Top Remote Python Jobs in Atlanta, GA

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.

Migrate and operate customer experience applications on Google Cloud. Perform lift-and-shift to GCP, deploy and validate releases, manage containerized microservices (GKE/Docker/Terraform), query and configure apps, use Jenkins/git for pre-staging, and troubleshoot Linux/Unix systems with scripting.

Design, develop, and administer databases and web applications for IVR and call center software. Build cloud-based integrations, write and maintain SQL, and participate in call center analytics system development and integration.

Lead architecture and implementation of enterprise AWS and Kubernetes (EKS) environments, drive cloud migrations and IaC, build GitOps/CI-CD pipelines (ArgoCD, GitLab CI), implement observability and security/compliance (HIPAA, SOC2, SOX), mentor engineers, lead PoCs, and manage incident response and on-call for critical cloud infrastructure.

Own product problems end-to-end: gather requirements, build full‑stack features using AI, verify production quality, monitor and support services, and iterate to improve outcomes.

The Associate Staff Engineer will lead automation testing efforts utilizing various tools and frameworks while mentoring teammates and implementing agile practices.

Nagarro seeks an Associate Principal Engineer with extensive IT experience in Python to drive strategic value and innovation in product engineering.

This role involves ensuring the reliability and performance of ClickHouse's cloud infrastructure, collaborating with engineering teams, incident management, and driving continuous improvement in service availability.

The Forward Deployed Engineer will engage with clients, prototype solutions, deploy machine learning models, and collaborate across teams to address national security challenges. Requires technical expertise in software engineering and strong communication skills.

The Senior Software Engineer will architect and optimize AI-powered developer tools, enhance the SDLC, collaborate across teams, and mentor peers to improve engineering productivity.

Build and improve the end-to-end experience for new customers by implementing features across Python services, a GraphQL gateway, Auth0-based auth, and Terraform-managed GCP infrastructure. Collaborate cross-functionally to redesign discovery, evaluation, onboarding, and time-to-value while ensuring reliability, testing, and stable deployments.

Lead design, implementation, and operation of production-quality DevOps platforms and automated test infrastructure for heterogeneous edge hardware. Improve CI/CD, build/release, deployment automation, developer tooling, and platform reliability. Enable reproducible tests, diagnose failures across devices, partner with engineering and QA, and drive major infrastructure initiatives from ambiguity to production.

Design, analyze, and test propulsion systems (primarily solid, with liquid/hybrid as needed) across the product lifecycle. Perform internal ballistics, structural and thermal analysis, develop propulsion performance models, support static/hot-fire and flight tests, integrate propulsion with airframe and avionics, advise on hardware fundamentals and producibility, and contribute to propulsion design standards and design reviews.

Lead hands-on development of scalable, secure enterprise applications. Partner with business stakeholders to design and deliver full-stack solutions using Python, React/Next.js, REST APIs, microservices, and cloud platforms (AWS). Work with enterprise data platforms (Snowflake, Databricks, PostgreSQL, SQL Server) to prototype and productionize impactful software.

Lead design and implementation of scalable, reliable platform systems; define SLIs/SLOs and observability; drive cross-team strategic initiatives; mentor engineers; own production standards, incident management, and cost/operational optimization to improve platform reliability and scalability.

Design, build, and maintain secure, scalable data pipelines and ML data workflows to support IRS fraud detection and compliance analytics. Collaborate with data scientists and stakeholders, troubleshoot production issues, produce documentation and briefings, and operate in restricted government environments.

Lead a software engineering team to deliver scalable, reliable systems. Own delivery, technical quality, hiring and talent development, cross‑functional collaboration, and continuous improvement across modern front-end and back-end stacks and cloud environments.

Design, build, and launch backend services to process and analyze clinical data at scale. Collaborate cross-functionally, enforce secure coding and privacy, support production systems, and drive technical improvements.

Design, build, and operate a reliable, scalable developer platform and cloud infrastructure (GCP/GKE). Lead SRE practices: SLO/SLI, observability, incident response, on-call, automation, security-by-default, Terraform IaC, CI/CD, capacity planning, mentoring, and platform enablement across teams.

Lead architecture, implementation, and optimization of Azure cloud infrastructure across multiple subscriptions. Build IaC standards and automation, mentor engineers, support mission-critical applications, improve deployment speed and cost control, monitor system health, participate in on-call rotation, and collaborate with cross-functional teams to deploy scalable, secure, production-grade systems.

The Workato Integration Architect will design and implement integrations using Workato, lead development of recipes and connectors, and collaborate with teams to define and optimize integration strategies.

Own and modernize billing systems: define plans, pricing, entitlements, usage metering, and billing APIs. Decompose monoliths into independently deployable services, ensure end-to-end correctness (reconciliation, idempotency), operate SLOs/alerting, and run on-call. Integrate with billing, CRM, and finance systems.

Design, implement, and maintain cloud infrastructure in compliance with IL5 and FedRAMP High standards, focusing on automation, security, and collaboration with security and compliance teams.

Design and lead architecture for scalable, secure cloud-native applications on GCP; define agentic AI architectures, APIs, and integration strategies; mentor teams, enforce governance, and drive DevOps, observability, and performance best practices.

Design, develop, modernize, test, and maintain data-driven software and relational databases for FAA aeronautical information distribution. Gather requirements, implement COTS integrations, troubleshoot production issues, produce technical documentation, participate in reviews, and provide technical leadership and mentoring across the software development lifecycle.