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About
The Team The Engineering team at Arta is building the backbone of our mission—powering everything from ingesting data and making it accessible to our UI, research, and trading services, to managing users’ money and integrating with external fintech platforms.
At Arta, everything revolves around data: from training and deploying ML models, to managing wealth, to delivering intuitive, high-performance user interfaces. We build for scale, speed, and transparency—and we’re looking for someone who thrives at the intersection of performance engineering and fintech innovation.
This means not just ingesting and storing data efficiently, but also making it reliably available to a wide range of services, each with its own performance and access requirements. In this role, you’ll be responsible for building a core internal service that unifies diverse data sources—market data, economic indicators, and more—into a consistent, accessible model across our systems.
The Role You’ll work with a team of product managers, designers, ML researchers, and investment professionals to ideate, prioritize, define, prototype, develop, test, and iterate on the software that will fundamentally change our users’ relationships with their money. We're looking for engineers who are versatile and enthusiastic about taking on new problems as our fast-paced business rapidly evolves.
What you will do
Designing and coding full stack, backend, or frontend features
Collaborate in the whole life cycle of the software development – from collecting requirements and iterating on design to implementation and testing
Design and implement scalable, secure, and high-performance backend systems to power our trading platform and data analytics infrastructure
Own and evolve our data ingestion and processing pipelines from financial data providers, exchanges, and internal systems Collaborate with frontend, data science, and product teams to deliver seamless user experiences backed by real-time and historical data
Build RESTful APIs and/or gRPC services for use by internal and external consumers Ensure system reliability, observability, and fault tolerance across distributed components
Contribute to architectural decisions, especially those involving microservices, event-driven systems, and data streaming
Partner closely with product managers, user experience designers, and other cross-functional teams
Stay current on market data standards, trading protocols, and regulatory considerations (MiFID II, FINRA, etc.)
Who you are
4+ years
of backend software engineering experience in high-stakes environments
Strong experience in
Python, Go, or Java
(we’re flexible, but bonus points for
Python )
Proven track record working with
data-intensive systems
(batch + real-time), especially in the fintech, trading, or market data space
Experience building and scaling
data pipelines
(e.g., using
Kafka, Spark, Airflow , or equivalent tools) Familiarity with
market data feeds, order management systems , or
electronic trading platforms
Strong grasp of
distributed systems ,
cloud infrastructure (GCP/AWS) , and containerized environments ( Docker/Kubernetes )
Knowledge of
PostgreSQL, Redis, time-series databases , or similar
Comfortable working in a fast-paced, ambiguous startup environment—roll-up-your-sleeves energy is a must
Bonus: Familiarity with quantitative finance, portfolio optimization, or risk modeling
Bonus: Exposure to ML-driven systems for trading or investment management
BonusExperience with GraphQL, gRPC, or WebSockets for low-latency interfaces
You are based in the Bay area, or you have plans to relocate to the Bay area
This role reports to an Engineering Manager based in the Bay area.
Interview Process
Introductory call with Head of Talent, 20-30m
Technical Interview 1:
Coding/Algorithm/Data Structure , 60m
We will use CoderPad with leet code style questions.
This interview will be conducted without the usage of AI tools.
Technical Interview 2:
System Design
with Hiring Manager, 60m
Technical Interview 3:
Coding & Culture assessment
with Engineering Manager based in Singapore, 60m
Cross-functional Interview
with a Product Manager, 30m
CEO Interview
with Caesar Sengupta based in Singapore, 30m
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. This process is conducted solely to maintain interview integrity and does not involve any data collection or system access beyond what is shared voluntarily 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
15 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
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Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.