Top Remote Python Jobs in Atlanta, GA

Plan, forecast, and optimize hardware capacity for storage, compute, and network. Build predictive models and automated forecasting pipelines, monitor cluster performance, align cross-functionally with engineering, operations, and finance, and support procurement and deployment decisions to ensure scalable, cost-efficient platform reliability.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

The Mission Engineer positions involves system modeling, software integration, data modeling, link analysis, and operations triage of wireless communication systems.

The role involves developing and verifying SoCs, creating test plans, debugging, and collaborating with various experts to ensure competitive solutions.

Lead implementation of software safety programs for underwater robotic/autonomous vehicles per MIL-STD-882. Produce safety plans and assessments, perform hazard analyses, track coverage metrics, catalog safety artifacts, review software independently, and present findings at reviews and customer meetings. Coordinate across programs and support demanding schedules with occasional travel.

Build and maintain intuitive frontend web applications for data upload, search, visualization, and interactive 2D/3D geospatial tools. Collaborate with scientists to design complex visualizations, modernize the frontend stack, mentor junior developers, and implement automated UI testing and deployment pipelines.

The role involves building decision science libraries and tools for mineral exploration, collaborating with teams to improve decision-making processes.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Lead verification of custom ASIC/SoC from block to full-chip: develop verification plans, build SystemVerilog/UVM testbenches, run constrained-random and directed tests, use SVA and formal methods, manage regressions and CI, drive coverage closure, support post-silicon bring-up, and influence DV methodology across cross-functional teams.

Design, implement, and maintain Plume's core blockchain node and validator software; develop scalable, secure protocol features across the full crypto/DeFi stack; tackle distributed-systems and networking challenges; integrate backend services and on-chain UX; and iterate on protocol design to improve performance and reliability.

Lead design, implementation, automation, and troubleshooting of Akamai's global network infrastructure. Build and maintain scalable BGP routing, data center CLOS fabrics, overlay technologies (VxLAN/EVPN), multi-vendor environments, and automation templates. Drive hardware/platform rollouts, deep-dive analysis, and clear documentation to ensure reliability, scalability, and security.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.

Lead platform reliability for a high-volume OMS: drive automation, self-healing, observability, incident management, RCA, performance tuning, and mentor support engineers while partnering with engineering and vendors.

Design, administer, and optimize databases for cloud-native platforms. Support production incidents, evaluate and improve schemas and replication, drive DB architecture choices across AWS/GCP, implement IaC (Terraform) and GitOps, and build repeatable database designs for availability, reliability, and performance.

Own and drive the architecture and roadmap of ClickUp's data platform. Build scalable, reliable data pipelines and AI/ML infrastructure using AWS serverless, Snowflake, dbt, and Terraform. Lead cross-team technical initiatives, optimize cloud costs, establish engineering standards (observability, testing, CI/CD), mentor senior engineers, and influence org-wide architecture decisions.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Build and maintain full-stack donor-facing giving forms, payment flows, recurring giving, memberships, and administrative tools. Own projects from architecture through production support, ensuring reliability, accessibility, performance, and data integrity. Collaborate with product managers, designers, and engineers; mentor junior engineers; contribute to technical standards, security monitoring, hiring, and rotational on-call support. Potentially serve as a Tech Lead for roadmap implementation and technical decision-making.

Own collaborative editing across React clients and Node services, including offline storage, queued mutations, realtime WebSocket synchronization, conflict resolution, and data persistence. Build agent-enabled editing experiences, investigate data-loss issues across environments, and collaborate with designers, backend engineers, and open-source contributors. The role requires production TypeScript experience across React and Node, rich-text editor frameworks, offline applications, WebSockets, and advanced Postgres skills.

Own end-to-end custom integrations for strategic customers, from technical discovery through production deployment. Build Python-based integrations against unfamiliar APIs and infrastructure, collaborate directly with customer engineers and stakeholders, diagnose issues remotely, and distinguish one-off requests from broader product gaps. The role requires independently delivering production code, communicating with both technical and executive audiences, and supporting deployments in cloud, self-hosted, regulated, and air-gapped environments.

Provide tier-2 technical support and administration for lottery platforms, troubleshoot availability and performance issues, support customer implementations, maintain monitoring and documentation, manage SLAs, and participate in 24x7 on-call rotation. Work primarily with Windows Server and SQL Server, plus some Ubuntu and Java/WildFly support.