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 Team
The Infrastructure 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
8+ 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/Go)
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
Based in the Bay area, or you have plans to relocate
Familiarity with quantitative finance, portfolio optimization, or risk modeling is a plus
Exposure to ML-driven systems for trading or investment management is a plus
Experience with GraphQL, gRPC, or WebSockets for low-latency interfaces is a plus
This role reports to Chirag Yagnik, Head of Research & CIO / co-founder.
Interview Process
Screen call with Head of Talent, 20-30m
Technical Interview 1: Coding/Algorithm/Data Structure, 60m
Technical Interview 2: System Design, 60m
Technical Interview 3: Domain Knowledge (TBD) & Culture, 60m
Culture Interview with CEO, Caesar Sengupta
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 fin