AI-Driven Investment Tech Software Engineer

Eleven Recruiting; El Segundo (CA); On-site; USD 124,000 - 172,000; Full time

Job summary

Eleven Recruiting client seeks a Software Engineer, Investment Technology in El Segundo, CA to drive full-stack development and architecture in a fast-paced financial setting.

You will collaborate with traders and portfolio managers, apply Agile practices, and use AI tooling to accelerate delivery of cloud-based microservices. A strong background in Python and finance is required, with emphasis on scalable systems and maintainable code.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Finance or related field.
• 7+ years of hands-on full-stack development with Python.
• Experience with Git, CI/CD tools (GitHub, Docker, Jenkins).
• Strong system design and architectural trade-off communication.
• Experience in finance/investment industry and trading workflows.
• Familiarity with AI tools and agentic workflows.
• Proven track record delivering cloud-based microservices.

Responsibilities

• Lead full lifecycle development from analysis to deployment using Agile processes.
• Contribute to design discussions and code reviews to improve quality.
• Collaborate with portfolio managers, traders, and non-technical stakeholders.
• Leverage AI-assisted development to boost productivity and innovation.
• Build and deploy scalable microservices in a high-throughput environment.

Skills

Python

Full-stack Dev

Cloud microservices

Distributed systems

AI tooling

Finance domain knowledge

Agile methodologies

Code quality

Stakeholder collaboration

Education

CS/Engineering/Finance degree

Tools

GitHub

Docker

Jenkins

Job description

Eleven Recruiting client seeks a Software Engineer, Investment Technology in El Segundo, CA to drive full-stack development and architecture in a fast-paced financial setting.

You will collaborate with traders and portfolio managers, apply Agile practices, and use AI tooling to accelerate delivery of cloud-based microservices. A strong background in Python and finance is required, with emphasis on scalable systems and maintainable code.