Jobs at Djinni

We’re looking for an Anti-Fraud Specialist to build and own the company’s risk and fraud prevention system from scratch. This role combines strategic thinking and hands-on execution you’ll design the full fraud-contour, implement risk rules, and protect product economics without damaging conversion and retention.

You’ll work closely with the CEO, PSP Manager, Product, and Marketing teams to ensure sustainable growth and PSP stability on the US Sweepstakes market.

💪 Key Responsibilities:
✅ Build and own the full risk lifecycle:
✅ Develop and implement a unified fraud detection system integrating:
PSP risk signals, chargebacks, BIN & velocity checks, device fingerprinting, IP/proxy/geo data, KYC signals, affiliate sources, and in-product behavioral data.
✅ Create and manage risk-scoring models and fraud profiles for all users.
✅ Design and optimize:
- Auto-block rules
- Withdrawal holds
- Manual review flows
- Bonus eligibility logic
- Geo & device restrictions
✅ Monitor and improve fraud economics.
✅ Collaborate with PSP to maintain healthy processing metrics and reduce AML/chargeback risks.
✅ Work with Product to close UX and bonus exploitation gaps.

🔥 Skills & Competencies:
✔️ iGaming and US Market Experience 
✔️Experience working with antifraud tools, device/IP/geo systems, and PSP logs.
✔️ Ability to work with SQL/BI tools at analytical level.
✔️ Experience building risk rules, thresholds, and scoring models.
✔️ Ability to make tough decisions and challenge marketing/product when necessary.
✔️ English B2 or higher.

⭐ Nice to Have

Experience in US Sweepstakes or Social Casino products.
Experience building antifraud systems from zero in startups.
Knowledge of AML processes and PSP health metrics.
Experience working with affiliate-heavy traffic.

✨What We Offer:

• Full remote work
• Flexible working hours (start between 10:00 and 12:00)
• 8 hour work day + break
• Time Off 28 calendar days of paid vacation (after successfully passing the probationary period)
• 4 days of days off

We are looking for a Middle System Analyst to join the Fintech Core project — a white-label modular fintech platform enabling rapid launch of digital banking and payment products. In this role, you will define system architecture, integration designs, and technical specifications for a scalable, PCI DSS–compliant financial platform serving multiple global implementations. You will work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical documentation, ensuring high-quality, secure, and compliant system design across microservices-based architecture.

Details

Project: Fintech Core (White-label Digital Banking Platform)

Employment Type: Full-time

Start Date: ASAP

Work Format: Remote

Language Requirements: English – Upper-Intermediate+

About the Project

Fintech Core is a mature, actively evolving modular fintech platform designed to launch neobanks, digital wallets, and payment systems within 3 months.

The platform includes:

• General ledger system
• Middleware layer
• Mobile (iOS/Android) & Web applications
• Integrations with KYC/AML providers, card issuers, payment processors
• Compliance monitoring modules
• Built on microservices architecture, the platform supports:
• Multi-currency operations
• Cross-border transactions
• Card issuing
• Digital wallets
• Account & transaction management
• Back-office orchestration
• The solution is PCI DSS compliant and aligned with global regulatory frameworks.

Key Responsibilities

• Analyze and document system requirements across payments, cards, wallets, accounts, ledger, and compliance modules

• Translate business requirements into:

  Technical specifications

  API contracts (REST / OpenAPI)

  Database schemas

  Integration architectures

• Design data models, ER diagrams, and data flow diagrams for transactional systems

• Define integration patterns with:

  Payment processors

  KYC/AML providers

  Card networks

  Open Banking platforms

• Create sequence diagrams, component diagrams, and deployment architecture documentation
• Define non-functional requirements (performance, security, audit, retention policies)
• Conduct technical workshops with Engineering teams
• Maintain traceability between requirements, specs, implementation, and testing
• Support QA with integration test scenarios and acceptance criteria
• Ensure compliance with PCI DSS, GDPR, PSD2 and financial security standards
• Participate in sprint planning and architecture review sessions

