Top Remote Python Jobs in Atlanta, GA

Support and operate customer-facing iLottery and loyalty platforms with focus on Kubernetes (on-prem and cloud), GitOps-driven CI/CD (ArgoCD), container management, observability (Graylog, New Relic, ELK, Prometheus/Grafana), infrastructure automation (Ansible, Terraform), incident response, SLOs, capacity/resiliency planning, security remediation, documentation, and 24x7 on-call support.

Lead platform reliability for a high-volume OMS: drive automation, self-healing, observability, incident management, RCA, performance tuning, and mentor support engineers while partnering with engineering and vendors.

Lead design, automation, and maintenance of highly available AWS infrastructure. Build CI/CD pipelines, manage container orchestration (EKS/Kubernetes), optimize cost and performance, enforce cloud security best practices (IAM, encryption, network controls), maintain infrastructure docs, and configure CDNs for content delivery.

Lead architecture and delivery of enterprise DDI solutions (Infoblox-focused) including migrations, upgrades, re-architecture, and lifecycle engineering. Produce design artifacts, testing and cutover plans, and guide long-term DDI strategy. Support pre-sales with demos, discovery, POCs, solution design, and RFP/RFI responses while partnering with Account Executives to capture new business.

Design, administer, and optimize databases for cloud-native platforms. Support production incidents, evaluate and improve schemas and replication, drive DB architecture choices across AWS/GCP, implement IaC (Terraform) and GitOps, and build repeatable database designs for availability, reliability, and performance.

Lead technical design and execution for product catalog systems, owning onboarding, attribute management, enrichment, validation, and readiness tooling. Build scalable services and data models, drive cross-functional discovery, lead initiatives end-to-end, improve data quality, mentor engineers, and ensure reliability, performance, and observability of catalog workflows.

Build end-to-end fullstack features for Threat Narrative and Email Details, implementing backend APIs, data models, and React/TypeScript UIs. Integrate GenAI/LLM systems to generate explainable narratives, own SLAs/SLOs and observability, participate in design/code reviews, and collaborate with product and cross-functional partners to improve detection explainability and customer-facing experiences.

Own and drive the architecture and roadmap of ClickUp's data platform. Build scalable, reliable data pipelines and AI/ML infrastructure using AWS serverless, Snowflake, dbt, and Terraform. Lead cross-team technical initiatives, optimize cloud costs, establish engineering standards (observability, testing, CI/CD), mentor senior engineers, and influence org-wide architecture decisions.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Leads the architecture, design, implementation, testing, and delivery of backend software for Slate’s digital customer experience. Owns code quality, system reliability, functional and integration testing, and technical decision-making. Collaborates with UX and product teams, leads code and design reviews, simplifies complex solutions, and mentors engineers while supporting career development.

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Lead design and implementation of Azure-based enterprise data integrations and pipelines (Data Factory, Databricks, ADLS Gen2). Build secure REST API integrations, establish engineering standards, mentor developers, implement CI/CD and DevSecOps practices, and produce architecture and operational documentation for a VA/DoD-integrated healthcare modernization platform.

Own and improve cloud infrastructure and CI/CD for a production platform: design IaC (Terraform/CloudFormation), operate AWS services (EKS/ECS/Lambda), implement security and observability, automate operations, lead incident response, and contribute to QA automation and application reliability.

The Senior Power Systems Engineer will lead a team focusing on power systems modeling and analytics, mentor engineers, manage projects, and create various transmission and distribution system models and analyses.

Lead test architect for end-to-end integration testing of a complex genomics product portfolio. Design contract-first validations (OpenAPI/Avro), build resilient API and event-driven test frameworks, embed LLM-driven test generation and log analysis into CI/CD, mentor SQEs, enforce staging guardrails, and run chaos/resiliency experiments across distributed microservices.

Own and evolve Quansight's multi-cloud infrastructure, lead client infrastructure engagements end-to-end, build observability and CI/CD systems, mentor teammates, and dedicate substantial time to contributing and maintaining open-source infrastructure projects.

Designs, maintains, and modernizes production system integrations and customer-hosted Linux infrastructure. Responsibilities include data interfaces, monitoring, troubleshooting, releases, backups, disaster recovery, security, migrations, CI/CD adoption, documentation, customer coordination, and on-call support. The role works with legacy systems in healthcare environments under HIPAA requirements and uses Claude Code for scripting and code review. It requires strong Linux administration, Bash scripting, Git, build and release management, secure data transfer, and production systems experience.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Lead and grow a distributed software engineering team building Azure Kubernetes Service infrastructure. Define architecture, drive design reviews, ensure security, reliability, observability, CI/CD, and operations at scale. Guide implementation, incident response, and continuous improvement while coaching engineers and aligning stakeholders across Azure product teams.

Lead investigation and mitigation of complex distributed storage issues for Azure Managed Disks. Design algorithms for load distribution, monitor system behavior, debug performance and availability problems, collaborate across teams, mentor engineers, act as on-call DRI, and improve observability and reliability at hyperscale.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.