Top Remote Python Jobs in Atlanta, GA

Design, build, and maintain end-to-end data ingestion and ETL pipelines for social video intelligence. Collaborate with product and engineering teams to implement features, ensure code quality, lead technical projects, participate in on-call rotation, and mentor junior engineers while advocating best practices.

Develop and enhance enterprise Java-based geolocation products across front-end and back-end using containerization (Docker, Kubernetes). Build microservices and SOA solutions, work with MongoDB/MySQL and Python, perform integration, testing, debugging, and provide tier 2/3 support in an agile DevOps environment using Atlassian tools.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Design and own AI-agent-driven test workflows and the automated verification framework. Build test context, select models and tooling, validate AI-generated code and tests, operate test automation across UI/API/mobile/data, ensure security and compliance, mentor teams, and continuously improve agent orchestration and observability.

Provide advanced, customer-facing technical escalation support for CalixOne and cloud-connected Wi‑Fi premises equipment. Troubleshoot complex networking and cloud issues, use data-driven insights to recommend improvements, create technical documentation, support early adopter customers, collaborate cross-functionally including executive communication, and complete ongoing training to stay current on features and technologies.

Architect and operate the People Technology platform: design scalable, secure Workday-based systems, build Workday Extend applications and Workday Studio integrations, implement event-driven APIs and data pipelines, champion AI-enabled HR workflows, ensure observability and SOX-compliant security, and partner with cross-functional teams to translate HR needs into technical roadmaps.

Lead full-stack development across backend and frontend systems, implement and maintain features, fix bugs, collaborate with product and design, support client projects, and contribute to a distributed remote engineering team focused on high-impact startup missions.

Lead architecture and delivery of AI-native contact center solutions using Amazon Connect and generative AI. Design AI agents, contact flows, serverless backends, analytics lakes, IaC, CI/CD, observability, and migration plans. Mentor engineers, drive technical decisions, manage risk, and support pre-sales and customer enablement.

Lead firmwide CAD standards, templates, and content libraries for utility-scale solar, BESS, and substations. Manage AutoCAD/Civil 3D configurations, QA/QC drawing audits, implement CAD tools and automation, train and mentor drafting staff, and partner with engineering and automation teams to standardize and improve drafting workflows.

The Core Blockchain Engineer will design, build, and scale Ethereum services, improving EVM Node solutions and enhancing tooling for maintainability and reliability.

Design and build backend services and APIs to support customer experiences and third-party device integrations. Own critical product flows, optimize for scale and performance, implement API monitoring, and collaborate with product, analytics, and cross-functional engineering teams.

Design, automate, and support AWS cloud infrastructure and Kubernetes (EKS) platform. Build IaC with OpenTofu/Terraform, manage GitOps deployments with Argo CD/Helm, develop automation in Python, implement monitoring in Datadog, troubleshoot production incidents, participate in on-call rotation, and improve CI/CD, security, and operational readiness.

As a Blockchain Developer, you'll design and develop scalable EVM-based solutions for Conduit's platform, improving Node and tooling for onchain compute.

Design, build, and maintain scripts, APIs, and automations for workplace systems and AI/agent integrations. Develop integrations between collaboration tools and identity platforms, implement observability, improve onboarding/offboarding workflows, and collaborate with IT, Security, and People teams to embed secure, scalable automation. Participate in pilots for LLMs/agents and contribute to documentation, code review, and reusable integration libraries.

Design, build, and maintain scripts, APIs, integrations and agentic automations for workplace systems (collaboration tools and identity platforms). Implement monitoring and observability, automate onboarding/offboarding and access workflows, integrate LLMs/agents for productivity, collaborate with IT/security/People teams to ensure compliance, and contribute to code review, documentation, and reusable integration templates.

Lead and execute end-to-end infrastructure strategy and operations across all products and the SSP. Own reliability, cost optimization, CI/CD, IaC (Terraform), tooling, logging/observability, and network/system security (Zero Trust, OPA, SOC 2). Be a hands-on leader—coach and grow the team, respond to high-severity incidents, implement scalable Kubernetes/Docker deployments, and drive deployment automation and cost/capacity planning.

Build and deliver AI-assisted QA curriculum as part-time instructors, authors, or subject-matter experts. Create and review course content, lead workshops, design exercises, advise on AI QA workflows, and support curriculum improvement with hands-on tool experience.

Design, develop, and support scalable software solutions using TypeScript, JavaScript and Angular. Work independently in an Agile team, write clean code and unit tests, troubleshoot performance and integration issues, collaborate with product and stakeholders, and contribute to continuous improvement and AI-enabled initiatives.

Lead and scale the product-facing engineering organization for consumer fintech products. Hire and grow teams, drive architecture and code quality, embed AI-native tooling and practices, and ship member-facing voice/chat/BankGPT experiences while remaining hands-on in technical reviews and architecture.

Design, build, and operate CI/CD, Kubernetes-based platforms, deployment automation, and observability for engineering workflows. Improve reliability, performance, and scalability across cloud and on-prem environments, debug cross-boundary failures, perform root-cause analysis, and deliver durable platform software and self-service tooling.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.

Design, implement, and maintain Python frameworks and services that orchestrate distributed engineering workflows across machines and clusters. Build scheduling, execution, resource management, failure recovery, and test infrastructure. Define APIs and abstractions, reason about concurrency and distributed-systems behavior, debug complex multi-system issues, write automated tests and documentation, and partner with platform, CI, release, QA, and product teams to deliver scalable infrastructure.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly collection/analysis, visualization and root-cause tools, failure classification and monitoring frameworks. Extend compilers, runtimes and programming interfaces for profiling and instrumentation, improve bring-up and low-level debug workflows, lead cross-functional initiatives, support incident response, and establish debuggability and reliability best practices.