Jobs

Must-Have Experience

• Strong practical experience deploying and managing Chatwoot in production
• Strong practical experience deploying and managing self-hosted RustDesk infrastructure
• Previous experience configuring RustDesk ID/Rendezvous Server and Relay Server
• Experience running Chatwoot using Docker / Docker Compose or Kubernetes
• Experience configuring Chatwoot for production workloads rather than development/demo environments
• Experience upgrading RustDesk servers with minimal service disruption

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

About the Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities:

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications:

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills:

• Experience with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency-sensitive systems.

We are developing an international payroll product that helps companies calculate and pay employee salaries across multiple jurisdictions accurately, on time, and in compliance with local regulations.

The product is demonstrating strong growth, and we are looking for a commercial leader who will build the sales function, establish a partner channel, and take full ownership of the business unit's revenue performance.

Key Responsibilities

New Business Acquisition

• Develop and execute the outbound sales strategy, including ICP definition, outreach sequences, negotiations, and deal closure.
• Manage the sales pipeline in CRM and prepare weekly forecasts.
• Ensure a structured handoff of signed clients to the Customer Success team.

Partner Channel Development

• Identify, negotiate, and onboard strategic partners, including HR consultancies, accounting firms, EOR/PEO providers, and HCM/ERP integrators.
• Define commercial terms, negotiate SLAs, and launch joint go-to-market initiatives.

Revenue Expansion Within Existing Accounts

• Identify and execute upsell and cross-sell opportunities together with Customer Success.
• Own and improve the project's Net Revenue Retention (NRR).

Customer Onboarding Support

• Provide commercial support during client implementation and remove onboarding blockers.
• Ensure Time-to-Live does not exceed 45 days from contract signature.

P&L Ownership

• Manage the business unit's financial model, including revenue, margins, and unit economics.
• Conduct monthly P&L reviews, quarterly forecasting, and annual budgeting.

Team Building and Leadership

• Hire and manage the commercial team as the business scales, including SDRs, Account Executives, and Partner Managers.

Requirements

Must-Have

• 5+ years of experience in B2B sales, growth, or commercial leadership roles within SaaS, FinTech, HCM, Payroll, or related industries.
• Proven track record of closing deals in international markets.
• Experience managing a P&L or owning a revenue function.
• Experience building and managing partner channels.
• English proficiency at B2 level or higher.

Nice-to-Have

• Familiarity with global payroll platforms such as Deel, Remote, Rippling, or Papaya Global.
• Understanding of EOR/PEO operating models.
• Experience launching and scaling new geographic markets.
• Experience managing commercial teams.

What We Offer

• Full ownership, authority, and budget to build and scale the business direction.
• Competitive compensation package consisting of a fixed salary and performance-based bonus tied to ARR growth.
• Direct collaboration with the CEO and CFO.
• International market exposure and a product with proven demand.
• Remote or hybrid work format.
• Career growth aligned with the expansion of the business.

Join an exciting journey to create a cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities. As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture, focusing on hands-on technical execution and collaboration with cross-functional teams.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders.

Key Responsibilities:

• Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
• Create and implement scalable solutions to handle diverse data sources and high volumes of information
• Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloud-based data platform.
• Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics.
• Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners to align data solutions with business needs.
• Collaborate with global teams to integrate data from diverse platforms, ensuring scalability, security, and accuracy.
• Platform Development: Enable data readiness for advanced analytics, reporting, and segmentation.
• Implement robust frameworks to monitor data quality, accuracy, and performance.
• Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA ..) and internal policies.
• Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices.

Requirements:

• Over 4+ years of experience showcasing technical expertise and critical thinking in data engineering.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling are essential.
• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
• In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views.
• Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges.
• Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure).
• Practical experience with Big Data batch and streaming tools.
• Competence in SQL, NoSQL, relational database design (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying.
• Experience working in global environments and collaborating with virtual teams.
• A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

We are looking for a Lead Data Engineer to drive the design and implementation of scalable data solutions, pipelines, and analytics-ready datasets. 

