Jobs

About the Role

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to deliver reliable, high-quality data solutions that power analytics and business decision-making.

This role is ideal for someone passionate about building modern data architectures, optimizing data workflows, and ensuring operational excellence.

Responsibilities

• Design, develop, and maintain scalable batch and streaming data pipelines.
• Build robust ETL/ELT workflows for ingesting, transforming, and serving data.
• Optimize data storage, processing, and query performance.
• Develop and maintain data models that support reporting, analytics, and machine learning.
• Ensure data quality, reliability, security, and governance across the platform.
• Monitor production pipelines and troubleshoot operational issues while maintaining SLAs.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Improve automation, deployment processes, and infrastructure for data engineering workloads.
• Contribute to architectural decisions and engineering best practices.
• Document technical solutions and mentor junior engineers when needed.

Required Skills

• 5+ years of experience in Data Engineering or a similar role.
• Strong proficiency in Python and SQL.
• Experience building scalable ETL/ELT pipelines.
• Hands-on experience with modern cloud platforms (AWS, Azure, or Google Cloud).
• Experience working with data warehouses such as Snowflake, BigQuery, Redshift, or Synapse.
• Strong understanding of data modeling principles.
• Experience with orchestration tools such as Airflow or similar.
• Knowledge of distributed data processing technologies (Spark preferred).
• Experience with Git and software engineering best practices.
• Strong analytical and problem-solving skills.
• Experience supporting production systems, troubleshooting incidents, and maintaining operational reliability and SLAs.
• Excellent communication skills with both technical and non-technical stakeholders.

Nice to Have

• Experience with dbt for data transformation and modeling.
• Knowledge of data observability and monitoring tools.
• Experience with streaming technologies such as Kafka, Apache Flink, or similar.
• Familiarity with CI/CD pipelines for data engineering.
• Experience implementing data quality frameworks and governance practices.
• Experience with Infrastructure as Code (Terraform or similar).
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).

What We Offer

• Fully remote work ( shifts per USA time zone)
• Opportunity to work with modern cloud-based data platforms.
• Long-term international project.
• Collaborative engineering culture.
• Competitive compensation based on experience.
• Career growth opportunities and exposure to cutting-edge data technologies.

Riseapps builds AI-powered software products for the U.S. healthcare market. We partner with healthcare providers, startups, and digital health companies, and we’re now scaling our outbound engine to the next level.

We’re looking for a Senior Lead Generation Manager who doesn’t just run campaigns, but builds and owns the entire outbound system, drives meaningful pipeline, and leads the function with strategic depth.
Design, build, and scale a full-cycle outbound lead generation engine across multiple channels with a focus on cold outreach (email + LinkedIn), U.S. and EU healthcare conferences, and emerging channels you champion. You will own this function end-to-end and be expected to think and act at a leadership level.

 

What We’re Looking For:

• 5+ years in B2B outbound lead generation, with at least 2 years at a senior level;
• Proven expertise in cold email and LinkedIn outreach: strategy, copywriting, sequencing, optimization;
• Hands-on conference lead generation experience (U.S. and/or EU tech/healthcare events): pre-event research, booth and meeting planning, post-event follow-up;
• Experience leading or mentoring a small team or function (even in a solo-contributor capacity with influence over processes and vendors);
• Strong data-driven mindset: you set targets, track performance, and iterate based on metrics;
• Ability to work cross-functionally with Sales, Marketing, and leadership and translate strategy into execution;
• A healthcare or IT services background is a strong plus;
• English B2+ or higher.

What You’ll Do:

• Own the full lead generation function end-to-end: define goals, build playbooks, report on pipeline, meetings booked, and CAC by channel;
• Run cold email and LinkedIn outreach from ICP definition to conversion: sequences, A/B testing, CRM hygiene, automation;
• Plan and execute conference strategy (U.S. & EU): pre-event outreach, on-site lead capture, post-event follow-up;
• Partner with Sales to align pipeline targets; propose and test new channels (Upwork, niche communities, partnerships).

