Jobs at Djinni

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 Middle/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.

🟠 Qualifications:

• 3+ 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.

Promin Apps is a product-first company on a mission to help people feel better, move more, and live healthier lives — physically and emotionally.

At the intersection of AI, data, behavioral science, and personalization, we build thoughtful digital products that support fundamental lifestyle changes — from yoga and fitness to better habits and mental well-being.
Now, we’re looking for a user-centric Product Marketing Manager — someone who will drive real growth by deeply understanding the audience, crafting compelling product narratives, and bridging the gap between user needs and business goals.

What to expect:
— Focus on Tier-1 markets (US and others) with strong early traction and growth potential;
— Startup spirit: flat structure, transparency, and true ownership;
— Supportive leadership that values creativity, speed, and initiative;
— Robust infrastructure for rapid experimentation — funnel builder, analytics, and an expanding A/B testing base;
— Collaborate with an experienced UA, Creative Production and PPC team — no need to handle traffic directly;
— Clear career path into Lead, Head of Product, Head of Product Marketing, or General Manager roles as the company scales.

What you will do:
— Own and optimize the full conversion funnel — from onboarding to purchase — with a strong focus on web flows, monetization models, and pricing;
— Design, test, and scale new monetization strategies to outperform market benchmarks and increase ARPU, Conversion, LTV;
— Run A/B tests end-to-end, analyze results, and quickly implement data-driven improvements;
— Research markets, competitors, and user behavior (via interviews, heatmaps, and analytics) to uncover growth opportunities and user pain points;
— Formulate and validate hypotheses across different funnel stages using both quantitative and qualitative data;
— Collaborate cross-functionally with UA, Creative Production, Design, and Analytics to ensure alignment, fast execution, and measurable impact.

What we’re looking for:
— 3+ years of experience in Growth, Product Marketing, or Product roles, including B2C subscription-based products;
— Proven track record in conversion optimization, monetization, and pricing strategy (web experience highly preferred);
— Strong hands-on experience in A/B testing, data analysis, and data-driven decision-making;
— Solid understanding of unit economics, key product and marketing metrics;
— Ability to conduct market and competitor research and analyze user behavior to identify growth opportunities;
— Expertise in launching and scaling products from scratch, owning key growth and marketing processes end-to-end.
— Analytical yet user-centric mindset, with the ability to balance monetization goals and customer value;
— Confident English (B2+)​.

What we offer:
— Work from anywhere with a fully remote setup that adapts to your lifestyle;
— Flexible working hours that align with your most productive rhythm;
— Basic benefits package, including paid vacation, sick leave, and more;
— Personal and professional support, with advocacy available when you need a hand;
— Access to a curated corporate library filled with resources to fuel your continuous learning and development.

We’re not looking for someone to just “join the team” — we’re looking for someone ready to shape the product, lead meaningful growth, and make an impact from day one.
If that sounds like you — send over your CV, and let’s talk!

Affiliate Manager (iGaming) – Join RoyalFlush Affiliates!

We are casino affiliate network, working with top casino brands worldwide. We are looking for an experienced Affiliate Manager with a strong portfolio of T1 and T2 Europe, to join our team and drive high-quality traffic to our partners.

https://royalflushaffiliates.com
 

Responsibilities:

Hunt, Manage, and Build relationships with affiliates.
Develop and execute strategies to maximize affiliate performance.
Negotiate deals and commissions to ensure optimal profitability.
Analyze campaign performance and optimize traffic sources.
Stay up to date with industry trends to identify new opportunities.
 

Requirements:

✅ English B2+

✅ Great written and verbal communication skills.

✅ Proven experience as an Affiliate Manager in the iGaming industry.
✅ Strong portfolio of successful affiliate partnerships and networks.
✅ Knowledge of affiliate marketing platforms, analytics, and tracking tools.
✅ Excellent negotiation and relationship-building skills.
✅ Ability to analyze data and optimize traffic sources.

We are looking for someone that have strong portfolio with active affiliates that will generate over 200+ FTDs per month. 
 

What We Offer:

Competitive fixed salary + high-performance bonuses.
Work with exclusive casino deals and high-payout programs.
Flexible schedule & remote work option.
Growth opportunities in a leading affiliate network.

Ready to take your affiliate career to the next level? Apply now!

Remote work.

Online interview in English!

Why this role exists:

The purpose of this role is to design and implement scalable software solutions, ensuring high-quality delivery within established timelines. The role focuses on solving complex technical challenges, improving engineering practices, and contributing to software reliability and performance. A Senior Developer mentors peers, shares technical expertise, and collaborates with cross-functional teams to deliver solutions that meet business requirements.

