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 are partnering with an innovative biotechnology company specializing in the development of enzyme-based solutions for industrial applications across pharma and cosmetics sectors.

We are seeking a Business Developer with strong experience in service-based commercial models (CDMO environment) to drive strategic partnerships and expand the company’s client base in Europe and beyond.

This is a highly commercial, mid-to-senior level role focused on building long-term collaborations with industrial partners. The position involves engaging in discussions around development projects, contract negotiation, and intellectual property structures, rather than traditional product sales.

The ideal candidate combines strong commercial acumen with a solid understanding of biotech or related industries, and is comfortable navigating long sales cycles and high-value strategic deals.

Responsibilities:

• Identify, develop, and manage strategic partnerships with industrial clients in pharma, cosmetics, and related biotech-driven sectors
• Drive business development activities focused on service-based and CDMO-style collaboration models
• Lead complex commercial discussions including project scoping, technical feasibility alignment, and economic value proposition
• Negotiate collaboration agreements, licensing structures, and intellectual property (IP) terms
• Build and maintain long-term relationships with key decision-makers across R&D, innovation, and business units
• Translate technical capabilities into clear commercial opportunities and tailored client solutions
• Collaborate closely with scientific and technical teams to align client needs with internal capabilities
• Contribute to market strategy, identifying new applications and industry opportunities for enzyme-based technologies
• Monitor industry trends and competitive landscape to support strategic positioning

Requirements & Skills:

• Proven experience in business development or sales in a CDMO, biotech, pharma, or industrial biotech environment
• Strong understanding of service-based business models and technology commercialization
• Experience negotiating complex commercial agreements, partnerships, or licensing/IP deals
• Solid commercial mindset with the ability to assess economic value, ROI, and competitive advantage of technical solutions
• Ability to engage confidently with technical and business stakeholders at senior level
• Strong communication and negotiation skills, with a consultative approach to sales
• Background in biotechnology, chemistry, life sciences, or related fields is highly valued
• Fluent level of English is mandatory. Knowledge of additional European languages will be considered an advantage.

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Job Brief:

We’re hiring a Senior Data Scientist (B2B) to join a Trust & Safety / Moderation team within a large-scale marketplace platform. Reporting to the Data Science Manager, you’ll work on building and improving models to detect fraud and policy violations across areas such as ad creation and user interactions.

This is a long-term B2B role (18+ months), with strong potential for integration. The position sits in a cross-functional setup with direct exposure to production systems in a fast-evolving environment.

Responsibilities:

• Develop and improve machine learning models for fraud detection and content moderation.
• Work with highly imbalanced datasets and define the right evaluation metrics.
• Analyze evolving fraud patterns and identify new risks across the platform.
• Contribute to the productionization of models, working closely with engineering teams.
• Monitor and optimize model performance in real-world environments.
• Build analytical frameworks and automation to improve detection over time.
• Collaborate with product, engineering, and data teams in a distributed setup.

Requirements & Skills:

• Senior-level experience as a Data Scientist.
• Strong background in fraud detection, moderation, or Trust & Safety domains.
• Experience handling highly imbalanced datasets and defining performance metrics.
• Hands-on experience with ML techniques, ideally in NLP and/or Computer Vision.
• Strong analytical mindset with the ability to adapt to a dynamic fraud landscape.
• Experience working with production-level ML systems.
• Comfortable working cross-functionally in international teams.
• Fluent 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 experienced KDB+/Q Developer to design, develop, and maintain ultra-high-performance data systems. In this role, you will be responsible for architecting solutions capable of processing large volumes of real-time (tick data) and historical data, ensuring minimal latency for mission-critical applications such as trading platforms, IoT systems, or telemetry environments.

This is a remote opportunity. Fluency in both English and Portuguese is required.

Responsibilities:

• Develop efficient and concise code using the q language, handling in-memory and on-disk tables (splayed and partitioned).
• Design and optimize data feed architectures, including Ticker Plants, Chained Tickers, and Real-Time Databases (RDB).
• Maintain and optimize Historical Databases (HDB), ensuring millisecond-level query performance across terabytes of data.
• Identify and resolve performance bottlenecks related to I/O and CPU usage, applying vectorized processing techniques and avoiding inefficient loops.
• Build and maintain integrations between kdb+ and other languages such as Python (PyQ/EmbedPy), Java, and C++.
• Ensure system reliability and performance in real-time production environments

Requirements & Skills:

• 5+ years of hands-on experience with kdb+, including strong knowledge of its architecture and the q programming language.
• Proven vector thinking mindset, with the ability to solve complex problems using native functions (e.g., adverbs, over, scan) instead of procedural logic.
• Strong experience with Linux/Unix systems, including shell scripting, memory management, and file systems.
• Deep understanding of low-latency architectures, including how kdb+ interacts with hardware (RAM vs SSD) to optimize performance.
• Fluency in English and Portuguese.

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