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You will be updated with latest job alerts via emailAt RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are now launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this years Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.com a nextgeneration platform aimed at transforming financial decisionmaking.
RavenPack is seeking a skilled Full Stack Architect to lead the architecture of innovative solutions for the Internal Tools department. The ideal candidate will have extensive experience with modern technologies and a proven track record in designing serverless systems on AWS and decoupling monolithic applications into microservices.
Architect and implement scalable serverless systems on AWS.
Lead the decoupling of services from monolithic applications.
Collaborate with crossfunctional teams to define design and ship new features.
Ensure the performance quality and responsiveness of applications.
Maintain code quality organization and automation.
BS in Computer Science Engineering or a related field or equivalent work experience.
Front End Development: 2 years (preferably with JavaScript and React)
Back End Development: 5 years (preferably with Python and FastAPI)
Cloud Provider: 2 years (experience with AWS preferred)
CI/CD Frameworks: 2 years (experience with build pipelines and infrastructure as code CDK preferred)
Database Knowledge: Proficiency in PL/SQL and writing stored procedures
Experience with NoSQL databases or search engines (ElasticSearch preferred)
Proven experience as a technical lead.
Experience with eventbased systems and serverless technologies.
Strong communication skills in English both written and verbal
Expertise in AWS EC2 and ECS.
Handson experience with Docker containers.
Proven ability to diagram complex systems.
Proficiency in the Django Python framework.
You will be working with a team of Developers QA and Product Managers to maintain and improve the internal tools application portfolio. You will manage RavenPacks metadata including over 21 million entities and 300000 templates contributing to the companys core business. RavenPack has built marketleading products that rely on this internal data and our services extract value from about a million documents every single day.
Work with large datasets to make them usable for research professionals.
Design develop deploy maintain and improve webbased applications.
Continuously improve processes implement engineering best practices and develop automated solutions.
Collaborate with Engineers Managers Product Management QA and Operations teams to develop innovative solutions and meet client expectations.
Work in the center of Madrid a cosmopolitan city and the center of cultural activity in Spain.
Growth Opportunity: Join a team building AI that truly matters contributing to making GenAI useful for finance and business research in a rapidly growing company with 180 team members across offices in Marbella and New York.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning we will support your ongoing training.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.
Full Time