong troubleshooting skills, including the ability to investigate build failures and OS-level issues
• Very good English language skills, at least B2 level (both written and spoken) 

Nice-to-have (winning skills):

• Experience with ARM-based environments
• Familiarity with ARM cross-compilation
• Understanding of Linux kernel build and packaging processes
• Experience with performance and stability testing of Linux-based systems
   

Job Responsibilities

• Design, implement, and maintain reproducible build pipelines for ARM Linux kernel and Debian system packages
• Adapt existing build and qualification processes to support the introduction of a new ARM-based hardware platform
• Validate the integration of essential OS components, including systemd units, system services, and monitoring components
• Develop and maintain Bash- and Python-based automation supporting build, deployment, and validation activities
• Deploy builds to bare-metal lab machines and execute extensive qualification tests to prove hardware stability and QEMU/KVM functionality..
• Verify that monitoring and performance-related metrics operate correctly on the new hardware platform
• Troubleshoot build and deployment failures and investigate Linux OS-level issues
• Collaborate closely with kernel and platform engineers to identify and resolve issues discovered during ARM platform rollout
• Contribute to ensuring stable, reproducible, and production-ready Linux builds for the new hardware environment
   

Department/Project Description

We are looking for an experienced Senior Software Development Engineer in Test (SDET) – Pipeline Engineer to join our Kernel Team, responsible for the low-level operating system components and custom Linux kernel builds powering a large-scale infrastructure environment.

The project focuses on introducing a new generation of ARM-based servers into the existing platform. The team is responsible for building robust and reproducible pipelines, verifying QEMU/KVM functionality and qualifying Debian-based system builds, and validating their operation on physical hardware.

As part of the team, you will work at the intersection of QA, Linux engineering, CI/CD, and infrastructure automation. You will build and maintain pipelines, automate system validation, deploy builds to bare-metal environments, and ensure that critical OS services and monitoring components operate reliably before the platform reaches production.

This role is particularly suited to an engineer who enjoys working close to the operating system and hardware, rather than focusing solely on application-level test automation.

Key responsibilities:

• Manage TikTok Shop and Seller Center: products, listings, variations, categories, and catalog
• Ensure product listings stay accurate and up to date, and monitor stock availability
• Track key metrics and operational processes
• Build and improve processes within TikTok Shop
• Coordinate with marketing, content, sales, and other related teams
• Take part in scaling TikTok Shop and improving the channel's efficiency
• Partial oversight of TikTok Shop Affiliate: coordinating processes, monitoring metrics, and working with the Affiliate Manager

Affiliate sourcing and outreach, as well as growing the Discord/community side, are handled by a separate specialist.

What matters to us:

• Hands-on experience with TikTok Shop and Seller Center
• Understanding of e-commerce processes and catalog management
• Experience with stock/inventory and operational processes
• Structured, self-driven, and detail-oriented approach
• Ability to manage a high volume of tasks and build clear processes

Nice to have:

• Experience with TikTok Shop Affiliate
• Experience working with creators and affiliates
• Experience scaling sales through TikTok Shop or other e-commerce platforms

We're looking for someone who can own this direction end-to-end: keep key processes under control, spot issues early, and help grow TikTok Shop into a full-fledged sales channel.

We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.

Requirements

• 3+ years of commercial experience in Data Engineering
• Experience gathering business requirements and communicating with stakeholders
• Strong knowledge of Data Warehouse (DWH) architecture and principles
• Hands-on experience designing data warehouses and building ETL pipelines
• Deep practical experience with Python
• Hands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs
• Proficiency in SQL and relational databases such as PostgreSQL and MySQL
• Hands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)
• Solid understanding of software design patterns, algorithms, and data structures
• Intermediate English proficiency

Will be a plus

• Experience with messaging platforms such as RabbitMQ or Kafka
• Familiarity with DataOps practices and data pipeline automation
• Familiarity with CI/CD pipelines and Kubernetes environments
• Background in FinTech or Trading domains

Responsibilities

• Communicate with technical and non-technical stakeholders to gather and clarify business requirements
• Review and analyze data and business logic to ensure consistency, accuracy, and reliability
• Design, implement, and maintain data pipelines for efficient and scalable data processing
• Integrate, maintain, and support data solutions and third-party data sources
• Research and evaluate third-party tools, services, and components for potential use
• Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery
• Design, optimize, and maintain data storage solutions

What we offer:

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a strong Team Lead of Affiliates to join an international company operating in the Nutra vertical across European and Latin American markets.

