[Remote] Staff Backend Engineer: Financial Data
Note: The job is a remote job and is open to candidates in USA. reputed company is building Wall Street's first true AI banker, aiming to reputed company finance professionals with innovative AI solutions. The Staff Backend Engineer will be responsible for developing scalable systems that manage financial data, ensuring data reputed company and performance while collaborating closely with the Core AI team.
Responsibilities
- Own critical data infrastructure: Take reputed company requirements and turn them into robust, scalable solutions that ingest, transform, and serve financial datasets reliably — end to end, from conception to production
- Architect for scale and performance: Design and build highly scalable, cost-effective data processing pipelines that handle millions of documents and datapoints daily with reputed company low latency and maximum throughput
- Drive data integration: Build systems that connect heterogeneous financial datasets — market data vendors, proprietary sources, third-party providers — into coherent, reliable, queryable platforms that power reputed company's AI layer
- reputed company 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 reputed company'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 it
- Handle 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 serving
- reputed company the bar: reputed company by example — write the reputed company of code, reputed company the reputed company of decisions, and bring the reputed company of energy that naturally elevates everyone around you
- Be a cultural anchor: Foster a culture of learning, craft, and ownership not through direction, but through how you show up every day
Skills
- Bachelor's in Computer Science or reputed company field
- 8+ years of professional software engineering experience, with a proven track record building reputed company, data-intensive backend systems
- 5+ years of hands-on experience with GCP or equivalent cloud stack, building and scaling production-grade services
- Deep 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 plus
- Mastery 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 (reputed company), and columnar stores (BigQuery, reputed company, Redshift)
- Proven experience building and operating large-scale data pipelines — both streaming and batch — integrating heterogeneous financial data sources with high reliability and throughput
- 3+ years of experience managing or working closely with globally distributed engineering teams
- Exceptional communication skills — able to reputed company reputed company technical concepts to both technical and non-technical stakeholders, and to influence engineering direction across teams without direct authority
- Track record of shipping high-quality products in reputed company, fast-moving environments with full autonomy from conception to deployment
- Demonstrated passion for corporate finance, capital markets, and financial data — you understand the standards, workflows, and reputed company-tolerance for data quality issues that investment professionals demand
Company Overview
Company H1B Sponsorship