Backend Engineer, Data Pipelines & APIs

Stronghold Investment Management; Dallas (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Flexible Spending Account (FSA)

Health Savings Account (HSA)

401k With Match

Long Term Disability

Short Term Disability

Life Insurance

Accidental Death And Dismemberment In-

Job summary

Stronghold Investment Management in Dallas seeks a backend software engineer to design and maintain APIs, backend services, and data workflows powering firm-wide investment operations. You will architect scalable data-intensive applications and automated processing pipelines to support algorithmic decision-making, working with Python, Java, Go, and SQL databases.

Experience with event-driven systems, cloud platforms, and containerization is required, with exposure to AWS, Azure, or GCP.

Qualifications

• 3-6 years of backend experience with fluency in Python, Java, or Go.
• Deep knowledge of SQL databases.
• Experience with event-driven architectures, cloud platforms, and containerization.

Responsibilities

• Design and maintain the APIs, backend services, and data workflows powering firm-wide investment operations.
• Architect scalable data-intensive applications and automated processing pipelines to support algorithmic decision-making.

Skills

Python

Java

Go

PostgreSQL

MySQL

Kafka

RabbitMQ

AWS

Azure

GCP

Docker

Kubernetes

API Design

Distributed Systems

Backend Development

Data Pipeline Construction

Tools

PostgreSQL

MySQL

Kafka

RabbitMQ

AWS

Azure

GCP

Docker

Kubernetes

Job description

Stronghold Investment Management in Dallas seeks a backend software engineer to design and maintain APIs, backend services, and data workflows powering firm-wide investment operations. You will architect scalable data-intensive applications and automated processing pipelines to support algorithmic decision-making, working with Python, Java, Go, and SQL databases.

Experience with event-driven systems, cloud platforms, and containerization is required, with exposure to AWS, Azure, or GCP.