What you’ll do

• Build, develop and manage an Affiliate team of 3–4 people
• Hire, onboard, motivate and mentor Affiliate Managers
• Develop and grow relationships with international webmasters and partners
• Scale traffic volumes and expand the partner network
• Support Affiliate Managers with launches and day-to-day challenges
• Monitor traffic performance, analyze data and optimize key metrics
• Resolve partner-related issues and maintain a high level of service
• Attend industry conferences and develop new partnerships

What we’re looking for

• 1–2+ years of experience in Nutra
• 2+ years as a Team Lead of Affiliates or comparable management experience
• Proven experience working with international markets and foreign partners
• Experience managing a team of 3+ people
• Strong expertise in working with webmasters and traffic sources
• Solid knowledge of Facebook and SEO traffic
• Strong analytical skills and a data-driven approach
• Experience with European teams/webmasters is highly preferred
• Experience with Asia, LATAM, the US or UAE is a plus
• English — B2+
• Ukrainian and Russian — C1+
• Willingness to travel to industry conferences

What we offer

• Fully remote position
• Monday–Friday, start between 09:00 and 10:00 Kyiv time
• 9-hour working day (8 working hours + 1-hour break)
• KPI linked to the team's traffic performance
• 28 paid calendar days of vacation per year
• Paid sick leave
• 5 additional days off per year
• Corporate English lessons
• Gym compensation

Job Overview

We are looking for a Product Manager who will be responsible for the development and optimization of the Sportsbook direction across partner products. The role is focused on working with partners, analyzing competitors and user behavior, implementing new features, improving retention, and increasing overall product performance across different GEOs.

Who are we?

We’re DATA.BET — a product-driven IT company transforming the world of sports, esports, and virtual betting with our innovative sportsbook solution. Since 2017, we’ve been building tech that directly shapes the industry. Our team of experts blends hands-on experience with AI technologies to deliver cutting-edge solutions that set new standards in betting.

Our key products — Odds Feed, AI-powered risk management system, and fast Single Page Application — help partners gain stable profits and a competitive advantage. Our team consists of more than 250 professionals.

Excited by the idea of being part of a fast-moving industry on the rise? Want to help shape trends and build a next-gen product that’s redefining the future of betting? Then join us — and share our passion for sports and tech!

What you’ll be doing:

• Configure and operate the Sportsbook part of partner products
• Analyze competitors and identify the strengths and weaknesses of their products
• Analyze competitors’ bonus offers and develop proposals tailored to specific GEOs
• Communicate with partners and handle their requests
• Enable and roll out new features for partners
• Analyze retention metrics and implement tools to improve retention
• Work with partners on A/B testing and UI customization
• Conduct user interviews with end users of the products

What we’re looking for:

• 2+ years of Product Manager experience (Sportsbook is a plus)
• Experience working with B2B partners or clients
• Strong analytical skills and experience working with product metrics such as retention, conversion, and engagement
• Experience with competitive analysis and developing product proposals
• Experience with A/B testing and a data-driven approach to decision-making
• Understanding of UX/UI principles and experience with product customization
• Experience collecting and analyzing user feedback, including conducting user interviews
• Strong communication skills and experience working with stakeholders
• Upper-Intermediate English or higher

What We Offer:

Your wellbeing and a comfortable work environment are our top priorities:

• Flexible schedule & work format (office/remote/hybrid): work where and when you feel most productive.
• 20 paid + 15 unpaid vacation days: take time off whenever you need to reset.
• An extra day off on your birthday — celebrate it your way!
• Medical insurance: take care of your health with extended coverage (available in Ukraine only).
• 22 sick days: 8 days without a doctor’s note (for sick leave or mental health), 10 with a note, plus 4 Personal Days per year — for personal matters, when it is necessary.
• Gifts and bonuses for life’s big moments: weddings, new babies, kindergarten support (available in Ukraine only).

What to expect next:

HR Interview ➡ Technical Interview ➡ Final Interview ➡ Background Check ➡ if we’re a match = Job Offer.

Ready to level up?