Why Riseapps:

• Real ownership and autonomy;
• Healthcare-focused outbound;
• Remote-first, flexible setup;
• Competitive compensation.

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise systems in the Oil&Gas domain.
We are looking for a highly motivated and self-organized QA automation engineer to join our team and integrate the automation process into the existing SDLC.

Responsibilities

Lead quality assurance strategy and execution for web applications deployed on AWS and Azure

cloud platforms. Drive test automation initiatives achieving >80% coverage, mentor junior QA

engineers, and ensure delivery excellence across the software development lifecycle. Collaborate

with Product, Development, and DevOps teams to embed quality practices from design through

production deployment.

Skills

Must have

5–7 years of QA experience for web applications in Agile/Scrum

Web testing: functional, regression, integration/system testing; E2E, smoke/sanity, exploratory, risk-based testing

Test automation (2+ years) with Cypress using JavaScript&TypeScript

REST API testing (Postman, REST Assured, or similar); validation of status codes/schemas/error handling; auth testing (OAuth2/JWT/SSO)

CI/CD integration and automated test execution in pipelines (GitLab CI, Azure DevOps Pipelines, or Jenkins)

Cloud deployment validation on AWS and Azure

Test/defect management tools (Azure DevOps Test Plans/Boards or equivalent)

Version control: Git (GitLab/GitHub)

Scripting and data validation: Python and/or Bash; basic SQL for database checks

Leadership: driving QA initiatives, mentoring, defining quality gates, defect triage

Nice to have

Performance/load testing (k6, JMeter, Gatling)

Security testing awareness (OWASP Top 10; Burp Suite / OWASP ZAP / Snyk)

Docker/Kubernetes validation testing

Observability/monitoring tools (CloudWatch, Azure Monitor, Datadog, New Relic, ELK/Splunk)

GraphQL API testing and/or contract testing

Experience with large datasets/ETL validation, Kafka/event-driven systems, or geospatial data testing

Domain exposure to Oil & Gas / Energy software is a plus

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.
 

Responsibilities:

• Analyzing requirements for new product features and services
• Hands-on development based on the requirements
• Covering the code with unit tests
• Improving existing software and fixing bugs
• Creating and maintaining code documentation

• Communicating with stakeholders and distributed teams of the product

   

Requirements:

• Location in Warsaw (Office-based role in Warsaw).
• 5+ years of hands-on work experience as a Fullstack/Frontend developer
• Hands-on experience in implementing pixel-perfect designs over HTML/CSS
• Strong JavaScript and TypeScript skills
• Hands-on experience with more than one leading frontend framework (our focus is React, but it’s preferred you also have experience with either Angular, Vue, Ember.js, Polymer, etc)
• Strong hands-on skills with frontend toolkits (Gulp, Webpack, Karma, Jasmine, etc.)
• Experience with distributed version control systems (Git, Mercurial, Fossil, etc.)
• Upper-Intermediate English skills, or higher (both written and spoken)
• Experience in working in a Linux-based server environment
• Ability to learn new technologies

• Passion for products and users

   

Nice to have:

• Experience with at least one dynamic language implementation of a backend technology (Node.js, Python, Ruby)
• Experience with compiled, statically typed server technologies (Java, Go)
• Experience in ES6, TypeScript, CoffeeScript, React, and Redux.
• Experience with building, maintaining, and optimizing responsive web apps
• Hands-on experience in cloud technologies
• Experience developing high-load/high-traffic user-facing software
• Hands-on experience in writing unit tests
• Solid Linux/Unix skills
• Experience with mobile-specific sites, and mobile-web/native app integrations
• Experience in setting up and continuous improvement of the dev environment
• Experience in setting up and continuous improvement of a multi-stage production environment
• Experience working on a distributed team (not all in one physical location)

• Open source contributions

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leave);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (Zoom);
• Paid tech training and other activities for professional growth;
• Office-based role (5 days in the office);
• International business trips

• Comfortable office.

