Top Hybrid Software Engineer Jobs

As a Database Reliability Engineer, you will enhance back-end data storage systems, build engineer tools, and ensure reliability and scalability of data platforms.

The role involves designing and maintaining databases, managing database performance, supporting database access, and developing procedures for maintenance and backup.

Lead Software Engineer responsible for maintaining platform APIs, designing microservices for high-velocity API calls, and coordinating data delivery via web portal to customers.

The role involves developing architectural strategies for NBCUniversal's digital advertising ecosystem, enhancing workflows, and leading cross-functional teams to implement ad features.

Lead development of new features for user targeting, enhance performance, guide architectural decisions, and address significant engineering challenges.

Lead design and implementation of scalable backend architectures and clean APIs, optimize databases and queries for large datasets, introduce abstractions to improve performance and reliability, define testing and CI/CD strategies, mentor engineers, and align engineering priorities with product goals.

Join TransUnion as an Entry-Level Software Engineer to develop, test, and maintain C# applications with guidance from senior developers. Assist in debugging, implement features, participate in code reviews, and learn new technologies while following best practices.

Build and own backend services and mobile integrations for Hiya's iOS and Android apps. Design Node.js services on AWS, ensure high availability and low latency, scale infrastructure for millions of lookups, collaborate with mobile engineers on SDK integration, and drive architecture and implementation decisions for AI-powered call screening, spam detection, and transcription features.

Join Realtor.com as a Senior Software Engineer to develop scalable mobile solutions, mentor peers, and engage in innovative technologies to enhance real estate experiences.

Develop and maintain full-stack web applications and analytic pipelines to support AI and clinical research. Collaborate with data scientists and researchers to implement ML models, ensure data security and compliance, mentor junior developers, and deploy scalable solutions using cloud, containerization, and version control tools.