Apply now — we’re waiting for you!

Team Summary

We are a Data Collection team focused on improving smart home devices and features through high-quality data. The data we collect supports machine learning training, evaluation, testing, and performance benchmarking, helping teams develop new capabilities and improve detection quality for customers. We recreate real-world scenarios and edge cases in various indoor and outdoor environments using both production and pre-release devices. We also perform comparative analysis of device motion detection performance across different generations, generating insights that help determine device readiness for mass production.

Job Summary

We are seeking an adaptable and innovative Data Collection Engineer to oversee field operations, akin to debugging and shooting on set. This position is perfect for a hands-on problem solver who excels in dynamic environments and is enthusiastic about working directly with devices at various stages of development. The ability to maintain resilience in unpredictable field conditions is a crucial skill, as you will collaborate closely with cross-functional teams and third-party vendors to enhance performance and detection quality.

Responsibilities and Duties

• Conduct end-to-end data collection using test devices across predefined scenarios and custom action setups
• Independently prepare field locations, including device placement and field-of-view optimization based on environmental conditions
• Perform immediate on-site technical troubleshooting, partnering with Quality Support Engineer when required
• Coordinate third-party providers (vehicles, locations, actors, pets) to ensure correct execution of scenarios
• Mitigate on-site operational risks and align with Project Coordinator on resource constraints

• Document results, issues, and field observations, and drive improvements in data collection efficiency and automation

   

Qualifications and Skills

• Hands-on experience with technical equipment, tools, hardware installations, or field operations. Experience with smart home, home automation or security systems would be a big advantage
• Good understanding of network setup, Wi-Fi configuration, and basic troubleshooting (routers, access points, local networks)
• Strong teamwork, cross-functional collaboration, and high adaptability to changing environments
• Clear and effective communication
• Excellent time management, self-organization, and multitasking skills
• At least A2-B1 level of spoken English

• A confident PC user with robust skills in Google Suite.

   

Nice to have

• Quality Assurance experience (hardware or software testing)
• Working knowledge of UNIX/Linux environments and command-line basics

• Basic scripting skills (bash, python)

   

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member.
• Competitive compensation and perks. Annual performance review.
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company.
• Gig-contract.
• 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation.
• Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves.
• Medical insurance is provided from day one. Sick leaves and medical leaves are available.
• Free meals, fruits, and snacks when working in the office.

🟠 Details: we are looking for a Senior Computer Vision & Machine Learning Engineer to join our team and work on innovative AI and Computer Vision solutions for international clients.

One of the projects you may join focuses on developing an AI-powered system for extracting structured spatial data from 2D and 3D floor plan imagery. It is a practical, R&D-driven project involving room detection, layout extraction, area estimation, and solving real-world computer vision challenges such as perspective distortion, occlusion, and scale estimation.

The position can be either full-time or part-time, depending on the candidate’s level of expertise and relevant hands-on experience with similar CV/ML workflows.

🟠 Qualifications:

• 4+ years of hands-on experience in Computer Vision & Machine Learning.
• Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
• Experience with OpenCV and classical computer vision techniques.
• Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
• Strong Python engineering skills.
• Experience with polygon/vector processing tools such as Shapely, OpenCV contours, or similar geometry libraries.
• Ability to work with imperfect visual inputs and design robust fallback logic.
• Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
• Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:

• Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
• Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
• Experience with depth models such as MiDaS or Depth Anything.
• Experience with synthetic data generation or image-to-image normalization workflows.
• Experience building ML evaluation and observability pipelines.
• Experience integrating ML pipelines into backend services or APIs.
• Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:

• Design and implement a render-to-plan pipeline for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
• Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
• Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
• Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
• Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
• Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
• Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
• Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:

• Screening with the recruiter (about 45 minutes).
• Take-home task.
• Technical interview with ML/CV Engineer and PM (about 1 hour).

CoreWillSoft GmbH is a German-based company working on secure IoT software solutions and services. The mission of CoreWillSoft is to help businesses protect their assets, employees, and data by providing advanced software solutions and services in the security industry. 

We are looking for a Full-Stack Software Engineer with strong backend experience in Kotlin/Java and either: 

• solid Frontend (React) expertise, or 
• experience in Kotlin Multiplatform / Android development 
   

You will work on products used by businesses across Western Europe and North America. 