What you’ll drive:

Architecture and development

• Designing and implementing scalable and efficient software architectures.
• Writing, testing, and debugging complex code for new and existing software applications.
• Delivering code to production in a timely manner according to business expectations.

Leadership and collaboration

• Providing guidance and mentoring to junior engineers and team members.
• Conducting thorough code reviews to ensure code quality, security, and best practices.
• Managing software development projects, ensuring timely delivery and quality.
• Collaborating with cross-functional teams to design and align technical solutions that meet business objectives
• Communicating effectively with stakeholders on technical concepts.

Engineering processes and quality assurance

• Creating and maintaining comprehensive technical documentation for software development and system design.
• Creating and maintaining comprehensive technical documentation for software development and system design.
• Researching and implementing new technologies and methodologies to improve software performance and development processes.
• Identifying and resolving complex software issues and technical challenges.
• Developing and enforcing testing protocols to ensure software reliability and performance.
• Driving continuous improvement in software development practices and processes.

What makes you a GR8 fit:

Must-have

• Minimum of 5 years of experience in a similar senior engineering role;
• Deep knowledge of JavaScript, TypeScript, React, HTML, CSS, state management libraries, build tools, package managers, and web testing frameworks;
• Experience with microfrontend architectures and Module Federation patterns (Webpack Module Federation, dynamic remote loading, shared dependency management);
• Ability to analyze code, debug complex issues, optimize performance, and develop proofs of concept (PoCs);
• Understanding of web performance metrics and browser performance optimization, including Core Web Vitals (LCP, INP, CLS), FCP, TTFB, TBT, Speed Index, Time to Interactive (TTI), bundle size, and JavaScript parsing and execution performance;
• Understanding of browser internals, SPAs and static websites, client-server architecture, REST APIs, SSR, web security, and UI/UX patterns;
• Effective communication skills with both technical and non-technical audiences;
• Upper-Intermediate English level.

Job Description

Key Responsibilities

Architecture & Delivery: Lead the end-to-end design, implementation, and optimization of enterprise Azure cloud solutions, taking full ownership of project outcomes from concept to production.

DevOps & Infrastructure as Code: Build, maintain, and scale automated CI/CD pipelines and infrastructure deployments using Bicep, Azure DevOps, and modern git-based workflows.

Technical Leadership & Mentoring: Act as a principal-level engineering guide, delegating technical tasks to junior team members, conducting thorough code reviews, and fostering engineering best practices.

Compliance & SDLC Execution: Design and enforce secure software development lifecycles (SDLC) tailored to the stringent security, governance, and audit requirements of a professional services environment.

Stakeholder & Cross-Time-Zone Collaboration: Work directly with senior stakeholders and technical counterparts across EMEA and US Eastern time zones, translating business requirements into robust architectural designs.

Job Responsibilities

Infrastructure as Code: Extensive, hands-on experience using Bicep for provisioning and managing Azure infrastructure.

Domain Experience: Proven track record working within professional services, financial institutions, banking, or similarly regulated environments with strict governance and SDLC standards.

Seniority & Autonomy: Demonstrated background operating as a Principal/Lead Engineer with a proven ability to work independently, manage delivery risks, and drive technical decision-making.

Communication: Great written and verbal English communication skills, with the ability to convey complex architecture concepts to non-technical stakeholders.

Time Zone Flexibility: Based in the EMEA region, with willingness to adjust working hours to support key project partners in the US Eastern Time zone.

Nice to have:

Certifications: Microsoft Certified: Azure Solutions Architect Expert AND Microsoft Certified: DevOps Engineer Expert.

Department/Project Description

We are seeking a high-performing Principal Azure Architect & DevOps Engineer to lead the architecture, automation, and delivery of cloud solutions for one of the world's leading networks of independent assurance, tax and advisory firms.

We are looking for Data Engineer in Kraków, Poland who will own the company data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Domain: Regulated iGaming / wallet & ledger data. Audit-heavy: regulators, finance and analytics all consume the same tables. Millions of financial events per day, terabyte-plus scale.
 

What you'll be doing:

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.
  
  Must-have:
• 3 years' experience in hands-on delivery within that architecture — pipelines, ingestion, models, monitoring
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.

• Python and an orchestrator — Airflow or Dagster, as tools.

   

  Location & work model:

• Kraków, Poland. Hybrid — 2 days per week from the office.

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data Scientist to join our Data Science practice and work directly with customers on complex AI and Machine Learning projects on AWS.

