Jobs at Djinni

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 AI Product Manager / Senior Product Manager to join the team

About the Role:

AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications.

We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice.

In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context.

About the Client:

Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software.

Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc.

Responsibilities:

• Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives.
• Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices.
• Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership.
• Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines.
• Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle.
• Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents.
• Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality.
• Coordinate and execute releases planning and scope management
• Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers.
• Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication.
• Produce executive-level product roadmaps reports aligned to Company’s brand guidelines.
• Identify, track, and escalate risks and dependencies in the delivery timeline.
• Maintain the consumer-facing UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers.
• Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria.

Requirements:

Product Ownership

• 5+ years of experience as a Product Owner or Product Manager in a software engineering environment.
• Proven track record of managing complex backlogs with competing priorities across multiple workstreams.
• Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas.

AI & Technical Fluency

• Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts.
• Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams.
• Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM.

Stakeholder & Delivery Management

• Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model.
• Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers).
• Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation.

Communication & Documentation

• Excellent written and verbal communication in English (business-level required; C1+).
• Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations.

Nice to have:

• Experience with UI platform or design system products (component libraries, Stencil.js, web components).
• Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns.
• Background working within large enterprise engineering organisations.
• Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting.
• Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports).

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

Inception-1 is a product company that creates AI-driven B2C products designed to help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy and to prove that technology can be both human and transformative.
GetHoney is our AI-driven product, and we’re looking for a Senior Product Engineer with a strong C#/.NET background and commercial frontend experience with React or another modern JavaScript/TypeScript framework.
This is not a feature-delivery role. We’re looking for an engineer who wants to understand the user problem, challenge solutions, make technical and product decisions, ship features end-to-end, and evaluate their impact after release.
You’ll be responsible for solving complex user problems and delivering meaningful product value end-to-end — from understanding the problem and shaping the solution to implementation, deployment, and post-release analysis.

If you want to own product outcomes, not just implementation, and build with an AI-first mindset, we’d love to hear from you!
 
Must-have skills:
 

• Proven ability to own and ship user-facing product features end-to-end — from problem definition and technical decisions to release and post-launch analysis.
• Strong hands-on experience with C#/.NET and building production backend systems.
• Commercial frontend development experience with React or another modern JavaScript/TypeScript framework.
• Experience working in a product company and building software used by real customers.
• Hands-on experience integrating LLMs and AI APIs into production applications.
• Hands-on experience with agentic engineering — designing and using AI-agent workflows, coding agents, and LLM-based automation in real development processes.
• Product development skills:
  • Strong grasp of product analytics;
  • Product features design and testing experience.
• Solid system design fundamentals. 

Key responsibilities for the first 6 months:
 

• Ship 15–20 meaningful product experiments.
• Implement agile but stable solutions for engaging conversational model, voice generation, interactive calls, etc.
• Improve retention and activation metrics.
• Design and maintain an experimentation framework (A/B testing, rapid iteration).
• Work across product, design, and research to turn insights into shipped features.
• Participate in user interviews and discovery sessions.
   

What makes you successful in this role:
 

• You have a strong product mindset and take ownership from idea to impact.
• You’re comfortable working in ambiguity and early-stage environments.
• You have high emotional intelligence and empathy for users.
• You care not only about shipping fast, but about shipping the right thing.
   

What we offer:

• Flexible work schedule and remote-friendly culture.
• Online services of a corporate doctor, and after the probationary period — health insurance in Ukraine.
• 20 working days of paid vacation per year, unlimited sick leave.
• All equipment necessary for work.
• Compensation for the best courses on the market, corporate online meetups and lectures, a large library, business and management schools for employees.

About the Project

DataImpulse is a global proxy services provider with over 147,000 customers worldwide. We offer residential, mobile, and datacenter proxies, with plans starting at $1/GB.

We are currently looking for a Senior Sales Manager to take ownership of the full B2B sales cycle — from lead qualification and initial outreach to negotiations, closing deals, and securing the first payment.

