Jobs at Djinni

We are an IT services company based in San Francisco, CA, USA. We build high-performing engineering and data teams to help our clients meet their business needs and solve operational challenges.

We are looking for an experienced Manual QA Engineer for long-term contract work to join one of our product teams.

You will be testing marketing software solutions that help home services businesses manage customers more efficiently and make it easier for homeowners to leave reviews. The role is primarily focused on testing mobile experiences across iOS and Android devices.

This position requires working hours from 3:00 PM to 11:00 PM Kyiv time.

Requirements

• 5+ years of experience in software testing
• Strong experience with manual testing of mobile applications and mobile web
• Experience testing across different devices, screen sizes, browsers, and operating systems
• Strong English communication skills and ability to work with a US-based team
• Strong knowledge of QA methodologies, tools, and processes
• Experience with API testing using Postman, cURL, or similar tools
• Experience with browser Developer Tools
• Experience with Jira or similar project management tools
• Experience creating test cases, checklists, and other QA documentation
• Experience using AI tools such as ChatGPT, Claude, GitHub Copilot, or similar tools in QA workflows
• Strong analytical and problem-solving skills
• Attention to detail and good self-management skills

Responsibilities

• Review and analyze requirements and specifications
• Design and maintain test cases and checklists
• Plan and coordinate testing activities
• Perform functional, exploratory, API, mobile, and regression testing
• Test mobile experiences across different devices and platforms
• Identify, document, and track defects
• Investigate bugs using Developer Tools, API tools, and available logs
• Work closely with developers and product team members
• Identify usability issues, edge cases, and product risks
• Recommend improvements to product quality and user experience

Turnitin is looking for an experienced Senior Software Quality Engineer to join our Integrations team. This role is ideal for a highly skilled quality professional who is passionate about building reliable, scalable, and maintainable test solutions while also bringing strong exploratory and risk-based testing skills to complex product integrations.

In this hands-on senior role, you will help ensure the quality, reliability, and stability of Turnitin’s integrations across learning platforms, third-party platforms, APIs, and customer-facing workflows. You will collaborate closely with engineers, tech leads, product managers, and other stakeholders to define test strategies, improve automated coverage, strengthen automated testing and reporting within CI/CD pipelines, and support confident software releases.

Responsibilities

• Collaborate closely with engineers, tech leads, product managers, and other stakeholders to deliver high-quality products and services.
• Develop and execute comprehensive test strategies, test plans, and test cases for integration features, APIs, UI workflows, and customer-facing journeys.
• Design, develop, and maintain robust automated end-to-end tests within the existing Java/Selenium automation stack, while evaluating and introducing modern automation tools and approaches where appropriate.
• Apply strong programming skills, including object-oriented programming concepts and design patterns, to create maintainable automated test code and contribute to code reviews for automated tests and quality-related changes.
• Perform manual, exploratory, regression, smoke, and risk-based testing across complex product and platform workflows.
• Conduct API and web service testing and integrate automated tests effectively into CI/CD pipelines.
• Investigate automated test failures, flaky tests, production issues, and integration defects, providing clear root-cause analysis and actionable recommendations.
• Generate, maintain, and improve test reports, dashboards, and quality metrics to support engineering and release decision-making.
• Participate in the assessment and adoption of emerging automation tools, including modern browser automation frameworks and AI-assisted engineering tools.
• Review requirements, acceptance criteria, technical designs, and user stories to identify risks and quality gaps early in the development process.
• Mentor and support other quality engineers, sharing knowledge and helping improve automation, testing practices, and overall quality capability within the team.

• Communicate effectively across teams and stakeholders, with strong attention to detail in documentation, investigation notes, and reporting.

