Top Remote Python Jobs in Atlanta, GA

The Engineering Manager for Data Products will lead a team of engineers in building data analysis products, ensuring high-quality delivery, and fostering collaboration in a remote work environment.

Develop and optimize CUDA kernels and GPU-accelerated software for latency-sensitive, high-throughput workloads. Profile and tune GPU performance, scale multi-GPU/multi-node systems, build tooling to correlate GPU utilization with real-time energy/grid signals, collaborate with infrastructure and ML teams, and contribute to libraries and best practices for GPU performance in data center environments.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

As a Staff Product Engineer, you'll lead the design and delivery of Vitable's financial systems, ensuring reliability, compliance, and scalability, while collaborating with cross-functional teams in a fintech environment.

The Staff Software Engineer will lead projects, mentor team members, write code using Python, Django, React, JavaScript, and TypeScript, and impact the healthcare system with software solutions.

As a Senior Software Engineer at Medallion, you'll lead projects, mentor team members, and work with technologies like Python, Django, React, and TypeScript to impact healthcare operations.

As a Forward Deployed Engineer, you will design and prototype integrations, scope partner architectures, and translate findings into product requirements to support AI workloads.

Administer and maintain IRIS for Health integration platforms on AWS EC2 and Linux, manage network security and PaloAlto VPNs, build CI/CD with CodeFresh/GitLab, integrate and troubleshoot EHR interfaces (Epic, Cerner, Allscripts), automate provisioning with scripting (Python, ObjectScript, Bash, JavaScript), implement infrastructure automation, monitor systems, participate in on-call support, and optimize performance and reliability.

Design, deploy, and maintain observability for mobile core networks (2G/3G/4G/5G). Implement monitoring, tracing, log aggregation, AI anomaly detection, dashboards, and alerts. Provide L3 support and troubleshoot network issues, develop KPIs/SLOs, train NOC teams, and manage escalations to meet SLAs.

Manage, configure, integrate and troubleshoot IMS/VoLTE core network nodes and services across 2G/3G/4G. Perform monitoring, incident handling, Wireshark trace analysis, configuration changes, maintenance, security audits, and on-call support. Improve processes, implement IMS features, and coordinate with customers and third-party providers.

Lead cloud mobile core platform operations: configure and manage core network elements (HLR/HSS, SGSN, GGSN/PGW, SMSC, SBC, STP, DRA), troubleshoot with Wireshark, run security audits, implement interconnects, build dashboards, handle incidents and on-call duties, and collaborate with providers and internal teams.

Provide L3 telecom support: monitor and troubleshoot mobile core and roaming issues across 2G/3G/4G/5G using signalling trace analysis, coordinate with MNOs, create dashboards, support NOC, develop KPIs and training, and participate in a 24/7 on-call rota.

Own and operate subscriber data management (HLR/HSS/UDR/UDM) across 2G–5G. Design provisioning workflows, implement MAP/Diameter/HTTP2 interfaces, monitor KPIs, handle incidents, perform maintenance and protocol traces, lead deployments/upgrades, support MVNO onboarding, automate provisioning tasks, and participate in 24/7 on-call rotations to ensure high availability and data integrity.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Develop and maintain front-end and back-end components of AI-driven products, collaborating with teams to enhance user experience and build proof of concept products.

The Full Stack Software Engineer will develop, innovate, and maintain features for a SaaS platform using technologies like React and Python, contributing to a collaborative team to enhance product performance.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

Design, build, and operate a scalable demo environment platform. Implement IaC and automation, CI/CD, container orchestration, and observability. Create golden templates, seed data, access controls, and tooling to support Sales Engineering and internal users while ensuring reliability and security.

The Test Automation Engineer will develop automated testing frameworks for Esri software, execute tests, manage defects, and ensure compliance with federal standards.

Support and evolve internal infrastructure across cloud and on‑prem environments. Administer enterprise systems, identity and access (SSO/MFA), endpoint protection, backups and DR. Automate workflows with scripting and API integrations, monitor system health, participate in on‑call rotations, and collaborate with IT Support, Security, and Engineering to improve reliability, security, and scalability.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.