Job Brief:

We are looking to hire a Senior Automation tester with proven experience in Cypress for a multinational professional services company with multiple offices in Lisbon, Porto, Coimbra, Castelo Branco, and Covilhã.

Responsibilities:

• Participate in the continuous evolution of the Test Automation Excellence strategy, designing, developing, and maintaining robust and scalable automated test suites (with a strong focus on Cypress).
• Act as a hands-on automation expert, defining high-quality test scripts while mentoring and supporting other QA engineers in maximizing the impact of automated testing practices.
• Drive the continuous optimization of test automation processes, proactively adapting frameworks and approaches to new technical challenges and evolving business needs.
• Ensure the proper setup, maintenance, and evolution of test environments and supporting infrastructure, guaranteeing reliability and repeatability of test execution.
• Identify, analyze, and thoroughly document defects, performance issues, and functional inconsistencies, working closely with product and engineering teams to ensure timely resolution.
• Promote a strong quality-first culture, embedding risk management, best practices, and continuous improvement principles within the team.
• Evaluate, recommend, and implement modern QA tools, frameworks, and methodologies that strengthen automation capabilities and overall quality standards.
• Collaborate effectively in multilingual environments, leveraging fluency in English and Portuguese to ensure clear communication and alignment across stakeholders.

Requirements & Skills:

• Fluency in English and Portuguese (written and spoken) is mandatory, with the ability to communicate effectively with both technical and non-technical stakeholders.
• A minimum of 4 years of hands-on experience working specifically with Cypress as a test automation framework is required.
• At least 7 years in total of experience designing, developing, and maintaining advanced automated test suites in complex, enterprise-scale environments.
• Proven ability to rapidly understand complex technical architectures and business domains, translating requirements into robust and effective test strategies..
• Highly collaborative mindset, combined with a strong sense of ownership, accountability, and proactivity in day-to-day work.
• Demonstrated ability to manage multiple priorities and projects simultaneously, maintaining high standards of quality under pressure.

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Job Brief:

We are seeking a Data Engineer (Azure and Databricks) to design, build, and maintain the data infrastructure and pipelines that support the data-driven decision-making. In this role, you will collaborate with cross-functional teams to ensure data availability, reliability, and accessibility, enabling the organization to extract insights and deliver impactful solutions. This is a full-time remote position, in Portugal

Responsibilities:

• Design and build data models to support Data Science, Business Intelligence, and downstream datasets.
• Develop APIs and data products that integrate data across systems and processes.
• Monitor data pipelines and proactively communicate issues to leadership and stakeholders.
• Collaborate with business partners and developers to document and validate requirements for new initiatives.
• Coordinate cross-functional and cross-team efforts in partnership with developers and leadership.
• Deliver high-quality data engineering solutions aligned with business needs and technical best practices.
• Build and maintain ADF pipelines, Data Flows, Azure Functions, and Logic Apps.
• Work with Azure SQL Database, including stored procedures and views.
• Explore and document Power BI reports and datasets.

Requirements & Skills:

• Proven experience as a Data Engineer or Data Quality Engineer in fast-paced environments.
• Expert proficiency in SQL and SQL-like query languages.
• Strong experience with Python and structuring Python-based projects.
• Experience with Azure Data Factory and Databricks.
• Solid background in ETL and ELT development.
• Strong knowledge of data modeling methodologies (Kimball, Inmon, Data Vault).
• Hands-on experience with Azure SQL Database, stored procedures, and views.
• Experience with Azure Functions and Logic Apps.
• Experience building automated unit and integration testing frameworks for data projects.
• Previous experience in Business Intelligence or as a Business Analyst.
• Familiarity with Infrastructure as Code tools (Terraform or CloudFormation).
• Experience with Tableau, Power BI, or Spotfire.
• CI/CD automation experience (GitLab preferred).
• Experience with batch and streaming data pipelines.
• Experience ingesting third-party data using APIs.
• Familiarity with integrating data platforms into observability tools.
• Expertise in predictive modelling.
• Strong communication and collaboration skills across technical and non-technical audiences.

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Job Brief:

We are seeking a DevOps Project Manager to lead and coordinate infrastructure, DevOps, and cloud-related projects from end to end. In this role, you will work closely with cross-functional teams including DevOps, Infrastructure, Cloud, Security, and Application teams to ensure successful delivery of projects that meet technical, security, and compliance standards. This is a hands-on project management role in a technical environment, combining deep understanding of cloud platforms, DevOps practices, and agile project delivery. You will be the primary point of contact for stakeholders, translating complex technical initiatives into clear business outcomes.

This role is based in the company’s offices in Barcelona or Zaragoza, and is offered as a 6-month fixed-term contract, with the possibility of renewal. The position follows a hybrid working model (3 days per week onsite and 2 days remote) and is open to candidates willing to relocate. 

