Backend Software Engineer, Trading Systems & Data Platform

Arta Finance; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Health insurance

Parental leave 20 weeks

PTO 17 days

Job summary

Arta Finance is building the core systems that power its wealth platform. The role focuses on high-reliability financial systems where correctness and latency matter. You’ll design and implement trading, ledger, and billing components, plus data pipelines and APIs for internal and external use.

Collaboration with ML teams may occur, but system reliability remains primary. You’ll work on real-time and batch data flows, interface with modern infrastructure, and help scale the financial and data

Qualifications

• Backend or systems engineer with distributed systems experience.
• Experience in financial systems or data infrastructure.
• Strong design, reliability, and latency focus.
• Proficient in Python or similar.
• Familiar with infra like Kafka, Kubernetes, cloud.

Responsibilities

• Design and build core financial systems (trading, ledger, billing).
• Develop systems for transaction processing, reconciliation, and portfolio state management.
• Build 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, microservices, streaming).
• Collaborate with ML teams to integrate models into production systems (not core).

Skills

Distributed systems

Backend engineering

System design

Python

Kafka

Kubernetes

Cloud platforms

Tools

Kafka

Kubernetes

Cloud

Job description

The Company

Arta is on an audacious and incredibly rewarding mission: to pave the way for people everywhere to lead more successful financial lives. Arta leverages AI and sophisticated digital tools to make financial products once reserved for ultra-high-net-worth individuals accessible to a broader global audience. Think of it as your own digital family office, combining intelligent investment strategies, alternative assets, private market access, and smart automation to help you grow and protect your wealth effortlessly. 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.

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)

Who You Are

• Strong 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.)

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)

Interview Process

• 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

Note: We require at least one in-person interview before making our offer decision. For remotely located candidates, we may request you to visit the Mountain View HQ to meet the team. Depending on your location, you will meet our team member based in NY/New Jersey.

Interview Integrity Notice

To ensure a fair and accurate assessment, candidates are expected to complete all interview exercises independently, without the use of external assistance or AI tools. Arta may, with your consent, request that you share your full screen during technical portions of the interview to verify your work environment. Interviewers may also, with your consent, ask you to temporarily disable virtual backgrounds or filters to confirm your identity and maintain interview integrity. These steps are voluntary, used only for real-time verification, and do not involve recording, storing, or accessing any information beyond what you choose to display during the session.

What We Offer

• A competitive salary and benefits package, with ample opportunities for growth and advancement


• A vibrant and dynamic work environment where innovation, collaboration, and continuous learning are highly valued


• The opportunity to work with a diverse and talented team of industry experts, passionate about shaping the future of finance


• Robust health insurance offering for you and your family


• High deductible health plan available with health savings account contribution


• 20 weeks of parental leave


• 17 days PTO annually

Arta's Compensation Philosophy

We determine your salary based on factors including your interview performance, job-related skills, experience, and relevant education or training. Our offers are based on salary bands that are updated periodically using market benchmarks and consider geographic location as well (for example, higher cost regions like San Francisco or New York). If you are presented with an offer, we will review the base salary, benefits, number of options, notional option value and strike price. We would like to know if you accept our offer within 7 days.

Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.

IC I: $110,000-$180,000

IC II: $160,000-$230,000

IC III: $180,000-$300,000