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
In this role, you will design and build the backend systems and infrastructure that power Arta's mission-critical financial services. You'll own services end-to-end, from API design to data models to production reliability, while working extensively with AI coding agents and LLM-based tooling to ship faster and operate at higher leverage than a traditional backend team.
You'll collaborate with product managers, frontend engineers, and ML engineers to deliver resilient backend services that handle real money, real data, and real users.
What You Will Do
Design, develop, and maintain backend services, APIs, and data pipelines that power Arta's investment and wealth management platform
Make architectural decisions on system design, data modeling, service boundaries, and infrastructure
Write clean, well-tested, observable code, and use AI coding agents (Claude Code, Cursor, etc.) as a core part of your daily workflow to accelerate delivery without sacrificing quality
Build and integrate LLM and agent-powered backend capabilities where they unlock product value (e.g., automated workflows, intelligent data processing, agent-driven user experiences)
Optimize for performance, scalability, and reliability across distributed services
Integrate with third-party financial APIs, brokerage systems, market data providers, and cloud infrastructure
Set up logging, monitoring, and alerting (Sentry, Datadog, etc.) and participate in on-call and incident response
Drive engineering best practices around code review, testing, and evaluation, including evals for any AI/agent-driven systems you ship
Partner with product and design to translate ambiguous problems into well-scoped backend solutions
Design and build reliable agent orchestration workflows using Temporal, leveraging state machines and workflow orchestration patterns to manage complex, long-running backend processes.
Who You Are
At least 6 years of backend software development experience, with strong proficiency in Python (or similar)
Deep understanding of distributed systems, RESTful and/or gRPC APIs, microservices, and database systems (SQL and NoSQL)
Experience designing for reliability, performance, and security in production environments
Fluency with AI coding tools and a track record of using them to materially raise your output and code quality
Experience building with LLMs and/or agent frameworks (tool use, function calling, MCP, evals) or strong interest and aptitude to ramp up quickly
Strong problem-solving skills and ability to work independently in a fast-paced environment
Excellent communication and collaboration skills
Prior experience in trading platforms, brokerage systems, or financial infrastructure is a big plus, but not a must
Interview Process
Intro call with Recruiting Team, 30m
Technical Interview 1: Coding (in Python)/Algorithm/Data Structure, 60m
Leet code questions using CoderPad
This round is conducted virtually on Google Meet
Technical Interview 2: System Design, 60m
Technical Interview 3: AI-augmented Interview, 60m
Details will be briefed by the Recruiting Team
Culture Interview with the Chief of Staff, 30m
What We Offer
Robust health insurance offering for you and your family
20 weeks of parental leave
15 days PTO annually plus national and company holidays
Up to SG$75 per month reimbursement for internet