Backend Software Engineer, Trading & Data Platform
Arta Finance
- United States
- United States
À propos
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. Think: intelligent investing, personalized portfolios, and real-time trading, all backed by robust data infrastructure.
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).
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 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.)
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 ~ 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 ~ You are either based in the Bay area, or have plans to relocate to the Bay area
Technical Interview 1: Coding/Algorithm/Data Structure, 60m This round should be conducted without the usage of AI tools. Technical Interview 3: Coding & Culture assessment, 60m For remotely located candidates, we may request you to visit the Mountain View HQ to meet the team. 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. 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.
Robust health insurance offering for you and your family ~ High deductible health plan available with health savings account contribution ~We determine your salary based on factors including your interview performance, job-related skills, experience, and relevant education or training. 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.
Compétences linguistiques
- English
Avis aux utilisateurs
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