Top Remote Python Jobs in Atlanta, GA

Site Reliability Engineer responsible for maintaining the reliability, availability, scalability, and performance of enterprise automation platforms. Duties include monitoring, incident response, root cause analysis, observability improvements, deployment support, testing, configuration management, release activities, infrastructure automation, and production risk mitigation. The role partners with development and operations teams to improve system stability and operational readiness across automation solutions.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Designs, automates, and optimizes mission-critical PostgreSQL, Oracle, MySQL, and DynamoDB platforms. Builds infrastructure as code, CI/CD pipelines, automated failovers, database tooling, and Kafka-based change data capture and replication frameworks. Partners with systems engineers, developers, and architects to deliver resilient, high-performance, event-driven data infrastructure. Maintains monitoring, alerting, security, access controls, query optimization, and real-time data availability across AWS environments.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Supports semiconductor wafer fabrication process integration by troubleshooting yield and performance issues, investigating root causes, assisting tool qualification and validation, performing failure analysis, monitoring SPC charts, analyzing MES data, coordinating production lots, and contributing to continuous process improvement.

Architect, build, and scale Parade’s foundational platform infrastructure supporting high-volume logistics transactions and AI systems. Own Kubernetes, cloud, Terraform, CI/CD, observability, networking, security, and distributed asynchronous workloads. Partner with engineering, product, and data teams to improve reliability, scalability, automation, and developer velocity across a fully remote organization.

Designs, deploys, and maintains scalable, secure AWS infrastructure for customer projects, including migrations, landing zones, containerized applications, serverless systems, and infrastructure as code. Builds CI/CD automation, monitoring, logging, disaster recovery, and security controls; optimizes cost and performance; troubleshoots Linux, Windows, Kubernetes, and AWS environments; documents solutions; and communicates with clients and cross-functional teams throughout delivery engagements.

Designs, secures, operates, and scales AWS infrastructure and container platforms. Administers Linux, Windows Server, Nutanix, Rancher, ECS Anywhere, SMTP relays, and SSL/TLS certificates. Builds infrastructure as code and automation using CloudFormation, Python, PowerShell, Bash, and AWS Systems Manager. Maintains monitoring, alerting, reliability, and compliance support for HITRUST and SOC 2. Participates in on-call support and works independently across cloud engineering, systems administration, and business priorities.

Leads end-to-end Salesforce data migration and integration initiatives. Designs ETL processes, writes SQL and SOQL queries, develops automation scripts, performs data profiling and transformation, and ensures data quality, security, governance, and reconciliation. Collaborates with Salesforce, integration, and business teams on cutovers, resolves migration issues, documents procedures, and delivers scalable data solutions using automation and AI-enabled tools.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Lead the architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drive innovations in scalability, performance, security, durability, and efficiency while collaborating with AI researchers and cloud infrastructure teams. Mentor engineers, guide technical strategy, and help shape Azure Blob Storage into an AI-native platform supporting zettabyte-scale storage.

Designs and manages cloud infrastructure across development, staging, and production using Terraform and AWS. Builds containerized environments with Docker, ECS, and Kubernetes; develops CI/CD pipelines; manages networking, routing, APIs, WAF, monitoring, and autoscaling. Troubleshoots infrastructure and deployment issues, optimizes performance and reliability, and collaborates with development and QA teams. The role also supports cloud-agnostic architecture, observability, Linux administration, and automation scripting.

Build and operate secure, cloud-native payment systems supporting card, alternative payment, tokenization, fraud, settlement, and reconciliation workflows. Develop APIs and event-driven services, integrate payment processors, manage Kubernetes and service mesh infrastructure, improve reliability and transaction performance, and maintain observability. Participate in on-call rotations, incident reviews, security and compliance activities, CI/CD improvements, documentation, and cross-functional delivery. Requires software engineering experience, payment systems expertise, cloud knowledge, secure coding practices, and familiarity with PCI DSS.

Develop and maintain software while supporting cloud engineering operations, automation, troubleshooting, code review, and deployment quality. The role works with Azure and AWS, scripting tools, networking, container platforms, and build and release processes. Responsibilities include implementing technical solutions, improving system performance and business processes, mentoring developers, identifying risks, and collaborating with cross-functional engineering, QA, product, and business teams.

Leads and mentors software engineers while designing, architecting, developing, and delivering scalable web applications. Owns technical solutions from requirements through implementation, conducts code reviews, resolves complex issues, and enforces quality, security, and performance standards. Collaborates with product, architecture, and QA teams on Agile delivery, release management, and DevOps practices. Uses cloud platforms, CI/CD, and modern frontend and backend technologies to build secure software, potentially within regulated medical-device environments.

Leads Magnit’s migration from on-premises infrastructure to AWS-based cloud platforms and builds an internal developer platform using Kubernetes, GitOps, CI/CD, and infrastructure as code. Oversees cloud foundations, reliability, observability, security, networking, FinOps, vendor management, and data center exit activities. Establishes SRE practices, drives platform adoption and developer experience, and leads global cloud, platform, SRE, and network engineering teams while partnering with executives and cross-functional organizations.

Design, build, and operate highly available, high-throughput backend services for Twilio SendGrid. Modernize Go-based microservices, manage dual-cloud AWS/Azure infrastructure with Terraform, improve observability and reliability, mentor engineers, and balance feature delivery with platform refactoring.

Design, develop, and scale mission-critical backend applications and distributed services. Build Python and Celery services, FastMCP services, Docker Swarm environments, and horizontally scalable architectures. Optimize Couchbase and NoSQL data systems, troubleshoot Linux-based distributed environments, and apply cloud-native AWS practices. Collaborate cross-functionally to deliver secure, reliable solutions while using spec-driven development and AI coding tools.

Develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product teams, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security and privacy practices, and root-cause analysis. Use approved AI-assisted development tools responsibly across coding, testing, debugging, documentation, and delivery while maintaining accountability for software quality, reliability, performance, and maintainability.

Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.