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

Your future responsibilities:

• Jira Process Improvement and Automation
• Transforming Business Requirements into Scalable Solutions
• Scaling Jira Environment (Multiple Teams, Complex Workflows)
• Resolving L2/L3 Issues
• Evaluating and Implementing Atlassian Marketplace

Your skills and experience:

• 5+ years with Jira / Atlassian ecosystem (administration, development, or engineering)
• Technical leadership: architecture decisions, code reviews, mentoring
• Hands-on with Jira Data Center and Cloud in complex environments
• Jira architecture design aligned with business processes
• ScriptRunner + Groovy for custom logic
• Jira REST API and integration patterns
• System integrations: REST, webhooks, middleware
• Access control and security: SSO, IAM, RBAC
• Work in regulated / security-sensitive environments

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral reward program for attracting new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional “maternity leave” for fathers, and financial assistance for parents upon the birth of children
• Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision with modern equipment
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount program for sports and shopping; family days for children and adults; massage in the office
• Learning and development: access to over 130 online educational resources; corporate training programs, online library, mentoring program
• A great team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in over 15 professional communities, reading or sports clubs
• Career opportunities: we encourage advancement within the bank between functions
• Innovation and technology. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Andorid)Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, we develop expertise in AI and actively integrate it into processes
• Support program for defenders: we preserve jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank’s veteran community is developing. We are working to raise awareness among managers and teams on the issues of veterans’ return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023.

Opportunities for Everyone:

• Raif is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

You matter at Raif!

Want to learn more? Follow us on social media:

Facebook, Instagram, LinkedIn

______________________________________________________________________

Твої майбутні обов’язки: 

• Вдосконалення та автоматизація процесів у Jira
• Перетворення бізнес-вимог у масштабовані рішення
• Масштабування середовища Jira (кілька команд, складні робочі процеси)
• Вирішення проблем L2/L3
• Оцінка та впровадження Atlassian Marketplace

Твій досвід та навички:

• 5+ років досвіду роботи з екосистемою Jira/Atlassian (адміністрування, розробка або інженерія)
• Технічне лідерство: рішення щодо архітектури, огляд коду, наставництво
• Практичний досвід роботи з центром обробки даних та хмарою Jira у складних середовищах
• Проектування архітектури Jira, узгоджене з бізнес-процесами
• ScriptRunner + Groovy для налаштування логіки
• REST API та шаблони інтеграції Jira
• Системні інтеграції: REST, вебхуки, проміжне програмне забезпечення
• Контроль доступу та безпека: SSO, IAM, RBAC
• Робота в регульованих/чутливих до безпеки середовищах

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми, онлайн бібліотека, програма менторства
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid) Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, розвиваємо експертизу в AI та активно інтегруємо в процеси
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes)

Чому Райффайзен Банк? 

Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 

• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомоги серед банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Одна з найбільших ІТ-продуктових команд серед банків країни 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

В Райфі ти маєш значення! 

Бажаєш дізнатися більше? — Підписуйся на нас у соц.мережах: Facebook, Instagram, LinkedIn 

• We are looking for an experienced C++ / backend engineer to join on a short-term, time-bound basis to lead refactoring and modernization work on a mature desktop application. The product has a large, cross-platform C++ codebase (~500k lines of code plus third-party dependencies) built on Qt5. The primary goal of the engagement is to modernize the build toolchain and dependency stack, with the migration to Apple Silicon as the top priority.
  
  Not all of the tasks below are guaranteed to be completed within the engagement. At a minimum, the Intel → Apple Silicon migration must be delivered; remaining items will be prioritized based on time and progress.
   

• Responsibilities:

  Migrate the macOS build of the application from an Intel to an Apple Silicon build (C++ codebase, ~500k LOC plus third-party libraries, Qt5).
  Migrate third-party libraries from Conan 1.x to Conan 2 across the Windows, macOS, and Linux builds.
  Update the Linux build to use Clang 19 (from Clang 11) and move the build to Ubuntu 24.04.
  Update selected third-party libraries to recent versions to meet security requirements.
  Migrate the codebase from C++17 to C++20.
   

