Jobs at Djinni

About us

We are looking for a Technical Account Manager who combines client-facing skills with a solid technical understanding to ensure successful product adoption and usage of solutions at Farsight Vision.

This role sits at the intersection of client success and technical consulting, where your goal is not only to manage relationships but also to help clients fully leverage the product.

Responsibilities

• Act as the main point of contact for clients with a focus on technical aspects of the product
• Understand client use cases and translate them into clear technical requirements
• Support clients during integration, onboarding, and ongoing product usage
• Collaborate closely with engineering, product, and support teams
• Assist with troubleshooting, issue resolution, and escalations
• Monitor product usage and proactively suggest improvements
• Conduct demos, onboarding sessions, and provide technical guidance
• Ensure transparency on account status, risks, and priorities

Requirements

• 3+ years in Technical Account Management / Customer Success / Technical Support in tech companies
• Strong understanding of technical products (APIs, integrations, systems, infrastructure)
• Ability to translate business needs into structured technical tasks
• Experience working with cross-functional teams (engineering, product)
• Strong communication and stakeholder management skills
• Proactive, problem-solving mindset
• Upper-intermediate+ English
   

Nice to have:

• Experience in defense / robotics / AI / hardware domains
• Familiarity with real-time systems or data processing
• Willingness to travel and participate in client demos
   

Why us

• Real impact — products used in critical, real-world environments
• Strong engineering culture 
• Startup dynamics — fast decisions, low bureaucracy
• Flexible setup — remote work, flexible schedule, paid vacation & sick leave

About Atlas Technica & our AI & Advisory Practice 

Atlas Technica is the premier technology partner for the world’s most sophisticated hedge funds, private equity firms, and RIAs. We power the infrastructure behind the scenes, and now we are building the "factory floor" for their next generation of alpha. We are evolving into the industry’s first Managed Intelligence Provider (MIP). 

Our AI & Advisory practice doesn't just sell licenses. We architect the secure blueprints and complex agentic frameworks that allow elite investment teams to operate at the frontier of GenAI. We are currently scaling a product lane centered on Intelligent Workflow Design: a tiered, institutional offering designed to rewire how fundamental research and investment operations happen. 

The Mission 

We are looking for a Principal, Agentic Strategy & Solutions to architect and pilot our client-facing advisory business. This is a strategic player-coach role for an elite practitioner who is tired of making slides and wants to actually build the future of high finance. 

You will start as our lead architect for client enablement, personally designing the multi-agent systems that drive real ROI for our clients. As the practice scales, you will have the mandate to hire and lead a specialized pod of 2–3 AI consultants, initially, ensuring our global delivery model remains as sharp as our code. 

What You’ll Own 

1. Strategic Product Development 

• Architect the Atlas "Agentic Workflow Training" series as a repeatable, institutional product. We want intensive cohorts and strategic office hours, not generic webinars. 
• Develop and maintain proprietary Pattern Libraries for complex fund strategies: 
• Long/Short Equity: Automating fundamental synthesis and 10-K/Q anomaly detection. 
• Macro / Multi-Strat: Building global news triage systems and cross-asset scenario companions. 
• Credit & Private Markets: Engineering covenant extraction and automated deal-memo synthesis. 
• Define the "Basic" vs "Advanced" AI Factory playbooks, ensuring we have a solution for every stage of client maturity. 

2. Hands-On Agentic Orchestration 

• Design sophisticated system prompts and multi-agent workflows.  
• Work daily in the "workbench": utilizing Claude, ChatGPT, … to ship production-ready patterns. 
• Establish robust evaluation harnesses to measure agent performance, hallucination risk, and research depth. You find a 1% error rate on a financial metric personally offensive. 

3. Executive Advisory & Client Delivery 

• Lead high-stakes design sprints for C-suite stakeholders at $10B+ AUM funds. 
• Partner with Sales and CTMs to translate "we want AI" into scoped, high-value consulting engagements that deliver. 

4. Internal Practice Enablement 

• Serve as the firm-wide "Internal Coach" for prompt and agent fluency. You’ll create the playbooks that empower our engineering teams to sustain these environments. 
• Contribute to R&D on "AI Defense," focusing on prompt safety and governance patterns for SEC and FINRA-regulated environments. 