Requirements

• 3+ years experience as System Analyst / Technical Analyst in fintech or banking
• Strong understanding of: General ledgers, Payment processing, Account management systems
• Experience with microservices architecture and distributed systems
• Strong API design knowledge (REST, OpenAPI/Swagger, webhooks)
• Experience with database modeling for transactional systems
• Understanding of event-driven architectures and message queues
• Familiarity with ISO 20022, SWIFT, SEPA, card schemes
• Knowledge of OAuth, JWT, API keys
• Cloud architecture understanding (AWS / Azure / GCP)
• Strong documentation skills (UML, BPMN, ERD, sequence diagrams)
• Experience with Confluence / Notion

Domain Knowledge

• Core banking concepts: accounts, balances, reconciliation
• Domestic and cross-border payment flows
• Card issuing and digital wallet mechanics
• KYC / AML processes
• PCI DSS & GDPR fundamentals

Nice to Have

• White-label / multi-tenant architecture experience
• Blockchain / crypto integrations
• PSD2 / Open Banking / MiFID knowledge
• Performance testing & system optimization
• DevOps & CI/CD understanding
• Modular platform architecture experience
• Financial audit & compliance exposure
• Data migration / integration project experience

Team Structure

• Cross-functional Agile team including:
• Product Owners
• Business Analysts
• System Analysts
• Backend & Frontend Engineers
• QA Engineers
• DevOps
• Security & Compliance Specialists

About the role
We are looking for a Middle Manual QA Engineer to join our product team and ensure the quality of a web-based online casino platform.
This role is for a specialist who takes ownership of product quality, participates in test planning, and performs deep analysis of complex issues, including integrations and backend logic.

Requirements

Experience

• 2+ years of commercial experience in Manual QA
• Experience in full-cycle testing of web applications
• Understanding of SDLC and Agile/Scrum
• Experience working in product teams

Technical skills

• Strong knowledge of testing theory and test design techniques
• Experience with PostgreSQL or other relational databases
• API testing experience (REST, HTTP/HTTPS, Postman, Swagger)
• Confident use of Chrome DevTools
• Experience with Jira and test management systems (Zephyr Scale, TestRail, or similar)
• Understanding of client-server architecture
• Experience analyzing logs and working with monitoring tools (Grafana or similar)

Languages

• English — B2+ (documentation and bug reporting)

Responsibilities

Testing

• Planning and execution of functional, regression, smoke, and integration testing
• Testing payment integrations (card processing, crypto, bank transfers)
• Deep testing of REST APIs and backend logic
• Multi-region testing (UK, Netherlands, Germany, France)
• Cross-browser and responsive testing
• Testing integrations with external services and payment providers

Analysis and Troubleshooting

• Log analysis and API interaction analysis
• Investigation and reproduction of complex and unstable issues

Documentation and Process

• Creating and maintaining test documentation in Zephyr Scale
• Building and updating regression test suites
• Reporting testing status and quality metrics in Jira
• Participation in sprint planning and task estimation
• Requirements analysis and early risk identification

Quality Improvement

• Release quality control before deployment
• Proposing improvements to QA processes and efficiency

Team collaboration

• Close collaboration with developers, analysts, and product managers
• Participation in technical discussions

Nice to have

• Experience in iGaming or Gambling (1+ year)
• Understanding of payment systems and financial transactions
• Experience with monitoring tools (Grafana, Kibana, ELK)
• Basic knowledge of web application security testing
• Experience with database tools (DBeaver or similar)
• Active use of AI tools (ChatGPT, Copilot, Claude) for test case generation, SQL queries, log analysis, and documentation

Soft skills

• Ownership and proactivity
• Analytical and structured thinking
• Strong attention to detail
• Good communication skills
• Self-organization and ability to work independently
• Willingness to share knowledge and mentor others

Working conditions

• Remote, full-time (40 hours per week)
• Flexible working hours
• Public holidays observed

What we offer

• Real impact on product quality and release decisions
• Work with a high-load international product
• Modern technology environment
• Growth opportunities to Senior QA or QA Lead
• Participation in technical decision-making

About Cyberette
Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era.