Responsibilities:

• Lead end-to-end delivery of infrastructure, DevOps, and cloud projects.
• Manage project scope, schedules, budgets, risks, and dependencies.
• Coordinate cross-functional teams, including Infrastructure, DevOps, Cloud, Security, and Application teams.
• Serve as the primary contact for stakeholders, ensuring clear communication and alignment.
• Facilitate project planning, sprint planning, stand-ups, retrospectives, and status reviews.
• Track and report on project progress, milestones, and KPIs.
• Ensure projects adhere to architectural standards, security requirements, and compliance guidelines.
• Identify and mitigate risks related to cloud migrations, infrastructure upgrades, and platform reliability.
• Drive continuous improvement in project delivery processes, tools, and methodologies.

Requirements & Skills:

• Bachelor’s Degree in Information Technology, Computer Science, Engineering, or related field.
• Strong, real-world experience with public cloud (AWS, GCP, or Azure).
• Proven experience managing Infrastructure, DevOps, or Cloud projects.
• Strong understanding of cloud platforms such as AWS and/or OpenStack.
• Familiarity with CI/CD pipelines, automation, Infrastructure as Code (Terraform, CloudFormation), and containerized environments.
• Experience working with Agile, Scrum, or hybrid project methodologies.
• Proficiency with project management tools (e.g., Jira, Confluence, GitLab, Monday).
• Fluent English (spoken and written)
• Hands-on experience with AWS services (EC2, VPC, RDS, EKS, IAM) or OpenStack equivalents (Nice to have).
• Experience managing cloud migrations or large-scale infrastructure transformations (Nice to have).
• Knowledge of OpenStack architecture and operations (Nice to have).
• Certifications such as PMP, PMI-ACP, AWS Certified Cloud Practitioner / Solutions Architect, Scrum Master (Nice to have).
• Experience working in regulated or high-availability environments (Nice to have).
• Background in SRE or operational excellence initiatives (Nice to have).

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Job Brief:

We are looking for a Full-Stack Engineer to join a Series B multinational, with offices in Spain, on a fixed-term contract with the possibility of renewal.  

Responsibilities:

• Design, build, and operate backend services using Python or Go, ensuring reliability and scalability.
• Define, version, and optimize RESTful or gRPC APIs with a strong focus on performance and maintainability.
• Containerize services using Docker and support deployments using Kubernetes-based orchestration.
• Design and maintain relational database schemas (PostgreSQL/MySQL), optimizing queries and data models.
• Integrate and automate workflows across multiple systems, including data platforms, CI/CD pipelines, and ML tooling.
• Maintain clean Git workflows, implement automated tests, and manage continuous integration and deployment pipelines.
• Deploy, monitor, and manage backend services in cloud environments, primarily on AWS.
• Collaborate with product and R&D teams to transform experimental or prototype code into stable, production-ready APIs or microservices.

Requirements & Skills:

• Several years of hands-on experience (roughly 2–5) building and operating backend services using Python or Go.
• Proven ability to design, version, and optimize service interfaces using REST or gRPC.
• Practical experience containerizing applications with Docker, along with foundational exposure to Kubernetes for service orchestration.
• Strong working knowledge of relational databases such as PostgreSQL or MySQL, including schema design and query optimization.
• Experience connecting and automating workflows across multiple systems, including data platforms, CI/CD pipelines, or ML tooling.
• Comfortable working with Git-based workflows, automated testing, and continuous integration/deployment setups (e.g., GitHub Actions or GitLab CI).
• Hands-on experience deploying and managing services in cloud environments, particularly AWS.
• Product-focused approach, capable of evolving experimental or research code into reliable, production-grade APIs or microservices.

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Job Brief:

We are looking for a Full-Stack Engineer to join a Series B multinational, with offices in Spain, on a fixed-term contract with the possibility of renewal.  

Responsibilities:

• Design, build, and maintain full-stack applications across front-end and back-end components.
• Develop responsive, user-friendly interfaces using React or Next.js with TypeScript.
• Implement and maintain back-end services in Python using frameworks such as FastAPI or Django.
• Design clean, scalable APIs and data models, ensuring seamless integration between front-end and back-end systems.
• Build and evolve data-intensive dashboards, internal tools, and experiment-tracking interfaces.
• Manage and optimize SQL databases, containerized environments (Docker), and CI/CD pipelines.
• Deploy, monitor, and maintain applications in cloud environments, primarily on AWS.
• Collaborate closely with researchers and product managers to translate exploratory workflows into robust, production-ready tools with real user impact.