Your DNA 

• The Consulting Pedigree: You have 7+ years of experience within a global consultancy (e.g., EY, Deloitte, Accenture, McKinsey, BCG) in a client-facing, engagement-leadership role. You know how to manage a room and a project plan. 
• The Builder Mindset: You are a daily practitioner of LLMs and orchestration frameworks. You don't just "manage" the tech; you operate in the terminal and understand what works. 
• Capital Markets Fluency: You speak the language of PMs, Research Analysts, and CCOs and understand the fundamental research process. 
• The Clever Edge: you can demystify "Retrieval Augmented Generation" for a non-technical COO while keeping the technical respect of a Principal Architect. 
• High-Velocity Orientation: You thrive in the "N of 1" environment where the tech changes weekly. You believe that shipping beat perfection every single time. 

What Success Looks Like (First 12 Months) 

• Q1-Q2: A codified training offer with a validated library of "Bronze" workflow families ready for global scale. 
• Q3-Q4: High NPS and measurable research compression for a cohort of pilot clients. 
• Practice Growth: A clear roadmap and your first 2–3 direct reports hired as practice revenue hits target milestones. 

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region, and now take the success to the world. 

We are currently looking for a Anti-Fraud Specialist to strengthen our fraud prevention efforts in betting and casino products. This role involves analyzing user behavior, identifying suspicious activity, and improving anti-fraud processes. We value a proactive, detail-oriented mindset and strong analytical thinking.

📋 Key responsibilities and your contribution:

- Monitoring and analyzing betting and casino games to detect abnormal activity, fraudulent schemes.
- Developing and implementing anti-fraud systems: creating and optimizing algorithms designed to prevent fraud in games.
- Analyzing players and their behavior using statistical methods to identify suspicious patterns.
- Responding to incidents: conducting investigations into suspicious situations, identifying and blocking fraudsters.
- Preparing reports: creating reports on detected frauds and system vulnerabilities.

📚 Your qualifications:

- 1+ year of experience in anti-fraud and security in gambling or related industries (e.g., online casinos, sports betting, poker sites).
- Knowledge of poker and casino games, understanding of various types of fraud in these areas (e.g., bot usage, exploiting bonus offers, player collusion, etc.).
- Experience with Excel and analytical tools: Tableau/ PowerBI (will be a plus) for data analysis and anomaly detection.
- Knowledge and understanding of anti-fraud systems, such as real-time fraud prevention systems (e.g., session monitoring, transaction processing).
- Ability to perform detailed data analysis and identify unconventional user behavior patterns.
- Monitor and detect marketing-related fraud activities (bonus abuse, multi-accounting, affiliate fraud, CPA traffic manipulation), analyze user behavior and traffic patterns.

➕ Nice to have:

- Experience with machine learning systems for analyzing player behavior.
- Creating dashboards in Tableau or other analytical tools.

Benefits:

⭐ Days of recovery: 20 paid vacation day per year and unlimited sick leave days.
⭐ Health: corporate medical insurance, a company psychologist and a Cafeteria of Benefits for personal wellness choices.
⭐ Education: a variety of foreign languages course for you to choose from. Also we are open for your development and you can choose different courses /training for improving your skills.
⭐ Compensation: additional benefits that can be used according to company policy, e.g. paid business trips, international conference opportunities, lunch perks at our offices etc.
⭐ Work Environment: work remotely or from one of our offices in Cyprus, Portugal, Poland, equipped with the equipment you’ll need for success.

About the Role

We are looking for an experienced Engineering Manager to lead three SCRUM teams working on HotSchedules Labor, our workforce management product. You will own delivery, people management, and engineering processes across teams of full-stack Java developers, tech leads, and QA automation engineers.
 

This is a management-focused role. You will not write code daily, but you need strong technical depth to evaluate architectural decisions and challenge technical trade-offs. The teams use AI coding agents in their daily work, and you will be expected to support and grow this practice. The teams are distributed across Ukraine, Latin America, and the US. EU-timezone working hours are required. You will run cross-team ceremonies, stakeholder updates, and escalation calls, so strong English communication skills are a must.
 

