Backend Software Engineer, Trading Systems & Data Platform
💰 $110,000 – $180,000/yr
At a glance
- Who can apply
- Worldwide
- Work arrangement
- Remote · Worldwide
- Employment type
- Full-time
- Salary
- $110,000 – $180,000/yr · published by the employer
- ✓ Open to early-career candidates
Checked against the employer's source on October 15, 2026. Details come from the employer's posting; confirm them on the application page.
Job Description
About Arta Finance
Arta is on a mission to make financial products once reserved for ultra-high-net-worth individuals accessible to a broader global audience. The company leverages AI and sophisticated digital tools to provide intelligent investment strategies, alternative assets, private market access, and smart automation. We value trust, teamwork, and adaptability.
The Role
We're building the core systems that power Arta's wealth platform—including trading infrastructure, ledgering, billing, and real-time data pipelines. This role focuses on high-reliability financial systems, where correctness, consistency, and latency are critical.
You'll work on systems such as:
- Trading and order workflows
- Ledger and portfolio accounting systems
- Market data and analytics pipelines
You may also interface with AI-powered systems, but your primary focus is building the financial and data backbone that everything else depends on.
What You Will Do
- Design and build core financial systems (trading, ledger, billing)
- Develop systems for transaction processing, reconciliation, and portfolio state management
- Build and scale real-time and batch data pipelines
- Architect APIs and backend services for internal and external use
- Ensure system reliability, observability, and fault tolerance
- Contribute to distributed systems design (event-driven systems, microservices, streaming)
- Partner with ML teams to integrate models into production systems as needed
Who You Are
- Strong backend or systems engineer with experience in distributed systems
- Experience in at least one of the following:
- Financial systems (trading, ledger, payments)
- Data infrastructure
- Scalable backend platforms
- Strong understanding of system design, consistency, and reliability
- Solid programming skills (Python or similar)
- Experience with modern infrastructure (Kafka, Kubernetes, or equivalent)
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