Jobs

Our client is a global leader in infrastructure software, specializing in enterprise API management and digital integration.

They are looking for a strategic Senior Technical Product Owner to drive product vision and shape the future of their API and integration platform.

About the Position:

We are hiring a Senior Technical Product Owner to lead product strategy, own the roadmap, and deliver high-impact SaaS solutions.

You will act as a bridge between business, customers, and engineering, transforming market needs into scalable, technically sound product features.

Responsibilities:

• Own and drive the product roadmap and vision
• Manage and prioritize the product backlog based on business impact
• Translate customer needs and market trends into product features
• Collaborate with engineering, design, and business teams
• Participate in technical discussions and architecture alignment
• Lead product launches and feature rollouts
• Manage stakeholders, including executives, partners, and clients
• Identify bottlenecks and drive product improvements
• Ensure strong user-centric approach and product usability

Requirements:

• 5+ years of experience in Product Owner / Product Manager roles
• Experience in a SaaS environment
• Strong understanding of Agile methodologies (Scrum, Kanban)
• Solid technical background with software development experience
• Experience working with Java-based systems
• Ability to influence system design and architecture decisions
• Experience delivering products from idea to release
• Strong prioritization, analytical, and communication skills
• Experience with tools like Jira, Aha
• Ability to work in fast-changing, ambiguous environments
• Willingness to travel (~10%, including international)

Nice to Have:

• Experience in API management / integration / iPaaS
• Exposure to AI / ML
• Background in UX research or design

Benefits:

• 100% Remote
• Competitive USD compensation
• Flexible working hours
• Home office setup provided
• Work in a global product company

Join the team and build products that power modern digital ecosystems!

We are looking for a highly technical Senior QA Engineer to join a fast-paced product team building specialized workforce management software for large-scale industrial operations.

The system is a hardware-integrated SaaS platform that processes real-time field data and delivers actionable insights through dynamic dashboards and mobile interfaces.

The platform’s core includes IoT data ingestion, workforce tracking, and advanced scheduling logic, with a strong focus on real-time analytics.

This role focuses on automating complex user interfaces involving high-frequency data updates and large datasets.

This is an Individual Contributor role with high ownership over the testing strategy and automation framework.

This is not a manual QA-only role. The position requires deep expertise in Playwright, strong programming skills, and the ability to work with complex, dynamic UI systems.
 

Strong Playwright expertise is the primary screening signal and will be validated during the technical interview.
 

About the Client:

A US-based product company in the Construction Technology domain.

The platform replaces manual time tracking with AI-powered biometric verification. It helps contractors capture accurate work hours, reduce payroll errors, track crews and cost codes in real time, and sync labor data into systems such as Procore, CMiC, Vista, and Power BI.
 

Responsibilities:

• Develop and maintain a robust automation framework from scratch
• Automate complex UI with dynamic content and frequent updates
• Identify and document edge-case scenarios in highly dynamic UI components
• Collaborate with frontend developers to ensure the testability of new features
• Perform root-cause analysis of flaky tests
• Monitor and improve test execution time within CI/CD pipelines
• Conduct manual testing where automation is not yet feasible
   

Requirements:

• 5+ years of experience in Software Quality Assurance
• Expert-level proficiency with Playwright (JS/TS) (core requirement)
• Strong programming skills in JavaScript and TypeScript
• Proven experience testing dynamic content and complex/virtualized lists
• Deep understanding of DOM manipulation and asynchronous event handling
• Experience with CI/CD integration for automated test suites
• Proficiency in Chrome DevTools for debugging and performance profiling
• Proactive attitude toward identifying architectural bottlenecks
• Ability to work independently in a remote environment
• Strong documentation skills for bug reporting and test planning
   

We offer:

• Remote-first flexibility
• Exposure to modern automation frameworks
• High ownership over testing strategy and quality processes
• Collaboration with a high-performing international engineering team
• Reservation option for candidates based in Ukraine
   

We will be happy to get in touch and share more details about the role 🙂

We are looking for a Senior PHP Developer to join a long-term project focused on building and evolving a complex data-processing platform in the Construction Technology domain.