• Mandatory Skills Description:

  Proficiency in modern C++ (17/20) and cross-platform development across Windows, macOS, and Linux.
  Strong experience with CMake and build-system toolchain configuration.
  Hands-on knowledge of the Conan package manager.
  Familiarity with the Clang / LLVM toolchain.
  Experience with Qt5 application development and macOS packaging / code signing.
  Comfortable working with Docker-based CI/CD pipelines and large legacy codebases.

We run a B2B data platform for the entertainment industry — it tracks talent, who represents them, the deals they're doing, and the data surrounding all of it. The product is established and has been around for almost 10 years with paying customers; we're not a pre-launch startup.
 

We're rebuilding the platform from Symfony/Angular to Django and React, and we're hiring a senior developer to lead the rebuild — owning the architecture, setting technical direction, and assigning and reviewing work for our current developer. After the rebuild ships, you'll stay on as the long-term owner of the system. 

This is a permanent role, not a contract that ends with the migration.

We want more than a ticket-taker. You should understand the business logic behind what you're building, push back when a requirement doesn't match how users actually work, and drive architecture decisions.

Must have

• 6+ years of professional Python/Django experience
• Strong experience building REST APIs with Django REST Framework
• Has built and shipped systems from scratch, and owned a codebase long-term
• Experience with data-heavy applications (large datasets, complex querying, migrations)
• Comfortable leading: planning work, delegating tasks, and reviewing another developer's code
• Strong written and spoken English — you'll work directly with non-technical stakeholders
• 4+ hours of daily overlap with US Eastern time
• Advanced English speaking

Nice to have

• Hands-on React experience (our frontend stack)
• Experience rebuilding or migrating legacy systems (Symfony familiarity a bonus)
• Django Admin customization
• Third-party API integrations

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Project about building the payments infrastructure that merchants have been waiting for. A single integration, intelligent routing, and the kind of reliability that lets businesses stop thinking about payments and get back to running their business.
The platform is real, the merchants are real, and the problems are hard. We're integrating multiple payment providers, routing transactions intelligently across them, and doing it in a way that's secure, scalable, and maintainable.

Core Development
● You build the services that make payments move. Sessions, routing, provider adapters, webhooks; you work across the core of the platform, end-to-end, from database schema through to deployment.
● You integrate payment providers properly. Clean adapter patterns, consistent error handling, and abstractions that make the tenth integration as maintainable as the firstYou write code that handles real money. That means understanding the failure modes, thinking about idempotency, and never cutting corners on correctness because correctness is the product.
● You contribute to architecture, not just implementation. You raise design concerns early, engage in technical decisions, and leave things better than you found them.

Quality & Performance
● You test what you build. Unit tests, integration tests, E2E tests, and an understanding of what each is actually for. You don't hand things to QA hoping for the best.
● You debug with rigour. When something goes wrong in production, you trace it, understand it, and fix the root cause, not just the symptom.
● You review code seriously. You give feedback that improves the codebase, and you take feedback the same way. Collaboration
● You work closely with the Tech Lead. You implement architectural decisions together and contribute meaningfully to technical design conversations.
● You engage with the product function. You take time to understand what you're building and why. Acceptance criteria exist to be understood.
● You show up to Agile ceremonies and contribute to them. Standups, sprint planning, retros; they only work if people engage honestly.
● You support the team across deployment, observability, and incident response. Shipping doesn't end at the PR merge.

How You’ll Be Successful
● What you ship works, and keeps working. Test coverage is real, regressions are rare, and you're not the source of production surprises.
● Provider integrations are clean and maintainable. The team can extend them without unpicking your decisions six months later.
● You raise concerns before they become problems. Whether it's a design risk, dependency, or edge case, you flag it early with context for the team to act.
● Your code reviews make the codebase better. Not just caught bugs, but clearer thinking, better abstractions, and a higher collective bar.
● The team trusts you across time zones. Async communication is clear, commitments are kept, and you don't go quiet when things get complicated.