Requirements & Skills:

• Hands-on experience (approximately 2–5 years) developing full-stack applications.
• Strong command of modern front-end technologies, including React or Next.js with TypeScript.
• Back-end development experience using Python frameworks such as FastAPI or Django.
• Proven ability to design and integrate APIs, with a solid grasp of data modeling and system architecture.
• Experience delivering data-heavy interfaces, internal tools, or experiment-driven dashboards.
• Familiarity with SQL databases, Docker-based workflows, and automated CI/CD processes.
• Exposure to cloud infrastructure and deployment, particularly within AWS environments.
• Product-oriented mindset, comfortable partnering with researchers and product managers to turn exploratory ideas into reliable, production-ready solutions.

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Job Brief:

We are looking for a Senior DevOps Engineer to join a very small, high-impact DevOps team working closely with Product and Engineering (web developers, SREs, data scientists) and directly with the CTO. This is a hands-on role with real ownership. You will design, build, operate, and evolve production systems end-to-end. The environment is fast-paced, startup-driven, and intentionally lean. This role is for engineers who thrive in ambiguity, move fast, and are comfortable being the final technical and decision-making line.

Responsibilities:

• Design, build, and operate cloud infrastructure in production environments with full lifecycle ownership.
• Run and scale Kubernetes clusters in real-world, high-availability scenarios.
• Implement and maintain Infrastructure as Code using Terraform and Helm.
• Operate GitOps workflows as a core operating model, not as a best-effort practice.
• Own observability across logs, metrics, and tracing, including alerting strategy and reliability improvements.
• Take full ownership of incidents: diagnosis, recovery, root cause analysis, and long-term system redesign.
• Participate in a weekly on-call rotation as the final escalation point.
• Work hands-on with engineering teams, directly supporting application needs (not coordination-only).
• Read and understand application code (Go, Python, shell) to debug, optimize, and improve systems.
• Continuously improve system reliability, scalability, and developer experience.
• Make and own technical trade-offs in an environment with incomplete information and changing priorities.

Requirements & Skills:

• 5+ years of hands-on DevOps / Infrastructure experience in fast-paced startup or scale-up environments.
• Strong, real-world experience with public cloud (AWS, GCP, or Azure).
• Proven production experience operating Kubernetes.
• Deep understanding and daily use of Infrastructure as Code (Terraform).
• Practical experience using GitOps and Helm as operational mechanisms.
• Strong ownership of observability: monitoring, logging, tracing, and alerting.
• Experience running live systems under real load and improving reliability over time.
• Comfortable being on-call as an owner, not just an escalation handler.
• Ability to read and reason about application code (Go, Python, shell).
• Excellent communication skills and perfectly fluent English.
• Goal-oriented, accountable, and execution-focused.
• Humble mindset: open to feedback, willing to learn, and focused on outcomes.
• Strong user-centric mindset — pride in building reliable systems that enable great user experiences.
• Ability to work within ±4 CET time zones.

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Job Brief:

We are hiring an AI Security & Governance Architect to design and own the security, privacy, and compliance layer for enterprise AI and LLM usage across our platform. You will work closely with software engineers, LLM engineers, and platform teams to translate regulatory, security, and privacy requirements into scalable and enforceable technical controls, without introducing application-level friction or performance latency.

This role is based in the company’s offices in Barcelona and is offered as a 6-month fixed-term contract, with the possibility of renewal. The position follows a hybrid working model (3 days per week onsite and 2 days remote) and is open to candidates willing to relocate. 

Responsibilities:

• Design and implement backend, infrastructure-level governance controls for AI and LLM usage.
• Define and enforce policies for data visibility, classification, retention, redaction, and access across AI workflows.
• Lead threat modeling for AI systems, addressing risks such as prompt leakage, data exfiltration, shadow AI usage, and model misuse.
• Map platform capabilities to compliance frameworks including SOC 2, GDPR, ISO 27001, and HIPAA where applicable.
• Define audit-grade evidence requirements and design immutable logging and monitoring strategies.
• Partner with auditors, legal, and security teams to ensure controls meet enterprise and regulatory expectations.
• Establish data minimization and purpose-limitation principles for AI interactions.
• Define secure handling of PII, sensitive data, and regulated data within AI pipelines.
• Advise on anonymization, pseudonymization, encryption, and data retention strategies.
• Collaborate with LLM and platform engineers to embed governance and policy enforcement controls without requiring application refactors.
• Support product and sales teams with security documentation, customer trust materials, and technical explanations for enterprise customers.

Requirements & Skills:

• C 2+ years of experience in security architecture, privacy engineering, compliance engineering, or governance-related roles.
• Hands-on experience designing security controls for cloud-native systems (AWS, GCP, or Azure).
• Strong understanding of data protection and compliance frameworks such as GDPR and SOC 2; HIPAA is a plus.
• Familiarity with AI, ML, or LLM systems, including data flows, prompts, embeddings, and inference pipelines.
• Ability to translate regulatory and compliance requirements into concrete technical designs.
• Experience supporting audits, including evidence collection and control validation.
• Strong threat modeling and risk assessment skills.
• Comfortable working closely with engineering teams on deeply technical systems.
• Experience with AI governance, ML platforms, or data infrastructure is preferred.
• Background in privacy engineering or DPO functions is a plus.
• Experience designing immutable audit trails, compliance observability systems, and responding to enterprise security questionnaires or vendor risk assessments is a plus.

