Senior Platform Engineer

• 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
• 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)

Benefits

• We have a robust health insurance offering for you and your family
• High deductible health plan available with health savings account contribution
• Complimentary One Medical membership for individuals and dependents
• 20 weeks of parental leave
• 15 days PTO annually plus national and company holidays
• Remote-work friendly- Solid programming skills (Python or similar)
• Financial systems (trading, ledger, payments)
• 5+ years backend or systems engineer with experience in distributed systems
• Data infrastructure
• Experience in at least one:
• Experience with modern infra (Kafka, Kubernetes, cloud, etc.)
• Scalable backend platforms
• Strong understanding of system design, consistency, and reliability
• 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)- Introduction with Head of Talent, 20-30m
• Coding/Algorithm/Data Structures, 60m - VIRTUAL
• Coding/Algorithm/Data Structures, 60m - ONSITE
• Domain Knowledge & System Design, 60m - ONSITE
• Co-founder Interview, 30m