Key Responsibilities

• Lead three SCRUM teams end-to-end: sprint planning, backlog refinement, retrospectives, and delivery commitments
• Own delivery outcomes and make sure teams consistently hit sprint goals and roadmap milestones
• Manage ~15-20 engineers across three teams: tech leads, senior full-stack developers, and QA automation engineers
• Run regular 1:1s, performance reviews, and career development conversations
• Remove blockers, manage cross-team dependencies, and escalate risks early
• Work with product management to align engineering capacity with business priorities
• Maintain engineering standards: code reviews, CI/CD discipline, test coverage, and release quality
• Expand the use of AI coding agents across all three teams, track adoption and productivity metrics, and report results to leadership
• Coordinate cross-team technical initiatives such as platform upgrades, migrations, and tech-debt reduction
• Own hiring for your teams: define staffing needs, run interviews, and onboard new members
• Report delivery status, risks, and metrics to senior leadership and client stakeholders
• Build and maintain a strong team culture across distributed time zones
   

Requirements

Must-Have

• Proven experience managing multiple engineering teams simultaneously, navigating cross-team dependencies and balancing competing priorities

8+ years of professional software development experience with a strong Java background

• Advanced English proficiency (daily meetings, stakeholder calls, and written communication)
• At least 6 months of hands-on experience with AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) or direct experience managing teams that actively use them
• Hands-on experience with at least one major cloud platform (AWS or Azure)
• EU-timezone availability

Strongly Preferred

• Track record of delivering software in Agile/SCRUM environments with distributed, international teams
• Solid understanding of the Java/Spring ecosystem, relational databases, and modern front-end frameworks (React)
• Experience managing QA functions, including test automation strategy and quality metrics
• Experience with capacity planning and delivery forecasting

Nice to Have

• Domain experience in workforce management, scheduling, or labor optimization
• Familiarity with event-driven and message-queue architectures
• Experience managing teams through legacy-to-modern migration efforts
• Exposure to Playwright-based test automation frameworks
• Experience with Azure DevOps pipelines and CI/CD orchestration across multiple teams

We are looking for a skillful Senior Full-Stack .NET Engineer. A perfect candidate must be able to adjust to constant business change. Common types of changes include new requirements, evolving goals and strategies, and emerging technologies.
 

About the client:

Founded in 1948, Fluke Corporation is a huge US-based enterprise with over 2,500 employees. It is a world leader in compact, professional electronic test tools, and software for measuring and condition monitoring.

We are collaborating on the solutions for the mobile operation, control, and maintenance of automated systems. The company’s products are designed for environments where downtime is a critical issue such as airports, warehouses, distribution centers, manufacturing operations, power stations, water treatment facilities, or renewable energy farms. The solutions are used by global leaders in manufacturing, airport operations, and logistics, such as Honda North America, Toyota UK, Volkswagen, Boston Logan Airport, Allessa Chemie, Zalando, Baur, Brillux, as well as many airports in Europe.

X5 eMaint - A CMMS software solution that centralizes maintenance information, facilitates processes, and automates some tasks to improve efficiency. Computerized maintenance management system software optimizes the use, availability, and life span of equipment, machinery, fleets, infrastructures, facilities, or operations
 

Requirements:

• At least 5 years of experience in software development projects. 
• Experience in working with big enterprise project
• Experience with implementing enterprise cloud native solutions in AWS (preferred) or MS Azure. 
• Experience in designing and developing asynchronous message-driven micro services with experience in RabbitMQ or similar. 
• Good knowledge in Relational and Non Relational DB design. 
• Good knowledge in functional and/or object-oriented software design and  domain-driven design (desired) using .NET and C#.  
• Experience in designing and developing user interfaces with React.js, TypeScript (desired) and CSS/Sass. 
• Practical knowledge designing RESTful and GraphQL (desired) API. 
• Good knowledge in Continuous integration and delivery best practices. 
• Upper-intermediate level of English (both oral and written)
   

Nice to have:

• Experience collaborating with UX and Product  
• Experience and passion for developing visually polished, engaging and fluid interfaces.
• Excellent problem-solving and collaboration skills.  
• Great written, verbal, technical and  interpersonal communications skills. 
   

Responsibilities:

• Design and implement complex, scalable, and maintainable full-stack solutions that  align with business goals.  
• Provide technical leadership, mentoring, and guidance to a team of developers, fostering a culture of continuous learning  and improvement. 
• Write efficient, testable, and maintainable code. 
• Drive initiatives to improve development  processes, automation, and overall team efficiency. 
• Troubleshoot and resolve technical issues, identifying root causes and implementing effective solutions. 
• Collaborate with stakeholders across the company including engineering, product,  support, and marketing to launch new features.
• Product development within Fluke Reliability is  an internationally distributed and diverse  organization. We embrace a culture of  innovation, continuous improvement, and individual empowerment to provide an  environment where individuals can grow and thrive.