About the Role
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform.

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact.

Key Responsibilities

• Develop, train, and deploy computer vision models for image and video manipulation detection.
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques.
• Preprocess, clean, and manage large-scale datasets for training and evaluation.
• Optimize model accuracy, latency, and scalability for enterprise-grade performance.
• Contribute to the design of the model evaluation framework and internal benchmarking tools.
• Collaborate with other engineers and researchers to integrate models into production pipelines.
• Document methodologies, experiments, and findings clearly and systematically.

Requirements

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Strong experience in computer vision (CNNs, Transformers, multimodal models).
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Solid understanding of ML ops, dataset curation, and model evaluation.
• Proven experience building and training models from scratch.
• Excellent analytical and problem-solving skills.
• Self-driven, disciplined, and collaborative mindset.

What We Value
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here.

Bonus Skills

• Experience with audio or multimodal analysis.
• Knowledge of adversarial attacks or deepfake generation methods.
• Experience in real-time inference or edge deployment.

The client is an innovative global fintech leader behind USDT, the world’s largest and most widely used stablecoin.

We are looking for a Senior Backend Engineer with strong expertise in blockchain and crypto infrastructure to design, build, and scale high-performance backend systems interacting with EVM-based networks. This role focuses on blockchain integrations, transaction processing, distributed systems, and secure financial infrastructure at global scale.

Responsibilities:

• Design, build, and maintain scalable backend services using Node.js (JavaScript/TypeScript)
• Develop and optimize blockchain integrations with EVM-compatible networks
• Implement Web3-based interactions (smart contract calls, transaction signing, event indexing)
• Build secure services for transaction processing, wallet operations, and balance tracking
• Integrate with RPC providers, blockchain nodes, and third-party crypto services
• Design event-driven and distributed architectures for high-load financial systems
• Optimize gas usage, transaction batching, and on-chain/off-chain communication
• Implement monitoring, logging, and alerting for blockchain infrastructure
• Ensure security best practices in key management, signing flows, and API protection
• Write production-grade, well-tested code (unit, integration, load tests)
• Collaborate with product, DevOps, and security teams in a fully remote environment
   

Requirements:

• 7+ years of backend development experience
• Strong proficiency in JavaScript / TypeScript
• Deep experience with Node.js in production environments
• Hands-on experience with Web3 libraries (ethers.js, web3.js, viem, etc.)
• Strong understanding of EVM architecture and smart contracts
• Experience designing scalable distributed systems
• Strong understanding of security best practices in crypto environments

• Hands-on experience with Docker and containerized environments
   

  We are offering:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations
   

Performance ad-tech platform specializing in programmatic resell: we purchase high-quality inventory from SSPs and effectively resell it through DSP buyers in banner and video formats

We are looking for a BDM who already has experience building and scaling

resell operations in programmatic (supply → demand), where profit is generated on

the margin between purchasing from SSP and selling to DSP

Key requirements

- Proven experience specifically in programmatic resell/arbitrage for 2–4 years:

- Purchasing inventory from SSP (PubMatic, Magnite, OpenX, Index, ,

Adform, AppNexus/Xandr, and similar)

- Reselling through DSP (DV360, The Trade Desk, Xandr, Yandex DSP,

MGID, Taboola, programmatic direct, agencies)

- Working in a model without own direct traffic/publishers (pure

resell, supply path management)

In-depth knowledge of focus formats:

- Banner/Display: standard (300×250, 728×90, etc.), rich media,

interstitial, high-viewability

- Video: pre-roll, in-stream, out-stream, rewarded, VAST/VPAID, vertical /short-form video

- Understanding of resell economics: CPM purchase vs CPM sale, margin per impression,win-rate, viewability, completion rate, fraud-rate, latency, supply path optimization

(SPO)

- Negotiation skills: floor prices, private marketplaces / PMP / deals at SSP; tests,scaling, performance guarantees at DSP buyers

- Experience with supply chain transparency: sellers.json, SupplyChain Object,minimizing hops

