Top Remote Python Jobs in Atlanta, GA

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

The HealthShare Application Engineer will lead software development and manage project teams, provide technical support, and maintain operational pipelines for application products.

Seeking a Staff Cloud Software Engineer to architect and manage scalable cloud systems on AWS, improve security, and mentor engineers.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Build and maintain agentic workflow components and the platform requirements knowledge base to ensure features ship across GitLabs deployment targets. Implement integration surfaces (issues, MRs, design docs, CI/CD), collaborate with platform teams to translate expertise into structured requirements, and write tests, documentation, and evaluations for agentic-workflow behavior and assessment accuracy.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Design and implement cloud-based solutions with customers; write and reuse code, produce design documents, decompose and estimate work, act as on-call DRI to monitor and restore services, collaborate with cross-functional teams, contribute to open-source, and stay current with engineering best practices.

Lead enterprise observability architecture and modernization using Splunk and Databricks. Design telemetry ingestion, data lakehouse, AIOps, security analytics, governance, and high-performance log analytics at petabyte scale while mentoring teams and aligning strategy with business and compliance goals.

The Senior Data Engineer at Sovos will design and build the Snowflake architecture and dbt models for financial data while ensuring pipeline reliability and data quality standards. Responsibilities include monitoring and managing production pipelines, collaborating with finance stakeholders, and extending data models.

Design, implement, and maintain scalable serverless backend services for grading and feedback systems using AWS Lambda. Build RESTful APIs and event-driven microservices, optimize performance and cost, maintain CI/CD pipelines (GitHub Actions), troubleshoot production issues, conduct code reviews, and mentor junior engineers while collaborating with QA, Product, UX, and Support.

Own end-to-end full-stack features across a Python backend and Angular frontend. Design and scale AWS data systems and data lakes, work with large datasets, and build production AI/ML and LLM-powered features. Partner with product and science, mentor engineers, and support production reliability and performance.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Design, implement, and improve Microsoft 365 sovereign cloud services for government customers. Develop and test code to increase availability, reliability, performance, and observability of large-scale distributed systems; build telemetry and automation; troubleshoot production issues; participate in code/design reviews, on-call rotations, and incident response; collaborate with product teams to deploy scalable solutions.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Architects and implements scalable, secure software solutions and provides technical leadership across development and design teams. The role focuses on CIAM architecture using Okta, secure OIDC, OAuth 2.0, and SAML authentication flows, token validation, Okta customization, reusable identity libraries, and developer enablement. Responsibilities include mentoring engineers, defining coding standards, advising executives, integrating APIs and microservices, leading innovation, and supporting cloud-native, distributed platforms across the full technology stack.