Backend & Data-Driven Engineer (Hybrid: Dallas/NYC)

Glocomms; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Glocomms is seeking a Software Engineer (Backend / Full Stack) to join a hybrid team in Dallas or New York. You will build backend services, design APIs, and contribute to data-driven applications powering the platform.

You will collaborate with product and platform teams, implement tests, participate in CI/CD, and help scale systems across cloud environments. The ideal candidate has 3–6 years of experience, strong Python, and hands-on work with microservices, Spark, and databases.

Qualifications

• 3–6 years of software engineering experience in backend or full-stack development.
• Strong proficiency in Python.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Apache Spark.
• Familiarity with REST APIs, microservices, and event-driven architectures.
• Experience with relational and/or NoSQL databases such as PostgreSQL, MongoDB, or DynamoDB.

Responsibilities

• Develop and maintain backend applications and microservices using Python.
• Design and implement APIs and services that process large-scale data streams.
• Collaborate with product, data, and platform engineering teams on new feature development.
• Build scalable, secure, and high-performing software solutions.
• Troubleshoot production issues and participate in ongoing platform improvements.
• Write unit, integration, and end-to-end tests to ensure code quality.
• Contribute to CI/CD pipelines and software deployment processes.
• Document technical decisions and support cross-functional stakeholders.

Skills

Python

Backend development

REST APIs

Microservices

System design

Tools

Docker

Kubernetes

Databricks

Apache Spark

AWS

Azure

GCP

Job description

Glocomms is seeking a Software Engineer (Backend / Full Stack) to join a hybrid team in Dallas or New York. You will build backend services, design APIs, and contribute to data-driven applications powering the platform.

You will collaborate with product and platform teams, implement tests, participate in CI/CD, and help scale systems across cloud environments. The ideal candidate has 3–6 years of experience, strong Python, and hands-on work with microservices, Spark, and databases.