Top Remote Python Jobs in Atlanta, GA

Develop and implement digital pre-distortion algorithms and production software for radio hardware. Model nonlinear power amplifier behavior, select DPD engines, collaborate with hardware design teams on DFE, AFE, and feedback paths, troubleshoot radio performance, and test hardware robustness. The role requires advanced DSP, nonlinear system modeling, RF expertise, FPGA or ASIC experience, programming in Matlab, Python, and C++, and at least three years of relevant industry experience.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Create and maintain developer documentation, tutorials, API references, troubleshooting guides, and runnable examples for LanceDB. Build documentation designed for both developers and AI agents, validate AI-generated content, maintain documentation tooling, automate code and link checks, and collaborate with engineering, product, and open-source communities. The role requires strong Python skills, database and data workflow knowledge, technical writing expertise, and experience with Git-based development workflows.

Provides L2 technical support for a B2B SaaS platform by investigating escalated issues, reproducing problems, shipping bug fixes, and supporting L1 representatives. The role partners with Engineering, Product, Customer Success, and senior engineers, identifies recurring issues, improves visibility through metrics, documents findings, and writes knowledge-base content. The position works remotely on a 3 PM–11 PM ET weekday shift with alternating Saturday on-call coverage.

Supports and administers customer Azure environments, troubleshooting incidents, monitoring performance, implementing custom solutions, and executing planned changes. Participates in on-call rotations, documents work, collaborates across technical teams, engages Azure Support, and provides capacity and performance recommendations. The role also requires customer communication, staying current with Azure services, mentoring junior engineers, and contributing to automation and cloud infrastructure improvements.

Designs and implements ITIL/ITSM automation and orchestration workflows across ServiceNow, cloud, monitoring, and DevSecOps platforms. Builds REST integrations and reusable scripts using Python, JavaScript, and PowerShell; automates Change, Incident, Request, and CMDB processes; connects infrastructure and support systems; and collaborates with service owners to modernize enterprise service delivery. Requires active Secret clearance, U.S. citizenship, and eligibility for Top Secret/SCI.

Maintain and improve AWS-based Kubernetes infrastructure, GitLab CI/CD pipelines, Terraform modules, and Helm deployments for a satellite communications platform. The role focuses on cloud reliability, security, observability, IAM, troubleshooting, automation, and operational support across distributed engineering teams.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Owns application and API services for a multi-tenant, multi-cloud AI platform serving enterprise finance teams. Responsibilities include designing versioned APIs, building review and approval workflows, enforcing authentication, authorization, and tenant isolation, creating auditable systems, supporting customer-hosted deployments, and managing service performance, reliability, observability, and cost. The role also establishes backend patterns, reviews designs, mentors engineers, and partners with data, AI, and product teams.

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.

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.

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.