Responsibilities

• Handle and qualify inbound leads and establish initial contact.
• Manage the full sales cycle: conduct demos, provide technical consultations, negotiate commercial terms, and close deals through to the first payment.
• Work closely with Lead Generation: define the ICP and target segments, establish lead quality criteria, and provide feedback to improve lead generation.
• Participate in industry conferences and customer meetings.
• Maintain the CRM: manage the sales pipeline, provide forecasts, and track conversion rates at each stage.
• Share customer feedback with Product and Marketing teams, including customer needs, objections, reasons for churn or lost deals, and competitive advantages.
• Gradually build and optimize sales processes and, over time, build and lead your own sales team.

Requirements

• 3+ years of experience in B2B sales within SaaS, IaaS, infrastructure, or other technical products.
• C1+ English: fluent spoken English and confident communication in negotiations.
• Location: Europe or the US.
• Willingness to travel 4–6 times per year for conferences and customer meetings. A valid passport and the ability to travel internationally are required.
• Willingness to dive deep into the technical side of the product and understand how proxies work, their key use cases, and related technologies.
• Hands-on experience using AI in your work, including call preparation, communication personalization, call analysis, and CRM workflows. You should be ready to demonstrate specific examples and measurable results.
• Experience working with HubSpot.
• Independence and the ability to work without an established team or predefined processes.
• Strong initiative and ownership: you identify opportunities for improvement and independently drive them forward.
• Strong negotiation and closing skills, including the ability to re-engage and revive “stalled” conversations.
• A structured approach to managing multiple deals simultaneously, with strong attention to detail across CRM records, contracts, commercial terms, and communication.
• Ability to build and maintain long-term customer relationships.

Nice to Have

• Experience in the proxy, web scraping, or data collection industry.
• Experience selling to technical decision-makers.
• Team Lead or mentoring experience.
• Experience building sales processes from scratch.

What We Offer

• Flexible start time and a fully remote work format.
• A team that supports initiative and professional growth.
• The opportunity to work with modern AI tools.
• Official employment, paid vacation, and sick leave.
• A budget for training and professional development.
• The opportunity to directly influence sales processes and gradually build your own team.

We are looking for a hands-on Senior Linux / Web Hosting Engineer to manage and optimize client hosting infrastructure, primarily focused on WHM/cPanel, Plesk, and WordPress/WooCommerce environments.

This role is ideal for someone with strong systems administration and web hosting experience, complemented by the ability to support DevOps practices including CI/CD, automation, and site reliability.

Key Responsibilities

Infrastructure & Systems

• Manage and maintain Linux-based servers (LAMP/LEMP stack)

• Administer and optimize WHM/cPanel and Plesk environments

• Perform server provisioning, configuration, and patching

• Monitor system health, uptime, and performance

WordPress & WooCommerce

• Optimize WordPress and WooCommerce performance under load

• Troubleshoot slow queries, plugin conflicts, and scaling issues

• Implement caching strategies (Redis, Memcached, OPcache)

Security & Hardening

• Implement server and application-level security best practices

• Configure and maintain firewalls (iptables, CSF), fail2ban, and malware scanners• Handle incident response and remediation

Email & Deliverability

• Configure and troubleshoot mail systems within WHM/Plesk

• Improve email deliverability (SPF, DKIM, DMARC)

• Diagnose and resolve spam or blacklisting issues

Database & Performance

• Optimize MySQL/MariaDB performance

• Analyze slow queries and improve database efficiency

• Tune Apache/Nginx and PHP-FPM for performance

Backup & Reliability

• Design and maintain backup and disaster recovery strategies

• Ensure high availability and minimal downtime

Communication

• Coordinate with development team and stakeholders

• English mastery (written and verbal) is essential for clear documentation and reporting

Required Skills & Experience

• 5+ years of experience in Linux system administration

• Strong hands-on experience with WHM/cPanel and/or Plesk

• Strong expertise in LAMP/LEMP stack (Linux, Apache/Nginx, MySQL, PHP)

• Proven experience supporting WordPress/WooCommerce in production

• Solid understanding of DNS, SSL, HTTP(S), and email systems

• Experience with server security hardening and monitoring

• Strong troubleshooting and debugging skills

• Bash scripting

Preferred Skills

• Experience with Cloudflare or CDN optimization

• Familiarity with basic CI/CD workflows

• Experience with Docker (light usage)

• Advanced scripting (Python, Perl, or PHP)

• PCI compliance knowledge

• Experience with monitoring tools and observability

We offer:

• Long-term contract

• 100% Remote position

📋 Role Overview

We’re looking for a Middle QA Engineer to join our team working on a humanitarian transparency platform.