- Confident outreach to SSP partners and DSP clients (LinkedIn, email,

Telegram, industry events)

- Knowledge of current 2026 verticals: e-commerce, fintech, apps, gaming, education, dating — where banners and videos provide stable volume in the resell model

What will be in your area of responsibility

- Searching for and connecting new SSP partners to purchase high-quality programmatic inventory (banner + video) at favorable rates

- Attracting and developing DSP buyers, agencies, and performance teams who need high-volume, clean traffic without fraud

- Full transaction cycle: testing,analysis (margin, win rate, quality), scaling, analysis (margin, win rate, quality), scaling

- Supply chain management: optimizing delivery routes, monitoring transparency, working with Deal IDs / PMP

- Monitoring trends (vertical video, shoppable banners, brandformance, CTV-like inventory) and adapting offers to demand

- Constant work on margins: negotiations on floors/deals at SSP, packaging inventory for the needs of DSP clients

- Achieving goals for turnover, margins, and long-term partnerships

What we offer

- Fixed salary

Percentage of margin/turnover on resell operations Banner & Video — transparent scheme, no upper limit

- Fully remote format

- Access to real-time dashboards, BI analytics, internal statistics on

supply/demand, fraud, viewability/completion

- Fast payments, performance-oriented billing model

- Freedom in approach to development: focus on results and economics, minimum Business Development Manager | Programmatic Resell (Banner & Video)

- Performance ad-tech platform specializing in programmatic resell: we purchase high-quality inventory from SSP and effectively resell it through DSP buyers in banner and video formats

Data Lab Scientist – Computer Vision

About Cyberette

Cyberette is an AI-native cybersecurity company developing forensic-grade technology to

detect digital manipulation in video, audio, and images. Our mission is to restore trust in

digital communication and protect organizations from deception in the AI era.

About the Role

We’re looking for a Data Lab Specialist with a solid background in data operations and

computer vision. You’ll be responsible for building and maintaining high-quality datasets that

fuel our detection models, ensuring accuracy, diversity, and consistency across all data

pipelines.

This role combines hands-on technical work with coordination — ideal for someone who

enjoys both creating structure and collaborating across teams.

Key Responsibilities

• Curate, collect, and annotate large-scale datasets for image and video analysis.

• Collaborate with the AI team to align data preparation with model goals.

• Ensure quality control and consistency across all dataset sources.

• Guide and coordinate junior team members or interns working on data tasks.

• Perform exploratory data analysis and identify dataset gaps or biases.

• Maintain clear documentation and versioning of data pipelines.

Requirements

• BSc/MSc in Computer Vision, Data Science, or related field.

• Proven experience with dataset preparation and management for machine learning.

• Strong understanding of computer vision principles and data labeling workflows.

• Proficiency in Python, Pandas and/or Polars, NumPy, and OpenCV.

• Experience working collaboratively with ML or research teams.

• Highly organized, detail-oriented, and dependable.

What We Value

Cyberette is built by a team of people who care deeply about purpose-driven innovation. We

believe in using AI to protect truth, identity, and digital integrity — and data is the foundation

of that mission.

Bonus Skills

• Familiarity with dataset tools (Label Studio, CVAT, Supervisely).

• Knowledge of multimodal or synthetic data generation.

• Understanding of ethical AI and dataset governance principles

We are the creators of a new fintech era!
Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,200 professionals united by a shared vision of shaping the Web3 future.
 

We are building our own blockchain ecosystem, ensuring maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.
Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT, and VISA.

The future of Web3 starts with you — join us as a Liquidity Monitoring Specialist!

Requirements: 

— Higher economic education;
— Systemic thinking and analytical mind;
— Ability to work with tables (excellent knowledge of Excel: formulas, summary tables);
— Willingness to work different shifts (day, evening, night).

Responsibilities:

— Processing and analysis of trading operations;
— Monitoring the state of the market;
— Research and analysis of exchange situations with the help of information and analytical tools;
— Interaction with the technical department.

Will be a plus: 

— Commercial experience and knowledge in the crypto domain. 