   

Requirements

• Strong professional experience in software quality engineering, including automation, manual, exploratory, regression, and risk-based testing.
• Strong programming experience with Java.
• Strong understanding of object-oriented programming concepts, clean code principles, and design patterns as applied to test automation.
• Extensive hands-on experience with UI end-to-end automation, including Selenium WebDriver.
• Strong experience with API and web service testing using tools or libraries such as REST Assured, Postman, curl, or similar.
• Experience designing, developing, maintaining, or significantly contributing to scalable test automation frameworks.
• Experience using AI coding agents or AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or similar.
• Experience integrating automated tests into CI/CD pipelines using tools such as GitHub Actions, Jenkins, TeamCity, or similar.
• Experience developing test strategies, test plans, and test cases for complex software systems.
• Strong analytical and troubleshooting skills, with experience analysing automated test results, investigating failures, identifying flaky tests, and improving test reliability.
• Experience testing SaaS products, distributed systems, microservices, integrations, or complex web applications.
• Experience working with logs, monitoring tools, test reports, dashboards, and other diagnostic sources to support investigation and decision-making.
• Experience with test management and reporting tools such as Xray, Allure, TestRail, Jira, or similar.
• Experience with Git-based development workflows, including pull requests, code reviews, branching, and collaboration with engineers.
• Strong written and verbal English communication skills, with the ability to explain quality risks, testing outcomes, and technical findings clearly.
• Ability to work effectively in distributed, cross-functional teams across multiple locations and time zones.

Nice to Have

• Experience with Playwright or other modern browser automation frameworks.
• Experience with native mobile testing, including mobile test automation using Appium.
• Experience testing integrations with Learning Management Systems or other third-party platforms.
• Experience with LTI standards, SSO, REST APIs, event-driven systems, or data synchronization workflows.
• Knowledge of cloud computing platforms such as AWS.

Fintech / Payments | UK & Europe
About the Company
We are an international payments company with more than five years of experience in the UK market, providing
payment solutions for international businesses.
At this stage of our growth, we are looking to welcome a Chief Business Development Officer (CBDO) — a
senior-level payments professional with deep expertise in payments and acquiring, who will become one of the
key drivers of the company’s future growth.
This is not a traditional sales role. The position combines business growth strategy, client and partner
acquisition, product development, and building an effective business function.
Key Responsibilities
• Define and execute the business growth strategy, identifying new markets, merchant segments, verticals,
products, and partnership opportunities.
• Attract new clients and strategic partners, leverage a strong professional network, and convert new
opportunities into tangible payment volumes and revenue.
• Build and develop relationships with key merchants, acquiring banks, PSPs, processors, and other players
across the payments ecosystem.
• Lead key commercial negotiations and drive opportunities from initial engagement through launch and
measurable business results.
• Understand market and merchant needs and work closely with Product and Technology to shape the
product proposition and develop new payment capabilities.
• Drive strategic initiatives cross-functionally with Product, Operations, Technology, Risk, and Compliance.
• Build and develop the business function, including teams, structure, processes, ownership, and
performance accountability.
Must Have
• Senior-level experience in payments, acquiring, PSP, fintech, or EMI, with a strong understanding of
merchant acquiring and the wider payments ecosystem.
• Strong track record in Business Development, strategic partnerships, and market expansion.
• Proven experience in acquiring new clients and partners and launching or scaling new commercial
initiatives.
• Strong understanding of payment products and the ability to connect market needs with product
development and commercial outcomes.
• Experience leading teams and building or scaling business functions, including organisational structure,
processes, ownership, and performance management.
• Ability to combine strategic thinking with hands-on execution and consistently turn initiatives into
measurable results.
• Fluent English.
Nice to Have
• A strong existing network across the payments industry, including merchants, acquiring banks, PSPs, and
other strategic partners.
• Experience working with regulated, complex, or high-risk merchant segments.
• Experience in international and cross-border acquiring.
• P&L ownership or responsibility for the overall financial performance of a business or commercial function.
• Previous experience as a CBDO, CCO, Chief Growth Officer, Managing Director, General Manager, or in
another role with broad business ownership.
• Russian and/or Ukrainian language skills.
Who We Are Looking For
We are looking for more than a strong sales leader. We need someone who can see the business as a whole —
identify where the company should grow next, bring new business opportunities, clients and strategic partners,
understand market and product needs, and build the internal capabilities required to turn those opportunities
into sustainable growth.
As the business continues to grow, the role offers significant potential to expand both its scope of
responsibility and overall impact.

Why this role exists
So far, the founders have handled hiring and HR on top of everything else, and we've reached the point where that no longer works. Our biggest challenge is recruitment: finding exceptional security engineers. We need someone who will own hiring end-to-end and proactively find people others can't. Alongside that, you'll take over core HR processes such as performance reviews, onboarding, and retention, and keep them lightweight and fitted to our size.