Key Responsibilities

• Design, develop, and optimize deep learning models using PyTorch.
• Build and maintain scalable training and evaluation pipelines.
• Lead model selection, experimentation, and fine-tuning activities.
• Improve training performance, efficiency, and scalability across large datasets and compute environments.
• Work with multimodal data sources, including video, images, and audio.
• Provide technical guidance on AI architecture, training strategies, and best practices.
• Collaborate closely with product, engineering, and research teams to translate business objectives into AI solutions.
• Support deployment and operationalization of machine learning models in production environments.

Required Experience

• 5+ years of experience in Machine Learning, Data Science, or AI Engineering roles.
• Strong hands-on experience developing deep learning models with PyTorch.
• Proven experience building and optimizing training pipelines for machine learning systems.
• Deep understanding of model training, hyperparameter tuning, and performance optimization.
• Experience working with computer vision, audio processing, or multimodal AI applications.
• Strong software engineering skills and experience developing production-ready ML solutions.
• Experience with cloud-based or distributed training environments.

Preferred Qualifications

• Experience applying machine learning techniques within behavioral science, human behavior analysis, affective computing, or related domains.
• Experience with video understanding, speech/audio analysis, or multimodal foundation models.
• Familiarity with MLOps practices, model monitoring, and scalable deployment architectures.
• Experience working with large-scale datasets and distributed training frameworks.

About Us

We are a US-founded early stage start-up with an R&D team located in Europe. Our mission is to make learning accessible, relevant, and individualized to keep up with the changing world. We are developing a personalized virtual trainer experience, integrating generative AI and learning engineering to build a VR simulator for immersive hands-on skills training. Our learning engineering approach customizes content and feedback in real-time, directly improving learning outcomes.

We're looking for a Senior Unity engineer to help build the client-side infrastructure of our training platform. This is not just one-off application work. You will build the client foundation that powers VR training simulations today, and additional client targets over time, connecting it to our server according to a defined client-server architecture. The role demands strong application architecture, on-device services, and performance optimization skills.

The Role

This is a hands-on individual contributor role focused on building and evolving key components of our platform's client-side architecture. You will build client infrastructure against a defined server-client architecture in which the server owns authoritative simulation state and logic, connecting the client to the server per spec and reflecting server-owned behavior faithfully on the device.

Key Responsibilities

• Own and drive key components of the Unity VR client architecture so they generalize across training simulations and, over time, additional client targets, rather than serving a single application.
• Build client-side infrastructure that connects to the server according to defined contracts and reflects server-owned state and behavior on the device.
• Co-design the client-server API with the backend, defining the data contracts.
• Develop tooling that supports content creators and other developers working on the platform.
• Use AI coding assistants as part of day-to-day development, and build and maintain the pipelines and validation that make their output reliable.
• Make pragmatic architectural decisions and manage technical priorities effectively in a fast-paced, ambiguous startup environment.

Requirements

• Demonstrated professional Unity and C# experience, ideally 5+ years, with a track record of shipping complex applications or products.
• A portfolio demonstrating experience architecting and refactoring large-scale Unity projects.
• Direct experience building for VR, in particular Meta Quest.
• A track record of building generic, reusable infrastructure and frameworks, not just one-off features.
• Comfort working within a defined client-server architecture and with established API contracts.
• A proactive and adaptable mindset suited for the dynamic and evolving environment of an early-stage startup.
• Excellent communication and collaboration skills in English, with experience working effectively in a remote, culturally diverse team.
• A genuine interest in using technology to enhance learning and education.

Nice To Have

• Experience targeting additional client platforms such as WebGL.
• Experience with data-driven or reactive component systems.

