Top Remote Software Engineer Jobs in Atlanta, GA

The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.

MotiveMetrics seeks a Staff Front End Engineer to enhance their customer-facing application utilizing AI and machine learning. Responsibilities include working with JavaScript frameworks, designing and deploying web applications, and leading engineering teams while ensuring system quality and stability.

The Staff Software Engineer will focus on developing and managing cryptographic security tools and libraries at Gemini, enhancing the security of digital assets. Responsibilities include building software for multi-party computation, applying cryptographic methods, maintaining security solutions, and collaborating closely with multiple engineering teams.

The Service & Commissioning Engineer/Technician at Zeeco will manage on-site commissioning, maintenance, and troubleshooting of combustion and fired equipment. This role involves extensive travel, preparation of risk assessments, and adherence to safety policies while ensuring exceptional client support and training.

As a Lead Engineer in MLOps, you will design and implement MLOps pipelines, manage cloud resources, automate model deployments, and collaborate with data scientists to optimize AI/ML infrastructures while staying updated on industry trends.

As a Senior Firmware Engineer at Owlet, you will design and maintain firmware for innovative products aimed at ensuring safe sleep for infants. You will write code and tests, work cross-functionally to introduce new features, ensure quality through various testing methods, mentor junior engineers, and collaborate with manufacturing to deliver products.

As a Software Engineer at Acryl Data, you'll enhance a Python-based ingestion framework to support data ingestion from various systems like Snowflake, Redshift, and Kafka. Your role involves building connectors for major systems in the modern data and ML stacks and enabling the ingestion framework to operate in a cloud-native environment.