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 RoleWe’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 DoDesign 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)
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.
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)
Intro call with Recruiting Team, 30m - Virtual
2 Coding/Algorithm/Data Structures, 60m each - 1 In-person, 2nd may be virtual
Domain Knowledge & System Design, 60m - In-person
Leadership Interview, 30m - In-person or Virtual
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
Generous parental leave
Competitive PTO benefits
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.
$110,000-$205,000
