Job Specifications
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—once reserved for ultra-high-net-worth individuals—and makes them 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. Think: intelligent investing, personalized portfolios, and real-time trading, all backed by robust data infrastructure.
The Role
We’re building the backend systems that power Arta’s trading platform, billing infrastructure, and real-time financial data pipelines. You’ll work closely with product managers, designers, ML researchers, and investment professionals — but your core focus will be designing and scaling the services, pipelines, and APIs behind these mission-critical systems.
This is a role for a backend engineer who thrives in high-stakes, data-intensive environments and enjoys solving complex distributed systems problems — from market data ingestion, to transaction workflows, to revenue and billing accuracy (where “close enough” is not a thing).
What You Will Do
Design and implement scalable, secure, high-performance backend services supporting our trading and analytics platform
Own and evolve our market data ingestion and processing pipelines, integrating data from exchanges, providers, and internal systems
Build and maintain RESTful APIs and/or gRPC services used by internal and external consumers
Contribute to architecture decisions involving microservices, event-driven systems, and real-time streaming
Ensure system reliability through strong practices in observability, fault tolerance, monitoring, and incident response Work closely with frontend, data science, and product teams to deliver seamless user experiences backed by robust backend infrastructure
Stay current on market data standards, trading protocols, and relevant regulatory considerations (MiFID II, FINRA, etc.)
Who You Are
4+ years of professional experience in backend software engineering, ideally in fintech, trading, or other high-reliability domains
Strong programming skills in Python
Proven experience working with data-intensive systems, both batch and real-time
Hands-on experience building and scaling data pipelines and streaming systems (Kafka, Spark, Airflow, or equivalents)
Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerized environments (Docker/Kubernetes)
Experience with PostgreSQL, Redis, time-series databases, or similar storage systems
Familiarity with market data feeds, order management systems, or electronic trading platforms is a plus
Comfortable operating in a fast-paced startup environment with high ownership and ambiguity
Bonus: Familiarity with quantitative finance, portfolio optimization, or risk modeling
Bonus: Exposure to ML-driven systems for trading or investment management
Bonus: Experience with GraphQL, gRPC, or WebSockets for low-latency interfaces
LOCATION: You are either based in the Bay area, or have plans to relocate to the Bay area
This role reports to the Engineering Manager based in the Bay area.
Interview Process
Introductory call with Head of Talent, 20-30m
Hiring Manager Interview, 30m
Technical Interview 1: Coding/Algorithm/Data Structure, 60m
Live assessment on CoderPad with leet code style questions.
This round should be conducted without the usage of AI tools.
Technical Interview 2: System Design with CTO, 60m
Technical Interview 3: Coding & Culture assessment, 60m
Culture 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 a