What We Offer

• A high-ownership role with direct influence on product direction, architecture, and user experience, and on company culture.
• A senior opportunity to build a platform from the ground up and contribute to its growth and commercialization.
• The flexibility of a fully remote position, with working hours flexible across European time zones rather than tied to US hours.

With over 70 products and 3 billion installs worldwide, AIBY is at the forefront of mobile and web app development with a focus on AI technology. Innovation and team spirit are the backbones of our company, and thanks to them, we’re proud of titles like ChatOn, iScanner, ARTA, Forma, OnSkin, Plantum, and many others. At AIBY, you can enjoy the work you do while helping millions of people.

Web is where we’re building what comes next. In 2025, web grew 10x year-over-year — and by mid-2026, we’re already close to repeating that entire year’s numbers. Now we’re looking for a Head of Web Growth to join one of our Business Units and take the web even further: from a strong growth engine to the dominant revenue driver across its app portfolio.

You’ll report to the CEO of the BU and lead a team of growth managers, who are already delivering solid results. Your job is to help them aim higher and build the systems that make strong performance repeatable.

What you will do:

• Own web revenue performance across the unit and set the direction for how the team moves these numbers
• Audit current web growth processes and build the strategy from there
• Lead the shift to web-to-web as the primary growth format — scaling what works and fixing what doesn’t
• Lead, mentor, and develop a team — raise the hard skills bar, drive accountability, and create the kind of environment where ambitious targets feel energizing rather than exhausting
• Work closely with heads of product, marketing, analytics, and engineering to move initiatives from strategy to execution

What you should have:

• 5+ years of experience in growth or product marketing within subscription-based environments, with a strong focus on web and web-to-web
• 3+ years of leadership experience managing growth teams and driving cross-functional collaboration across product, marketing, analytics, and engineering
• Proven track record of taking subscription products through different stages: you’ve launched from scratch, scaled what was already working, and diagnosed why something that should be growing isn’t
• Deep understanding of unit economics and web growth metrics: CAC, LTV, ROAS, retention, churn, funnel conversion — and how they connect to each other
• Understanding of how LTV prediction models are built and what drives them
• Experience with payment infrastructure: you know how subscription billing works end-to-end
• Hypothesis-driven approach to growth: you build experiments, read results honestly, and iterate fast
• Sharp analytical thinking — you work comfortably with numbers, notice what others miss, and can translate data into decisions
• Solid people management instincts — you know how to develop talent
• Strong written and spoken English

What we offer:

• Results-oriented colleagues committed to scaling impactful products. Your team will help you achieve the most ambitious goals
• Remote-friendly work environment with high autonomy and minimal bureaucracy
• Competitive fixed salary+ generous performance-based bonus
• Medical insurance (depending on the location)

• Paid vacations, sick days, and other benefits

   

Location

AIBY is a team of strong international top talents. This role allows for either hybrid (combining in-office and remote work), fully remote or in-office work.

We are seeking a highly skilled and experienced Team Lead Python/Django to join our dynamic team.

As a Team Lead, you will be an expert and a leader, playing a crucial role in guiding the development team, making technical decisions, and ensuring the successful delivery of high-quality software products.

Skills Requirements:

• 5+ years of experience with Python 3.4+;

• 4+ years of experience with Django/DRF and RESTful APIs;

• Experience working with relational and NoSQL databases (PostgreSQL, MongoDB, etc.);

• Familiarity with Elasticsearch;

• Knowledge of cloud solutions: AWS, GCP, Azure;

• Experience in multithreading/multiprocessing approaches;

• Proven experience in supporting and developing existing high-load projects;

• Proficiency with Docker, Kubernetes, and CI/CD pipelines;

• Previous experience in a Team Lead role;

• English proficiency — Upper-intermediate.

Key responsibilities:
• Lead and manage the Backend department and development process, providing support to team members.
• Develop and contribute to Backend Architecture.
• Participate in pre-sale activities
• Participate in decision-making processes related to design architecture, solution development, architectural, and code reviews.
• Write clean, well-structured, and maintainable code while maintaining high coding standards within the team.
• Develop high-load solutions and conduct R&D work with new technology.

