Job Brief:

We are seeking a Senior Frontend Developer to help build modern, scalable, and high-performing web applications. This role is ideal for someone with strong expertise in contemporary frontend frameworks, a solid understanding of UX principles, and experience contributing to technical architecture decisions.

Responsibilities:

• Develop and maintain modern frontend applications using React, Next.js, and JavaScript
• Build responsive, accessible, and performant user interfaces using modern web technologies
• Collaborate closely with product, design, and backend teams to deliver high-quality digital experiences
• Contribute to frontend architecture decisions and technical best practices
• Optimize application performance, maintainability, and user experience standards
• Support integration with cloud-based services, particularly within Azure environments
• Mentor less experienced developers and contribute to the team’s technical growth

Requirements & Skills:

• 8+ years of experience in Frontend Development roles
• Strong hands-on experience with JavaScript (ES6+), React, and Next.js
• Solid knowledge of HTML5, CSS3, responsive design, and UX/UI best practices
• Experience working with cloud platforms, ideally Azure
• Familiarity with modern development workflows, CI/CD pipelines, and engineering best practices
• Experience with automated frontend testing tools such as Jest or Cypress is a plus
• Understanding of web performance optimization and technical SEO is beneficial
• Strong communication and collaboration skills
• Fluent English communication skills

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Job Brief:

We are looking for a Senior Machine Learning Engineer to help build and scale production-grade ML systems in a cloud-native environment. This role is ideal for someone with strong experience in MLOps, pipeline orchestration, and deploying machine learning solutions at scale.

Responsibilities:

• Design and maintain scalable machine learning pipelines for production environments
• Build feature engineering workflows and support robust data processing pipelines
• Manage model lifecycle processes including deployment, monitoring, versioning, and retraining
• Improve performance, scalability, and efficiency across ML systems and workflows
• Implement MLOps best practices, including CI/CD automation for machine learning delivery
• Partner with Data Science and Engineering teams to productionze ML solutions
• Ensure system reliability, observability, and operational stability across deployed ML environments

Requirements & Skills:

• 5+ years of experience in Machine Learning Engineering roles
• Strong hands-on experience with Databricks and orchestration of ML workflows
• Solid background in feature engineering and scalable data pipeline development
• Practical experience with MLOps practices, automation, and CI/CD implementation
• Experience managing model lifecycle processes in production environments
• Strong Python programming skills
• Experience working within cloud environments, ideally AWS
• Ability to work both independently and within cross-functional teams
• Experience with large-scale distributed data processing is a plus
• Familiarity with additional cloud platforms such as Azure or GCP is beneficial
• Fluent English communication skills

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Job Brief:

We are looking for a Data Scientist to help turn complex data into actionable business insights through advanced analytics, modelling, and data-driven decision support. This role is suited to someone with strong technical foundations, experience working in cloud data environments, and the ability to translate findings into meaningful outcomes.

Responsibilities:

• Develop, validate, and deploy predictive and analytical models to support business objectives
• Analyze large and complex datasets to uncover trends, patterns, and actionable insights
• Collaborate with business and technical teams to identify opportunities for data-driven improvements
• Work closely with Data Engineering teams on data pipeline development and optimization
• Support automation and deployment of data science workflows through CI/CD practices
• Present findings clearly to both technical and non-technical stakeholders
• Maintain high standards of data quality, consistency, and integrity throughout the analytical lifecycle

Requirements & Skills:

• 5+ years of experience in Data Science-related roles
• Strong hands-on experience with Python, SQL, and R
• Experience developing and maintaining CI/CD workflows in data environments
• Exposure to at least one major cloud platform (AWS, Azure, or GCP)
• Good understanding of data modelling methodologies such as Kimball, Inmon, or Data Vault
• Experience with BI visualization tools, including Power BI, Tableau, or Spotfire
• Strong analytical thinking and problem-solving capabilities
• Experience working with distributed or large-scale data environments is a plus
• Nice to have experience with Snowflake or Databricks
• Fluent English communication skills

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Job Brief:

We are seeking a Senior Cloud Engineer to help design, scale, and maintain secure cloud infrastructure in a modern DevOps environment. This role is ideal for someone with strong AWS expertise, automation experience, and a solid background in cloud-native infrastructure and deployment practices.

