Senior Software Engineer – Remote, AI & Data Pipelines

United States Digital Space LLC; United States; Remote; USD 103,000 - 139,000; Full time

Job summary

United States Digital Space LLC is seeking a Sr Associate Software Engineer to design, develop, and deploy scalable enterprise software, data pipelines, and automation. You will collaborate with product managers, analysts, and engineers to translate requirements into reliable, secure solutions.

You will work across APIs, microservices, and cloud platforms, using Python, SQL, and modern DevOps practices to ensure quality, observability, and rapid delivery in a remote, US-based environment.

Qualifications

• Master’s degree or higher in Information Systems or related field.
• 3+ years of information systems experience in enterprise software or data solutions.
• Proficient in Python and SQL with cloud/data automation experience.
• Ability to deliver complex technical assignments independently within Agile teams.

Responsibilities

• Design, develop, deploy, and support enterprise software, data solutions, and automation.
• Own technical implementation of user stories across product teams.
• Translate requirements into designs, data flows, integration patterns, and tests.
• Develop and maintain APIs, microservices, and data pipelines.
• Build containerized apps with Docker/Kubernetes on AWS Rafay/ECR/EKS/ECS/Fargate.
• Contribute to CI/CD, observability, and production support.

Skills

Software architecture

Python

SQL

APIs

DevOps practices

Agile / Scrum

Data pipelines

Problem solving

Education

Master’s degree in Information Systems

Bachelor’s degree in Information Systems

Associate’s degree in Information Systems

High school diploma / GED

Tools

Databricks

AWS

Docker

Kubernetes

Rafay

ECR

EKS

ECS

Fargate

Git

GitLab

Python tooling (PowerShell, Bash, Power Automate, Power Apps, n8n)

Apache Spark / PySpark

Job description

United States Digital Space LLC is seeking a Sr Associate Software Engineer to design, develop, and deploy scalable enterprise software, data pipelines, and automation. You will collaborate with product managers, analysts, and engineers to translate requirements into reliable, secure solutions.

You will work across APIs, microservices, and cloud platforms, using Python, SQL, and modern DevOps practices to ensure quality, observability, and rapid delivery in a remote, US-based environment.