What you'll do

Recruitment (about 50–60% of the role at the start)

• Rebuild our hiring process so it focuses on finding talent, not just moving people through stages.
• Own screening and HR interviews so that only strong, well-matched candidates reach the technical team.
• Source proactively: find new channels and communities where security talent lives, and don't wait for applications.
• Run hiring for non-technical roles (sales, marketing, operations) end-to-end.
• Clean up our candidate database and make it a usable talent pool.

People operations and HR

• Run lightweight performance reviews, onboarding, and payroll coordination with our accountants.
• Help us keep key people happy and growing.
• Run the everyday people experience: work anniversaries, holidays, and team events, done with care.

Employer brand

• Help build Iterasec's reputation as a place where strong security engineers want to work, through content, community, events, and university ties.

What we're looking for

• 2–4 years in recruitment, including at least 1.5 years in IT or tech companies.
• A track record of closing hard technical roles (security, DevOps, senior engineers, or other niche profiles) through active sourcing, not only inbound applications.
• Sourcing skills: LinkedIn, professional communities, events, and referrals.
• Ability to assess candidates beyond the CV and spot real talent early.
• Experience setting up at least some HR processes (performance reviews, onboarding, engagement), not only following existing ones.
• Comfort working as a one-person HR function in a small company: you are both the strategist and the executor.
• Fluent in Ukrainian and good English (B1+).

Nice to have

• Experience in cybersecurity, IT services, or other niche technical hiring.
• Employer branding or recruitment marketing experience.

What we offer

• Competitive salary
• Social package (paid vacation and sick days, sports and learning budget, English lessons, medical expenses compensation)
• Real ownership: you shape the function from scratch, with direct access to the CEO.
• Professional, low-bureaucracy culture: a small team of strong specialists, clear internal processes, and quick decisions without layers of approval.
• Meaningful domain: you'll work with some of the best security engineers in Ukraine, in a niche where finding and keeping talent really matters.

We are looking for a Chief BD Manager (miltech) for our client — a leading international company developing defense technology solutions in Ukraine.

The company is scaling production of interceptor drones and UAVs for the defense forces and is now building its commercial function in Ukraine from the ground up.

This is a role for an experienced business development professional ready to own the full cycle of work with military tenders and state procurement — from opportunity identification to contract signing.

In this role, you will be responsible for:

• Leading business development with the Ministry of Defense, military units, and defense procurement bodies.
• Managing the full cycle of military tenders and state procurement — from opportunity identification to contract award.
• Building and maintaining relationships with key decision-makers across the Armed Forces, Brave1, and related defense-tech institutions.
• Developing and executing a go-to-market strategy for the company’s interceptor and UAV product lines.
• Negotiating and closing contracts with military and governmental counterparties in compliance with Ukrainian procurement law.
• Representing the company at industry events, briefings, and negotiations with military and government stakeholders.
• Analyzing the market: procurement pathways, competitor activity, evolving needs of the defense sector.
• Working closely with engineering and production teams to align commercial commitments with delivery capacity.

Qualification criteria:

• Proven experience with military tenders and defense procurement processes in Ukraine.
• 2+ years of experience in business development within the military/defense sector.
• Strong understanding of the Ukrainian defense ecosystem, including the Ministry of Defense, Brave1, and procurement/codification procedures.
• Demonstrated track record of building relationships with military and governmental decision-makers.
• Strong negotiation, presentation, and stakeholder management skills.
• Basic English proficiency.

Nice to Have:

• Prior experience in a UAV, drone, or broader defense-tech company.
• Existing network within military units, Brave1, or defense procurement bodies.
• Experience with international grant programs or partnerships in the defense sector.

Working Conditions:

• Convenient office in the center of Kyiv.
• Direct engagement with the company’s leadership and its defense-tech portfolio.
• Competitive compensation aligned with market rates for this position.
• Opportunity to shape the commercial strategy of a rapidly scaling defense-tech business from an early stage.

N-iX is looking for a Senior Applied ML Engineer to support our client's Data Licensing team, which develops training datasets for frontier AI labs. You will evaluate and productionise existing ML models and services to deliver customer-requested metadata enrichment for data licensing opportunities, supporting the next generation of AI applications.

