Top Python Jobs in Atlanta, GA

Designs and automates software testing for business intelligence, data warehouse, reporting, and ETL projects. Develops SQL and Python validation routines, tests Snowflake and Microsoft SQL Server data, verifies SSRS, Tableau, and Sigma reports, and enhances Talend ETL test frameworks. Documents results, resolves data discrepancies with stakeholders, participates in Agile ceremonies, and mentors junior engineers.

Staff Engineer responsible for setting the technical direction of an enterprise cloud platform. The role architects and builds Azure-based, service-oriented solutions, establishes engineering and AI-assisted development standards, leads prototypes into production, and advances platform security, reliability, scalability, and compliance. Responsibilities include mentoring engineers, guiding architectural roadmaps, partnering across product and business teams, and applying Claude and other AI tools responsibly throughout the software development lifecycle.

Design, automate, operate, and improve Cargill's global SD‑WAN and WAN infrastructure (initially Versa). Lead network design, troubleshooting, security, maintenance, disaster recovery, performance monitoring, and develop automation tools and IaC for scalable, resilient networks.

Manage and automate AWS infrastructure across multiple accounts, build GitHub Actions CI/CD pipelines, deploy containerized services on ECS and Vercel, and maintain monitoring, security, networking, backups, and disaster recovery. The role also requires troubleshooting availability and performance issues, optimizing cloud costs, managing IAM and secrets, supporting compliance, coordinating vendors, and collaborating with distributed engineering teams.

Develop and maintain mathematical optimization and simulation models for supply chain software. Analyze datasets, apply statistical and machine learning techniques, integrate algorithms with software platforms, troubleshoot customer issues, document technical solutions, and collaborate on cross-functional projects. The role focuses on inventory, forecasting, production planning, logistics, and continuous improvement of scalable optimization tools.

Designs, administers, monitors, secures, and optimizes Microsoft SQL Server, MySQL, and PostgreSQL databases across on-premises and Azure environments. Responsibilities include backup and recovery, high availability and disaster recovery, incident response, performance tuning, automation, documentation, and support for application teams. Participates in on-call rotations and planned maintenance, with limited travel potentially required.

Own the reliability, performance, and scalability of an Ubuntu/Linux platform powering autonomous ground vehicles. Build real-time OS images, optimize ROS 2 middleware, develop sensor and vehicle-interface drivers, maintain networking, implement observability, and improve CPU/GPU performance. Harden systems with security patches, secure boot, and OTA updates. Manage CI/CD for OS and driver packages, support field deployments, and document platform best practices.

Design, build, test, and deploy web and backend processing applications and real-time APIs for payments. Troubleshoot production issues, collaborate with business and QA, write unit/integration tests, propose technical solutions, and support deployment and refactoring.

Develops, deploys, and maintains complex responsive web applications, databases, APIs, and geospatial solutions for public health and federal government clients. Responsibilities include feature development, requirements analysis, database administration, scripting and automation, performance tuning, security configuration, user management, troubleshooting, documentation, and creation of interactive mapping products. The role follows Agile DevOps practices and requires collaboration with analysts, epidemiologists, business owners, and technical teams.

Serve as the primary technical resource for enterprise manufacturing accounts, designing and deploying integrations between Oden and factory systems. Build connector libraries, configure AI and ML solutions, troubleshoot distributed systems and data pipelines, analyze large datasets, and support customer deployments. Partner with customers, Data Science, Product, and Engineering teams to manage technical risks, improve platform capabilities, and document repeatable implementation practices. Travel to customer sites approximately 25–40%.

Supports development, implementation, integration, and testing of flight software and guidance, navigation, and control algorithms for uncrewed high-speed aircraft. Responsibilities include control-law tuning and validation, simulation and hardware-in-the-loop testing, subsystem software interfaces, test-data analysis, troubleshooting, and cross-functional collaboration across software, GNC, avionics, and vehicle engineering teams.

Architect and develop reliable, secure, fault-tolerant enterprise platforms using Java, Python, cloud-native services, APIs, integrations, and AI technologies. Lead architecture decisions, coding, debugging, performance tuning, code reviews, production readiness, and technical delivery. Establish reusable engineering standards, observability, CI/CD, resiliency, and operational practices while mentoring engineers and coordinating cross-functional teams.

Support integration, testing, debugging, and troubleshooting of mission hardware and software, including avionics, sensors, radios, processors, communications, and command-and-control systems. Develop software interfaces for telemetry and subsystems, assist with hardware/software bring-up in laboratory, hardware-in-the-loop, ground-test, and aircraft environments, document technical findings, and collaborate with multidisciplinary engineering and flight-test teams.