You’ll work closely with the QA Lead and the product team, combining manual testing with test automation. You’ll help maintain and improve QA processes, ensure reliable releases, and test web applications, APIs, and integrations between services. Part of the platform's data is also shared with a companion service through its own APIs — from a testing perspective, this is treated like any other backend integration: verifying request/response contracts and data consistency between services, not specialized protocol-level work.
 

🧙‍♂️In this role, you will

• Build the QA process from scratch together with the QA Lead — test strategy, documentation, tooling.
• Perform functional, regression, exploratory, and cross-browser testing.
• Build and maintain automated tests for key regression and smoke scenarios.
• Report, verify, and track defects through resolution.
• Verify APIs via DevTools / Postman — payload, response, status codes, error handling.
• Create and maintain QA documentation: test plans, checklists, test cases, regression reports, release notes.
• Document your work and support knowledge sharing within the team.
• Plan and run release regression cycles, prioritize coverage by risk under the timebox.
• Test integration points between the platform and other backend services it exchanges data with — request/response contracts, data consistency across the API boundary, and how failures/retries are handled.
• Extend existing API test coverage to new services and endpoints as they're added, verifying that data passed between services arrives complete and unchanged.

🎯You may be interested if

• You want to be truly responsible for quality on the product, not just execute tasks — building the QA process and keeping it in shape as the platform evolves.
• You're comfortable working across both manual and automated testing.
• You take ownership of quality end-to-end, not just finding bugs.
• You enjoy setting up QA processes and documentation from scratch.
• You're excited to collaborate in a remote, cross-functional environment.
• You value autonomy, clear communication, and working in a supportive, small-team setting.

👌 Role Requirements

• 2–3+ years of experience in QA for web applications.
• Strong manual testing skills: functional, regression, exploratory.
• Hands-on experience with test automation (Playwright, pytest, or similar).
• API testing experience (Postman or similar).
• Confident with browser DevTools.
• Ability to work independently within agreed priorities and escalate risks early.
• Familiarity with Agile/Scrum delivery methodology.
• Experience creating and maintaining QA documentation (test plans, checklists, reports).
• Familiarity with data-heavy interfaces.
• English proficiency at B2 level or higher.

Nice to have:

• Experience testing PWA or mobile web applications.
• Familiarity with CI/CD pipelines and integrating tests into them.
• Experience with performance or load testing basics.
• Experience with security testing basics.
• Background in projects involving data-heavy or dashboard-style interfaces.
• Experience organizing test cases in a test-case management system (e.g., QA Sphere, TestRail, or similar).
• Exposure to blockchain/Web3 concepts is a plus, not required.

💻 Working Conditions

• Employment Type: Full-Time
• This is a fully remote position with the entire team across Ukraine.
• 20 working days of paid vacation per year.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• People over process — we have structure, but we don't let it get in the way of common sense.
• Transparency — we build a transparency platform, and we operate the same way internally. No hidden agendas, no politics.
• Quality as a culture, not a checkbox — we believe quality is everyone's responsibility, and you'll be driving it day to day together with the QA Lead.
• Flexible working hours to promote a healthy work-life balance.

🎯 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.

Position Overview

We are looking for a Junior SRE / DevOps Engineer to join our infrastructure team and help support Kubernetes environments, CI/CD pipelines, application deployments, and production systems.

This role is a good fit for someone who already has basic hands-on experience with Linux, containers, Kubernetes, and CI/CD and wants to grow into an SRE / DevOps position.