This role is centered around backend architecture, high-load systems, and real-time data processing. You will be responsible for designing scalable services, managing asynchronous data flows, and ensuring reliable ingestion and processing of IoT device data.

The platform plays a key role in workforce tracking, operational efficiency, and automation of field processes. It processes large volumes of real-time data and applies complex business logic for workforce scheduling and analytics.

This is a backend-focused role with high ownership and impact on system architecture and performance.
 

Benefits

• Opportunity to solve complex architectural and high-load challenges
• Professional growth within a scaling tech company
• High-impact role in a real-world IoT and data-driven product
• Work with modern backend technologies and distributed systems
• Remote-first environment with flexibility and autonomy
   

About the Client

International product company in the Construction Technology domain, focused on automating workforce management processes through IoT and cloud-based solutions.

The product replaces manual time tracking with automated data collection, improves payroll accuracy, and enables real-time tracking of workforce operations and analytics.
 

About the Project

The platform’s core processing system is responsible for IoT data ingestion, real-time processing, and advanced workforce scheduling logic.

The system provides real-time dashboards and analytics for operational decision-making.
 

Location: United States

Duration: long-term
 

Requirements

• 5+ years of commercial experience with PHP in backend development
• Strong expertise in Laravel and its ecosystem in production environments
• Deep knowledge of PostgreSQL, including optimization, indexing, and schema design
• Experience with Laravel Jobs and queue systems (Redis, SQS)
• Solid understanding of RESTful APIs and third-party integrations
• Experience with Eloquent ORM performance tuning and N+1 query prevention
• Familiarity with Docker and containerized development
   

Additional Requirements

• Strong understanding of SOLID principles and clean code practices
• Strong problem-solving skills and attention to detail
• Experience working in Agile/Scrum environments
• Upper-Intermediate (B2+) English level for spoken communication
   

Responsibilities

• Design and implement scalable backend services and APIs
• Architect and evolve backend systems for high-load environments
• Optimize complex database queries to handle large volumes of real-time data
• Build and manage asynchronous processing using queues and background jobs
• Ensure reliable ingestion and processing of IoT-driven data streams
• Conduct code reviews and maintain high standards of code quality
• Refactor legacy components into modern, maintainable service patterns
• Collaborate with product and engineering teams to translate business requirements into technical solutions
   

🇺🇦 Additional Notes

• We consider candidates both in Ukraine and abroad
• For specialists based in Ukraine, we provide the option of official booking (reservation)
   

📩 How to Apply

If you’re interested, please send us:

• Your CV/resume
• Your expected salary (gross)
• Confirmation of your spoken English level
• Your preferred contact method (Telegram is welcome, if convenient)
   

We’ll get back to you shortly with the next steps of the process.

About the Project

An industrial IoT platform serving retail and industrial clients is undergoing a full greenfield rebuild. The existing single-tenant system has outgrown its architecture, and the approved path forward is a modern, modular monolith built from scratch. You'll be the primary engineer on this rebuild, working directly with a hands-on product manager to deliver a platform that covers real-time device monitoring, energy and fluid-level tracking, helpdesk and work-order management, and client invoicing. The engagement is full-time, fully remote, and planned for 6+ months.

Tech Stack

Backend: Python
Frontend: React
API Layer: OpenAPI (API-first design)
Architecture: Modular monolith

Responsibilities

- Architect and build the full-stack platform from scratch, following an agreed modular monolith structure with a clean separation of concerns
- Design and implement an OpenAPI-first API layer, ensuring contracts are defined before implementation and remain the source of truth throughout
- Build frontend interfaces in React for real-time data visualisation — device status, energy readings, fluid levels, alerts, and reports
- Develop backend modules for device and installation management, helpdesk and work-order workflows, and invoicing
- Work within an agentic co-programming workflow, where AI tooling plays an active role in development, guided by a structured AOP-based system of coding guidelines and constraints
- Maintain high standards of code quality and scalability throughout — this codebase is expected to evolve well beyond the initial build
- Collaborate closely with the product manager, who owns the architecture vision and coordinates delivery

