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# Senior Platform Engineer

- **Company:** Arta Finance
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Accounting Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Cloud Computing, Data Infrastructure, Linux, Distributed Systems, Fault Tolerance, Python (Programming Language), Data Streaming, Transaction Processing (Computing), Reliability of Systems, Backend, Event Driven Architecture, Build Management, Kubernetes, Low Latency, Apache Kafka, Data Management, Machine Learning Operations, Stream Processing, Data Pipelines, Microservices
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-platform-engineer-mountain-view-ca--aa5c5183-1b9c-42ea-ad5e-36fa14f77268

## About the Role

Artificial Intelligence (AI), Team Player, High Net Worth, Automation, Investment Strategy, Linux Media Players, Billing, Data Management, Financial Systems, High Reliability, * 5+ years backend or systems engineer with experience in distributed systems

 * Experience in at least one:
 + 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 infra (Kafka, Kubernetes, cloud, etc.)
 * Location: We work 3 days/week in our Mountain View office.

Strong Plus

 * Experience with financial primitives (ledger, order management, reconciliation)
 * Experience in low-latency or high-throughput systems
 * Exposure to data platforms or streaming systems
 * Some familiarity with ML systems (nice-to-have, not required)

## Description

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.

If you enjoy building systems where correctness is non-negotiable and failure has real consequences, this role will suit you well.

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, not core focus)