Optional skills (as a plus):

• Experience with Celery;

• Experience with payment systems integrations.

We offer:

• Great networking opportunities with international clients, involving challenging tasks;

• Involvement in building interesting projects from scratch using new technologies;

• Personal and professional development opportunities

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Comfortable, spacious, and well-equipped office in the city center;

• Team-building activities, corporate events.

ZentixSoft is looking for a Senior AQA Engineer (Automation & API) 🚀
 

At ZentixSoft, we live by the “People over processes” principle—and we actually mean it. We truly care about our team, which is why we offer:
 💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
 🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your expertise. 
⚖️ Work-Life Balance: No senseless overtime.
 

If you are ready to drive software quality on complex products and level up your career with us, here is what our perfect match looks like:

1️⃣ Timezone Alignment: To ensure smooth collaboration with the client, we work on a flexible schedule with a mandatory overlap until 3:00 PM EST (which is evening time, up to 10:00/11:00 PM, for Ukraine/EET). 
2️⃣ Your Background: You have 5+ years of commercial QA experience with a heavy focus on test automation (UI, API, and Data validation). 
3️⃣ Test Design & Databases: Solid understanding of QA methodologies and strong SQL skills for deep data validation.
4️⃣ Cloud & CI/CD: Hands-on experience with cloud platforms (preferably AWS) and integrating automated tests into CI/CD pipelines. 
5️⃣ Nice to Have: QA certifications (like ISTQB) and experience with AI-driven testing tools and practices. 🤖
 

If you feel like you are ready for this challenge and this vibe is all about you, we are looking forward to your resume! 📂