What We're Looking For

- 5+ years of full-stack development experience with React and Python as your primary stack
- Demonstrated experience designing and building modular monolith or similarly structured architectures from the ground up — not just maintaining existing systems
- Solid command of OpenAPI and API-first design practices
- Comfortable working in an AI-assisted development workflow — you've used AI tooling as a genuine co-programming tool, not just autocomplete
- Ability to operate with a high degree of autonomy as the sole technical contributor, while staying aligned with a non-technical or semi-technical PM
- Strong instincts around code quality, structure, and long-term scalability — you write code that can be built on, not just shipped
- Familiar with AOP principles or structured coding constraint systems, and able to apply and work within such guidelines in practice

Nice to Have

- Experience with IoT-adjacent platforms or real-time data streams — device telemetry, sensor data, event-driven patterns, or similar
- Exposure to multi-tenant architecture considerations, even if the chosen approach for this project is still being defined
- Background in industrial, energy, or field-service software domains

Being a part of 3asoft means having

- High level of flexibility and freedom

- P2P relationship with worldwide customers

- Competitive compensation paid in USD

- Fully remote working

We are looking for a Senior DevSecOps with strong Azure background to join a product team working on a high-load AI-powered application.

Key areas of focus:
Azure infrastructure and security (Entra ID, Managed Identity, networking)
Async task processing and scalable queue-based architectures
CI/CD security practices - vulnerability scanning, dependency management
Observability - logging, tracing, monitoring at scale
Experience with Python-based backends in high-load environments
The role requires hands-on problem-solving ability, not just configuration experience. The candidate will be expected to advise on architecture decisions.

You will join the Advanced Analytics team of a leading multinational energy company, working on one of the most technically demanding applications of machine learning in the engineering domain. The mission is to augment the upstream design configuration process for complex mechanical equipment - reducing manual iteration cycles before simulation software is ever invoked. This role sits at the intersection of applied ML and mechanical engineering, working directly with senior engineering stakeholders on highly bespoke, domain-specific datasets.

What You Will Do

· Analyze and model FEA-derived engineering datasets - load cases, material properties, geometric configurations - to build ML-based surrogate models that predict optimal design configurations.

· Apply uncertainty quantification techniques to assess model confidence and communicate prediction reliability to engineering stakeholders.

· Implement active learning strategies to intelligently prioritize the most informative simulation runs, minimizing the number of costly iterations required to train robust models.

· Collaborate closely with mechanical engineers and product management to translate domain constraints into well-defined ML problem formulations.

· Select, justify and implement appropriate ML approaches - regression, ensemble methods, neural networks based on dataset characteristics, and defend those choices with technical rigor.

· Build, validate and iterate on models using Python in an AWS environment.

· Work semi-autonomously: take high-level requirements, structure the problem independently and drive execution with minimal oversight.

Mush Have

· Mechanical or physical engineering domain experience - hands-on exposure to engineering datasets involving loads, stress, pressure, material properties or structural behavior. Aerospace, subsea, automotive and heavy industry backgrounds are all relevant.

· FEA dataset fluency - you understand what simulation output data looks like, how it is structured and what the physical quantities represent. Operational knowledge of ANSYS or Abaqus is not required, but you must have worked with data generated by tools of this kind.

· Strong ML foundations - deep grounding in mathematics and statistics. You can justify algorithm selection, explain model behavior and diagnose failure modes. You do not treat ML as a black box.

· Uncertainty quantification - applied UQ experience in an engineering or scientific context.

· Active learning - practical experience designing or implementing active learning loops to reduce the number of expensive simulations runs needed to train reliable models.

· Production-quality Python — clean, maintainable ML code built for real engineering workflows.

· Autonomous working style — you can take high-level requirements, structure the problem independently and deliver without daily oversight.

What Will Set You Apart

· Experience with surrogate modelling, design space exploration or simulation data regression.

