Top Remote Python Jobs in Atlanta, GA

Supports DevOps and SRE activities for production SaaS applications and cloud infrastructure. Responsibilities include collaborating on technical requirements, monitoring uptime and reliability, resolving operational issues, researching and testing optimization solutions, documenting procedures, supporting production through shifts or 24x7 availability, and following network administration and cybersecurity best practices. The role involves Linux administration, CI/CD, configuration management, infrastructure as code, cloud platforms, and scripting.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

Design, build, and maintain Terraform-based multi-account cloud infrastructure; create CI/CD pipelines; develop automation workflows and AI-assisted engineering tools; monitor observability and security posture with Datadog; eliminate operational toil via scripting, IaC, and AI tooling while ensuring compliance.

Build scalable, secure, high-performance applications for clients, clinicians, and internal users. Collaborate across Product and Clinical Operations, translate workflows into impactful features, improve architecture and system stability, and contribute to design, testing, code reviews, and technical planning. Lead cross-functional projects, mentor junior developers, and help shape innovative technology supporting mental healthcare.

Operate and improve Azure-hosted SaaS infrastructure across multiple environments. Responsibilities include Terraform-based provisioning, GitHub Actions CI/CD, monitoring and observability, AI service operations, incident response, security and identity management, database, storage and messaging operations, cost optimization, disaster recovery, and operational documentation. The role partners with engineering teams to ensure reliable, secure, scalable, and cost-efficient production systems.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

The Senior Network Engineer will design, manage, and optimize large-scale data center networks for AI workloads, ensuring reliability and performance.

Lead multi-year technical vision and architecture for Payments, Scheduling, Forms, RCM and mobile platforms. Drive cross-team solutions, evaluate build-vs-buy, mentor senior engineers, set company-wide engineering standards, and ensure scalability, reliability, and observability for high-throughput distributed systems.

Manage, deploy, scale, and monitor OpenShift and Kubernetes clusters; configure and troubleshoot containerized applications; automate provisioning and deployment pipelines using Ansible, Terraform, and Helm; integrate clusters with CI/CD tools (Jenkins, Maven, GitHub/GitLab); document issues and support platform reliability.

Lead and implement security engineering controls across the platform: identify real risks, build secure-by-default libraries and guardrails, enforce least-privilege for services protecting patient data, harden developer machines, and partner with compliance to convert requirements into effective technical controls.

Build, maintain, and monitor integrations between enterprise systems (Salesforce, NetSuite, Workday, Marketo, Snowflake) using iPaaS and scripts. Design scalable data mappings, troubleshoot syncs and API failures, implement error handling and observability, and partner with Finance, GTM, People Ops, and IT to support lead-to-cash and employee lifecycle workflows.

Build and maintain integrations connecting CoLab to CAD, PLM, and enterprise systems. Design and implement desktop and web capabilities, troubleshoot PLM/CAD workflows, collaborate with Product and Customer Success, and mentor engineers to deliver scalable, reliable engineering lifecycle software.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Full Stack Software Developer responsible for designing, building, testing, and deploying scalable member-facing and internal applications. Work includes building APIs, database components, cloud-native solutions, CI/CD pipelines, and adopting AI-assisted development practices while collaborating in an Agile environment to improve member digital experiences.

Lead software design, architecture, and delivery for a defense-focused program: gather requirements, drive technical vision, coordinate cross-functional teams, implement front-end data-visualization features, integrate analytics/optimization, and manage unclassified-to-secure deployment and CI/CD to deliver working, government-deployable software.

Own and evolve Fieldwire's cloud production infrastructure and tooling: design and automate SDLC and IaC, ensure reliability and security, lead incident response and observability, mentor engineers, and drive platform architecture and process improvements.

Design, build, test, and continuously deploy scalable infrastructure and platform tooling. Create technical specs and rollout plans, collaborate with stakeholders, mentor teammates, support services in production, and shape engineering practices across teams.

Design, build, test, and maintain scalable web applications. Create responsive UIs with Angular or React (TypeScript), implement Python/Flask backends and RESTful APIs, design relational schemas, troubleshoot production issues, perform code reviews, and mentor junior developers.

Lead and grow an 8-10 person engineering team to design, build, and operate a multi-cloud data plane platform. Drive roadmap, delivery, release readiness, operational excellence, CI/CD, observability, incident management, and cross-functional partnerships with Product, Security, Infrastructure, and SRE.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Designs and delivers scalable software, data, and cloud solutions for client and internal projects. Translates requirements into technical designs, owns engineering workstreams, troubleshoots systems, integrates APIs and data pipelines, and communicates with technical and non-technical stakeholders. Collaborates with architects, project managers, and clients while maintaining engineering, security, testing, documentation, and quality standards in agile environments.

Design, architect, build, and scale reliable backend systems operating at Internet scale. Develop distributed, event-driven applications; design RESTful APIs and NoSQL data solutions; deploy cloud and serverless applications; containerize services; and establish CI/CD pipelines. The role emphasizes software development best practices, testing, clean architecture, reliability, scalability, and potential Open-Source Intelligence community experience.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

Supports the design and progressive ownership of Azure-based SaaS integrations, centralized data repositories, automated ETL/ELT pipelines, Power BI data models, and secure cloud workflows. Develops automation using Python, JavaScript, and JSON; troubleshoots APIs and authentication issues; documents integration processes; and collaborates with stakeholders. The role is intended for an early-career cloud engineer who will grow toward independently managing cloud data architecture and integration solutions.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.