Work conditions: 

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 24 calendar days of paid leave.
— Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!

🟢We invite a Senior Software Engineer with strong Node.js expertise and solid AWS knowledge to join our team. You'll work with a trusted leader in the Point-of-Sale industry with over 100,000 global installations. In this role, you’ll contribute to our client’s new initiative focused on creating data mapping between diverse menu order systems and integrating two distinct APIs to ensure seamless and accurate data transfer.

🟩 What's in it for you:

• Collaborate on a high-load, technically challenging backend project, expanding your expertise in API integration, data mapping, and data transformation
• Contribute to a global tech platform offering robust solutions for the restaurant and food service industry
• Influence technical best practices and mentor engineers, promoting a culture of quality and continuous improvement

✅ Is that you?

• 4+ years of commercial backend development experience with deep expertise in Node.js and TypeScript in production environments
• 2-3+ years of AWS experience (EC2, ECS, Lambda, SQS/SNS, CloudWatch, etc.)
• Solid experience with MongoDB
• Proven experience designing, building, and maintaining RESTful APIs
• Strong understanding of backend architecture and service design
• Experience writing unit and integration tests
• Experience with CI/CD pipelines and automated deployments
• Strong ownership mindset and ability to work independently, resolve complex issues, and deliver solutions
• Excellent communication and cross-functional collaboration skills
• Upper-Intermediate+ English level

Desirable:

• Experience mentoring or providing technical guidance to engineers
   

🧩Key responsibilities and your contribution

In this role, you’ll contribute to the design, development, and continuous improvement of high-loaded backend systems and services, ensuring technical quality and delivering bullet-proof solutions.

• Design, build, and maintain high-loaded backend systems and APIs using Node.js and AWS
• Develop new backend features and enhancements for production systems
• Support and troubleshoot production systems to ensure reliability and performance
• Identify and reduce technical debt and implement improvements to maintain code quality and reliability
• Write and maintain unit and integration tests to ensure code quality
• Collaborate with cross-functional teams to define requirements and deliver bullet-proof solutions
• Contribute to the continuous improvement of backend architecture and development practices
• Create and maintain clear, organized development documentation

Experience Level: Mid-level or higher

Responsibilities:

• Develop, test, and maintain web-related applications using Golang and PHP (OpenSwoole).
• Rewrite legacy PHP apps to the Golang.
• Collaborate with cross-functional teams to define and design new features.
• Optimize applications for maximum speed and scalability.
• Troubleshoot and debug applications.
• Work with big data, ensuring the performance and reliability of applications.
• Maintain code integrity and organization.
• Document your own code in detail and with high quality.
•  

Requirements:

• Mid-level or higher experience in Golang.
• Mid-level or higher experience in vanilla PHP.
• Strong knowledge of multithreading and memory management.
• Ability to work effectively with relational databases.
• Experience with High-Load projects, Memcached, Redis, ClickHouse and OpenSwoole will be advantageous.
• Strong analytical skills and attention to detail.
• Ability to work with and analyze large datasets.

We invite an experienced and proactive Test Automation Engineer with strong Python and manual testing skills to join our team. In this role, you’ll design and implement robust testing solutions for cutting-edge AI products, focusing on improving RAG flows and testing LLM integrations to ensure reliability, safety, and performance.

🟩 What's in it for you:

• Work hands-on on test automation for AI-powered solutions that have real-world impact
• Grow your expertise in AI safety and RAG/LLM testing
• Collaborate with a team of experienced engineers and QA professionals in a modern, innovation-focused environment

✅ Is that you?

• 3+ years of experience in automation testing
• Strong programming skills in Python
• Practical experience with pytest or similar Python testing frameworks
• Experience developing and maintaining test automation frameworks
• Solid understanding of test design, strategy, and QA best practices
• Hands-on experience with CI/CD pipelines and tools (Jenkins, GitLab CI)
• Understanding of RAG pipelines and testing AI/ML-based systems
• Familiarity with AI safety testing (prompt validation, hallucination checks, response consistency)
• Familiarity with API (REST, HTTP) testing and data validation
• Good knowledge of Git, test reporting, and bug tracking tools
• Strong analytical and problem-solving skills
• Upper-Intermediate English level

Desirable:

• Experience with major cloud platforms (GCP, AWS, Azure)
• Knowledge of containerization tools (Docker, Kubernetes)

🧩Key responsibilities and your contribution

In this role, you'll develop and execute automated tests to ensure the quality and reliability of AI-driven products.