Responsibilities

• Support Kubernetes-based environments.
• Assist with application deployments and CI/CD pipelines.
• Work with Jenkins pipelines.
• Support Java application build processes using Maven (mvn).
• Help troubleshoot deployment and infrastructure issues.
• Monitor applications and infrastructure.
• Work with logs, metrics, and alerts.
• Assist with infrastructure automation.
• Maintain technical documentation.
• Work with developers and senior DevOps/SRE engineers on production issues and improvements.

Required Skills

• Basic Linux administration skills.
• Basic understanding of Kubernetes.
• Understanding of Docker and containers.
• Basic experience with Jenkins or another CI/CD system.
• Basic understanding of Maven (mvn) and Java application build processes.
• Understanding of Git.
• Basic networking knowledge: DNS, TCP/IP, HTTP/HTTPS.
• Ability to read logs and troubleshoot basic application or infrastructure issues.
• Basic scripting skills with Bash or Python.
• Willingness to learn and work with production infrastructure.

Nice to Have

• Experience with Helm.
• Experience with Prometheus and Grafana.
• Basic knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Terraform or other Infrastructure-as-Code tools.
• Knowledge of Dremio.
• Basic understanding of Apache Arrow.
• Experience with PostgreSQL or object storage.
• Understanding of SRE concepts such as monitoring, alerting, availability, and incident response.

What We Expect

We do not expect a Junior engineer to know everything.

The important things are strong fundamentals, willingness to learn, and the ability to investigate problems instead of only following predefined instructions.

The engineer will work together with more experienced team members and gradually take more responsibility for CI/CD, Kubernetes, monitoring, and production infrastructure.

💪 Vytivka is a young brand of small-group author trips for people who want to explore again: hikes, canyoning, surfing, local food, campings, van trips, board games by the fire. Groups of up to 8, structure underneath, space for spontaneity on top.

We just closed our test year with a Ukrainian audience and are now moving to an international, English-speaking one.
 

The challenge
From now until spring and further, we need content that turns followers into warm, ready-to-book participants. Social media is the main driver of our sales, so this role directly shapes the business. We want someone who will take full ownership of this process, run lots of A/B tests with content and find the formats that actually work, not just post on a schedule.
 

What you'll do
🧭 Week 1: answer the key strategy questions with the founder (platforms, positioning, what converts). Instagram is live now, and TikTok, Threads and YouTube Shorts are likely next
🎬 Then run the strategy: content plan, ideas, scripts, some shooting, editing, publishing
🧪 Test constantly: A/B tests of hooks, formats and topics, and double down on what works
📊 Analytics, tests, regular reports
🌍 Move our content from Ukrainian to English
🤝 Work directly with the founders

What we're looking for
✅ 2–3+ years of proven SMM/content experience (travel, outdoor or community brands are a plus), with a portfolio
🧪 An analytical mindset: you test, measure and look for working connections between content and sales
🤖 Strong daily use of AI tools to speed up ideation, editing, design and analytics
🎥 Short-form video editing, content plan creation and publishing skills
🎨 Design skills in Canva or Figma, or a strong ability to work with AI design tools
🇬🇧 Goooood English
⛰️ Love for mountains, travel and active life
💪 Ownership, responsibility and a sense of humour with fun

What we offer
💬 Direct line to the founders and real impact on a growing brand
🌐 Remote, flexible
💰 Compensation is open for discussion
🏔️ Join our trips on special terms as part of the team
 

Special terms for the right person
We're ready to offer something better than a standard salary: a share of the revenue from participants who join through your organic content. The more people you bring in, the more you earn. The flip side is that organic growth is the core of this role. If it doesn't start delivering quality results, we won't continue working together.
 

Hiring process
Fast: a call with the founders and, possibly, a short test task.

