Senior Backend Engineer

About usAt RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond.

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With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.

Building on this expertise, we are 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 AIRavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology.

RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents. European legal working status is required. Were looking forWe are seeking an experienced and innovative Senior Software Engineer to join our dynamic team.

This role offers a unique opportunity to contribute to the development of cutting-edge AI agentic workflows and pioneering data-driven solutions.

You will be at the forefront of designing, building, and deploying scalable, high-performance systems that enable our organization to unlock the full potential of data innovation. As a Senior Software Engineer, you will work closely with multidisciplinary teams, including Data Scientists, Product Managers, and other Engineers, to deliver technically sophisticated and strategically aligned solutions.

This position is ideal for someone who thrives in a fast-paced, collaborative environment, where their expertise will play a key role in tackling complex challenges, driving innovation, and shaping the future of data-driven solutions in our organization.

ResponsibilitiesSystem Design & Development: Architect, develop, and maintain scalable, high-performance systems that serve as the backbone for data-driven solutions and robust backend applications.

Data Pipeline Engineering: Design and implement high-throughput ETL/ELT pipelines for structured and semi-structured data, ensuring seamless ingestion, processing, and data integrity.

Workflow Orchestration: Lead the automation of complex data and application lifecycles using orchestration tools like Apache Airflow or AWS Step Functions. API & Backend Services: Build and maintain high-concurrency REST and MCP (Model Context Protocol) APIs, bridging the gap between data layers and front-facing applications.

Infrastructure & Deployment: Design and deploy the necessary AWS infrastructure to support end-to-end applications, leveraging a mix of Serverless (Lambda) and Containerized (Docker/ECS) technologies. Code Excellence: Champion clean, efficient, and maintainable codebases by enforcing industry best practices, including comprehensive testing, version control, and performance tuning.

Production Observability: Implement and manage a full-stack observability suite (e.g., Datadog) to ensure high availability, proactive monitoring, and rapid incident response.

RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related technical field (Ph.D.

preferred but not required).5+ years of experience in software engineering. Proficiency in PythonAPI Development: Proven experience in the design and development of REST APIsDatabase Versatility: Familiarity with a wide range of database technologies, including Relational (Postgres, Oracle), NoSQL (DynamoDB), Time-series, and Cloud Data Warehouses (Snowflake).ETL/ELT Development: Proven experience building and scaling production data pipelines.

You should be highly proficient with core AWS data services, such as S3, Lambda...Hands-on experience with cloud platforms, such as AWS.Experience with scripting languages like Bash for automation and scripting tasks.

Experience with containerization technologies, such as Docker.

Experience with Git.

Strong communication skills with the ability to collaborate across cross-functional teams and convey complex ideas clearly in English, both verbally and in writing.

DesirableExperience developing Model Context Protocol (MCP) APIs.

Familiarity with warehousing technologies such as Snowflake.

Serverless Architectures: Hands-on experience developing and scaling Serverless APIs (e.g., AWS Lambda with API Gateway).

What's in it for You?

Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and