[Remote] Staff Backend Engineer: Financial Data

Note: The job is a remote job and is open to candidates in USA. Rogo is building Wall Street's first true AI banker, aiming to empower finance professionals with innovative AI solutions. The Staff Backend Engineer will be responsible for developing scalable systems that manage financial data, ensuring data integrity and performance while collaborating closely with the Core AI team.ResponsibilitiesOwn critical data infrastructure: Take complex requirements and turn them into robust, scalable solutions that ingest, transform, and serve financial datasets reliably — end to end, from conception to productionArchitect for scale and performance: Design and build highly scalable, cost-effective data processing pipelines that handle millions of documents and datapoints daily with very low latency and maximum throughputDrive data integration: Build systems that connect heterogeneous financial datasets — market data vendors, proprietary sources, third-party providers — into coherent, reliable, queryable platforms that power Rogo's AI layerEnable AI with great data: Work closely with the Core AI team to ensure financial data is structured, clean, and served in ways that maximize the performance and reliability of Rogo's models and retrieval systems. Critically, the data pipelines, transformations, and interfaces you build are themselves powered by the same AI techniques and innovation used across the rest of the platform — you are not just feeding the machine, you are part of itHandle customer data with care: Build secure, compliant integrations that treat enterprise customer data with the highest standards of trust, privacy, and reliability — from ingestion through to servingRaise the bar: Lead by example — write the kind of code, make the kind of decisions, and bring the kind of energy that naturally elevates everyone around youBe a cultural anchor: Foster a culture of learning, craft, and ownership not through direction, but through how you show up every daySkillsBachelor's in Computer Science or related field8+ years of professional software engineering experience, with a proven track record building complex, data-intensive backend systems5+ years of hands-on experience with GCP or equivalent cloud stack, building and scaling production-grade servicesDeep expertise in Python for backend and API systems; proficiency in at least one strongly typed language (Rust, C++, or Java), with Java being a strong plusMastery in designing large-scale distributed systems — asynchronous patterns, streaming, queuing, caching strategies, and robust observability (logging, metrics, tracing)Strong command of relational databases and SQL — schema design, query optimization, indexing — alongside NoSQL, in-memory (Redis), and columnar stores (BigQuery, Snowflake, Redshift)Proven experience building and operating large-scale data pipelines — both streaming and batch — integrating heterogeneous financial data sources with high reliability and throughput3+ years of experience managing or working closely with globally distributed engineering teamsExceptional communication skills — able to articulate complex technical concepts to both technical and non-technical stakeholders, and to influence engineering direction across teams without direct authorityTrack record of shipping high-quality products in unstructured, fast-moving environments with full autonomy from conception to deploymentDemonstrated passion for corporate finance, capital markets, and financial data — you understand the standards, workflows, and zero-tolerance for data quality issues that investment professionals demandCompany OverviewRogo.ai is an AI platform for finance that automates research, analysis, and financial workflows for investment banks and investors. It was founded in 2022, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://rogo.ai.Company H1B SponsorshipRogo has a track record of offering H1B sponsorships, with 1 in 2025, 2 in 2024. Please note that this does not guarantee sponsorship for this specific role.