Our team operates in a scaled agile approach across Europe with a headquarter in Bonn, Germany. It is responsible for the complete software development lifecycle; including ideation, implementation, and operation of the secure IoT software operating smart buildings and smart homes across the world. 

This is an exciting opportunity to work on cutting-edge projects involving high-security hardware and technology in a creative, international environment. 

We offer: 

• Meaningful Impact: Build solutions that are used every day by thousands of businesses your work will directly improve real-world security and connected device experiences.  
• Product & Process Ownership: Help shape not only the product, but also how we build and deliver it  your ideas and decisions will have visible impact.  
• Industry Influence: Contribute to key security standards and best practices, staying ahead of the curve in a fast-evolving industry.  
• Modern Tech Stack & Hardware: Work with the latest hardware and the tools you need to do your best work.  
• Time Off & Flexibility: Vacation days, paid sick leave, and public holidays in line with German legislation plus flexibility built around outcomes, not micromanagement.  
• Learning & Development Budget: We support continuous growth by covering hard and soft skills courses, trainings, and access to e-learning platforms.  
• Coworking Support: Prefer not to work from home every day? We offer coworking compensation so you can choose the environment that fits you best.  
• Language Learning Support: Monthly fixed compensation you can use to improve your English or German through the learning format of your choice.  
• Strong Team Culture: Open collaboration, a flat structure, and thoughtful onboarding your voice is heard, and you can make an impact from day one. 

Your skills: 

Backend: 

• Proficiency in Kotlin and/or Java for backend development.  
• Strong experience with Spring Boot framework.  
• Experience with Docker and containerized applications.  
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.  
• Experience in designing and consuming RESTful APIs.  
• Knowledge of microservices architecture and patterns.  
• Experience with on-premise and cloud-based deployments.  
• Proficiency in secure coding practices and understanding of security best Ko practices for backend systems.  
• Familiarity with scalability strategies and performance optimization in backend services.  
• Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, ELK).  
• Knowledge of cryptography and security  
• Familiarity with CI/CD processes, including GitHub Actions, GitLab CI, or similar tools.  
• Experience with version control systems (e.g., Git).  

• Experience with database technologies, both relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB). 
  
  Frontend (one of the following paths is required) 

  Option 1 – Web Frontend: 

• Strong experience with React.js or Angular or Vue 
• Solid knowledge of TypeScript / JavaScript, HTML5, CSS3 
• Experience with modern tools (Vite, Webpack, npm, etc.) 

• Understanding of state management (e.g., Redux) 

  
  Option 2 – Mobile / Multiplatform: 

• Experience with Kotlin Multiplatform and/or Android development 
• Strong knowledge of Kotlin Coroutines and Flow 
• Experience with Jetpack Compose (or Compose Multiplatform) 
• Familiarity with dependency injection frameworks (e.g., Koin) 
• Experience with networking libraries such as Ktor

Nice to have: 

• Experience building desktop applications 
• Experience with Kotlin Multiplatform in production 
• Knowledge of modern Kotlin ecosystem (Coroutines, Flow, Compose, Koin, Ktor) 
• Knowledge of additional programming languages 
• Experience with system architecture and distributed systems 
• Understanding of UI/UX design and performance optimization 
• Knowledge of building automation or access control systems 

Responsibilities

• Designing schematics and PCB layouts for robot subsystems, docking stations, and production tooling;
• Circuit design of individual blocks: microcontroller support circuitry, sensor signal chains, interfaces (SPI, I²C, UART, CAN, USB, Ethernet), power and switching circuits, application of standard BLDC motor and pump drivers;
• Preparing boards for production (DFM, Gerber, BOM), working with contract manufacturers, sourcing components and alternates;
• Prototyping: soldering and assembling samples, board bring-up with test firmware written in C for STM32, taking measurements and reworking the design based on test results;
• Assembly and electrical installation of robots and docking stations: boards, drives, sensors, cable harnesses, commissioning against a checklist;
• Fault diagnosis down to the subsystem, board, or component level, and remote repair support — guiding a technician or customer through step-by-step replacement instructions;
• Maintaining technical documentation and code in version control; feeding field experience into subsequent board revisions.