• Design, develop, and maintain automation frameworks and test strategies for AI products
• Evaluate and improve RAG flows, ensuring accuracy and performance
• Test LLM integrations with prompt validation, hallucination checks, and response consistency checks
• Prepare test data and clarify testing requirements as needed
• Create and run automated test suites for APIs, data pipelines, and model integrations
• Integrate automated tests into CI/CD pipelines to maintain quality and stability
• Analyze test results, report defects, and work with teams to resolve issues
• Participate in code reviews, sprint ceremonies, and QA planning sessions
• Maintain clear test documentation and provide regular updates to stakeholders
• Continuously improve testing tools, processes, and automation efficiency

Our company is actively seeking a skilled and motivated React Native Developer who is passionate about coding and eager to grow, to join our team.

Requirements:

- Strong knowledge of native or hybrid mobile development on React Native;
- Knowledge of Vue.js or React development;
- Experience with Mac OS XCode and Android Studio at the level of a confident user;
- Experience with web technologies such as REST API, WebSockets and JSON.
- NestJS;
- PostgreSQL or MongoDB;
- ExpressJS will be a plus.

It will be a big plus:

- Experience in creating applications from scratch and publishing them in the App Store, understanding the principles of moderation;
- Equipment availability on MacOS;
- Knowledge of AWS, Clouds, GrapghQL, Prisma

Key responsibilities:

- Work on creating new and interesting mobile applications;
- Further support in improving the created projects;
- Test and implement new features in projects;
- Work closely with the Development Team (testers, designers, PMs, developers).

Benefits are discussed individually 

GeoX provides instant property intelligence for insurnce across the United States. GeoX enables insurers and other property stakeholders to access valuable property attributes at time of underwriting, with the accuracy and detail that traditionally required an on-site inspection, but with the speed and coverage of property record pre-fill. Founded in 2018, GeoX is backed by stock market and leading venture firms and is comprised of computer vision, data science, and risk analysis experts.

Roles & Responsibilities

• Create a comprehensive marketing strategy to engage US-based Insurance carriers / MGA’s / Brokers / Agencies across all relevant marketing channels. 
• Build a transparent and scalable growth machine, own demand generation end-to-end, identify opportunities to develop new channels, and/or expand existing ones for customer acquisition.
• Establish a content factory, able to produce relevant and highly engaging content for diverse stages on the leads, opportunities, and users’ journey, including but not limited to case studies, blog articles, white papers, thought leadership pieces.  
• Manage and operate E2E, all marketing activities, hands-on / using freelancers /scale it to an in-house team later on.
• Own self-service product as a stand-alone revenue center with full responsibility for its performance and targets.
• Oversee email campaigns, Paid Search & Social.
• Generate user acquisition LTV/CAC reports on an ongoing basis and adjust accordingly. Define and manage marketing KPIs.

Qualifications

• +5 years of experience in marketing of global SAAS solutions to small medium businesses or B2B - must
• Experience working in startup companies – must
• Excellent English - must
• Background in insurance P&C - advantage

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We are looking for a Backend Java Tech Lead who will take technical ownership of the backend team working with a microservices, high-load architecture.

This role is about leadership, architecture, and responsibility for the technical direction of the platform.

Your key responsibilities will include:

• Lead the backend team technically, ensuring architectural vision and technical standards.
• Design, implement, and maintain high-load, scalable backend services using Java and Spring Boot.
• Drive technical decisions and take full ownership of architectural solutions.
• Ensure high code quality via best practices, reviews, and automation.
• Optimize system performance and reliability across microservices.
• Work with event-driven architectures and distributed systems.
• Mentor developers, support skill development, and foster collaboration.
• Collaborate with cross-functional teams to deliver reliable and scalable solutions.