· Familiarity with FEA/CFD simulation workflows (ANSYS, Abaqus, Fluent) - you do not need to operate these tools, but understanding the workflow is a meaningful advantage.

· Background in physics-informed ML or scientific computing.

· AWS experience for model development and deployment.

What you will love about working here?

We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
The gift from the company - Christmas holidays from 25 December to 31 December.
Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub.

Ajax Systems is an international technological company and Europe’s largest security system manufacturer. In addition, the company offers solutions for video surveillance, smart homes, fire detection, and flood prevention. The product portfolio includes 280 wireless and wired devices for security and automation. Today, Ajax protects over 4.5 million users in 187 countries worldwide. 

We are looking for a smart, experienced, and technically proficient Senior Java Developer to join our team in Kyiv office.

Required Experience:

- Java: 5+ years of professional backend development in enterprise environment
- Kotlin: Knowledge and practical work experience
- Java Concurrency: Strong understanding and practical application experience

Architecture & Design
- Understanding of SOA, microservice, and event-driven architecture
- Cloud development principles with practical AWS experience
- Ability to scale and ensure high availability of loaded systems

Technologies & Tools

Required:

- Kafka, MongoDB, NATS
- Enterprise-grade stack (messaging brokers, in-memory storages, NoSQL, key-value databases)
- Docker and Kubernetes (containerized applications)
- Git, Gradle, Jenkins
 

Nice to Have:
- Redis, Netty, Akka, gRPC, Project Reactor
 

We offer:
- The opportunity to share and implement your own ideas that could impact products and production
- Work with a motivated team and an environment with a zero-bullshit culture
- Competitive salary
- Medical insurance
- Corporate English classes

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gambling / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Project Overview

Web-based investment platform making smart investing accessible to a broader audience. You will join the IT Development department, working closely with business stakeholders to design, implement, and maintain key business applications and services. The role combines strong engineering craft with architectural input and close collaboration with Product and Engineering Lead.

Tech Stack: Scala · Kafka · Cats-Effect · Doobie · Akka / Pekko · Kubernetes · AWS · CI/CD

Requirements (Must-have):

• Strong hands-on experience with Scala — production level
• Fluent English — written and spoken
  
  Responsibilities:
• Contribute to software and architectural design decisions in close collaboration with the team
• Write efficient, reliable, clean, and thoroughly tested code for a CI/CD environment
• Work with Engineering Lead and Product Manager to design upcoming projects
• Research and evaluate new approaches and technologies when needed
  
  Nice to Have:
• Kafka and Kafka Streams experience
• Typelevel stack — Cats-Effect, Doobie
• Akka / Pekko toolkit — Http and Streams
• Microservices architecture and event streaming systems
• Kubernetes and AWS knowledge
• Experience with Extreme Programming values and principles
• Background in financial services systems
• Experience in remote-friendly distributed teams
• Agile methodologies — principles and ceremonies
  
  Hiring Process: Intro call → Technical discussion → Offer

Your future responsibilities:

• Act as the primary technical and architectural contact for both business and IT teams within the Core Banking domain
• Develop and maintain the Software Architecture Document (SAD) covering both business and technical architecture of the Core Banking system
• Collaborate with business analysts to gather requirements, assess risks, and ensure solution architecture aligns with business strategy
• Prepare technical documentation compliant with Enterprise Architecture principles and banking regulatory requirements
• Ensure APIs comply with security standards and technical requirements (JWT, OAuth 2.0, RBAC, OWASP Top 10)
• Provide hands-on technical guidance to development teams, including code reviews, architectural best practices, and problem-solving
• Work closely with development teams on integration design and implementation of Core Banking business logic
• Support architectural consistency and integrity of technical decisions within the Core Banking scope
• Coordinate technical debt management and prioritize the architectural backlog
• Promote modern engineering, architectural, and design practices such as Domain-Driven Design (DDD), CQRS, Event Sourcing, and microservices
• Mentor and coach team members, fostering a collaborative culture with a security-first mindset

Your skills and experience:

• 5–7 years of IT experience with proven architecture expertise in banking systems, specifically Core Banking
• Strong knowledge of API design and management, including OpenAPI Specification 3.0 and API Gateway patterns
• Practical experience with microservices and event-driven architecture in production environments
• Understanding of Domain-Driven Design (DDD), enterprise integration patterns, and resilience patterns (Circuit Breaker, Saga)
• Proficiency in Java, Spring Boot, and modern programming practices (clean code, testing, algorithm design)
• Experience with Kubernetes, Docker, CI/CD pipelines, and Infrastructure as Code (Terraform)
• Practical experience with Kafka, RabbitMQ, or similar messaging platforms
• Solid knowledge of SQL/NoSQL databases, caching strategies, and data modeling
• Experience with workflow orchestration and BPM tools (Camunda or similar)
• Cloud expertise with AWS services (EC2, RDS, S3, Lambda) and networking fundamentals
• Familiarity with observability tools (ELK, Prometheus, Grafana) and deployment strategies (Blue/Green, Canary)
• Strong understanding of banking domain: customer onboarding, account management, KYC, compliance requirements, CRM/Customer 360 integration
• Excellent communication skills with the ability to explain complex technical concepts to both technical and business stakeholders
• Experience facilitating workshops, stakeholder negotiations, technical leadership, and mentoring
• Experience in Data is desirable

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)

______________________________________________________________________

Твої майбутні обов’язки: 

• Виступати основною технічною та архітектурною контактною особою для бізнес- і ІТ-команд у домені Core Banking
• Розробляти та підтримувати документ архітектури програмного забезпечення (SAD), що охоплює як бізнес-, так і технічну архітектуру Core Banking системи
• Співпрацювати з бізнес-аналітиками для збору вимог, оцінки ризиків і забезпечення відповідності архітектури рішення бізнес-стратегії
• Готувати технічну документацію відповідно до принципів корпоративної архітектури та регуляторних вимог банківської сфери
• Забезпечувати відповідність API стандартам безпеки та технічним вимогам (JWT, OAuth 2.0, RBAC, OWASP Top 10)
• Надавати практичне технічне керівництво командам розробки, включаючи code review, архітектурні best practices та вирішення проблем
• Тісно співпрацювати з командами розробки щодо проєктування інтеграцій і реалізації бізнес-логіки Core Banking
• Підтримувати узгодженість і цілісність архітектурних рішень у межах Core Banking
• Координувати управління технічним боргом і пріоритизувати архітектурний беклог
• Просувати сучасні інженерні та архітектурні практики, такі як Domain-Driven Design (DDD), CQRS, Event Sourcing і мікросервіси
• Менторити та навчати членів команди, сприяючи культурі співпраці з фокусом на безпеку

Твій досвід та навички:

• 5–7 років досвіду в ІТ із підтвердженою експертизою в архітектурі банківських систем, зокрема Core Banking
• Глибокі знання проєктування та управління API, включаючи OpenAPI Specification 3.0 та патерни API Gateway
• Практичний досвід роботи з мікросервісами та event-driven архітектурою у production-середовищах
• Розуміння Domain-Driven Design (DDD), enterprise integration patterns і патернів відмовостійкості (Circuit Breaker, Saga)
• Впевнене володіння Java, Spring Boot і сучасними практиками програмування (clean code, тестування, розробка алгоритмів)
• Досвід роботи з Kubernetes, Docker, CI/CD пайплайнами та Infrastructure as Code (Terraform)
• Практичний досвід із Kafka, RabbitMQ або подібними платформами обміну повідомленнями
• Ґрунтовні знання SQL/NoSQL баз даних, стратегій кешування та моделювання даних
• Досвід роботи з оркестрацією workflow і BPM-інструментами (Camunda або подібні)
• Досвід роботи з хмарними сервісами AWS (EC2, RDS, S3, Lambda) і розуміння мережевих основ
• Знайомство з інструментами спостережуваності (ELK, Prometheus, Grafana) та стратегіями деплойменту (Blue/Green, Canary)
• Глибоке розуміння банківського домену: онбординг клієнтів, управління рахунками, KYC, вимоги комплаєнсу, інтеграція CRM / Customer 360
• Відмінні комунікаційні навички з умінням пояснювати складні технічні концепції як технічним, так і бізнес-стейкхолдерам
• Досвід проведення воркшопів, переговорів зі стейкхолдерами, технічного лідерства та менторства
• Досвід роботи з даними буде перевагою

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)

Hello, we are looking for a Senior Backend Engineer (PHP / Laravel, Highload Systems & Integrations). Real-world experience in system design is essential. 