What You’ll Do 

• Lead design and implementation of data pipelines, transformations, and curated datasets 
• Translate business requirements into structured data solutions and models 
• Guide and execute development of reusable, analytics-ready data assets 
• Ensure consistency in how key data elements are defined and used across systems 
• Collaborate with stakeholders to define and refine data requirements and logic 
• Review and guide engineering work to ensure quality, performance, and scalability 
• Establish best practices for data engineering, transformation, and data quality 
• Support integration of data across multiple domains and systems 
• Contribute to architecture decisions across data platforms and tooling 
• Mentor and support other engineers on the team 

What You Bring 

Must-Haves 

• 5+ years of experience in data engineering, analytics engineering, or related fields 
• Strong SQL expertise and experience designing complex data transformations 
• Hands-on experience with modern data platforms (e.g., GCP BigQuery, Databricks, Snowflake) 
• Data platforms experience. ELT or ETL, orchestration such as Airflow or dbt, Spark, data warehouses and lakehouses such as Snowflake, BigQuery, or Databricks, streaming such as Kafka or Kinesis, metadata and data quality 
• Proficiency in Python 
• Strong understanding of data modeling concepts and data structuring for analytics 
• Experience working with stakeholders to define requirements and deliver data solutions 
• Ability to balance hands-on delivery with technical guidance 

Nice-to-Haves 

• Familiarity with data governance, lineage, or metadata management concepts 
• Experience working with cross-domain data (e.g., customer, product, transactions) 
• Exposure to financial services or other data-intensive industries 
• Experience supporting migration or evolution of data platforms (e.g., toward Databricks) 
• Experience with orchestration tools (e.g., Airflow, Cloud Composer) 
• Exposure to data modeling concepts (e.g., dimensional models, data marts, reusable datasets) 

What’s in It for You 

• Impact at scale. Help shape enterprise AI, software, and data programs across industries. 
• Growth and mastery. Work with a seasoned team from leading consulting and technology backgrounds. 
• Build real products. Work on production ready assets with autonomy over key technical decisions. 

The engagement covers solution definition, build, and launch across 15 European countries, with integrations to MuleSoft/Microsoft D365, Akeneo PIM, Adobe Experience Manager, and Stripe or Adyen for payments. The project kicks off mid-August with an intensive discovery and solution definition phase, followed by iterative build sprints and end-of-year hypercare.

Role summary

The Solution Consultant is the functional bridge between client stakeholders and the delivery team. You'll support requirements discovery, translate business needs into functional designs and user stories, and ensure the solution delivered matches what the client signed up for. This is a client-facing role requiring confident workshop facilitation and clear written communication.

Key responsibilities

• Lead and facilitate discovery workshops with client business and technical stakeholders
• Elicit, document, and validate business and functional requirements
• Author functional design documentation as part of the Solution
• Design deliverables
• Build and maintain the product backlog in Azure DevOps: epics, user stories, acceptance criteria
• Partner with the Salesforce Architect on solution decisions and trade-offs
• Support sprint ceremonies: backlog refinement, sprint planning, demo preparation, UAT coordination
• Act as day-to-day functional point of contact for the client Product Owner

• Support integration requirements definition alongside third-party integration vendors

   

Required qualifications

• 5+ years as a Solution Consultant, Functional Consultant, or
• Senior Business Analyst on ecommerce implementations
• Hands-on delivery experience with Salesforce B2B Commerce (or B2C Commerce with strong B2B exposure)
• Proven workshop facilitation and requirements documentation skills
• Experience writing user stories and managing backlogs in Azure DevOps or JIRA
• Strong understanding of ecommerce integration patterns (ERP, PIM, CMS, payments)
• Fluent English; comfortable working with US and EU stakeholders

We are looking for a Senior Ruby on Rails Developer to join a product engineering team working on a mature, high-traffic platform with a large and well-established domain model.

Project: A long-running digital platform in the travel, hospitality, and marketplace domain. The product manages complex workflows around properties, reservations, deposits and exchanges, billing, and member onboarding. You'll work on a large Ruby on Rails application, contributing to new features, performance improvements, integrations, and the continuous evolution of the platform.
 

This is a backend-focused Rails role. You'll work primarily with Ruby on Rails, databases, background processing, APIs, and third-party integrations while contributing to a large and established codebase.
Tech Stack: Ruby, Ruby on Rails 7.x, Rails Engines, MySQL, Redis, Memcached, Solr, Sidekiq, Clockwork, ActionCable, ActiveAdmin.
Authentication & Security: JWT, CanCan, bcrypt, role-based authorization.
Integrations: Stripe, AWS S3/CloudFront/SNS, Twilio, transactional email, product analytics, feature flags, geolocation.
Testing: Minitest, RSpec, FactoryBot, VCR/WebMock, Capybara/Selenium.
 