Requirements

• Higher technical education (electronics, radio engineering, automation, instrumentation, or similar);
• Confident analog and digital circuit design: understanding how a circuit actually works, not just how to draw one from an app note;
• Experience developing multilayer boards (power and ground planes, signal routing, thermal behavior) and deep knowledge of Altium Designer, KiCad, or equivalents;
• Power circuits and drives: switching converters, LiFePO4 packs, protection circuits, current sensing, BLDC motors with standard drivers, encoders;
• C programming for STM32 at the board bring-up level, and confident use of Git;
• High-quality fine-pitch SMD and THT soldering; confident use of an oscilloscope, multimeter, bench power supply, and logic analyzer;
• Methodical fault-finding down to the component level — working from symptoms and measurements rather than swapping parts at random; ability to read datasheets and verify parameters by calculation;
• Familiarity with the challenges and specifics of both small-batch and mass production.

Nice to have

• Experience in robotics, mobile platforms, or battery-powered portable devices;
• Experience in servicing or providing technical support for complex equipment;
• Work with CAN, RS-485, and other industrial interfaces;
• Experience designing assemblies that operate in wet environments or under vibration.

What we offer

• Official employment, work in a comfortable office with high-quality, modern equipment (flexible schedule, 40-hour work week);
• Deferment from mobilization for employees liable for military service;
• Plenty of interesting and challenging work that will keep you growing professionally;

Why Somatic

If you are an engineer who values precision, quality design, and creative thinking in a practical, real-world context, we encourage you to apply. Join us at Somatic and help shape the future of robotics through creative, elegant, and reliable engineering solutions. Work with amazingly strong teammates in a merit-based environment.

Description

Project Overview
GlobalLogic is partnering with a client, a global leader in in-vitro diagnostics and medical devices, to execute a critical compliance and software remediation initiative. We are building a dedicated team to retrospectively update the Design History File (DHF) for legacy medical device software, ensuring full compliance with modern FDA regulations and IEC 62304 standards.

Position Overview
We are looking for a Senior Software Architect or highly experienced Lead Software Engineer with a strong background in technical documentation and reverse-engineering. In this role, you will lead the remediation of the Software Architecture and Detailed Design documentation for an existing medical device. You will act autonomously to reconstruct system blueprints—mapping out components, interfaces, and data flows—while utilizing the existing development team primarily as Subject Matter Experts (SMEs) and reviewers.

Requirements

Experience: 10+ years of experience in software engineering, with at least 3+ years acting as a Software Architect, Lead Developer, or Systems Designer.

Code Literacy: Exceptional ability to read, navigate, and comprehend large, complex, and legacy codebases (experience with C++, C#, Java, or Embedded C is highly preferred).

Modeling & Diagramming: High proficiency in UML, SysML, or similar modeling languages to visually represent architectures, sequence diagrams, and component relationships using tools like Enterprise Architect, MagicDraw, or Visio.

Technical Writing: Excellent technical writing skills with the ability to translate complex software behaviors into clear, formal, and audit-ready documentation.

Autonomy: Strong ability to work independently, driving the documentation process proactively rather than relying on others to supply the architecture.

Job responsibilities

Architecture Reconstruction: Reverse-engineer and deeply analyze existing legacy software to thoroughly understand its structure, behaviors, and design paradigms.

Documentation Leadership: Lead the creation and remediation of formal Software Architecture and Software Detailed Design documents in alignment with IEC 62304 requirements.

System Mapping: Accurately document software components, internal and external interfaces, complex data flows, state machines, and system dependencies.

Design Rationale: Identify, capture, and document key historical design decisions and their rationales.

SME Collaboration: Conduct targeted technical interviews and code review sessions with the current development team to extract necessary architectural knowledge without disrupting their daily operations.

Regulatory Alignment: Ensure that all architectural documentation supports risk management mitigations (ISO 14971) and integrates seamlessly with the broader DHF remediation effort.

Nice to Have:

– Familiarity with in-vitro diagnostic (IVD) systems or embedded hardware-software interfaces.

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for a Marketing Lead for Forge Point.

Location: Remote
Job Type: Full-Time

 

The company

Forge Point is an all-in-one SEO infrastructure management platform built for iGaming operators. They give teams the tooling to run large-scale SEO operations from a single control layer, with three core products: a keyword live tracker for real-time ranking visibility, infrastructure automation for domains, auto-redirects and ban detection, and instant website & satellite building that ships content, tech, and UI/UX in one flow.

