Senior Platform Engineer

Lodgify

⭐ Who we are   Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.   Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals. ⭐️ Role Overview We're seeking an experienced backend engineer with a strong background in C# to join our rapidly growing .NET startup. As a member of our team, you’ll play a critical role in enabling teams across the organization to achieve operational efficiency and excellence. You’ll drive continuous improvements in shared tools, infrastructure, and practices that scale our development efforts.

Nuvolar

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 such as 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. ABOUT THE ROLE At Nuvolar, we are looking for a Senior QA Engineer to join one of our healthcare projects, working on digital health solutions that support complex workflows and critical software platforms. You will become part of a technical team responsible for ensuring the quality of a platform that manages sensitive healthcare information, integrations, and services within a complex digital health ecosystem.This role is a great opportunity for a QA Engineer who enjoys understanding complex products, defining quality strategies, designing meaningful test scenarios, and collaborating closely with developers and product teams to deliver reliable software. As the first QA Engineer joining this product team, you'll have the opportunity to shape how quality is built into the product from the early stages. Rather than joining an established QA function within the team, you'll define testing strategies, introduce best practices, and help embed quality throughout the development lifecycle while working closely with developers and product stakeholders. 🧠 WHAT YOU’LL DO * Define and execute the QA strategy for backend services, APIs, integrations, and critical product workflows. * Understand the product domain and translate business requirements into effective test scenarios. * Design, maintain, and execute test plans covering functional testing, regression testing, integration testing, exploratory testing, and edge cases. * Perform backend and API testing using tools such as Postman and OpenAPI/Swagger specifications. * Validate REST APIs, data consistency, error handling, authentication flows, and integration scenarios. * Work with relational databases such as PostgreSQL to validate data integrity and support testing activities. * Contribute to test automation initiatives by maintaining and improving automated test suites. * Analyse logs, traces, and system behaviour using monitoring and observability tools. * Collaborate closely with developers, Product Owners, and technical stakeholders to identify risks early and ensure release readiness. * Drive continuous improvement of QA practices and help establish quality standards within the team. ✅ WHAT WE’RE LOOKING FOR * Proven experience as a QA Engineer working on software products, backend services, REST APIs, or integration-heavy platforms. * Strong experience with API testing using Postman, Swagger/OpenAPI, or similar tools. * Experience creating, maintaining, or improving automated test suites. * Solid understanding of QA methodologies, test design techniques, regression testing, exploratory testing, integration testing, and defect management. * Experience working with relational databases and SQL to validate data integrity and application behaviour. * Knowledge of cloud environments, ideally AWS, with a practical understanding of services such as DynamoDB, SQS/SNS, and Secrets Manager. * Experience working with GitHub and CI/CD workflows, ideally GitHub Actions. * AI literacy, including familiarity with AI-assisted tools, AI agents, or the practical use of AI to improve testing, automation, and documentation. * Ability to understand complex technical environments, identify quality risks, and work collaboratively with developers and product teams. * Experience working in Agile/Scrum environments. * Professional level of English, both written and spoken. NICE TO HAVE * Experience working in healthcare, digital health, medical software, or other regulated environments. * Previous experience with patient data, identity management, or clinical workflows. * Knowledge of Spring Boot, Java, Maven, or Java backend ecosystems. * Experience with Playwright. * Experience replacing or modernising existing automation frameworks. * Experience with contract testing, distributed systems, or end-to-end integration testing. * Experience with Docker and containerised development or testing environments. 💜 WHY YOU’LL LOVE WORKING AT NUVOLAR * Flexible Work & Work-Life Balance: enjoy options to balance work and personal life, including every other Friday off. * Remote Work: this is a fully remote position, giving you the flexibility to work from anywhere in Spain while staying closely connected with your team. * Seniority Program: enjoy additional benefits and privileges as you grow with the company. * Social & Team Budget: even though we primarily work remotely, we encourage team gatherings and activities, with a dedicated budget. * Continuous Learning: access training, mentorship, and professional development opportunities. * Growth Opportunities: participate in challenging healthcare technology projects, work with modern technologies, shape the QA strategy of a growing product team, and contribute to the evolution of quality engineering practices. 👥 THE HIRING PROCESS 1. Project & Role Introduction A first conversation with one of our engineering team members to introduce the project, explain the role in detail, and answer your initial questions about the opportunity. 2. Technical Assessment You'll complete a take-home QA challenge designed to evaluate your technical approach, testing strategy, and problem-solving skills. 3. Technical Interview A discussion with our engineering team to review your assessment, explore your technical experience, and talk through real-world testing scenarios, technical decisions, and your way of working. 4. Cultural Fit Interview A conversation with our Talent Acquisition team to learn more about your background, career goals, and what you're looking for in your next opportunity. It's also a chance for you to ask any remaining questions about Nuvolar, our culture, and the role. 5. Client Interview (if required) Depending on the project, there may be a final conversation with the client to discuss the role, the team, and how you'll collaborate within the project environment. 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. If you want to be aware of all of our latest updates, follow us via LinkedIn | Instagram | Glassdoor | Medium 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.

Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. JOB LOCATION: SPAIN WHAT IS THE ROLE Every forecast, territory plan, and customer conversation at Elastic depends on the quality of our customer data. We're looking for a Senior AI Engineer to join the RevTech Engineering team inside Revenue Operations and shape the data foundation our Sales teams rely on. Our customer data lives across Salesforce, marketing automation, billing, product telemetry, and support systems. Each has its own definitions, gaps, and drift. This role turns that fragmented reality into a trusted, enriched, AI-ready dataset — and keeps it that way as Elastic scales. You'll partner with RevOps analysts, GTM systems teams, and the field organization to make sure the people closest to our customers are working from a customer view they can trust. The work is field-facing: success looks like better account scoring, cleaner segmentation, faster onboarding for new data sources, and AI-powered workflows that actually save sellers time. Because this data is customer data, you'll also be responsible for holding the line on how it's handled — PII governance, consent management, and responsible AI practices are part of the job, not a footnote. WHAT YOU WILL BE DOING * Build and maintain the golden customer dataset. Design the canonical dataset that unifies signals from across GTM systems into a single, governed source of truth — including the enrichment pipelines, deduplication, entity resolution, and validation systems that keep it accurate as sources land and drift. * Make data AI-ready. Work with the RevOps Data Science team to prepare structured and unstructured data for downstream AI workflows — account research, lead scoring, churn signals, CSM briefings — covering chunking, embedding strategy, metadata design, and source integration across GTM systems, product telemetry, and third-party enrichment providers. * Own quality and lineage. Implement monitoring, drift detection, and lineage tracking so anomalies surface before they reach a forecast, a dashboard, or a seller's inbox. * Set the standard. Define how RevTech prepares data for AI consumption and document the schemas, pipelines, and contracts downstream teams depend on. WHAT YOU BRING  We're looking for a senior data and AI practitioner with 3+ years of experience building production pipelines that feed ML or LLM-based systems — someone who knows how messy GTM data gets at scale and has the technical range to clean it, enrich it, and make it AI-ready. * GTM data fluency. You've worked with CRM data at scale — accounts, contacts, opportunities, leads — and understand the entity resolution and deduplication challenges that come with it. * AI-readiness experience. You've prepared data for RAG, embeddings, and AI agents, including chunking strategies, metadata enrichment, and embedding model selection. * LLM applied to data. You've used LLMs for extraction, classification, and normalization — and you know how to evaluate whether they're working. * Core tools. Python, senior-level SQL, and cloud infrastructure (AWS, Azure, or GCP) with orchestration experience (Airflow, Dagster, or equivalent). * Elastic Stack. Working knowledge of Elasticsearch, vector search, and ESRE — or genuine interest in building it. BONUS POINTS * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * Prior experience inside a RevOps, GTM Systems, or Marketing Operations engineering team. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.