Responsibilities:

• Design and maintain scalable cloud infrastructure within AWS environments
• Manage containerized workloads and orchestration using Kubernetes, including EKS
• Build and optimize CI/CD pipelines to support efficient software delivery
• Implement and maintain infrastructure-as-code frameworks using Terraform
• Monitor system health, performance, and reliability across production environments
• Troubleshoot infrastructure issues and support continuous operational improvements
• Work closely with engineering teams to streamline deployment and release processes

Requirements & Skills:

• 7+ years of experience in Cloud Engineering or infrastructure-focused roles
• Strong hands-on experience with AWS cloud services and architecture best practices
• Solid experience with Kubernetes, particularly within Amazon EKS environments
• Proven background building and managing CI/CD pipelines, ideally with GitHub Actions
• Practical experience with Terraform and infrastructure automation
• Strong understanding of security, scalability, and cloud reliability principles
• Familiarity with monitoring and observability tooling, ideally Datadog
• Nice to have exposure to Databricks
• Fluent English communication skills

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Job Brief:

We are looking for a Senior Data Engineer to help design and scale modern data infrastructure that supports analytics, reporting, and business decision-making. This role is suited to someone with strong hands-on experience in cloud data ecosystems, pipeline development, and performance optimization.

Responsibilities:

• Build, maintain, and optimize scalable data pipelines across modern cloud platforms
• Ensure data reliability, consistency, and accessibility across multiple systems
• Partner with analysts, data teams, and business stakeholders to deliver data-driven solutions
• Improve performance and cost efficiency of data processing environments
• Support automation and deployment of data workflows through CI/CD practices
• Contribute to data governance standards and engineering best practices
• Design scalable data models and architectures to support reporting and analytics needs

Requirements & Skills:

• 5+ years of experience in Data Engineering roles
• Strong hands-on experience with SQL, Python, and Databricks
• Solid background in ETL/ELT development and cloud-based data platforms (AWS/GCP)
• Experience with infrastructure automation tools such as Terraform
• Good understanding of data modelling approaches, including Kimball, Inmon, or Data Vault
• Experience with DBT and modern data warehousing tools such as Snowflake
• Familiarity with BI/reporting platforms like Power BI, Tableau, or Spotfire
• Exposure to predictive modelling concepts
• Understanding of CI/CD practices for data environments
• Fluent English communication skills

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Job Brief:

We are looking for a Senior Java Developer to join our engineering team and contribute to the development of scalable, high-performing backend platforms. This role is ideal for someone with strong experience in modern Java development, cloud environments, and distributed architectures.

Responsibilities:

• Diagnose and resolve complex technical challenges across backend systems
• Design, develop, and maintain scalable Java applications and microservices
• Collaborate with engineering and product teams to deliver new platform capabilities
• Drive application reliability, performance, and maintainable code standards
• Support infrastructure automation initiatives alongside DevOps teams
• Contribute to technical discussions, code reviews, and engineering best practices

Requirements & Skills:

• 7+ years of professional experience in Java backend development
• Strong hands-on experience with Spring Boot and microservices-based architectures
• Practical knowledge of Kubernetes and containerized deployment environments
• Experience with cloud platforms, ideally Azure
• Familiarity with infrastructure-as-code tools such as Terraform
• Exposure to event-driven systems using Kafka
• Understanding of GraphQL, including federated architectures
• Comfortable working with Git/GitHub version control workflows
• Familiarity with CI/CD pipelines and modern DevOps practices
• Strong communication skills in English

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Job Brief:

We’re hiring a B2B Mid-level Java Developer (US working hours) to join a product-focused engineering team working on a SaaS platform used by enterprise clients. This role sits directly within the client’s setup, where you’ll take ownership of backend development, data integrations, and platform reliability in a live environment.

