Top Remote Python Jobs in Atlanta, GA

Build and maintain reliable, secure, scalable backend systems for Lithic’s product platform. Own projects end to end across API key management, reliability, audit logging, search, and API infrastructure. Improve system reliability, reduce technical debt, participate in on-call rotations, and lead team process improvements while collaborating asynchronously across time zones.

Build and operate highly scalable storage infrastructure supporting petabyte-scale imagery data. Responsibilities include developing backend services and APIs, managing object storage and metadata indexing, tuning Elasticsearch, improving disaster recovery, monitoring performance, responding to incidents, contributing to architecture and roadmaps, and advising engineers. The role requires strong production software engineering experience with Go or Python, cloud-native systems, relational and non-relational databases, and highly available services.

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

Own and operate low-latency network infrastructure for trading systems, including colocation connectivity, exchange feeds, L2/L3 topology, BGP and OSPF routing, PTP synchronization, firewall policies, automation, packet analysis, documentation, and incident response. The role involves designing infrastructure from scratch, managing vendors, building Python tooling, and participating in on-call support within a small network engineering team.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

Build and scale Daymark Health’s cancer care platform across the stack. Responsibilities include developing secure infrastructure and core systems, collaborating with product, data, operations, and customers, integrating workflows, following HIPAA and SOC 2 controls, handling PHI securely, and using AI coding tools to accelerate development. The role requires contributing to technical strategy, improving user experience, and adapting quickly in a startup environment.

Build and operate the multi-tenant platform layer for a GPU cloud service. Responsibilities include Kubernetes-based orchestration, tenant isolation, platform APIs and tools, GPU cluster automation, infrastructure as code, reliability and observability partnerships, customer issue support, environment templates, rollout tooling, architecture reviews, and reducing operational toil.

Owns the hardware lifecycle for GPU and infrastructure assets, including fleet health monitoring, vendor RMA workflows, firmware and BIOS upgrades, burn-in testing, failure investigation, inventory accuracy, capacity planning, spare-parts strategy, runbook creation, and new platform qualification. The role serves as the technical owner of physical compute platforms and supports high-density GPU infrastructure across sites.

Owns reliability, observability, and incident response for a GPUaaS platform. Defines SLOs, builds monitoring and alerting systems, leads major incidents and post-incident reviews, automates operational processes, maintains runbooks, manages on-call operations, coordinates with engineering teams, drives chaos testing, reports SLA performance, and mentors junior engineers.

Monitor GPUaaS infrastructure, triage alerts, execute runbooks, coordinate incident response, communicate with customers, manage maintenance windows, resolve Tier 1 tickets, and improve monitoring and operational procedures. The role provides 24/7 rotating coverage, including nights, weekends, and holidays, while maintaining shift handoffs and active-incident documentation.

Forward Deployed Engineer responsible for managing client relationships, supporting end-to-end data product implementations, ensuring data quality and adoption, and coordinating account and engineering teams. The role develops scalable data pipelines and product lines, applies SQL or Python and statistical methods, creates visualizations, documents code, trains employees, and drives customer value. Experience with data products, retail or consumer data, BI infrastructure, and alternative data sources is valuable.

Build and maintain cloud-native production platforms, automate infrastructure and deployment environments, and bridge application development with production teams. Responsibilities include validating implementations, independently solving technical problems, developing small components, estimating work, debugging systems, and promoting DevOps, DevSecOps, CI/CD, infrastructure-as-code, containerization, and security best practices. The role requires Kubernetes and cloud experience, programming and shell scripting knowledge, YAML proficiency, cross-functional collaboration, and U.S. citizenship.

Own the DevOps strategy, cloud infrastructure, platform engineering, CI/CD, GitOps, observability, reliability, security, and cost optimization across client engagements. Lead architecture and automation across AWS, Azure, and GCP; establish infrastructure and delivery standards; manage incident response and SLOs; advise clients; mentor engineers; support hiring; and drive continuous improvement using DORA metrics.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

Perform CFD and 1D lumped-parameter fluid analyses for rocket engines, predict component and system performance, build transient and steady models, support testing and anomaly investigations, recommend design improvements, and mentor peers to grow propulsion fluid-analysis capabilities.

Own and advance Yahoo’s enterprise Node.js development environment, including runtimes, packages, container images, internal integrations, and CI/CD workflows. Manage runtime lifecycles, security updates, dependencies, releases, testing, automation, and troubleshooting. Support GitHub Enterprise and GitLab Enterprise while integrating AI programming tools to improve developer productivity. Partner across engineering and security teams, and document platform changes, migrations, and deprecations.

Lead an engineering team delivering automated month-end close pipelines for client accounting teams. Oversee ERP integrations, SQLMesh and DuckDB transformations, journal-entry outputs, controls, reconciliations, exception handling, and approval workflows. Maintain architectural boundaries across Elixir, Python, and platform components while converting bespoke client solutions into reusable capabilities. Manage technical roadmaps, multiple client engagements, engineering standards, and team development while partnering with accounting, delivery, technology, and product stakeholders.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Develop full-stack mission planning and command-and-control software for space communications programs. Build responsive interfaces with modern JavaScript frameworks, backend services and APIs using Python and SQL, and containerized applications. Own features through testing and deployment, write automated tests, collaborate with QA and cross-functional teams, and improve software usability, security, performance, and reliability in highly secure government environments.

The HealthShare Application Engineer will lead software development and manage project teams, provide technical support, and maintain operational pipelines for application products.

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.

Build, deploy, and support secure, scalable full-stack healthcare payment applications. Own front-end, service, backend, analytics, data pipelines, CI/CD, cloud deployment, observability, performance optimization, production incidents, and compliance. Collaborate with product, data, DevOps, QA, business, and client teams to deliver reliable features and platforms across hybrid cloud and on-premise environments.