This is not a traditional analytics or research-focused Data Science role. You’ll work across classical ML, fine-tuning, GenAI, multimodal systems, and production ML on AWS, helping customers decide which technical approach actually fits their problem.

You’ll own projects end-to-end: understand the customer’s domain and data, evaluate different solution paths, define the architecture, implement the critical parts, and guide delivery through production.

📍 Work location: remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities

• Own Data Science projects end-to-end: Take customer problems from technical discovery through data analysis, solution design, experimentation, implementation, deployment, and production validation.
• Choose the right technical approach: Evaluate whether a problem should be solved with prompt engineering, RAG, GenAI, agentic workflows, fine-tuning, smaller language models, classical ML, Computer Vision, recommendation systems, or custom model training.
• Work deeply with data: Analyze and prepare customer datasets, identify data quality issues, create representative validation and golden datasets, and ensure the available data can support the chosen modelling approach.
• Build and fine-tune ML models: Train, fine-tune, optimize, evaluate, and deploy models using Python, PyTorch/TensorFlow, SageMaker, and modern ML tooling.
• Work with Generative AI: Build and evaluate GenAI solutions using Amazon Bedrock, RAG, prompt engineering, model selection, agentic workflows, and related AWS-native AI services.
• Use SageMaker in production: Work with SageMaker Studio, training jobs, endpoints, pipelines, model registry, batch inference, monitoring, and other production ML capabilities.
• Design production-ready solutions: Make architecture decisions across quality, latency, cost, scalability, maintainability, observability, and operational complexity.
• Work directly with customers: Participate in technical discovery, workshops, architecture discussions, and delivery conversations with founders, CTOs, engineering teams, and technical stakeholders.
• Challenge technical assumptions: Help customers avoid unnecessary complexity, explain trade-offs, costs and recommend simpler or more effective approaches when appropriate.
• Lead through technical ownership: Independently own projects with minimal supervision and mentor less experienced Data Scientists and engineers when needed.

• Collaborate across teams: Work closely with AI Engineers, MLOps, Data Engineering, DevOps, and Solution Architecture teams on customer solutions that cross multiple technical domains.

   

Requirements

• 5+ years of experience in Data Science, Machine Learning, Applied Science, or a closely related role.
• Strong classical Machine Learning fundamentals and hands-on experience building production ML solutions.
• Deep practical experience working with data, including data preparation, validation, feature engineering, dataset construction, and model evaluation.
• Strong Python skills and hands-on experience with PyTorch and/or TensorFlow.
• Strong practical experience with AWS SageMaker beyond notebook-level usage, including model training, deployment, inference, pipelines, or production operations.
• Hands-on experience with Amazon Bedrock and modern Generative AI approaches.
• Practical experience with fine-tuning models and understanding when fine-tuning is preferable to prompting, RAG, or other approaches.
• Experience in at least one strong ML domain such as NLP, Computer Vision, recommendation systems, forecasting, structured ML, multimodal ML, or similar.
• Understanding of RAG, embeddings, prompt engineering, foundation models, and agentic workflows.
• Strong understanding of MLOps and production ML practices, including model deployment, monitoring, reproducibility, lifecycle management, and CI/CD.
• Experience designing and owning solutions independently rather than working only from predefined technical specifications.
• Strong customer-facing communication skills and ability to explain technical trade-offs clearly.
• Ability to work with ambiguity, messy real-world data, and changing customer requirements.

• Strong technical judgment and a pragmatic approach to balancing model quality with delivery speed, cost, and business value.

   

Nice to have

• Experience with AgentCore, Bedrock Agents, LangGraph, Strands Agents, or other agentic frameworks.
• Experience with Small Language Models or domain-specific model adaptation.
• Experience with recommendation systems, audio ML, signal processing, or multimodal systems.
• Experience in technical consulting, pre-sales, or customer discovery.
• AWS Machine Learning certifications.
• Master’s degree or PhD in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field.

What Success Looks Like in Year One

• Independently owns assigned data projects end-to-end, from understanding the problem and making technical decisions to implementation, troubleshooting, testing and successful delivery, with minimal supervision.
• Has built strong practical expertise across the team’s core data stack and can confidently work across different customer environments, including Spark, Python/SQL, data lakes/lakehouses, analytical and NoSQL databases, streaming and other technologies used by the team.
• Can investigate unfamiliar data problems independently, identify performance or data-modeling issues, understand upstream/downstream dependencies, and recommend pragmatic solutions to customers.
• Continuously expands technical depth, keeps up with modern Data technologies and patterns, and can quickly learn new technologies as customer projects and the Data practice evolve.
   

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.