Responsibilities:
Develop and deliver backend features using Ruby on Rails;
Work effectively with a large, established Rails codebase and make well-tested, maintainable changes;
Design and implement database changes, models, service objects, APIs, and business logic;
Develop and maintain background jobs and scheduled processes using Sidekiq and related tools;
Build and maintain integrations with third-party services such as Stripe, AWS, and Twilio;
Write and maintain automated tests, including unit, integration, and API tests;
Analyze and optimize application performance across the database, search, caching, and background processing layers;
Contribute to improving system reliability, code quality, and maintainability;
Participate in code reviews and collaborate closely with other engineers and product teams.
 

Requirements:
-4+ years of professional experience with Ruby on Rails, including production experience with large, established applications;
-Strong experience with Ruby on Rails 7.x;
-Solid knowledge of MySQL and/or PostgreSQL, including schema design, migrations, indexing, and query optimization;
-Strong experience with Sidekiq or similar background job processing tools;
-Experience building and maintaining RESTful APIs;
-Experience integrating third-party services and APIs;
-Strong testing experience with Minitest/RSpec and related testing tools;
-Experience with Git and pull-request workflows;
-Comfortable working with and improving a large, long-lived codebase;
-Good written English and clear communication skills.

Nice to Have:
Experience with JavaScript, Vue, Stimulus, or Hotwire;
Experience with HTML, CSS, and Sass;
Experience with Solr, Elasticsearch, or other full-text search technologies;
Experience with Stripe or other payment and billing integrations;
Experience with ActiveAdmin or similar admin frameworks;
Familiarity with Docker and Kubernetes;
Familiarity with CI/CD, including CircleCI or GitHub Actions;
Familiarity with AWS, particularly S3, CloudFront, or SNS;
Experience with monitoring and observability tools such as Prometheus or APM solutions;
 

Milionyx is a full-cycle iGaming company. We bring together in-house technology development, performance marketing, analytics, and operational expertise.

We are looking for a Senior Data Scientist to become a key contributor to our Marketing Analytics team. The primary focus of this role is building predictive models that optimize user acquisition, evaluate traffic quality, forecast user value, and maximize marketing ROI.
Our product operates on a white-label solution, so the ideal candidate should be comfortable handling heterogeneous datasets, and developing scalable analytical and ML-solutions.

Responsibilities:
Develop and maintain predictive models for:

• LTV, Early LTV Prediction
• ROAS
• Marketing Payback Period
• FTD Prediction
• Deposit behavior forecasting
• Churn Prediction;
• Analyze traffic quality across acquisition channels and identify optimization opportunities;
• Build user value prediction models using early lifecycle behavioral signals;
• Build ML-solutions to optimize marketing budget allocation;
• Collaborate closely with Marketing, Retention, Product, and Tech Teams;
• Monitor model performance, retrain models when necessary, and support production ML-pipelines.

Required Experience:

• 3+ years of experience as a Data Scientist;
• Strong background in Marketing Analytics, User Acquisition, or Growth Analytics;
• Hands-on experience building predictive models for user behavior and business value forecasting;
• Experience delivering ML-solutions from research through production;
• Experience working with large-scale datasets;
• Ability to work with incomplete and heterogeneous data.

Required Technical Skills:

• Python (Pandas, NumPy, Scikit-learn);
• Advanced SQL;
• Git/GitLab;
• Gradient Boosting (XGBoost, LightGBM, CatBoost);
• Random Forest;
• Logistic Regression;
• Customer Segmentation & Clustering;
• Time Series Forecasting (preferred);
• Uplift Modeling (preferred).

Nice to have:

• AWS ecosystem;
• Amazon Athena;
• Apache Kafka;
• GTA (internal analytical data platform);
• Large-scale event-based datasets.

We offer

• Flexible work format — remote, hybrid, or office in Kyiv, whichever suits you best
• Monday–Friday schedule, 10:00 AM–6:00 PM
• 18 days of paid vacation, 10 sick days
• Direct communication with leadership and real influence on marketing and business decisions, without unnecessary bureaucracy

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

🔹 Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

🔹 Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

🌍 What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website: www.smartcapitalcenter.com

The Role

We are looking for a Middle Front-End Engineer who is passionate about building modern, high-performance web applications and thrives in a hands-on, collaborative environment.