To apply 

Start your message in the text field with what our brand name means to you, and add a couple of lines on why you're a match for us ❤️
Applications without these won't be reviewed 🤷‍♂️

Job Description

• 4+ years in DevOps / DevSecOps or software engineering with a strong security focus.
• Hands-on with CI/CD tooling (e.g. GitLab CI, GitHub Actions, Jenkins, Azure DevOps).
• Security scanning in pipelines: SAST, DAST, SCA, secrets scanning (e.g. Semgrep, Snyk, Trivy, OWASP ZAP).
• Infrastructure-as-Code (e.g. Terraform) and IaC security.
• Containers and Kubernetes security (Docker, K8s, image scanning, hardening).
• Cloud platforms (AWS / Azure / GCP) and cloud security fundamentals.
• Secrets management (e.g. HashiCorp Vault, cloud KMS) and IAM basics.
• Scripting and automation (Python, Bash) and Git.
• Familiarity with standards and frameworks: OWASP, NIST, CIS Benchmarks, ISO 27001.
• Understanding of and hands-on experience with different LLMs; ability to build AI agents; and knowledge of embedding LLMs into the SDLC and pipelines.
• Strong Linux skills (administration, hardening, command line, shell scripting).

• Nice to have: certifications (e.g. CKA/CKS, AWS/Azure Security, CISSP); pentesting or vulnerability-management exposure.

   

Job Responsibilities

• Build and maintain secure CI/CD pipelines; embed security gates (SAST, DAST, SCA, secrets scanning) into the build.
• Automate security testing and policy checks across the SDLC (shift-left).
• Implement Infrastructure-as-Code (IaC) security and secure baseline configuration.
• Manage secrets, keys and credentials (vaulting, rotation) across environments.
• Secure containers and Kubernetes (image scanning, hardening, runtime policies).
• Set up security tooling and route findings into developer workflows and dashboards.
• Define and enforce policy-as-code guardrails; track exceptions and drift.
• Support vulnerability management: triage, prioritize and follow remediation through pipelines.
• Work with developers and architects to embed security by design.
• Monitor, log and respond to pipeline and cloud security events; support incident response.
• Contribute to AI-assisted automation (LLMs/agents) for security tasks in the pipeline.
   

Department/Project Description

An enterprise technology group is building a dedicated security validation team focused on vulnerability assessment and security testing across the group's products and systems. The team runs structured testing campaigns: penetration testing, vulnerability discovery and triage, secure code review, and building automated test suites to make the process repeatable at scale.
The team also gets early access to specialized AI models and evaluates how they can accelerate security testing - an area we're actively investing in, though the core of the work remains hands-on security engineering. Scope covers internal systems as well as business-unit products across the group, agreed campaign by campaign. The team starts small and scales into a permanent capability.

Key tasks:

• Writing and maintaining up-to-date Information Security Management System (ISMS) documentation;
• Participating in information security incident investigations;
• Conducting internal information security audits;
• Supporting third-party penetration tests, supervisory audits, and certification processes;
• Managing access to company and/or customer systems (if necessary);
• Developing and delivering information security training;
• Implementing information security risk mitigation measures;
• Implementing new information security standards;
• Ensuring GDPR and privacy compliance (updating policies, conducting DPIAs, and data mapping);
• Managing third-party privacy risks and Data Processing Agreements (DPAs);
• Handling data breach protocols and Data Subject Access Requests (DSARs).
   

Core Competencies:

• Knowledge and understanding of network infrastructure;
• Understanding of Information Security Management System (ISMS) principles;
• Experience administering Active Directory-based domains;
• Knowledge of virtualization systems (e.g., VMware, Hyper-V);
• Knowledge of Linux-based servers (Ubuntu);
• Knowledge and understanding of PCI DSS, ISO 27001, and GDPR standards and compliance requirements;
• Practical knowledge of Data Protection principles (DPIA, data mapping, DPAs);
• Experience in developing regulatory and procedural documentation (concepts, policies, regulations, provisions, instructions, etc.);
• Knowledge of risk analysis methods, organizational and technical measures for information protection, as well as related technologies, software, and hardware tools;
• Knowledge and ability to apply best practices in the field of information security and data privacy;
• At least 1 year of professional experience in information security or data protection;
• English proficiency at B2 level.
  
   

We offer:

• Stable salary;
• Convenient work schedule: Monday to Friday, 9:00 AM — 6:00 PM;
• Comfortable working conditions: cozy office or remote work (subject to stable internet and electricity availability);
• Opportunities for growth and development in a dynamic company.