They're scaling our go-to-market, and we're looking for a person who can turn that product strength into a predictable B2B pipeline.

 

The role

This is a hands-on Operational Marketing Manager role for someone with a strong B2B marketing background who is equally comfortable building demand and running the operational engine behind it. You'll own the pipeline end to end — from generating demo calls and nurturing leads to keeping the CRM clean — while acting as the connective tissue between Product, Development, and Sales.

You won't be handing work off to a big team. You'll be doing the work, setting up the systems, and making sure the right message reaches the right operators at the right time.

 

What you'll own

• Pipeline generation. Build and run the B2B pipeline end to end — identify target iGaming operators, drive inbound and outbound demand, and consistently generate qualified demo calls.
• CRM & marketing ops. Own the CRM (setup, hygiene, segmentation, workflows and reporting) so every lead is tracked and no opportunity leaks.
• LinkedIn strategy. Own organic and outbound LinkedIn — company presence, founder/team amplification, and targeted outreach that books meetings.
• PR & positioning. Own the PR strategy: narrative, media and community relationships, and thought-leadership that builds Forge Point's authority in iGaming SEO.
• Cross-functional glue. Act as the operational connecting chain between Product, Dev, and Sales — translating product capability into messaging, feeding market signals back into the roadmap, and keeping sales equipped.
• Reporting. Track the funnel and channel performance, and report on what's working with clear, decision-ready numbers.
  
   

What we're looking for

• Proven, hands-on B2B marketing experience — you've personally built and run a pipeline, not just managed one.
• A track record of generating qualified demo calls and moving leads through a funnel to sales.
• Strong command of CRM tools and marketing operations (segmentation, automation, reporting).
• Demonstrated ownership of LinkedIn as a demand and outreach channel.
• Experience shaping and executing PR / thought-leadership strategy.
• An operational, systems-minded approach — comfortable connecting Product, Dev, and Sales and keeping things moving.
• Excellent written English and Ukrainian and the judgement to speak credibly to a technical, operator audience.
  
   

A strong plus

• Experience in iGaming B2B marketing and familiarity with the operator landscape.
• Hands-on with SEO tools — Semrush, Ahrefs, Google Search Console or similar.
• Understanding of SEO infrastructure concepts (domains, redirects, satellites, ban/indexation dynamics).
   

Why join Forge Point

• Real ownership — you'll build the go-to-market engine, not inherit someone else's process.
• A category-defining product in a fast-moving, high-margin vertical.
• Direct access to founders, product, and engineering — short path from idea to shipped.
• Remote-friendly setup and a team that values people who get things done.

What’s next?

If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.

We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Join Sigma Software to build large-scale data infrastructure powering a real-time AdTech platform processing hundreds of millions of auction requests daily. We are looking for a Senior Data Engineer who enjoys solving complex distributed data challenges and building production-grade ML-oriented data systems.

You will become part of a dedicated Sigma Software team developing predictive modeling and optimization capabilities for a live advertising ecosystem. The role combines large-scale event processing, streaming and batch pipelines, experimentation infrastructure, and high-throughput data engineering in a cloud-native environment.

We as a company offer the opportunity to work on impactful global products, collaborate with experienced engineers, and contribute to architecture decisions while growing your expertise in large-scale distributed systems and modern data platforms.

Customer

Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a large-scale ad exchange handling hundreds of millions of auction requests per day and is actively investing in predictive decisioning technologies to optimize advertising outcomes in real time.

Project

The project focuses on building a predictive modeling and optimization platform on top of a live ad exchange environment. The platform performs real-time supply scoring and filtering, contextual performance estimation, look-alike audience generation, and multi-objective optimization under business constraints.

The solution processes massive-scale event and auction datasets and includes feature engineering pipelines, streaming and batch ingestion, experimentation infrastructure, point-in-time-correct training data generation, and ML-oriented data services with strict operational reliability and compliance requirements.

