We're building Al thought partners to make people smarter and more creative, accelerating the creation and sharing of knowledge in financial services. We're unabashedly ambitious, and we're dead set on building the biggest Financial AI company in the world. Our team is lean, smart, and enormously ambitious. We're growing fast out of our beautiful office in NYC.
Exceptional traction: strong PMF with the world's largest investment banks, hedge funds, and private equity firms.
World-class team: we take talent density seriously. We like working with incredibly smart, driven people.
Velocity: we work fast, which means you learn a lot and constantly take on new challenges.
Frontier technology: we're developing cutting-edge AI systems, pushing the boundaries of published research, redefining what's possible, and inventing the future.
Cutting Edge Product: Our platform is state-of-the-art and crazily powerful. We're creating tools that make people smarter, reinventing how you discover, create, and share knowledge.
About the role
As an engineer on the Data Platform team, you will help build out our real-time data pipelines for millions of unstructured financial documents to feed our financial LLM. It’s cutting-edge data engineering at the AI frontier. At Rogo, having a thorough and accurate understanding of data is at the core of the work we do.
Responsibilities
Designing and building large-scale infrastructure to power crawling, ranking, and retrieval systems.
Ship secure and compliant code and implement security concepts to develop software dealing with sensitive data. Work with the security teams choosing what to build vs buy.
Raise the bar for code quality, reliability and product velocity. Collaboratively, you'll push yourself and peers to develop technically and interpersonally
Serve as a mentor for engineers across the team, fostering growth and ensuring best practices.
Investigate and resolve complex technical challenges, ensuring high availability and reliability of data pipelines and systems.
Evaluate and implement new technologies, frameworks, and approaches to improve efficiency and outcomes.
Hard Requirements:
8+ years of experience as a software engineer, with a focus on data platforms or infrastructure.
Expertise in Python and SQL, with a deep understanding of multi-threading, multi-processing, asyncio, and concurrency primitives.
Mastery of distributed systems and proficiency in tools such as PostgreSQL, Snowflake, or Elasticsearch.
Proven experience deploying and managing mission-critical ETL pipelines with diverse and large-scale data sources.
Extensive experience with orchestration frameworks such as Apache Airflow or Dagster (2+ years).
Proficiency in AWS or other cloud environments, with practical knowledge of their services.
Demonstrated ability to design and monitor secure and scalable systems, especially in production-grade environments.
Familiarity with LLMs and their potential applications
Bonus Requirements:
Expertise in a strongly typed language, such as Rust, and experience integrating it within data workflows.
Experience in stream processing frameworks and architectures.
Background in financial services or other data-intensive industries.
Prior experience in hyper-growth startup environments.
Hands-on experience with Datadog or other telemetry and monitoring tools.
You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a start-up
You are ambitious. You have fun solving problems that others think are impossible.
You are curious. You find joy in learning about AI, technology, and finance
You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
You are collaborative, organized, and thoughtful.
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