Our Skin Marketplace product in the iGaming industry needs an experienced backend developer who can design the architecture, build robust integrations, and take responsibility for key technical decisions.

Location: remotely.

Team: 2 Backend Developers, 2 DevOps engineers, 2 Frontend Developers, Designer, QA engineer,  Product Manager.

Requirements:

- Excellent knowledge of PHP and Laravel - сommercial work experience 4-5+ years 

- Practical experience with:

        - Clean Architecture

        - DDD

- Working with several types of external APIs:

          - Payment systems (crypto/fiat)

          - Data providers (pricing, inventory, etc.)

          - Third-party CS2 marketplace APIs - will be a plus

- Deep understanding of:

          - Working with unstable external APIs

          - Rate limits

          - Retry/backoff strategies

          - Idempotency

          - Webhooks/event-driven approach

- Async and processes:

          - Queues and background processes

          - Event-driven architecture

          - Workflow systems (Temporal is a required)

- Infrastructure and performance:

          - MySQL (optimization, indexes, complex queries)

          - Redis (various usage patterns)

          - Docker

          - Understanding of highload and scaling

- PSR12 compliance

- Experience with data caching

- Experience working with webSockets

- Level of English - Intermediate 

List of technologies:

- PHP 8.2 / Laravel 10/11 / MySQL / Redis / REST API / Docker / Git (CI/CD)

- Required: RoadRunner / Temporal (or similar workflow engines) 

- A ​​plus: Kubernetes

Responsibilities:

- System architecture design

- Key technical decision making

- Development of complex services and integrations

- Performance optimization

- Code review and quality control

Tasks description:

- Design and development of backend architecture (Clean Architecture / DDD)

- Building robust integration layers

- Developing complex business logic

- Working with asynchronous processes and workflows (Temporal)

- Integration with external APIs (payment systems, data providers, gaming APIs)

- Performance and scalability optimization

- Participation in technical solutions

Will be an advantage:

- Experience with:

     - RoadRunner

     - Kubernetes

     - Marketplace / trading systems

- Experience with high-load systems

- Experience building platform solutions

- Experience in the gaming or digital goods industry

What we could offer:

• 24 days of paid leave per year.
• 100% paid sick leave.
• Salary range: $4000–$5000 USD (depending on skills and experience).
• Full-time remote.
• Long-term collaboration.
• Sustainable business.
• Game and entertainment development company.
  
  Stages:
• Recruiter pre-view.
• Test task.
• Technical interview..
• Manager's interview..
   

From Ukraine to Europe: Nova Post Europe is already operating in 16 countries and continues to grow every day. Our team is united by a desire to move forward, achieve results, and explore new opportunities together. We are looking for people who want to create more — a large-scale European project born in Ukraine.

We are looking for a Head of Sales who will be responsible for sales development, achieving commercial targets, and building an effective sales strategy.

Your main responsibilities:

Achieving sales targets and business growth

• Achieving and exceeding sales, revenue, and profitability targets in Germany
• Ensuring stable growth of shipment volumes and market share

Strategic planning and execution

• Developing and implementing a commercial strategy adapted to the German market
• Launching new services, entering new customer segments, and scaling key accounts

Market and competitor analysis

• Continuous analysis of the German logistics, courier, and e-commerce market
• Monitoring competitors, pricing, and market trends to identify growth opportunities

Leadership and team management

• Building, leading, and developing the Sales team in Germany (Sales Managers, Account Managers)
• Hiring, onboarding, coaching, and motivating the team
• Creating a high-performance, result-oriented sales culture

