Top Remote Python Jobs in Atlanta, GA

Build and deploy secure business automations and integrations across SaaS tools, internal systems, and APIs. Partner with stakeholders to identify high-impact workflow improvements, apply AI and agentic patterns where appropriate, and establish scalable engineering practices for documentation, testing, access controls, secrets management, logging, and maintenance. The role also helps shape automation infrastructure and team standards while collaborating with security and IT leadership.

Designs, develops, tests, deploys, monitors, and operates large-scale distributed cloud services for Azure Arc. Builds software across agents, Kubernetes environments, and globally distributed Azure services using languages such as C# and Go. Responsibilities include automation, debugging, performance optimization, reliability improvements, telemetry, live-site operations, and cross-team collaboration. The role requires participation across the full software development lifecycle and ownership of features from design through production support.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Develop and maintain athenaOne API integrations, including Salesforce connectivity, authentication, data mapping, webhooks, and error handling. Configure and administer athenaClinicals, monitor API changes, manage testing and rollouts, and troubleshoot synchronization issues. Evaluate AI and agentic tools that improve clinical workflows. Collaborate with clinical, operational, and athenahealth teams while maintaining technical documentation and supporting HIPAA-compliant healthcare data integrations.

Manage BizTech production operations, including ticket queues, incident response, on-call troubleshooting, observability dashboards, and service-health reporting. Build automation and self-healing workflows using Python, Go, JavaScript, TypeScript, Bash, infrastructure-as-code, CI/CD, and AI-assisted tools. Develop LLM-powered triage, diagnostics, runbooks, and root-cause analysis to reduce recurring tickets and improve mean time to resolution. Partner with global stakeholders and support enterprise systems, data pipelines, monitoring, and identity integrations.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Own Cresta’s web platform, CMS architecture, component system, analytics and GTM integrations, localization, SEO/AEO implementation, and engineering practices. Build tooling that enables marketers to work independently and develop, deploy, evaluate, and optimize AI agents for marketing use cases. Partner with brand, design, marketing operations, product, and engineering teams while providing technical leadership and owning projects end to end.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Principal Engineer responsible for owning complex software initiatives from problem framing through architecture, implementation, deployment, production support, and continuous improvement. The role involves building web applications, services, APIs, MCP servers, data pipelines, and platform integrations; leading architecture and code reviews; improving security, reliability, and maintainability; mentoring engineers; and shaping technical strategy. The engineer will also use and improve AI-assisted development practices while maintaining human accountability for quality and operational outcomes.

Lead design and hands-on development of AWS-based serverless backend and IoT cloud services. Build Python Lambda microservices, REST APIs, telemetry pipelines, and secure AWS IoT Core device communication. Mentor engineers, define architecture patterns, ensure production readiness (monitoring, CI/CD, security), and guide cross-functional integrations and technical roadmaps.

Own backend and product delivery from scoping through production. Design customer-facing backend services, AI agent capabilities, APIs, data models, and system architecture for large unstructured datasets. Lead high-impact technical initiatives independently, maintain engineering quality, shape product direction with founders, and translate customer needs into dependable software. The role requires advanced Python, production-scale backend experience, system design expertise, and a product-minded approach.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Build scalable web applications, APIs, data pipelines, and data integrations for a cybersecurity platform. Responsibilities include architecting software for high-volume data environments, designing algorithms and data structures, optimizing storage and performance, maintaining coding standards, supporting analytics data systems, and collaborating across technical and non-technical teams throughout the product lifecycle.

Leads QA automation initiatives by developing and maintaining automated functional, regression, API, and integration test suites for Guidewire software and mobile applications. Improves CI/CD pipelines, performs root cause analysis, drives quality improvements, collaborates with developers and product owners, and mentors junior QA engineers.

Leads systems architecture and solution development for complex federal programs, translating requirements into executable cloud-native solutions. Advises executives and government customers while guiding integrated product teams developing AI/ML capabilities on AWS. Responsibilities include software architecture, distributed systems, REST APIs, microservices, automation, testing, security compliance, and technical documentation. The role requires extensive software engineering experience, active Secret clearance, Agile expertise, and familiarity with Navy weapon systems and NAVAIR.

Design, build, and operate reliable, scalable services across the C+E stack. Automate operations with scripts and CI/CD, use telemetry to detect trends, perform root cause analysis, support dedicated cloud environments, and collaborate across teams to ensure security, compliance, and operational excellence.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Designs, develops, and deploys enterprise applications using Java, Spring Boot, microservices, REST APIs, cloud services, databases, DevOps tools, and Angular or React. The role also involves AI exposure with Python, LangChain, and LangGraph, along with application security, monitoring, performance, deployment, and collaboration with project teams. The position is onsite in McLean, Virginia.

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.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.

Leads signal and power integrity for next-generation ASIC packaging, defining design rules, analyzing interposer, substrate, and PCB performance, and delivering high-volume package designs. Collaborates with layout teams, vendors, and system partners on advanced packaging and high-speed interfaces. Establishes design processes and tools, contributes to ASIC architecture reviews, mentors engineers, and drives technical improvements. Requires extensive high-speed ASIC tape-out, SerDes, SI/PI, electromagnetic analysis, and laboratory tool experience.

Build scalable Python backend services and distributed geospatial data pipelines for sonar and bathymetric datasets. Architect AWS cloud infrastructure, APIs, storage, and edge-processing systems for AUVs. Integrate AI/ML models for target detection and data classification, optimize cloud-native geospatial formats, and contribute to containerization, infrastructure-as-code, and CI/CD. The role bridges real-time onboard processing with post-mission cloud analysis.