Our Customer:

Our client is a fast-growing cybersecurity technology company developing a large-scale platform for simulating cyberattacks and assessing security posture. The product includes complex web interfaces, high-load backend services, and cloud-native components.

Your Tasks:

• Design, develop, and maintain advanced frontend features using React and modern JavaScript (ES6+).
• Build complex UI components, interactive dashboards, and scalable, reusable component libraries (including Storybook).
• Own and evolve the frontend architecture, ensuring high performance, maintainability, and a consistent user experience across the platform.
• Optimize rendering behavior and application performance, minimizing unnecessary re-renders and improving perceived UI responsiveness.
• Collaborate closely with product managers, designers, and backend engineers to deliver high-quality features end to end.
• Participate in technical discussions, frontend architecture decisions, and code reviews.
• Integrate frontend applications with backend APIs (Node.js-based services).
• Work with Git-based workflows and CI/CD pipelines to ensure smooth delivery and deployment.
• Ensure clean, testable, and well-documented code following frontend best practices.

Required Experience & Skills:

• 5+ years of professional experience in frontend or web development.
• Senior-level expertise in React and the modern frontend ecosystem.
• Excellent command of JavaScript, with a deep understanding of how the language works (execution context, async behavior, data handling).
• Strong experience designing and maintaining reusable UI components and design systems (Storybook or similar).
• Solid understanding of frontend application architecture, state management strategies, and data flow patterns.
• Experience optimizing React applications for performance and scalability.
• Working knowledge of backend integration (REST APIs, Node.js services).
• Experience working with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB) at an integration level.
• Familiarity with CI/CD pipelines and modern development workflows.
• Strong focus on code quality, testing, and maintainability.
• English — Upper-Intermediate+ (written and spoken).

Our Customer:

Our client is a forward-thinking early-stage startup creating next-generation GPU efficiency solutions and developing performance layers for AI and LLM workloads..

Your tasks:

• Design and enhance GPU software infrastructure.
• Work with CUDA, OpenCL, ROCm, and LLVM to boost computational performance.
  Drive code compilation and transformation workflows from CPU to GPU.
• Develop scalable high-performance computing and AI infrastructure layers.
  Collaborate with top-tier engineers across GPU, AI, and compiler domains.

Required Experience and Skills:

• 5+ years of hands-on experience working with GPU, compiler, or HPC technologies.
• Strong expertise in performance tuning, GPU memory management, and computer architecture.
• Expertise and passion for performance, latency, and optimization.
• Would be a plus:
  Experience with HPC, LLM systems, or AI infrastructure.

Our Customer:

A global technology company developing real-time video augmentation and rendering infrastructure for broadcast and streaming environments.

Your tasks:

• Develop and maintain the backend pipeline to monitor, synchronize, and manipulate video streams such as SRT & HLS and MySQL resources on the cloud;
• Integrate and manage modules written both in C++ and Node.js;
• Implement a complex metadata system over AWS, including S3 security access and acceleration;
• Design and deploy backend architecture (NodeJs) to manage data allocation and pipeline control;
• Create and maintain a dashboard to monitor pipeline status and performance.

Required Experience and Skills:

• Over 5 years of experience with Node.js;
• Experience with AWS, including S3, RDS, and CloudFront;
• Experience in real-time video processing;
• Deep understanding of rendering synchronization techniques for multimedia content in a web browser environment;
• Hands-on experience with WebGL;
• Familiarity with DRM video streams (SRT, HLS) and Image Processing in the browser;
• Excellent problem-solving skills and attention to detail;
• Ability to work independently and in a collaborative team environment;
• Strong communication skills;
• English – Upper-Intermediate.

Would be a plus:

• Experience with database management, particularly MySQL;
• Experience with C++ realtime programming;
• Knowledge of modern DevOps practices and tools;
• Previous experience with sports broadcasting and AR technology.

Our Customer:

A global technology company developing real-time video augmentation and rendering infrastructure for broadcast and streaming environments.