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Job Brief:

We are looking for a DevOps Engineer (Junior/Mid-level) to join a growing technical team and help bridge the gap between development and operations. You will work on cutting-edge technologies focused on optimizing and deploying AI models on constrained devices, collaborating with multidisciplinary teams in a highly innovative, international, and fast-paced environment. This is a great opportunity to grow your DevOps skill set in a collaborative, fast-paced environment.

This role is based in the company’s offices in Barcelona and is offered as a 6-month fixed-term contract, with the possibility of renewal. The position follows a hybrid working model (3 days per week onsite and 2 days remote) and is open to candidates willing to relocate. 

Responsibilities:

• Support the design, implementation, and maintenance of CI/CD pipelines
• Assist in managing and monitoring cloud infrastructure and services
• Collaborate with development teams to improve deployment processes and system reliability
• Help automate infrastructure provisioning and configuration (Infrastructure as Code)
• Monitor system performance, availability, and security, and help troubleshoot issues
• Participate in incident response and root cause analysis
• Contribute to documentation of systems, processes, and best practices
• Continuously learn and apply DevOps tools, methodologies, and industry standards

Requirements & Skills:

• Bachelor’s degree in Computer Engineering, Computer Science, or related field; or significant work experience as a Software Engineer.
• 2-5 years of experience working as a DevOps engineer.
• Experience or strong knowledge of DevOps principles and practices 
• Familiarity with CI/CD tools (e.g. GitHub Actions, GitLab CI, Jenkins, or similar)
• Basic experience with containerization and orchestration tools (e.g. Docker, Kubernetes)
• Experience in designing or supporting secure, scalable, and high-availability solutions in the AWS Cloud, using automation to support deployment, scaling, monitoring, and management (Terraform / CloudFormation / SDK, etc.).
• Knowledge of one or more programming language (e.g. Bash, Python, Go, or similar)

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Job Brief:

We are looking for a Lead Data Scientist to join a tech professional services company part of an international group, to work from the Lisbon office 2x a week.

Responsibilities:

• Design, develop, and deploy machine learning and AI solutions
• Build and fine-tune Generative AI models, including LLM-based systems
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Work with vector databases to support semantic search and AI workflows
• Apply NLP techniques to solve real-world business problems
• Collaborate with cross-functional teams in an agile environment
• Contribute to production-ready AI systems following MLOps best practices

Requirements & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
• 3+ years of practical experience in Machine Learning and AI development
• Strong hands-on experience with Generative AI and Large Language Models (open-source and commercial)
• Solid knowledge of RAG architectures and vector databases
• Advanced Python skills with frameworks such as TensorFlow, PyTorch, and Hugging Face
• Strong understanding of NLP concepts, models, and architectures
• Experience with classical ML techniques (e.g., decision trees, SVMs, clustering, neural networks)
• Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments
• Knowledge of MLOps tools and practices
• Strong analytical thinking and problem-solving skills
• Clear communication skills and ability to work effectively in a team
• Fluency in English (C1 level or above)

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Job Brief:

We are looking for a Lead Data Scientist to join a tech professional services company part of an international group, to work from the Lisbon office 2x a week. 

Responsibilities:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related field
• 5+ years of professional experience as a Data Scientist
• Proven experience leading and managing Data Science teams
• Demonstrated experience developing Generative AI solutions, including the use of transformers, embeddings, and prompt engineering
• Strong command of traditional Machine Learning techniques, including supervised and unsupervised learning
• High proficiency in Python and common libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn
• Experience with PySpark and handling large-scale Datasets
• Practical knowledge of MLOps practices, including model versioning, experiment tracking (e.g., MLflow), deployment, and monitoring

Requirements & Skills:

• Contribute to the design and development of Generative AI solutions, including transformer-based models, embeddings, and LLM-driven pipelines
• Build, train, and optimize traditional Machine Learning models for multiple use cases (classification, regression, clustering, etc.)
• Explore, clean, and transform data, applying solid feature engineering practices to improve model performance
• Support the automation, reproducibility, and scalability of data science pipelines using MLOps tools, ensuring continuous monitoring and maintenance in production
• Communicate analytical insights clearly, with a strong focus on business impact and practical application
• Stay up to date with the latest trends, tools, and best practices in AI, Machine Learning, and cloud technologies
• Lead and mentor a growing team, acting as both a technical and behavioral reference
• Participate in pre-sales activities and contribute to the preparation of technical proposals

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