This is a highly technical role focused on delivering intuitive, scalable, and responsive user experiences. You will work closely with engineering leadership, product managers, designers, and backend engineers to implement frontend features and improve the overall usability of the platform.

You will primarily contribute to building data-rich, user-facing applications using modern frontend technologies and best practices.

What You Will Do

Front-End Development (Core Responsibility)

• Design, build, and ship responsive frontend features and applications
• Develop modern UI components using React and TypeScript
• Implement complex, data-driven interfaces and workflows
• Translate product and UX requirements into polished user experiences
• Ensure seamless integration with backend APIs and services
• Own frontend features from development through deployment

UI/UX Engineering

• Build intuitive and user-friendly interfaces for complex workflows
• Optimize rendering performance and application responsiveness
• Improve frontend architecture, reusability, and maintainability
• Contribute to component libraries and design systems
• Ensure consistency across the platform’s UI/UX

Technical Contribution

• Write clean, maintainable, and well-tested frontend code
• Participate in code reviews and share frontend best practices
• Contribute to frontend architecture and technical discussions
• Help improve engineering quality, standards, and development processes
• Participate in troubleshooting, debugging, and performance optimization

Collaboration

• Work closely with Product, UX, backend engineering, and AI teams
• Contribute to end-to-end feature delivery
• Participate in Agile development processes
• Collaborate across teams to deliver high-quality product experiences

Requirements

Front-End Engineering (Strong Requirement)

• 3+ years of frontend software development experience
• Strong expertise in TypeScript, JavaScript (ES6+), HTML, and CSS
• Strong experience with ReactJS
• Experience with state management solutions (Redux, MobX, Zustand, or similar)
• Ability to build scalable and maintainable frontend architecture
• Strong focus on usability, responsiveness, and performance optimization
• Experience integrating frontend applications with REST APIs
• Good understanding of responsive design and cross-browser compatibility

Core Engineering Skills

• Strong problem-solving and debugging abilities
• Experience with Git and Agile/SCRUM workflows
• Attention to detail and strong ownership mindset
• Ability to work effectively in a collaborative team environment
• Good communication and organizational skills

Nice to Have

• Experience with data visualization libraries (D3.js, ECharts, etc.)
• Familiarity with design systems or component libraries
• Experience with testing frameworks (Jest, Cypress, Playwright, etc.)
• Familiarity with modern frontend tooling (Vite, Webpack, ESLint, etc.)
• Basic understanding of cloud platforms and deployment workflows
• Exposure to financial systems, analytics platforms, or real estate technology
• Experience working with AI-powered products or intelligent workflows
• Experience with AI-assisted development tools such as Copilot, Cursor, Claude Code, or similar

Why Join Us

• Work on cutting-edge AI-powered systems in a $17T industry
• Build modern, data-rich applications used in real-world financial workflows
• Collaborate closely with AI, product, and engineering teams
• High ownership and autonomy with meaningful technical impact
• Opportunity to influence frontend architecture and user experience direction
• Fast-moving, execution-focused team with minimal bureaucracy
• Exposure to modern technologies, AI-powered platforms, and intelligent systems

• Competitive compensation and flexible work environment

   

Apply Now

If you are passionate about building exceptional frontend experiences and want to work on impactful, AI-powered products in a fast-moving engineering environment, we would love to hear from you.

Apply today and become part of a team building the future of Commercial Real Estate technology.

FutureMedia is a remote-first team building and scaling high-impact digital products across SaaS, AI-powered solutions, and consumer web and mobile applications.

We operate a portfolio of high-traffic B2C subscription products in the US market, where each Business Unit functions as an independent P&L with dedicated product, growth, and engineering teams.

We move fast, think analytically, and focus on building scalable growth systems that drive measurable business impact.

About the Role

We’re looking for a Lead PPC Specialist to own and scale our paid acquisition strategy across multiple digital channels and products.

This role combines strategic leadership with hands-on performance marketing expertise. You’ll be responsible for managing multi-million-dollar acquisition budgets, identifying new growth opportunities, optimizing funnel performance, and driving sustainable customer acquisition at scale.

You’ll work closely with product, design, analytics, and leadership teams to accelerate growth across our subscription-based products in the US market.