Requirements

• 5+ years of experience in Data Engineering
• At least 2 years of experience working with production ML or large-scale analytics pipelines
• Expert-level SQL skills including window functions and incremental processing patterns
• Strong Python skills for production-grade pipeline development
• Hands-on experience with Spark or PySpark
• Experience designing ETL / ELT pipelines with Airflow, Cloud Composer, Dagster, or similar tools
• Experience working with cloud data warehouses at scale, preferably BigQuery
• Strong understanding of data modeling and point-in-time correctness
• Experience working with event-driven or clickstream datasets at very large scale
• Experience supporting business-critical production pipelines

• Upper-Intermediate English level or higher

   

WILL BE A PLUS

• Experience with GCP services including Dataflow, Pub/Sub, GCS, and Beam
• Experience building streaming or near-real-time ingestion systems
• Understanding of feature stores, train/serve skew, and label leakage prevention
• Experience in AdTech or auction-based environments
• Experience handling delayed or incomplete labels in ML systems
• Experience with dbt or similar transformation frameworks
• Experience delivering solutions into Customer-owned infrastructure
• Knowledge of GDPR/CCPA-related privacy engineering practices
• Experience with experimentation infrastructure and statistical validation pipelines
• Experience working in hybrid cloud/on-prem Linux environments
• Terraform and Kubernetes experience

• Experience optimizing warehouse cost and performance

   

Personal Profile

• Strong analytical and problem-solving skills
• Ownership-oriented mindset
• Ability to work independently in a client-facing environment
• Strong communication and documentation skills
• Comfortable working in a fast-paced engineering environment
• Collaborative and proactive attitude

Responsibilities

• Write and defend diagnostic SQL queries against large-scale production datasets
• Build and maintain ingestion pipelines for bid, win, and impression logs into BigQuery
• Harmonize fields across independently designed datasets and maintain versioned field mappings
• Develop point-in-time-correct feature tables and aggregation pipelines
• Design and maintain conversion and labeling pipelines with delayed label handling
• Own the data serving write path, schema contracts, publishing flows, and freshness SLOs
• Build experimentation infrastructure including traffic splitting and reporting pipelines
• Perform large-scale historical backfills and safe reprocessing after mapping changes
• Implement data isolation and safe-aggregation controls for advertiser data protection
• Develop automated data quality validation frameworks
• Collaborate closely with Customer engineers and prepare operational documentation
• Contribute to architecture discussions and platform scalability improvements

N-iX is seeking an experienced Senior Project Manager/Scrum Master for a hybrid, multi-stream role that combines account management support, agile team leadership, SAFe consulting, and end-to-end delivery of solution-based projects. The role spans staff augmentation engagements and solution delivery in a sophisticated multi-vendor enterprise environment, requiring someone who can establish robust delivery frameworks, coach teams to excellence, and advise the client on scaled agile practices. A solid technical understanding of IT is essential, as the managed streams have a significant technical component.

Responsibilities:

• Supervise solution-based projects end-to-end: Discovery, MVP, release, and support
• Lead PMP-grade project management covering scope, schedule, budget, risk, and cross-functional dependencies
• Act as Scrum Master for dev teams, facilitating ceremonies, removing impediments, and tracking metrics
• Consult clients on SAFe implementation, PI planning, ART coordination, and hybrid delivery frameworks
• Support account management for staff augmentation teams, managing team health, utilization, and escalations
• Maintain technical dialogue with engineers and assess enterprise system integration risks
• Drive hands-on GenAI adoption in management workflows (reporting, planning) and coach teams on AI-assisted practices
• Serve as primary contact for senior stakeholders, delivering transparent status reports and strategic roadmaps

Requirements:

• 5+ years combined experience in Project Management and Scrum Master roles
• Proven track record in end-to-end solution delivery, hybrid (Waterfall/Agile) environments, and staff augmentation models
• Hands-on experience within SAFe environments and multi-vendor governance setups
• Strong technical background covering SDLC, software architecture, enterprise integrations, and DevOps/CI-CD
• Practical experience applying GenAI tools to management workflows and delivery optimization
• Proficiency with standard project management tooling (Jira, MS Project, Monday.com, etc.)
• Excellent executive presentation, stakeholder management, and analytical skills
• At least Upper Intermediate English level.
   

Preferred Qualifications:

• PMP, CSM/PSM, or SAFe certifications
• AWS certification (Cloud Practitioner or Solutions Architect)
• Hands-on technical background (prior engineering/IT role)
• Consulting background or experience in enterprise software for industrial/manufacturing sectors

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.