Top Remote Python Jobs in Atlanta, GA

Owns core backend computation services that produce correct, reproducible, traceable, and auditable financial results. Designs configuration-driven architectures, data-intensive services, and set-based warehouse computations. Requires strong Python, SQL, data modeling, system design, reliability, isolation, and testing expertise. Provides technical leadership through design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams.

Build and lead quality engineering for a multi-tenant AI platform. Responsibilities include creating API, UI, backend, performance, security, and database automation; integrating tests into CI/CD; validating cloud and Kubernetes deployments; ensuring tenant isolation and compliance evidence; defining QA standards and release processes; mentoring engineers; and communicating quality risks. Preferred experience includes testing AI/LLM applications, financial systems, observability, chaos engineering, and startup environments.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Lead a globally distributed IT engineering team building enterprise integrations, workflow automation, orchestration, and AI-native workflows. Set technical direction, establish roadmaps, manage delivery metrics, and partner with business and service operations leaders to eliminate manual work. Guide engineers on architecture, CI/CD, testing, and development practices while evaluating emerging automation and AI tools. Build integrations across identity, ITSM, SaaS, and enterprise systems, and grow team capabilities across US and India time zones.

Lead the design and implementation of a distributed compute control plane for managing virtual machines across Akamai’s cloud fleet. Own database partitioning and sharding, placement reconciliation, asynchronous operations, consistency guarantees, idempotency, fencing, and saga-style workflows. The role requires deep distributed systems, database, containerization, Kubernetes, and controller-pattern expertise, along with strong Python or Go development skills.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Designs and manages DevOps processes, automation, CI/CD pipelines, cloud environments, containerized infrastructure, observability, and release systems. Partners with development, QA, DataOps, architecture, support, and operations teams to improve reliability, security, scalability, and performance. Responsibilities include infrastructure provisioning, monitoring, troubleshooting, root-cause analysis, technical documentation, tool evaluation, production support, and continuous improvement.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Own end-to-end full-stack product features using TypeScript, Node.js, React, Python, Kafka, and distributed systems. Design data models, backend services, event pipelines, interfaces, auditability, security controls, and AI agent experiences for a regulated fintech product. Operate production systems, collaborate with AI engineers, and help establish engineering practices on a small remote team.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Build, automate, secure, and maintain Google Cloud environments for a federal health customer. Responsibilities include managing Compute Engine, GKE, Cloud Run, networking, IAM, Terraform modules, CI/CD pipelines, monitoring, logging, troubleshooting, and compliance documentation. The role is fully remote and requires support for federal security and operational frameworks.

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.

Develops and maintains high-quality systems software and microservices for Azure Messaging services, including data storage and replication. Drives product and engineering-process innovation, applies AI to software development, ensures software quality and stability, and uses rigorous development practices including requirements, testing, and efficient coding techniques.

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.