Responsibilities:

• Partner with the Principal Data Scientist and Principal Data Engineers, senior technical leaders and data scientists to implement and evolve model-evaluation and productionisation standards; independently own assigned enrichment workflows from evaluation through production delivery.
• Evaluate candidate models on representative content, using appropriate quality measures and threshold analysis to support selection and release decisions.
• Develop tested, maintainable Python inference components that conform to shared engineering frameworks, metadata contracts and deployment standards.
• Support ad-hoc metadata backfills by validating model outputs, estimating inference cost and throughput, and resolving model-specific processing issues.
• Work with data engineers to move enrichment components from representative evaluation to reliable corpus-scale execution.
• Assess model licensing, data-handling constraints and provenance requirements, ensuring enrichment outputs are reproducible and suitable for commercial use

Requirements:

• 6+ years of experience in applied ML, ML engineering, data science or software engineering, including hands-on experience delivering production ML inference systems.
• Experience evaluating pretrained or third-party ML models, defining appropriate quality metrics and operating thresholds, while balancing model quality against inference cost, throughput and operational complexity.
• Strong Python software engineering skills, including testing, packaging and dependency management.
• Hands-on proficiency with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face.
• Experience developing, deploying and maintaining high-performing, resilient and scalable ML inference systems across CPU and GPU environments in both AWS and GCP
• Experience troubleshooting and optimising model execution in distributed, cross-cloud workflows.
• Clear communication skills and experience building consensus with technical and commercial partners.

Nice to have:

• Model tracking and lifecycle tooling such as MLflow.
• Managed ML and batch-inference platforms such as SageMaker, Vertex AI or Databricks.
• Experience evaluating models for image, video or audio content.
• Experience with Snowflake, DBT or Clickhouse

N-iX is looking for Senior/Lead Data Engineer to join the team

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

We are looking for a Data / Analytics Engineer to support the client team. The role sits close to the data analysts and business stakeholders, with a primary focus on maintaining and extending the data pipelines and data models that power analytics and reporting. The core stack includes SQL, Airflow, Athena, AWS Data Lake, and AI-assisted engineering tools such as Codex.

The client is currently migrating away from DBT and Snowflake to the clients data platform. The destination cloud and data platform already exists and is operational, and the migration itself will be handled by a different team — so this is not an infrastructure or platform engineering role. Instead, we need an engineer who can understand analytics use cases, translate business requirements into robust data solutions, and work independently to get those solutions into production. Beyond the technical skills, we are looking for someone with a strong sense of ownership and engineering judgment: a person who does not simply execute a ticket or accept a blocker at face value, but actively clarifies unclear requirements, investigates problems, proposes alternatives when the obvious approach does not work, and involves the right people when decisions are needed.

Responsibilities:

• Maintain, troubleshoot, and improve existing data pipelines, and build new pipelines and datasets based on analytics and business requirements.
• Design and maintain analytical data models, including fact and dimension models.
• Ingest and integrate data from different source systems into the AWS Data Lake.
• Build, deploy, validate, monitor, and, when necessary, backfill data pipelines.
• Partner with data analysts to understand their requirements and provide reliable, easy-to-use datasets.
• Clarify requirements with business stakeholders rather than implementing ambiguous requests as-is.
• Ensure data quality through appropriate validation and testing, investigating data and pipeline issues and taking ownership of finding pragmatic solutions end to end.
• Use AI-assisted development tooling effectively while critically reviewing and validating generated solutions.

Requirements:

• Hands-on data engineering experience building and operating production data pipelines, ideally within analytics-driven environments.
• Strong SQL skills.
• Experience with data modeling for analytics, including fact and dimension tables.
• Experience with workflow orchestration, preferably Airflow.
• Experience working with AWS-based data environments, particularly Athena and AWS Data Lake.
• Experience with data validation, testing, and troubleshooting.
• Strong sense of ownership and engineering judgment: comfortable working with incomplete requirements, proactively seeking context, challenging assumptions when appropriate, and looking for practical solutions rather than stopping at the first blocker.
• Excellent verbal and written English skills, with clear communication across data analysts, engineers, and business stakeholders.