What You’ll Do

• Own and execute the user acquisition strategy across Paid Search and emerging channels
• Manage and optimize multi-million-dollar marketing budgets focused on scalable and profitable growth
• Launch, analyze, and continuously improve campaigns across platforms including Google Ads Bing, Taboola, Quora, and others
• Identify and test new acquisition channels, audiences, and growth opportunities
• Monitor and optimize key performance metrics including CAC, CPL, CPA, ROAS, ROMI, LTV, and ROI
• Build forecasting models, budget recommendations, and scalable reporting frameworks
• Drive experimentation across creatives, landing pages, targeting, and funnel optimization initiatives
• Collaborate closely with product, design, and copywriting teams to improve conversion performance
• Use analytics and insights to develop clear recommendations, strategic direction, and optimization roadmaps
• Partner with leadership on broader growth and go-to-market initiatives
   

We’re Excited About You Because

• You have 5+ years of experience in performance marketing, paid acquisition, or growth marketing roles
• You’ve managed large-scale paid acquisition budgets and performance-driven campaigns (min 1mil $ budgets)
• You have strong experience with the US market and subscription-based or B2C products
• You’re highly analytical and comfortable working with large data sets, attribution models, and funnel analytics
• You have hands-on expertise across major paid channels and performance marketing platforms
• You understand how to scale acquisition while maintaining efficiency and profitability
• You’re experienced in A/B testing, experimentation, and conversion optimization
• You’re proficient in Excel / Google Sheets / SQL and data-driven decision-making
• You thrive in fast-paced environments and enjoy building systems from the ground up
• You communicate clearly and work effectively across cross-functional teams
• You have fluent English
   

Nice to Have

• Experience in subscription-based or high-growth B2C product companies
• Experience with advanced analytics, research, or marketing data infrastructure
• Passion for digital media, social platforms, and emerging acquisition channels
• Entrepreneurial mindset with strong ownership and execution skills

🚀 Senior Data Engineer (EU)

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

🔹 Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

🔹 Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

🌍 What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

On behalf of our Client from Japan, Mobilunity is looking for a Senior Frontend Engineer 

Our client is a fast-growing fintech company based in Tokyo that offers its real-time, monthly consolidated credit service all across Japan. Our client started Japan’s first instant post-pay credit service for e-commerce customers in October 2014. The main product is an online payment platform that requires no pre-registration or credit card to use; via this service, the customers can purchase products online using only a mobile phone number and email address and settle a single monthly bill for all their purchases, either at a convenience store, by bank transfer, or auto debit. Customers can use credit funds during a month and then return the balance to zero without paying credit interest.

This service also supports multi-pay installments and subscriptions. There are currently over 4 million accounts in use. This service got the largest investment to date in the Japanese financial tech industry, including a PayPal Ventures investment.

Key  Responsibilities:

• Build and maintain scalable, high-quality front-end applications using React.js
• Translate complex product requirements into clean, intuitive, and pixel-perfect UI
• Collaborate closely with Product, Design, Infrastructure, and Operations teams
• Develop reusable components and front-end architecture patterns for long-term scalability
• Optimize applications for performance, accessibility, and responsiveness
• Instrument applications with monitoring, logging, and alerting for reliability and observability
• Participate in code reviews and maintain high engineering standards across the team
• Work across multiple internal and external products, adapting to varied domain requirements
• Contribute to technical discussions, architecture decisions, and design improvements

Requirements:

• Strong experience with React.js, Typescript, React Native, Expo, Expo Web, Redux, and modern front-end ecosystems
• Proficiency with ES6+, Redux, Webpack, and related tooling
• Experience with Next.js, Redux Toolkit, Zustand, Three.js
• Experience working in large-scale, multi-stakeholder codebases
• Strong understanding of UI/UX principles and ability to build pixel-perfect interfaces
• Focus on performance, maintainability, and testability of code
• Experience collaborating in cross-functional agile teams
• Ability to connect multiple services and workflows even in unfamiliar domains
• Strong communication skills and proactive problem-solving mindset

Nice to have:

• Experience building B2C consumer-facing products
• Background in fintech, payments, or financial systems
• Experience with design systems or scalable UI frameworks
• Familiarity with observability tools (monitoring, logging, analytics)
• Experience mentoring engineers or leading front-end initiatives

In return we offer:

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

🐳 Come on board, and let’s grow together! 🐳

We are looking for a skilled DevOps Engineer to join our engineering team. In this role, you will be
responsible for designing, building, and maintaining scalable and reliable infrastructure, enabling
efficient development and delivery processes. You will work closely with engineering, QA, and
product teams to ensure high system availability, performance, and security.