Supports integration, validation, release, deployment, and production troubleshooting for platforms spanning applications, services, databases, APIs, and third-party systems. Conducts end-to-end validation, readiness assessments, smoke testing, health checks, and root-cause analysis. Develops scripts and automation for testing and environment validation, maintains release documentation, and collaborates with development, QA, DevOps, infrastructure, business, product, support, and vendor teams.

Design, deploy, secure, and manage scalable AWS cloud infrastructure and cloud-native platforms. Develop Terraform-based Infrastructure as Code, reusable cloud patterns, automation, monitoring, security controls, and compliance guardrails. Collaborate with stakeholders, manage the product backlog, optimize performance and costs, troubleshoot systems, document platforms, and mentor technology teams. Support hybrid and multi-cloud initiatives, legacy modernization, and CI/CD automation using Python, PowerShell, Bash, and related tools.

Lead a mainframe storage engineering function supporting highly available IBM Z compute and storage platforms. Configure IBM DS8000 and TS7700 infrastructure, manage DFSMS storage policies, backups, replication, disaster recovery, capacity planning, and REXX automation. Troubleshoot outages and dataset access issues, conduct root-cause analysis, and execute complex storage migrations. The role requires expertise in z/OS storage utilities, tape management, FICON, replication protocols, resiliency technologies, and storage performance.

Build, integrate, test, and deploy healthcare technology prototypes and product extensions for strategic customers. Translate clinical and operational problems into measurable use cases, working software, and scalable product capabilities. Apply healthcare interoperability standards, AI-enabled workflows, secure SDLC practices, observability, automated testing, and responsible AI principles. Collaborate with customers, Product, Engineering, clinical, security, privacy, legal, and compliance teams to validate outcomes and convert field learnings into reusable APIs, connectors, architectures, and roadmap priorities.

Design, build, and maintain highly available application platforms with strong observability and reliability practices. Responsibilities include defining SLIs and SLOs, managing error budgets, improving alert quality, automating operational processes, reviewing architectures, and supporting incident response. The role also develops AI-assisted reliability tools using LLMs and machine learning for anomaly detection, root-cause analysis, and alert triage. It requires collaboration across engineering, operations, and product teams, along with technical knowledge sharing and leadership communication.

Supports hardware-in-the-loop test benches and real-time simulation environments for flight software and vehicle systems. Responsibilities include configuring and troubleshooting test infrastructure, developing automated tests, expanding regression coverage, maintaining hardware and software configurations, debugging integrated systems, analyzing test results, documenting procedures, and collaborating with flight software and engineering teams.

Develop and validate embedded modem-control software for optical networking products. Responsibilities include designing networking features, troubleshooting and debugging software issues, identifying root causes, delivering fixes, and collaborating with cross-functional teams to test next-generation modem technologies. The role involves developing expertise in optical transport and switching technologies while documenting reliable solutions for service-provider networks.

Develop and maintain OpenBMC firmware features, support platform bring-up, porting, migration, integration, debugging, and upstream changeset adoption. Implement and validate management protocols and hardware interfaces, troubleshoot firmware-hardware issues, and collaborate with platform, hardware, and validation teams through testing and release activities.

Participate in a 12-month software engineering graduate program with two rotations across big data, AI, SRE, DevOps, and security engineering. Responsibilities include writing specifications, implementing code, conducting reviews, fixing bugs, applying test-driven development, gathering requirements, resolving technical issues, and learning software methodologies, data manipulation languages, and data modeling. Participants receive mentorship, training, and exposure to AWS and Azure.

A 12-month graduate software engineering program consisting of two six-month rotations across big data, AI, SRE, DevOps, and security engineering. Participants write and review specifications, implement code, perform code reviews and bug fixes, apply test-driven development, gather requirements, resolve technical issues, and learn cloud technologies including AWS and Azure. The role includes mentorship, training, and collaboration with stakeholders while contributing to software products serving insurance, healthcare, and government markets.

Lead hands-on development and architecture for edge computing solutions, including Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. Drive cloud and hybrid architecture, architecture reviews, observability, security, reliability, and operational excellence while mentoring engineers and influencing cross-functional teams.

Leads the design and delivery of edge computing solutions, including distributed architectures, Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. The role also guides architecture reviews, cloud and hybrid scalability, security, observability, reliability, and engineering best practices while mentoring engineers and influencing cross-functional teams.