Nice to have

• Experience with data mesh architectures or working in a data mesh environment.
• Experience with marketplace, web/app, or digital analytics data.
• Experience with DBT and/or Snowflake.
• Familiarity with AI-assisted engineering tools such as Codex

N-iX is looking for a Senior Applied ML Engineer to support our client's Data Licensing team, which develops training datasets for frontier AI labs. You will evaluate and productionise existing ML models and services to deliver customer-requested metadata enrichment for data licensing opportunities, supporting the next generation of AI applications.

Responsibilities:

• Partner with the Principal Data Scientist and Principal Data Engineers, senior technical leaders and data scientists to implement and evolve model-evaluation and productionisation standards; independently own assigned enrichment workflows from evaluation through production delivery.
• Evaluate candidate models on representative content, using appropriate quality measures and threshold analysis to support selection and release decisions.
• Develop tested, maintainable Python inference components that conform to shared engineering frameworks, metadata contracts and deployment standards.
• Support ad-hoc metadata backfills by validating model outputs, estimating inference cost and throughput, and resolving model-specific processing issues.
• Work with data engineers to move enrichment components from representative evaluation to reliable corpus-scale execution.
• Assess model licensing, data-handling constraints and provenance requirements, ensuring enrichment outputs are reproducible and suitable for commercial use

Requirements:

• 6+ years of experience in applied ML, ML engineering, data science or software engineering, including hands-on experience delivering production ML inference systems.
• Experience evaluating pretrained or third-party ML models, defining appropriate quality metrics and operating thresholds, while balancing model quality against inference cost, throughput and operational complexity.
• Strong Python software engineering skills, including testing, packaging and dependency management.
• Hands-on proficiency with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face.
• Experience developing, deploying and maintaining high-performing, resilient and scalable ML inference systems across CPU and GPU environments in both AWS and GCP
• Experience troubleshooting and optimising model execution in distributed, cross-cloud workflows.
• Clear communication skills and experience building consensus with technical and commercial partners.

Nice to have:

• Model tracking and lifecycle tooling such as MLflow.
• Managed ML and batch-inference platforms such as SageMaker, Vertex AI or Databricks.
• Experience evaluating models for image, video or audio content.
• Experience with Snowflake, DBT or Clickhouse

N-iX is looking for Senior/Lead Data Engineer to join the team

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

We are looking for a Data / Analytics Engineer to support the client team. The role sits close to the data analysts and business stakeholders, with a primary focus on maintaining and extending the data pipelines and data models that power analytics and reporting. The core stack includes SQL, Airflow, Athena, AWS Data Lake, and AI-assisted engineering tools such as Codex.

The client is currently migrating away from DBT and Snowflake to the clients data platform. The destination cloud and data platform already exists and is operational, and the migration itself will be handled by a different team — so this is not an infrastructure or platform engineering role. Instead, we need an engineer who can understand analytics use cases, translate business requirements into robust data solutions, and work independently to get those solutions into production. Beyond the technical skills, we are looking for someone with a strong sense of ownership and engineering judgment: a person who does not simply execute a ticket or accept a blocker at face value, but actively clarifies unclear requirements, investigates problems, proposes alternatives when the obvious approach does not work, and involves the right people when decisions are needed.

Responsibilities:

• Maintain, troubleshoot, and improve existing data pipelines, and build new pipelines and datasets based on analytics and business requirements.
• Design and maintain analytical data models, including fact and dimension models.
• Ingest and integrate data from different source systems into the AWS Data Lake.
• Build, deploy, validate, monitor, and, when necessary, backfill data pipelines.
• Partner with data analysts to understand their requirements and provide reliable, easy-to-use datasets.
• Clarify requirements with business stakeholders rather than implementing ambiguous requests as-is.
• Ensure data quality through appropriate validation and testing, investigating data and pipeline issues and taking ownership of finding pragmatic solutions end to end.
• Use AI-assisted development tooling effectively while critically reviewing and validating generated solutions.

