About the job
The Company
Arta Finance is on a bold and fulfilling mission to empower individuals worldwide to achieve financial success. By harnessing advanced AI and cutting-edge digital tools, which were once exclusive to ultra-high-net-worth individuals, Arta makes these resources accessible to a diverse global audience. Imagine having your own digital family office, merging intelligent investment strategies, alternative asset opportunities, private market access, and smart automation to effortlessly grow and safeguard your wealth. Our core values revolve around trust, teamwork, and adaptability.
The Role
As a Senior Cloud Infrastructure Engineer, you will be responsible for designing, developing, and maintaining a resilient infrastructure that spans the entire technology stack—from user-serving servers to data pipelines, storage systems, trading platforms, and research infrastructure. Your critical contributions will support both real-time and batch workflows, ensuring scalability, performance, and high reliability for our mission-critical systems.
This is an individual contributor position, where your expertise will guide various initiatives in collaboration with cross-functional teams.
What You Will Do
Design, develop, and maintain scalable infrastructure for real-time and batch workflows, emphasizing high-throughput and low-latency data processing for autonomous trading, quantitative research, and reliable user-serving servers.
Work closely with frontend, research, and trading teams to ensure that the infrastructure and data pipelines meet performance, precision, and usability requirements.
Integrate third-party platforms and data providers, ensuring secure and reliable API/data stream ingestion while tackling complex external data integration challenges.
Proactively identify and resolve bottlenecks and inefficiencies in distributed systems, optimizing performance and resource utilization.
Take ownership of deployment pipelines and production operations to guarantee high availability, fault tolerance, and observability of critical services.
Architect and implement scalable systems that support high-throughput, low-latency data processing essential for autonomous trading and quantitative research. Ensure data quality, consistency, and traceability through thorough testing, validation, and monitoring pipelines.
Uphold security best practices and collaborate with internal stakeholders to meet compliance and auditing standards.