Key Responsibilities
• Design, implement, and maintain cloud infrastructure using AWS and/or GCP.
• Build and manage Infrastructure as Code (IaC) using tools such as Terraform or
CloudFormation.
• Develop and maintain CI/CD pipelines to support automated build, test, and deployment
processes.
• Ensure high availability, scalability, and reliability of production systems.
• Monitor system performance, logs, and alerts; proactively identify and resolve issues.
• Collaborate with development teams to improve deployment processes and system
architecture.
• Implement and maintain containerization and orchestration solutions (e.g., Docker,
Kubernetes).
• Manage environments (dev, staging, production) and ensure consistency across them.
• Manage and maintain infrastructure on bare metal servers alongside cloud environments.
• Automate routine operational tasks and improve system efficiency.
• Ensure security best practices are followed across infrastructure and deployment pipelines.
• Document infrastructure, processes, and operational procedures.

Required Qualifications
• 4+ years of experience in DevOps, SRE, or infrastructure engineering roles
• Hands-on experience with cloud platforms (AWS and/or GCP)
• Strong experience with Infrastructure as Code (Terraform, CloudFormation, or similar)
• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
• Good understanding of containerization (Docker) and orchestration (Kubernetes)
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack, CloudWatch)
• Experience working with bare metal servers (provisioning, configuration, maintenance)
• Solid understanding of networking concepts (VPC, subnets, load balancers, DNS)
• Strong troubleshooting and problem-solving skills
• Good communication skills in English (written and verbal)

Nice to Have
• Experience with multi-cloud environments.
• Familiarity with GitOps practices.
• Knowledge of security best practices (IAM, secrets management, compliance).
• Experience with scripting languages (Bash, Python).
• Understanding of cost optimization in cloud environments.
• Experience supporting high-load or distributed systems.
• Experience with hybrid infrastructure (cloud + bare metal)


 

We are looking for a skilled DevOps Engineer to join our engineering team. In this role, you will be
responsible for designing, building, and maintaining scalable and reliable infrastructure, enabling
efficient development and delivery processes. You will work closely with engineering, QA, and
product teams to ensure high system availability, performance, and security.

Key Responsibilities
• Design, implement, and maintain cloud infrastructure using AWS and/or GCP.
• Build and manage Infrastructure as Code (IaC) using tools such as Terraform or
CloudFormation.
• Develop and maintain CI/CD pipelines to support automated build, test, and deployment
processes.
• Ensure high availability, scalability, and reliability of production systems.
• Monitor system performance, logs, and alerts; proactively identify and resolve issues.
• Collaborate with development teams to improve deployment processes and system
architecture.
• Implement and maintain containerization and orchestration solutions (e.g., Docker,
Kubernetes).
• Manage environments (dev, staging, production) and ensure consistency across them.
• Manage and maintain infrastructure on bare metal servers alongside cloud environments.
• Automate routine operational tasks and improve system efficiency.
• Ensure security best practices are followed across infrastructure and deployment pipelines.
• Document infrastructure, processes, and operational procedures.

Required Qualifications
• 4+ years of experience in DevOps, SRE, or infrastructure engineering roles
• Hands-on experience with cloud platforms (AWS and/or GCP)
• Strong experience with Infrastructure as Code (Terraform, CloudFormation, or similar)
• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
• Good understanding of containerization (Docker) and orchestration (Kubernetes)
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack, CloudWatch)
• Experience working with bare metal servers (provisioning, configuration, maintenance)
• Solid understanding of networking concepts (VPC, subnets, load balancers, DNS)
• Strong troubleshooting and problem-solving skills
• Good communication skills in English (written and verbal)

Nice to Have
• Experience with multi-cloud environments.
• Familiarity with GitOps practices.
• Knowledge of security best practices (IAM, secrets management, compliance).
• Experience with scripting languages (Bash, Python).
• Understanding of cost optimization in cloud environments.
• Experience supporting high-load or distributed systems.
• Experience with hybrid infrastructure (cloud + bare metal)