Requirements:

• Hands-on data engineering experience building and operating production data pipelines, ideally within analytics-driven environments.
• Strong SQL skills.
• Experience with data modeling for analytics, including fact and dimension tables.
• Experience with workflow orchestration, preferably Airflow.
• Experience working with AWS-based data environments, particularly Athena and AWS Data Lake.
• Experience with data validation, testing, and troubleshooting.
• Strong sense of ownership and engineering judgment: comfortable working with incomplete requirements, proactively seeking context, challenging assumptions when appropriate, and looking for practical solutions rather than stopping at the first blocker.
• Excellent verbal and written English skills, with clear communication across data analysts, engineers, and business stakeholders.

Nice to have

• Experience with data mesh architectures or working in a data mesh environment.
• Experience with marketplace, web/app, or digital analytics data.
• Experience with DBT and/or Snowflake.
• Familiarity with AI-assisted engineering tools such as Codex

🎯 Role Overview

We are looking for a Payment Product Manager to join our Payment Team.
In this role, you will be responsible for managing and improving integrations with third-party payment systems and providers to ensure seamless, secure, and efficient payment flows for our users.
You will work at the intersection of product, technology, and business — defining requirements, managing integrations, and ensuring a reliable and user-friendly payment experience across the platform.

⚙️ Your Tasks:

• Own and develop the payment product inside the cashier, focusing on usability, conversion, and stability.
• Define and prioritize product requirements for payment features based on business goals, user behavior, and data.
• Work closely with design and development teams on UX flows and cashier experience (deposit, withdrawal, confirmations, errors).
• Analyze key payment metrics (conversion, approval rate, drop-offs, success rate, funnel performance) and identify growth opportunities.
• Initiate and run UX research (user feedback, flow analysis, hypotheses validation) to improve payment journeys.
• Translate business and user needs into clear product specifications and documentation.
• Participate in testing and release validation, ensuring features work as expected from a user and product perspective.
• Collaborate with stakeholders (payments, finance, tech, business) to align priorities and roadmap.
• Support payment integrations at a product level (requirements, validation, acceptance), while technical implementation is handled by a dedicated specialist.

👤 Our criteria:

• 2+ years of experience as a Product Manager, ideally in payments, fintech, or iGaming.
• Hands-on experience working with cashiers or payment-related products.
• Strong understanding of payment funnels, UX flows, and conversion metrics.
• Experience working with product analytics and making data-driven decisions.
• Ability to formulate clear product requirements and documentation.
• Experience collaborating with cross-functional teams (design, tech, payments, business).User-focused mindset with attention to detail and impact.
• English level Upper-Intermediate or higher.

Your Strengths:

• You have a good balance of technical understanding and business perspective.
• You can turn complex payment flows into simple, reliable solutions.
• You’re proactive in identifying issues before they impact users.
• You value clarity, precision, and quality in both code and process.

💼 Our offer:

• We are global, we don’t stick to office or remote options only.
• We value work-life balance and start anytime from 8 to 11, with flexible lunchtime.
• We trust each other and provide unlimited vacation days and sick-leaves.
• We support our people and provide relocation options for team members, who are interested.
• We encourage growth and cover 50% of learning expenses.
• We hold yearly performance reviews to help our team members grow and reach new heights, and reward results with regular performance bonuses.
• We believe in potential and prefer to promote internally, giving everyone a chance to prove themselves, and building our company around talents above anything else.
• We are small enough to hear the opinion of every team member, and already big enough to act on the best ideas — an opportunity to have a visible and immediate impact.
• We celebrate our team with corporate gifts and thoughtful appreciation throughout the year.

Payment Analyst

We are looking for a Payment Analyst who will be responsible for tracking, calculating and reconciling all payment-related financial data.

The main responsibility of this role is to maintain accurate calculations of payment processing costs, refunds, chargebacks, alerts, PSP fees, reserves and settlements, and ensure that all payment-related expenses are correctly reflected in the company's financial reporting.

This role is similar to a financial accountant focused on payment processing.

The ideal candidate should be comfortable working with large amounts of transaction data, Excel / Google Sheets and reports from multiple PSPs and payment providers.

Experience with payment processing is a strong plus, but we are also open to strong financial analysts or accountants who are willing to learn the specifics of the payment industry.