Responsibilities:

• Design and implement a native video playback extension that augments HLS streams at runtime across platforms such as Android (ExoPlayer), webOS, Roku, and others;
• Build and maintain a cross-platform rendering layer using OpenGL for real-time video frame processing and compositing;
• Integrate GPU-based overlays and visual transformations directly into the playback pipeline with strict frame-accurate synchronization;
• Develop device-aware architecture to handle platform-specific decoding, rendering surfaces, hardware acceleration constraints, and performance tuning;
• Integrate external SDKs and APIs alongside an internal AR/graphics processing pipeline;
• Optimize rendering performance, memory usage, and latency under real-time streaming constraints;
• Collaborate with QA and Product teams to validate rendering accuracy, synchronization precision, and cross-device stability.

Required experience and skills:

• Strong hands-on experience with OpenGL (mandatory, core skill), including shader programming and GPU pipeline understanding;
• Solid knowledge of real-time rendering concepts (frame buffers, textures, shaders, synchronization, GPU/CPU interaction);
• Experience integrating OpenGL with native video playback surfaces;
• Strong experience with Kotlin for Android development;
• Practical experience with HLS streaming internals and playback customization;
• Strong understanding of video decoding/rendering pipelines and frame timing control;
• Experience with native video players on at least one of the following platforms: Android (ExoPlayer), webOS, RokuTV;
• Experience implementing low-latency video overlays and graphical composition;
• Understanding of hardware acceleration and performance optimization on embedded/TV devices;
• Proven background in full-cycle software engineering (integration, profiling, debugging, optimization);
• English — Upper-Intermediate+.

Our Customer:

Our client is a fast-growing technology company developing an advanced cloud optimization platform that helps enterprises improve efficiency and reduce infrastructure costs across multi-cloud environments. The solution leverages automation and AI-driven analytics to detect inefficiencies, recommend optimizations, and ensure scalable, cost-effective cloud operations.

Your tasks:

• Design and develop backend services for a large-scale cloud optimization platform.
• Own the full development cycle — from architecture and coding to testing and deployment.
• Collaborate with engineering and product teams to build scalable, high-performance systems.
• Research and implement innovative solutions for cloud resource analysis and automation.
• Contribute to system design, code quality, and best engineering practices.

Required Experience and Skills:

• 4+ years of experience in backend development.
• Strong knowledge of Go.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Background in microservices or distributed systems.
• Experience building SaaS products in cloud environments.
• Strong problem-solving and communication skills.

Would be a plus:

• Experience with DevOps tools, Kubernetes, or CI/CD.
• Knowledge of monitoring, automation, or cloud cost management solutions.
• Familiarity with data analytics or AI-driven systems.

Our Customer:

Our client is a technology-focused company building high-performance, real-time ML inference systems. The team develops ultra-low-latency engines that process billions of requests per day, integrating ML models with business-critical decision-making pipelines. They are looking for an experienced backend engineer to own and scale production-grade ML services with strong focus on latency, reliability, and observability.

Your tasks:

• Lead the design and development of low-latency ML inference services handling massive request volumes.
• Build and scale real-time decision-making engines, integrating ML models with business logic under strict SLAs.
• Collaborate closely with data scientists to deploy ML models seamlessly and reliably in production.
• Design systems for model versioning, shadowing, and A/B testing at runtime.
• Ensure high availability, scalability, and observability of production systems.
• Continuously optimize latency, throughput, and cost-efficiency using modern tools and techniques.
• Work independently while collaborating with cross-functional teams including Algo, Infrastructure, Product, Engineering, and Business stakeholders.

Required Experience and Skills:

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or related technical field.
• 5+ years of experience building high-performance backend or ML inference systems.
• Expert in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML).
• Experience with scalable service architectures, message queues (Kafka, Pub/Sub), and asynchronous processing.
• Strong understanding of model deployment, online/offline feature parity, and real-time monitoring.
• Experience with cloud environments (AWS, GCP, OCI) and container orchestration (Kubernetes).
• Familiarity with in-memory and NoSQL databases (Aerospike, Redis, Bigtable) for ultra-fast data access.
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry) and alerting/diagnostics best practices.
• Strong ownership mindset and ability to deliver solutions end-to-end.
• Passion for performance, clean architecture, and impactful systems.

Would be a plus:

• Prior experience leading high-throughput, low-latency ML systems in production.
• Knowledge of real-time feature pipelines and streaming data platforms.
• Familiarity with advanced monitoring and profiling techniques for ML services.