Sales process optimization

• Designing and improving end-to-end sales processes: lead generation, conversion, onboarding, cross-sell, up-sell, retention, and churn prevention
• Implementing best sales practices and CRM-driven processes

Customer acquisition and account development

• Acquiring new B2B clients (e-commerce, SMEs, enterprise)
• Developing relationships with existing clients through strategic account management

Cross-functional collaboration

• Close cooperation with Marketing, Product, Operations, Finance, and HR teams
• Alignment with Nova Post Europe HQ and Nova Poshta Ukraine to ensure unified commercial standards and synergy

Pricing and unit economics

• Participation in pricing strategy development for the German market
• Managing unit economics, profitability, and commercial efficiency

Forecasting and reporting

• Preparing sales forecasts, budgets, and regular reports for top management
• Monitoring KPIs (revenue, margin, conversion, pipeline, churn, etc.) and adjusting strategy based on data

Work with key clients

• Personal involvement in negotiations with key and strategic clients (Category A)
• Building long-term partnerships with major customers and business partners

Compliance and standards

• Ensuring compliance with Nova Post commercial standards, policies, and quality requirements in Germany

Company representation

• Representing Nova Post Deutschland at industry events, conferences, and business meetings in Germany as a brand ambassador

Key Requirements:

• At least 5 years of experience in managing B2B sales with a proven track record of achieving and exceeding targets

• Experience in building and managing sales teams, including development, motivation, and scaling

• Strong negotiation skills at the C-level and ability to sell value rather than compete solely on price

• Strategic thinking with the ability to develop and execute effective commercial strategies

• Analytical mindset and experience in data-driven sales management, including planning, forecasting, and KPI control

• Deep understanding of the market, customers, and competitive landscape

• Results-oriented mindset with accountability for commercial performance and achieving ambitious targets

• Ability to work in a fast-paced environment, manage change, and make quick decisions

• Strong communication and leadership skills with the ability to inspire teams to achieve results

• Proficiency in the German language at B2 level or higher and English at B2+

We offer

• Full official employment — including paid sick leave, vacations, and business trips.
• All necessary equipment for comfortable and efficient work.
• Comfortable office in Berlin city center
• Opportunities for skill development, participation in new projects, and growth within the company. Our team is united by professionalism, trust, and a shared goal.

Everything starts with the first step. Send us your CV and join Nova Post in building the future of logistics in Europe.

We are looking for a Senior Data Engineer to join our growing team. In this role, you will help build and scale modern data infrastructure and pipelines that power analytics, business intelligence, product insights, and operational decision-making across our omni-channel commerce platform.
 

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines and infrastructure across cloud environments.
• Develop and manage ETL/ELT workflows to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Partner closely with product, engineering, analytics, and business teams to ensure trusted, accessible, and timely data across the organization.
• Optimize data storage, modeling, and query performance to support reporting, analytics, and operational use cases.
• Build and maintain batch and real-time data processing systems using modern tools and frameworks.
• Improve data reliability and quality by implementing monitoring, validation, alerting, and observability practices.
• Support deployment, scalability, and orchestration of data workloads using containerization and workflow automation tools.
• Implement and maintain CI/CD pipelines for data workflows and infrastructure.
• Ensure data governance, privacy, and security standards are upheld across all data systems.
• Contribute to architecture decisions, code reviews, documentation, and best practices for data engineering.
• Stay current with emerging technologies and best practices in data engineering to continuously improve platform capabilities.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Proven experience as a Data Engineer, with strong hands-on experience building and managing production-grade data pipelines.
• Strong proficiency with cloud platforms such as AWS and/or Azure, including modern data services.
• Experience with Python and strong SQL skills for data transformation, automation, and analysis.
• Experience with distributed data processing and streaming technologies such as Apache Spark, Kafka, or similar tools.
• Familiarity with workflow orchestration tools such as Airflow, DBT, or equivalent.
• Experience with data warehousing and lakehouse technologies such as Snowflake, Redshift, BigQuery, Databricks, or similar platforms.
• Solid understanding of ETL/ELT design patterns, data modeling, and data architecture best practices.
• Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.
• Experience with version control systems such as Git.
• Strong problem-solving skills and a proactive approach to performance optimization, troubleshooting, and continuous improvement.