Key Responsibilities

1. Payment Financial Accounting

Track and calculate all financial data related to payment processing, including:

• Payment volume.
• Number of transactions.
• Processing fees.
• PSP fees.
• Gateway fees.
• MDR.
• Refunds.
• Refund fees.
• Chargebacks.
• Chargeback fees.
• Chargeback alert fees.
• 3DS-related fees.
• Rolling reserves.
• Other payment-related expenses.
• PSP settlements and payouts.

The main goal is to ensure that every payment-related cost is correctly calculated and included in the financial model.

2. Refund & Chargeback Calculations

Maintain accurate calculations for:

Refunds:

• Refunded transaction amount.
• Refund fees.
• Non-refundable processing fees.
• Related costs where applicable.

Chargebacks:

• Chargeback transaction amount.
• Chargeback fees.
• Alert fees.
• Other related costs.

The analyst should calculate the total financial impact of refunds and chargebacks rather than simply recording their number.

3. Payment Fees & Commissions

Track and calculate all commissions and fees charged by PSPs and payment providers.

This includes:

• Fixed transaction fees.
• Percentage-based processing fees.
• MDR.
• PSP commissions.
• Gateway fees.
• Refund fees.
• Chargeback fees.
• Alert fees.
• Other provider fees.

We're an early-stage product company building an AI-powered analytics platform for the iGaming industry. Users get answers from their data in plain English — an LLM turns questions into validated SQL over a large data warehouse — alongside a set of analytics dashboards and data pipelines. It's live in production.

You'd be our first dedicated engineer, working directly with a technical founder (product) and an experienced CTO (architecture + code review) — with a real path to Tech Lead as the team grows. You won't be flying solo, and you'll help shape the architecture, not just maintain it.

What you'll do

• Build and ship features across the backend and the dashboard.
• Write correct, performant SQL against a large Postgres warehouse — the numbers drive real decisions.
• Extend the LLM→SQL pipeline and the analytics APIs behind the product.
• Own reliability, testing, and deploy stability as we scale.

• Maintain and extend the React / TypeScript front end.

   

Stack

• Backend: Python 3.12 + FastAPI (async, SQL-first with asyncpg — no ORM).
• Data: large Azure PostgreSQL warehouse (tens of millions of rows) + nightly aggregation pipelines.
• AI: Anthropic Claude (natural-language → SQL, agent workflows).
• Frontend: React 18 + TypeScript + Vite, shadcn/ui + Tailwind, TanStack Query, Recharts.
• Infra: Azure, Redis, Docker, GitHub Actions.

Note: the data-science/ML models are owned by the founder — you won't build or maintain those.

You'll thrive here if you have

• Strong SQL and relational-DB skills (Postgres a plus) — the single most important thing.
• Solid Python, ideally with an async framework (FastAPI).
• Good React + TypeScript.
• A correctness-first instinct for data, and the ability to pick up a fast-built codebase and make it solid.

• Comfort with cloud + CI/CD (Azure a plus) and Docker.

   

Nice to have

• LLM app experience (Anthropic/OpenAI, NL→SQL, RAG).
• Data engineering / BI / warehousing background.
• iGaming, fintech, or marketplace domain experience.

Why join

• A live, revenue-generating product — early enough to shape it.
• A clear growth path to Tech Lead.
• Modern stack: large data warehouse + production LLM pipeline + polished React app.
• Real support: a technical founder on product, an experienced CTO on engineering.

About Us

ElevateOS is the all-in-one operating system for multifamily communities that combines a custom resident application and property management hub with hotel-style concierge and on-demand services, smart home integrations and management features. Since 2014, we've helped residents love where they live, and property teams run smarter. As of now, we power 600+ buildings nationwide and continue to grow through both technology innovation and strategic acquisitions. We are not just a software company, we are in the business of making people feel at home.

About the Role
We're looking for a technically strong Senior QA Engineer who combines solid manual testing expertise with hands-on test automation skills. You'll own quality across ElevateOS: our resident mobile app, property management web platform, APIs and smart home integrations.

We believe that with today's AI tools, a technically skilled QA engineer can build and scale automated end-to-end coverage much faster than before, and that's exactly what we need you to do.

How you'll start

• Onboard to the product and team
• Test 1-2 epics manually to learn the domain and key user flows
• Move on to designing and building automated E2E test scenarios, keeping manual testing focused and efficient so automation keeps moving

What technologies do we use?