Our Customer:

Our customer is a global, data-driven digital advertising technology company operating at large scale across mobile apps and web platforms.

Your Tasks:

• Analyze large, complex datasets to uncover patterns, insights, and business opportunities;
• Design, build, and own scalable, end-to-end data pipelines;
• Develop and productionize advanced machine learning models and algorithms, particularly in monetization-related domains;
• Build and maintain data models for real-time (online) processing;
• Contribute to the creation of new data-driven products and continuously improve existing ones;
• Collaborate with Product, BI, Analytics, DevOps, R&D, and Marketing teams to deliver complete solutions;
• Lead full production releases, including requirements analysis, testing, monitoring, result evaluation, and rapid response to critical issues.

Required Experience and Skills:

• 6+ years of experience as a Data Scientist with a strong foundation in machine learning concepts and models;
• Previous experience in the Ad-Tech industry;
• Hands-on experience working on large-scale, high-load systems processing billions of requests per second;
• Hands-on experience with Python including writing production-ready code and working with modern Python frameworks and tooling;
• Experience with data science / ML libraries and models, such as regression and classification models (e.g. XGBoost, LightGBM), recommendation systems, and related ML techniques;
• Solid understanding of databases and SQL for data analysis and retrieval;
• Experience with monitoring and alerting tools such as Grafana and Kibana;
• Proven experience working in real-time / online environments;
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field;
• Strong end-to-end ownership mindset: ability to take solutions from research and experimentation through implementation and production;
• Fluent English with strong communication and collaboration skills.

Would Be a Plus:

• Familiarity with the programmatic advertising ecosystem (DSPs, SSPs, ad exchanges);
• Experience with relational databases (e.g. Vertica, VoltDB) and non-relational databases (e.g. MongoDB);
• Experience working with PMML.

Our Customer:

Our customer is a company operating in the retail industry, with a strong presence in the fashion sector.

Your Tasks:

Administer, configure, and maintain the NetSuite platform to support business operations.
Manage system setup, user roles, permissions, and workflows.
Monitor system performance and ensure stability, reliability, and optimization of NetSuite.
Customize NetSuite through scripts, workflows, and configurations to support business needs.
Develop and maintain NetSuite integrations with internal and external systems.
Support data management, reporting, and analytics related to NetSuite.
Identify opportunities for process automation and system improvements.
Provide technical expertise and best practices for NetSuite development and administration.

Required Experience and Skills:

Strong hands-on experience with NetSuite administration.
Solid understanding of NetSuite configuration, workflows, and system management.
Experience with SuiteScript or other NetSuite development tools.
Experience working with NetSuite integrations and data processes.
Ability to collaborate with business teams and translate business needs into technical solutions.
Strong analytical and problem-solving skills.
Fluent English with strong communication and collaboration skills.

Would Be a Plus:

Experience in the retail industry, especially fashion.
Experience working with data pipelines, analytics, or advanced reporting around NetSuite.
Experience integrating NetSuite with third-party platforms or e-commerce systems.
Previous experience supporting large or complex NetSuite environments.

Our Customer:

Our customer is a company operating in the retail industry, with a strong presence in the fashion sector.

Your Tasks:

• Develop, customize, and maintain Shopify-based e-commerce stores.
• Implement new features, themes, and functionality on the Shopify platform.
• Optimize the performance, usability, and responsiveness of the online store.
• Work with Shopify APIs and integrations to connect Shopify with internal systems and third-party services.
• Customize Shopify themes using Liquid, HTML, CSS, and JavaScript.
• Support store integrations with payment gateways, logistics providers, and other services.
• Collaborate with designers, product teams, and other stakeholders to deliver high-quality e-commerce solutions.
• Troubleshoot and resolve technical issues related to the Shopify platform.
• Ensure the security, stability, and scalability of the e-commerce environment.

Requirements:

• Strong experience working with Shopify and Shopify Plus.
• Proficiency in Liquid, JavaScript, HTML, and CSS.
• Experience with Shopify CLI.
• Experience with Shopify Partner Dashboard.
• Experience with Shopify Metafields & Metaobjects.
• Experience with Shopify Payments.
• Experience with React or Vue.js.
• Familiarity with Hydrogen.
• Experience with Shopify theme development and customization.
• Experience with Shopify APIs and app integrations.
• Understanding of e-commerce workflows and best practices.
• Experience with Git and modern development workflows.
• Good communication skills in English.