It’s a match if you have:

• 5+ years of commercial experience with Java (17+/21) and Spring Boot.
• Strong knowledge of the Spring ecosystem: Web, Security, Data, Scheduler, WebFlux.
• Hands-on experience with microservices and high-load architectures, event-driven systems.
• Practical knowledge of CI/CD, containerization (Docker), and deployment to Kubernetes (EKS).
• Solid experience with Apache Kafka (producers/consumers, distributed topics, retry and error handling).
• Experience working with databases: PostgreSQL, MongoDB / AWS DocumentDB, SingleStore.
• Experience in designing and optimizing REST APIs.
• Experience with monitoring and logging tools: Grafana, Prometheus, Micrometer, ELK.
• Experience in technical leadership or mentoring engineering teams.
• Ability to make and own architectural and technical decisions.
• Strong communication skills, teamwork mindset, and analytical thinking.
• English level — Upper-Intermediate.

What we offer:

– Flexible schedule and remote format or offices in Warsaw.

– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).

– A supportive, friendly team where knowledge-sharing is part of the culture.

– Coverage for professional events and learning.

– Birthday greetings, team buildings, and warm human connection beyond work.

– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Send over your CV now — we’d love to get to know you better!

Location: Remote (Ukraine/Europe)

Type: Full-time / Part-time
 

We integrate advanced automation, AI, and robotics to develop security and defense solutions. Our focus is on intelligent systems that combine embedded software, computer vision, and edge-AI for autonomous platforms.
 

We are looking for an engineer who understands that modern computer vision is built on deep learning - not classical algorithms. You will design and deploy CV systems for autonomous platforms in real-world defense conditions.
 

What you'll do:

• Develop high-performance C++ computer vision pipelines - detection, tracking, segmentation
• Integrate and optimize ML models on edge devices using TensorRT and ONNX Runtime
• Build real-time video pipelines - streaming, preprocessing, inference, post-processing
• Write Python for ML experiments, data processing, and simulation workflows
• Optimize system performance - multithreading, memory management, GPU acceleration
• Integrate cameras, sensors, and compute modules
• Develop on Embedded Linux with low-level hardware integration
• Debug and profile real-time systems under operational constraints
   

Technical skills

Must have:

• Strong C++ (C++17/20, STL, multithreading, memory management)
• Deep learning as the foundation of CV work - CNN architectures (YOLO, ResNet, EfficientDet), understanding of Transformer-based approaches (ViT, DETR)
• Hands-on ML deployment on edge devices - TensorRT, ONNX Runtime
• Python at ML engineer level - PyTorch or TensorFlow, NumPy, OpenCV
• Edge-AI platforms - Jetson, Hailo, Coral
• Video pipeline experience - GStreamer, FFmpeg
• Embedded Linux - Ubuntu, Debian or Yocto

• Git and CI/CD

   

Nice to have:

• CUDA / GPU programming
• Model optimization - quantization, pruning
• ROS / ROS2
• Real-time systems and profiling tools
• Classical CV - calibration, 3D vision, SLAM
• Simulators - Gazebo, Isaac Sim
• MAVLink / ArduPilot / PX4
• Docker / DevOps
• Low-level optimization - SIMD, ARM NEON
   

What we offer:

• Impact: Ownership over mission-critical autonomous/robotics systems.
• Autonomy: Full technical freedom - choose tools, architect solutions, drive decisions. Minimal bureaucracy.
• Unique Domain: Rare expertise that strengthens your aerospace/defense resume.
• Growth: Regular salary reviews with performance-based increases.
• Remote Work: 100% remote, flexible schedule, core sync hours. 
• Learning: Professional courses and certifications aligned with your role.
• Team: Work alongside experienced engineers tackling cutting-edge challenges in edge-AI, computer vision, and real-time robotics.
• Mission: Direct contribution to Ukraine's defense capabilities and European security resilience.
   

If this resonates with you, don't wait - reach out today! We're looking forward to meeting you:)