Our primary technology stack revolves around JS. We use React for Front-end, Node.js for Backend and React Native for mobile development. All of our projects run on TypeScript, built by Docker and tested with Jest and react-testing-library.

What skills are essential to us?

• 4+ years in QA, at least 2 of them at a senior level
• Strong manual testing skills: web, mobile, API and requirements testing
• Hands-on experience building and maintaining automated E2E tests (Playwright, Cypress, WebdriverIO or similar)
• Working knowledge of JavaScript/TypeScript: you can read, write and debug test code
• Active use of AI tools (e.g. Claude, Copilot, Cursor) to generate, refactor and maintain test cases and automation code
• Solid knowledge of testing methodologies and test design techniques
• Experience with API testing tools (Postman or similar), browser DevTools and Git
• Clear test documentation and bug reports
• Upper-intermediate English or higher

Good to have

• Mobile automation (Detox, Appium, Maestro)
• Running tests in CI/CD (CircleCI, GitHub Actions)
• Basic SQL
• Experience testing IoT or smart home integrations

What will your responsibilities include?

• Designing, building and maintaining automated E2E test scenarios for web and mobile
• Using AI tools to speed up test creation and grow automation coverage
• Analyzing requirements and raising questions early
• Manual and exploratory testing of new features where needed
• Verifying multi-device and cross-platform consistency
• Helping shape the QA automation approach and integrating tests into CI
• Taking part in planning and giving quality-focused feedback to the team

AI Product Manager - You Define It, You Build It (Insurance)

| Full time | Remote (Europe, CET overlap) | Occasional travel | Start: ASAP | 7+ years XP

The bottleneck in software is no longer building it. It is knowing what is worth building.

Someone who deeply understands a business can now sit down with Claude Code and have a real product in production by the end of the week. You bring the business judgement. Claude Code handles the technical details.

What you'll work on

Insurance is one of the oldest, most paper-heavy industries there is. We are rebuilding it with AI first tooling. Real customers, real money, real regulation. Small team, no sprints, no rituals. An idea in the morning is often live by the evening.

The role

You own a whole product area end to end: why we build it, what it is, the build, the tests, the rollout. There is nobody that hands you a spec.

Must have

- Insurance industry experience

- 7+ years in product management or a similar business role where you owned what users received

- A real software product you delivered to real users

- Your own hands-on Claude Code work. Something you built yourself, not your team

German language is a plus, not required.

Bright Gaming Graphic Design Manager

Who is Bright Gaming?

Bright Gaming is a powerhouse of digital marketing specialists bringing fun online casino experiences to the online gambling world.

Bright Gaming provides players with an entertaining place to spend their time while being guided through the levels of the VIP program, receiving exciting bonuses as they go. With an ever growing digital presence in the casino world, we are looking for someone with a drive for results and success to take our brand to the next level.

Role Overview

Reporting to the Chief Operating Officer you will work closely with the team in helping to build out visuals of our casino site promotions across all touchpoints. You will be responsible for brand designs and filtering this through to both email and affiliate creative while creating an exciting look and feel to the website. Further development of the brand character will be a big part of the role bringing the brand personality to life.

This role will suit a motivated, passionate and proactive person wanting to be a part of a fast paced digital business. Demonstrating a keen eye for aesthetics and attention to detail, ensuring high-quality graphics that meet client requirements and exceed expectations.

Responsibilities

Design assets/banners for onsite promotions and email campaigns

Development of the brand character, enabling the character to adapt to different poses and themes

Adapting and optimising graphics for different screen sizes and resolutions to ensure seamless visibility on various devices

Working with the marketing team to produce affiliate banners and landing pages

New website page designs along with optimising existing pages

Requirements

At least 2-years experience as a Graphic Designer

The ability to to take an idea and turn it into a physical design

Exceptional creativity and innovative design skills

Knowledge of different screen resolutions and able to adjust designs to fit

Previous experience using Figma, Photoshop and Illustrator in order to adapt the brand character into different surroundings / movements

Good spoken English and communication skills

Proactive, meticulous, and organised

Experience in creating 3D characters a plus but must be able to manipulate character design

Great organisation and prioritisation skills

What We Can Offer:

Remote working

Flexible working hours

Company Performance Bonuses