Preferred Qualifications

• Experience with data governance, security, and privacy best practices in cloud environments.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience supporting analytics, machine learning, or reporting use cases with well-structured data systems.
• Knowledge of BI and visualization tools such as Power BI or Tableau.
• Previous experience working in agile, cross-functional product and engineering teams.
• Experience in retail, e-commerce, omni-channel commerce, or POS platforms is a strong plus.

Why PredictSpring?

• Join a category-leading company transforming the future of retail and omni-channel commerce.
• Work with innovative technology powering seamless online and in-store customer experiences.
• Collaborate with a talented, global team in a flexible remote work environment.
• Enjoy opportunities for professional growth and career development.
• Make a direct impact on products used by some of the world’s most recognized retail brands.
• Be part of a fast-moving, collaborative, and customer-focused culture at the forefront of commerce innovation.

We are looking for an experienced Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

We are looking for an Azure Data Engineer to design, build, and operate data integration pipelines on Microsoft Azure. You will focus on moving, transforming, and preparing data from multiple systems to support analytics, reporting, and business processes.

This role involves daily hands-on development and active participation in delivery projects.

What You Will Do

• Build and maintain data integration pipelines using Azure services 
• Implement data ingestion and transformation workflows from multiple data sources 
• Integrate data from databases, APIs, and file-based systems 
• Schedule and monitor data workflows to ensure reliable data delivery 
• Troubleshoot and improve performance and stability of data pipelines 
• Collaborate with architects and engineers on data platform solutions 

Required Technical Skills

Azure Data Engineering

• Hands-on experience with Azure Data Factory 
• Experience with Azure Data Lake Storage (ADLS) 
• Experience with Azure Synapse Analytics or Microsoft Fabric 
• Strong knowledge of SQL and T-SQL 
• Experience building and maintaining ETL / ELT pipelines 
• Experience implementing data transformations using SQL or Azure Data Factory Data Flows 
• Understanding of data warehouse or modern data platform concepts 
• Experience with data modelling 

Integration and Development

• Experience integrating data from relational databases, APIs, and file-based systems 
• Experience working with structured and semi-structured data 
• Experience working with data formats such as Parquet, JSON, and CSV
• Experience monitoring and troubleshooting data pipelines in production environments 
• Experience working with version control systems such as Git 
• Experience deploying data pipelines using CI/CD processes 
• Experience working with Azure security concepts such as Key Vault, Managed Identity

Nice to Have

• Experience with Power BI or other reporting tools 

We are looking for a Databricks Data Engineer to design and implement scalable data processing solutions using Databricks and Apache Spark. You will work with large datasets, develop transformation logic, and optimize performance of data workflows.

This role involves daily hands-on development and active participation in delivery projects.

What You Will Do

• Design and develop data processing workflows using Databricks and Apache Spark 
• Implement data transformations using PySpark 
• Process and optimize large datasets in batch or streaming environments 
• Build and maintain data pipelines within the Databricks platform 
• Monitor, troubleshoot, and improve performance of Spark jobs 
• Collaborate with architects and engineers on data platform solutions 

Required Technical Skills

Databricks and Data Processing

• Hands-on experience with Databricks 
• Strong experience with Apache Spark and PySpark 
• Experience building and maintaining data processing pipelines 
• Experience working with large datasets and distributed data processing 
• Understanding of lakehouse or modern data platform architecture 

Programming and Tools

• Strong Python 
• Strong SQL 
• Experience implementing data transformations and performance optimization 
• Experience working with version control systems such as Git 
• Experience working with common data formats such as Parquet, JSON, and CSV

Azure Platform

• Azure Data Lake Storage (ADLS) 
• Azure Databricks 
• Azure Data Factory