Backend (Product) Engineer at Delphia

San Francisco, California, United States

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$175,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Deep expertise in Python development with modern async patterns, performance optimization, and scalable service architecture
Proven ability to design complex distributed systems with strong understanding of networking (TCP/IP, TLS, HTTP) and cloud-native patterns
Expertise in PostgreSQL, query optimization, efficient schema design
Hands-on experience architecting AWS solutions (ECS, Lambda, S3)
Product engineering mindset: ability to balance technical excellence with user impact, turning complex requirements into elegant, maintainable systems
Builds systems with comprehensive monitoring, logging, and self-healing capabilities that support rapid debugging and iteration
Bonus: Infrastructure as code (CloudFormation/Terraform), message queuing systems, security expertise (IAM, encryption), containerization, and reactive programming experience

Responsibilities

Own Core Infrastructure: architect and build scalable Python/FastAPI services, PostgreSQL data systems, and AWS cloud infrastructure that powers our insights and flow engines
Design Distributed Systems: create resilient, high-performance architectures using modern async patterns, caching strategies, and cloud-native solutions
Drive Product Impact: collaborate across teams to translate user needs into robust backend systems that enable breakthrough conversational experiences and insights extraction

Skills

Key technologies and capabilities for this role

PythonFastAPIPostgreSQLAWS

Questions & Answers

Common questions about this position

What is the salary range for the Backend (Product) Engineer position?

The salary range is $175K - $250K.

Is this position remote or onsite?

The position is onsite.

What key skills are required for this role?

Required skills include deep expertise in Python with modern async patterns, systems architecture for distributed systems with networking knowledge, PostgreSQL database expertise, and AWS infrastructure experience.

What is the company culture like at Delphi?

Delphi fosters a high-impact environment with a team of founders from successful exits and builders from top companies like Apple and Spotify, backed by elite investors, focused on bold innovation in human wisdom and interactive digital minds.

What makes a strong candidate for this Backend Engineer role?

Strong candidates demonstrate a product engineering mindset, balancing technical excellence in Python, distributed systems, PostgreSQL, and AWS with the ability to drive user impact through scalable, reliable backend systems.

Delphia

AI-driven insights for professional investors

About Delphia

Delphia operates in the financial technology sector, focusing on using artificial intelligence and alternative consumer data to provide insights for professional investors. The company collects and analyzes large amounts of data to create predictive models and investment strategies that help institutional clients, such as hedge funds and asset managers, make informed decisions in the capital markets. Delphia differentiates itself from competitors by emphasizing the ethical and transparent use of personal data, ensuring compliance with legal standards. The company's goal is to generate value for its clients through data-driven insights, earning revenue from subscription fees and performance-based models.

Toronto, CanadaHeadquarters

2018Year Founded

$77.3MTotal Funding

SERIES_ACompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

11-50Employees

Risks

Rapid AI evolution may outpace Delphia's current technological capabilities.

Intensifying regulatory scrutiny could impact Delphia's operations and increase compliance costs.

Volatility in digital asset markets poses financial risks to Delphia's strategies.

Differentiation

Delphia uniquely rewards investors for sharing data to enhance investment returns.

The company integrates traditional and decentralized finance through its digital asset ecosystem.

Delphia's ethical data use aligns with increasing demand for sustainable investment insights.

Upsides

Delphia's AI-driven models excel in the growing personalized finance solutions market.

The rise of DeFi platforms enhances Delphia's digital asset ecosystem potential.

Increasing alternative data sources boost Delphia's predictive model capabilities.

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