Top Remote Python Jobs in Atlanta, GA

Supports the design and progressive ownership of Azure-based SaaS integrations, centralized data repositories, automated ETL/ELT pipelines, Power BI data models, and secure cloud workflows. Develops automation using Python, JavaScript, and JSON; troubleshoots APIs and authentication issues; documents integration processes; and collaborates with stakeholders. The role is intended for an early-career cloud engineer who will grow toward independently managing cloud data architecture and integration solutions.

Build and operate internal IT systems across identity, endpoints, Google Workspace, Slack, SaaS governance, and automation. Own Okta access engineering, Workspace ONE macOS fleet management, lifecycle workflows, compliance controls, audit evidence, and technical escalations. Partner with Security, Engineering, People, and Finance to improve security, reliability, and scalability while reducing manual IT support through automation.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Own identity and access engineering in Okta, macOS endpoint management in Workspace ONE, Google Workspace and Slack administration, SaaS governance, and IT automation. Build onboarding, deprovisioning, access reporting, device compliance, and audit-evidence workflows. Serve as a technical escalation point for identity, endpoint, access, and internal infrastructure issues while translating security and compliance requirements into durable IT controls.

Build high-fidelity wireless network models in Spacetime, develop Python or Go adapter layers, create Protobuf/JSON/gRPC data schemas, perform link-budget and propagation analyses, and support live customer networks as a tier-three escalation lead. Collaborate with product and software engineering teams to convert custom integrations into reusable features. The role requires software engineering fundamentals, physical-layer communications knowledge, system modeling experience, and at least three years of engineering experience.

Designs, executes, and analyzes orbital maneuvers; monitors satellite orbits and pointing performance; generates precise ephemerides; develops automated satellite maintenance tools; supports Space Situational Awareness; and assists with launch commissioning, tracking strategies, communications, and subsystem calibration.

Leads the Engineering organization across two remote teams, directly managing, coaching, and developing engineers. Partners with Product to drive timely, high-quality delivery; staffs initiatives, develops technical leads, resolves cross-team risks, supports hiring, and contributes to architecture, technical debt, and scaling decisions. The role oversees execution, engineering process, quality, and team engagement while guiding a high-scale SaaS platform built with TypeScript, Python, Django, React, AWS, Postgres, and Redis.

Leads engineering managers and software teams building customer-facing front-end applications and internal and external APIs. Sets technical direction, oversees delivery, manages risks and dependencies, improves engineering quality and security, develops talent, supports hiring, and partners with product and design. The role drives innovation and scalable software solutions for connected vehicle and fleet operations.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale cloud infrastructure.

Designs, develops, and maintains infrastructure for ML pipelines and CI/CD. Analyzes infrastructure performance, collaborates with data and software teams, manages feature stores and model registries, writes maintainable code, and documents technical processes. The role requires experience with cloud, big-data, programming, workflow orchestration, version control, and continuous integration technologies.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale distributed systems.

Develop and deploy automated system tests for distributed software environments. Collaborate with developers and QA teams, create test plans, verify requirements and coverage, troubleshoot features, improve testing methodologies, and solve large-scale automation and verification problems using software development and related internet technologies.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Lead and grow a developer experience team responsible for monorepo strategy, CI/CD, build systems, developer environments, and onboarding. Improve engineering velocity, CI reliability, and developer trust; establish standards, adopt AI-assisted workflows, and partner with infra/ML teams to remove friction for large-scale AI research.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Build and scale a fintech platform across accounting, tax, and banking. Own feature lifecycle from design to deployment, write backend and frontend code, improve infrastructure and reliability, and collaborate with product and design to deliver customer-focused features.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.

Design and operate secure, scalable, highly available infrastructure for a low-latency decentralized exchange and blockchain network. Own infrastructure automation, CI/CD, Kubernetes performance, observability, security, incident response, disaster recovery, cost optimization, and reliability practices. Mentor engineers, document systems, and participate in on-call rotations while supporting high-throughput trading workloads.

Provides remote, onsite, and customer-site technical support for laboratory automation platforms. Manages customer cases, troubleshoots software, hardware, networking, robotic, and database issues, deploys and debugs integration code, performs upgrades and configuration changes, trains customers, collaborates with field and internal teams, and documents resolutions and process improvements.

Supports laboratory automation customers by managing technical cases, troubleshooting software, hardware, networking, and robotics systems, and deploying integration code. Configures databases, performs upgrades and configuration changes, trains customers, collaborates with field service and software teams, documents issues, and drives resolutions. The role is remote with office and customer-site work and requires approximately 30% domestic travel.

Design, develop, test, implement, maintain, and support custom web applications and software solutions involving internet security, content delivery, APIs, and cloud computing. Build new applications and platform capabilities, improve existing functionality, contribute to automated unit, functional, integration, and end-to-end testing, and troubleshoot distributed systems and web services.