Top Senior Python Jobs in Atlanta, GA

Design, govern, and optimize Azure cloud architecture and landing zones. Provide technical leadership across compute, networking, storage, identity, security, and AVD. Drive IaC, CI/CD (GitHub Actions/Azure DevOps), automation, cost optimization, monitoring, and disaster recovery. Mentor teams and communicate architecture decisions to stakeholders.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground vehicles in airport airside environments. Drive architecture and algorithm selection, prototype optimization- and learning-based planners, collaborate with perception/localization/controls teams, promote safety and engineering best practices, and mentor engineers.

The Sr Systems Compute & Storage Engineer VP is responsible for managing Linux servers, enterprise storage, and VMware systems, ensuring operational efficiency and security compliance while driving automation and collaboration across teams.

As a DB2 Database Administrator, you will optimize performance, ensure reliability, support production systems, mentor junior engineers, and participate in disaster recovery planning.

Maintain, enhance, and modernize core payment processing platform capabilities. Deliver customer and regulatory mandates, resolve production incidents, support cloud migration and observability, drive automation, testing, and knowledge transfer while mentoring engineers.

Design, build, and deploy a next-gen model production platform for credit risk. Architect and develop Python-based solutions integrating Pandas/Polars, FastAPI, containerization (Docker, Kubernetes, Helm), Airflow, and databases. Support model implementation, orchestration, DevOps, SQL development, and regulatory/compliance considerations while collaborating across teams.

Build, deploy, and support full-stack applications and integrations for AEC workflows. Develop API-first back ends, modern React/TypeScript front ends, Azure-hosted solutions, CI/CD pipelines, and observability. Partner with stakeholders, implement secure development practices, use AI-assisted tools responsibly, guide architecture decisions, and mentor teammates to improve reliability, performance, and user experience.

The role involves designing infrastructure for distributed architectures, managing CI/CD pipelines, collaborating with engineering teams, securing cloud and application layers, and enhancing automation and developer productivity.

Design, deliver, and maintain a high-performance application platform. Automate processes, improve customer experience, and implement observability tools. Collaborate with teams to manage SLIs, SLOs, and ensure application performance.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.

Design, develop, and execute automated tests and frameworks for functional, regression, integration, end-to-end, and performance testing across web, API, and system workflows. Integrate tests into CI/CD pipelines, collaborate with cross-functional teams on test plans, analyze results, report defects, and improve automation coverage and observability to support high-volume payment processing delivery.

Lead and mentor DBAs while ensuring availability, performance, backup/recovery, HA/DR and security of mission-critical databases. Drive tuning, replication, upgrades, automation, deployments, incident troubleshooting, and tool assessments across production and non-production environments. Participate in on-call rotation and collaborate with developers and IT teams to implement scalable database solutions.

Lead architecture and implementation of Spring Boot microservices and cloud/serverless solutions. Own CI/CD and DevOps, design event-driven systems (SNS/SQS, EventBridge, Kafka), mentor engineers, drive cross-team technical direction, reliability, performance, and hiring/architecture standards across products.

Lead and grow a software and quality engineering team, contribute hands-on to the codebase (Java, TypeScript, Python), design event-driven architectures (Kafka, AWS messaging), drive AI-first practices, ensure operational excellence (SLOs, monitoring, incident response), and partner with product to deliver high-quality, secure, scalable features.

Design, implement, and secure scalable cloud infrastructure across AWS and OCI; manage CI/CD (GitHub Actions), Kubernetes and ECS clusters (including GPU workloads); integrate observability (Datadog, Grafana, OpenTelemetry, Sentry); enforce security and compliance (SOC2, ISO 27001); handle DevOps/SRE intake, vulnerability response, and migrations from EKS to OKE.

Lead and build cloud-based meteorological tools and workflow automation, integrating AI and traditional software to improve 24x7 forecast operations; evaluate and deploy trustworthy AI, manage multiple concurrent projects, modernize legacy systems, and partner with meteorologists to deliver reliable production solutions.

Design, build, and maintain scalable AWS infrastructure and EKS-based Kubernetes clusters. Implement Infrastructure as Code with Terraform, manage CI/CD (Bitbucket Actions, Jenkins, ArgoCD), automate with Python, ensure observability (New Relic, CloudWatch, Elastic), participate in on-call/incident response, and drive reliability, security, and developer experience across teams.

Lead design and implementation of enterprise observability across logs, metrics, traces, and events. Architect telemetry pipelines using Splunk, Dynatrace, Cribl and OpenTelemetry, drive automation and cost optimization, promote SRE and governance standards, and provide technical leadership and mentoring to engineering teams.

Provide 24x7 operational ownership for Saviynt's Enterprise Identity Cloud. Troubleshoot AKS/EKS and Java/Grails application performance, analyze databases (RDS/MySQL), manage monitoring/alerts (Elasticsearch, Grafana), handle incidents via FreshService, coordinate maintenance, guide junior engineers, communicate with customers, and drive automation and runbook improvements to meet SLAs.

Design, build, and operate a massively scalable, distributed Azure-based usage billing platform. Work full-stack across service management, deployment, monitoring, security, performance, tooling, and Livesite to ensure accurate usage capture, aggregation, processing, and reliable billing at cloud scale.

Lead architecture, automation, and operational support for Azure infrastructure and platform services. Drive cloud migrations and application modernization, design CI/CD and IaC, support Snowflake/Databricks, implement containerized/Kubernetes solutions, establish monitoring and incident response, and mentor engineers on DevOps and platform best practices.

Design, build, and maintain cloud and on-prem infrastructure powering autonomous vehicle software. Own CI/CD, IaC, container orchestration, automation, observability, and deployment pipelines; collaborate with autonomy and systems teams, troubleshoot production issues, and mentor engineers to improve reliability and scalability.

Lead systems and safety engineering for autonomous airside vehicles: design and V&V system architecture, build safety cases, define safety goals and requirements, create traceable requirements and KPIs, develop data pipelines for V&V, identify risks and mitigations, and establish engineering standards. Collaborate cross-functionally and support deployment; travel up to 25%.

Lead engineering and automation for large-scale AWS-based applications: build and improve CI/CD pipelines, create IaC standards (CDK/Python), manage container platforms, monitor infrastructure, integrate security and testing into deployments, automate manual processes, and participate in on-call and release activities supporting 24x5 operations.

Design, build, and maintain observability, monitoring, and alerting for cloud and on-prem systems. Develop reliability dashboards and automation, troubleshoot distributed systems, support CI/CD pipeline reliability, participate in incident response and root-cause analysis, and collaborate with engineering and run teams to improve service reliability and operational processes.