Responsibilities:

• Own backend development tasks across the platform, from implementation to improvement of existing services.
• Connect the application with external business systems (such as ERP tools) to enable data flow and processing.
• Handle production incidents and ensure quick resolution of issues impacting users.
• Work closely with engineers, product stakeholders, and support teams in a distributed setup.
• Contribute to platform functionality by building features that process and surface customer data.
• Support operations during US time zones when needed, ensuring continuity of service.
• Take part in team syncs and collaborate across a wider engineering community.
• Continuously look for ways to improve system performance, reliability, and code quality.

Requirements & Skills:

• Around 2–4 years of experience working with Java in backend environments.
• Comfortable designing and building APIs using frameworks like Spring Boot.
• Good understanding of core programming concepts and software design patterns.
• Experience querying and working with relational databases.
• Able to work autonomously and stay effective in later working hours.
• Clear communicator, comfortable working with remote and international teams.
• Strong command of English, both written and spoken.

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Job Brief:

We are looking for an AI Engineer (German-speaking) to support prompt engineering and AI workflow optimization within a remote product delivery team.

Responsibilities:

• Design, test, and refine prompts for Large Language Model (LLM) use cases, including German-language scenarios.

• Improve response quality by analyzing outputs, reducing ambiguity, and mitigating hallucination risks.

• Develop structured prompting strategies to enhance consistency and usability of AI-generated results.

• Support the implementation of AI-assisted workflows integrated into broader digital products.

• Define evaluation approaches to measure prompt effectiveness and iterate based on findings.

• Collaborate with cross-functional teams to align AI capabilities with real business and product needs.

Requirements & Skills:

• Hands-on experience working with LLM technologies in real-world environments.

• Solid understanding of prompting techniques such as zero-shot, few-shot, role-based prompting, and structured outputs.

• Ability to manage context limitations and optimize model behavior through prompt iteration.

• Familiarity with APIs, JSON structures, and core model parameters (e.g., temperature, token limits).

• Comfortable working professionally in German (minimum B2 level) and communicating clearly in distributed teams.

• Strong analytical mindset with attention to detail and critical thinking capabilities.

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Job Brief:

We are seeking a Senior Full-Stack Engineer (Python + React) to support the delivery of a scalable digital platform within a fully remote product engineering team.

Responsibilities:

• Develop and enhance full-stack features using Python-based back-end frameworks and modern React front-end solutions.

• Contribute to transforming an early-stage product into a robust, scalable platform supporting large-scale user adoption.

• Implement secure, multi-tenant system capabilities and improve automation across business workflows.

• Collaborate with cross-functional stakeholders to streamline user experience and operational efficiency.

• Participate in continuous delivery cycles, including testing, code reviews, and production releases.

• Support system performance improvements and contribute to long-term platform evolution.

Requirements & Skills:

• 5+ years of commercial full-stack development experience using Python and React.

• Hands-on expertise with back-end frameworks such as Django and FastAPI.

• Experience working on scalable product platforms in production environments.

• Practical use of AI-assisted or agentic development tools to improve engineering productivity.

• Ability to work effectively in autonomous, distributed teams.

• Solid understanding of modern development practices including CI/CD pipelines and collaborative workflows.

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Job Brief:

We are looking for a Senior Frontend Developer to contribute to the delivery of complex web applications within a remote (Europe), product-oriented engineering team.

Responsibilities:

• Develop and enhance modern frontend applications using React and TypeScript.

• Work on large-scale production systems, ensuring performance, scalability, and maintainability.

• Collaborate with design and product stakeholders to implement user-focused features.

• Contribute to component libraries and design system initiatives.

• Implement end-to-end testing strategies to improve application reliability.

• Participate in continuous delivery environments with frequent releases and iterative improvements.

Requirements & Skills:

• Strong commercial experience building complex frontend solutions with React and TypeScript.

• Hands-on experience integrating with GraphQL APIs in production environments.

• Solid knowledge of component architecture, state management patterns, and performance optimization.

• Experience working within existing large codebases and contributing to long-term product evolution.

• Practical exposure to AI-assisted development tools to enhance delivery speed and code quality.

• Fluent English communication skills and ability to collaborate effectively in distributed teams.

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