The Go Backend Slot Game Engine Developer is the game-logic authority for the project. The role builds the server-side slot engine from scratch on a Go-based slot Game Development Kit (GDK) and owns it end-to-end — from the math model through integration
review, certification readiness, and live operation on the Remote Gaming Server (RGS) platform.
Scope of ownership covers the slot engine's game logic and mathematics (RTP structure, reel strips, paylines / clusters / Megaways / avalanche, win evaluation), the feature set (buy bonus, ante bet, free spins including retriggers and player-choice, max-win validation), the
paytable and reel/volatility configuration, the RTP simulation and validation harness, and the engine's conformance to the RGS integration contract — the engine lifecycle interfaces, the
spin/keep-generate/replay endpoints, RNG consumed exclusively through the SDK-injected RNG client, and SDK-compliant submission for platform integration review.
Technical Constraints
- Language: Go (1.24+).
- Transport: HTTP and gRPC
- Randomness: all RNG is delegated to the platform RNG service and consumed exclusively through the SDK-injected RNG client. Local or library randomness on game outcomes is treated as Non-Compliance.
- Configuration: reel sets, RTP and volatility externalized to configuration; simulator and runtime parameters via configurations and environment variables. No hardcoded math values in business logic.
- Version control: Git, with Go modules for dependency and version management.
- Local development: engine runs locally and connects to the development platform API via a tunnel; validated against SDK-provided mock services and simulators before submission.
- Deliverable: a compiled engine build submitted through the designated submission process, accompanied by build manifest (version, commit hash, build date), paytable configuration, and a signed SDK compliance statement.
Responsibilities
- Own the slot engine implementation: the engine lifecycle interfaces (spin generation, keep-generate for player-choice sequences, history replay / shown-state logic) and the conversion of game outcomes into the platform's wire model.
- Own the game mathematics: RTP structure, reel strips, paylines / clusters / Megaways, and win evaluation — modelled as the sole server-side authority on probability and outcome, with all probability and balance tables externalized to configuration.
- Own the feature set: buy bonus, ante bet, free spins (fixed, retriggerable, and player-choice), and max-win validation.
- Own the balance configuration tooling: a documented mechanism and config format so Game Design and math can update reel sets, RTP, volatility, and paytable values without code changes.
- Own the RTP simulation and validation harness: run the SDK simulator to prove target RTP, volatility, and max-win behavior, and attach the simulation report to each submission.
- Own SDK compliance and submission: use only documented SDK APIs, implement all required lifecycle methods, conform outgoing payloads to the published event and message schemas, stay within the supported SDK version range, and produce a signed compliance statement per build.
- Drive each build through the platform integration review: package the required submission artefacts, remediate documented review findings, and re-submit until integration is accepted.
- Author and maintain backend documentation: the math/game-logic specification, configuration format, architecture records, and a developer-readable README for the engine.
- Pair with the Game Designer and the client (frontend) team to translate design and GDD
intent into server-feasible, server-authoritative engine specifications.
- Own the engine's quality and security posture: unit-test coverage of game-logic modules, clean SAST/DAST scans, and no secrets in source, fixtures, or commit history.
- Actively use and document the use of AI tools (ChatGPT, Gemini, Claude) to accelerate scaffolding, math modelling, and documentation. Document outcomes alongside prompts so the workflow is reproducible by the team.
Requirements
The position has four hard pillars.
Pillar A — Go Service Architecture and SDK Integration
- Demonstrated ability to design a layered Go service in which the game-logic domain is unit-testable without booting the transport layer, the SDK, or any external service.
- Working knowledge of implementing engine lifecycle interfaces against a provided SDK:
spin generation, continuation (keep-generate) for multi-step sequences, and deterministic reconstruction of stored spins for history replay.
- Discipline in conforming to published event and message schemas, with consistent, well-defined error semantics across the contract.
- Versioning discipline: ability to evolve the engine and its wire payloads without breaking shipped client builds, including a documented deprecation policy, and to stay within the
SDK's supported version range without deprecated calls.
- Ability to externalize hand-tunable parameters (reel sets, RTP, volatility, paytable, limits) through configuration rather than code.
Pillar B — Slot Mathematics and Game Logic
- Demonstrated ability to model probabilistic slot mechanics where the server is the sole authority on probability, tier, and outcome.
- Probability, reel, and balance tables externalized to configuration. Hardcoded math or balance values inside business logic are treated as Non-Compliance.
- Currency and award math: integer or fixed-point arithmetic for all wager, balance, and award operations. Floating-point arithmetic on monetary values is treated as Non-Compliance.
- All randomness consumed exclusively through the SDK-injected RNG client; no local or library RNG on game outcomes.
- Working knowledge of common slot mechanics: paylines (left-to-right / right-to-left), clusters, Megaways, avalanche/cascades, free spins (fixed, retriggerable, player-choice), buy bonus, and ante bet, with max-win validation.
Pillar C — Determinism, Compliance, and Integrity
- Demonstrated ability to guarantee deterministic replay: a stored spin must reconstruct to an identical, player-visible state on history replay.
- Anti-abuse posture: idempotency for retry-prone operations, replay resistance.
- SDK compliance discipline: use of only documented APIs, no private or undocumented endpoints, correct lifecycle implementation, and a signed compliance statement per build.
- Secret-handling discipline: no secrets, signing keys, or credentials in source, fixtures, or commit history; awareness of and mitigation for common (OWASP Top 10) vulnerability categories.
Pillar D — Simulation, Performance, and Reliability
- Demonstrated ability to run large-scale spin simulation to validate statistical targets (RTP, volatility, hit rate, max-win) and to produce a reproducible simulation report.
- Working understanding of latency and throughput budgets for spin endpoints, including how serialization, allocation, and hot-path design affect them.
- Profiling expertise on a Go service: ability to localize latency or contention using application-level traces, profiling tools (e.g. pprof), and load-test evidence.
- Observability discipline: structured logs with correlation IDs across requests and metrics on the relevant endpoints.
- Testing discipline: unit-test coverage of game-logic modules with clean SAST/DAST scans.