Would Be a Plus:

• Experience in retail or fashion e-commerce.
• Experience with Shopify Plus features.
• Experience building custom Shopify apps.
• Experience integrating Shopify with ERP, CRM, or payment systems.
• Knowledge of SEO and performance optimization for e-commerce platforms.
• Experience with headless commerce or modern front-end frameworks.

Location: Remote / Europe / CIS
Employment: Full-time

From merchant settlements to PSP integrations, from reconciliation flows to financial strategy - this is where fintech finance meets high-risk payments.

We are launching a new payment company focused on iGaming and other high-risk industries.

The company will provide payment infrastructure for merchants operating in complex markets: processing, settlements, multi-PSP routing, and global payment orchestration.

To lead the financial architecture of this business, we are looking for a Chief Financial Officer (CFO) who understands the mechanics of payment flows, reconciliation logic, and financial risk management in a high-volume fintech environment.

This role requires deep expertise in payment operations finance, settlements, reconciliation, and financial control across multiple PSPs and partners.

Your Mission

Build and lead a financial system that ensures accuracy of settlements, transparency of payment flows, and financial stability in a high-volume payment environment.

You will oversee everything from PSP settlements and merchant reconciliations to financial strategy and operational finance structure.

What You Will Do

Financial Strategy & Leadership

• Define and execute the financial strategy of the company
• Build the financial structure for a fast-growing payment business
• Support strategic decisions on markets, partners, and payment infrastructure
• Work closely with CEO and leadership on scaling the company

Payment Finance & Settlements

•  Oversee merchant settlement flows and payout structures
• Manage reconciliation of transactions across PSPs, payment gateways, and banking partners
• Ensure accuracy of processing volumes, commissions, fees, and payouts
• Monitor settlement cycles and payment provider balances
• Control financial flows between merchants, PSPs, and internal infrastructure

Reconciliation & Financial Control

• Build and oversee reconciliation processes across payment systems
• Ensure daily, weekly, and monthly reconciliation of: PSP balances, merchant settlements, payment gateway reports, internal transaction ledgers, fiat and crypto payment flows (bank accounts, wallets, and on-chain transactions)
• Identify discrepancies in payment flows and resolve them quickly
•  Implement financial controls for high-volume transaction environments

Reporting & Financial Transparency

•  Develop internal financial reporting for leadership and investors
• Track revenue streams, processing volumes, margins, and partner commission
•  Build forecasting models based on transaction flows and payment volume
•  Prepare financial reports for holding management and partners

Risk Management

• Identify operational and financial risks in payment flows
• Ensure financial stability across multiple PSPs and acquiring partners
• Monitor exposure related to chargebacks, rolling reserves, and settlements
• Work closely with compliance and operations teams

Process & Financial Infrastructure

• Build structured finance processes suitable for a payment infrastructure company
• Design reconciliation and reporting systems between PSPs, merchants, and internal platforms
• Implement financial monitoring tools and controls

• Coordinate with accounting and external finance partners where needed

   

Ideal Candidate Profile

Experience & Background

• 7+ years in finance leadership roles
• Experience as CFO / Head of Finance / Finance Director in fintech, payments, or iGaming
• Strong understanding of payment flows, PSP infrastructure, and settlement mechanics
•  Experience working with high-risk merchants (iGaming, crypto, forex, etc.) is a strong advantage
• Experience managing finance in high-volume transaction environments

Hard Skills

• Deep understanding of payment settlements and reconciliation
• Experience with PSP reporting and payment provider financial flows
• Financial modeling and forecasting in transaction-based businesses
• Strong knowledge of financial controls and operational finance
• Experience working with multi-currency payment systems

Soft Skills

• Structured and analytical mindset
• Ability to build finance systems from scratch
• Comfortable operating in a fast-moving fintech environment
• Ownership mentality - numbers must always reconcile
• Clear communicator between finance, operations, and leadership

Why Join US?

• Opportunity to build the financial architecture of a new payment company
• Direct involvement in high-risk payment infrastructure
• High-impact executive role with strategic influence
• Remote-first, performance-driven culture

If you understand how payment flows actually work - from transactions to settlements - and can bring financial clarity to high-risk fintech operations, we would love to talk.