We are a global technology consulting company specializing in IT solutions, cloud-based platforms, mobile and web applications, and training and support services. With over 14 years of experience and a multicultural team of more than 100 professionals, we deliver projects for highly complex industries, including pharmaceuticals, diagnostics, healthcare, and consumer goods.

At our company, we value international talent, diversity, flexibility, and a collaborative environment that fosters both professional growth and personal well-being.

What You'll Do

This role is part of an ongoing, strategic project in the pharmaceutical diagnostics sector. The project is centered on storing medical data using AWS platforms. One platform is dedicated to storing blood sugar levels for diabetic patients, while the other stores diverse data from various diagnostic tests, such as blood tests and biopsies. By joining this team, you will have a great impact on society, contributing directly to improving people's health.

Your main responsibilities will include:

• Collaborate with data platform engineers, product owners, sub-chapter leads, and stakeholders to gather information and translate complex technical topics into user-friendly language tailored to different audiences (e.g., engineers, program leaders, managers).
• Review and organize existing Data Platform documentation to improve clarity, usability, and accessibility, maintaining a structured repository in tools like Confluence.
• Create version-controlled templates to standardize documentation and ensure it meets organizational quality standards.
• Define and maintain workflows for requirement collection, prioritization, and approval, ensuring traceability from customer requirements to software specifications and test cases.
• Document release management processes, including versioning, deployment pipelines, rollback strategies, and post-release monitoring procedures.
• Develop post-production support documentation, such as Service Runbooks, Incident Response SLAs, FAQs, and On-Call checklists for Engineers.
• Align technical documentation efforts with the company's modular Quality Management System (MQMS) to support regulatory compliance, maintaining traceability in systems like Enzyme, DiaDoc, or Aspire.
Leverage AI to automate the generation of technical and mQMS documentation

✅ What We're Looking For

• Proven experience as a Technical Writer in a data engineering, software engineering, or similar technical domain.
• Ability to quickly grasp complex technical concepts and effectively communicate them through written materials
• Strong organizational, analytical, and problem-solving skills.
• Expertise in documenting technical processes related to requirements management, release workflows, and post-production support.
• Familiarity with Quality Management Systems (QMS) and the documentation efforts they require.
• Proficiency in version control systems (e.g., Git) and documentation tools (e.g., Confluence, SharePoint, Markdown editors).
• Nice to have: Knowledge of data engineering concepts, platforms, and tools (e.g., ETL processes, cloud platforms, and APIs) and Experience using AI to autogenerate documentation using Git, JFrog, Jira, Confluence, Slack, or XRAY.
• Communication: Excellent oral and written English; ability to communicate with technical and non-technical stakeholders.

Why You'll Love Working at Nuvolar

• People-First Culture – We care about our team, support each other, and celebrate successes together.
  
• Location & Work Model: 100% remote, with sporadic requests (not mandatory) to attend in-person meetings in Sant Cugat or other client locations.
  
• Continuous Learning – Access to training programs, mentorship, career development opportunities, and an annual professional development budget.
  
• Health and Wellness Perks – Private health insurance and gym subsidy.
  
• Great Company Culture – Team events, knowledge-sharing sessions, and fun activities throughout the year.

The Hiring Process

We like to keep things simple and transparent:

In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process. Some people hold back because they feel they lack experience or have an "imperfect" CV. If you like the role and believe you could excel over time, don't self-reject. All applications go through our careers page, which is the only way to be considered. If you pass our screening, you'll be asked to complete one or more tests.

Join a team where trust, growth, and purpose go hand in hand. Apply now and let's build meaningful tech — together, from anywhere.

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Equal Opportunity Statement
Nuvolar Works is an equal-opportunity employer. We welcome and encourage applications from all backgrounds. We do not discriminate based on age, sex, gender, gender identity or expression, sexual orientation, family or marital status, disability, national origin, race, ethnicity, religion, or any other protected characteristic. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process. If you require any adjustments during the hiring process, please let us know.