Top Senior Python Jobs in Atlanta, GA

Design and implement complex software solutions for the FedNow service. Lead projects, develop cloud applications, and provide production support while ensuring compliance and quality.

The Quality Assurance Lead will establish QA strategies and frameworks, implement automation, and drive quality metrics across software delivery processes.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

The Senior Enterprise Systems Engineer designs, implements, and secures enterprise systems and cloud platforms while managing security incidents and ensuring system performance and compliance.

The Software Engineer oversees application development and maintenance, monitors system performance, resolves issues, and ensures compliance with regulations and best practices.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Develop, optimize, debug, and refactor code; produce design docs; act as DRI and on-call responder; improve system reliability, observability, and performance; contribute to open-source and collaborate with Microsoft product teams.

The Senior Software Data Engineer will design and optimize cloud-based data pipelines, utilizing Python and AWS services to deliver scalable data solutions, mentor junior engineers, and ensure compliance with security and quality standards.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design, implements data pipelines, ML integration, CI/CD, and reusable assets while embedding with customers to drive measurable outcomes.

The role involves leading a development team, managing project timelines, performing hands-on coding, and aligning technical efforts with business goals.

Design, deploy, scale and automate network infrastructure across national data centers. Implement and enforce network standards, troubleshoot complex IP routing and datacenter networks, and collaborate with automation teams to create repeatable deployment processes.

The Principal Software Engineer will lead the technical direction of Autodesk's Content Platform, focusing on architecture, workflow orchestration, and mentoring engineers while ensuring system reliability and performance.

Design, build, and mature observability platforms to provide telemetry and user-signal visibility. Implement monitoring, alerting, SLOs/SLIs, incident management, automation, and AI-assisted workflows. Partner with engineering/product teams, optimize performance and cost, mentor peers, and drive reliability improvements across services.

As an Endpoint Platform Staff Engineer, you'll design, implement, and manage mobile device management solutions, ensuring security and efficiency across various devices. You'll collaborate on optimizing operations and establishing best practices for endpoint management and automation.

Manage and optimize cloud-based streaming platforms, ensuring high availability and performance for real-time analytics. Collaborate across teams to enhance data pipelines and integrate AI solutions.

Lead design and implementation of internal investment technology platforms and services. Build AWS cloud solutions, integrate systems and APIs, mature CI/CD/DevSecOps, apply AI capabilities, collaborate with architecture/product/security, mentor engineers, and support scalable, secure, developer-friendly platforms.

The Senior Engineer position involves designing and maintaining data workflows, enhancing the ECOS platform, and building scalable automation tools for model delivery in Investments Technology.

The Principal Engineer will lead technical architecture for finance systems, collaborating with teams to design solutions, improve automation, and enhance system support while driving quality and operational excellence.

Designs, builds, and maintains integrations across Microsoft 365, the Power Platform, AI/Copilot, and line-of-business apps. Implements connectors, APIs, authentication patterns, and Copilot Studio agents; ensures security and compliance; drives adoption through documentation, training, monitoring, and iterative improvements; partners with Cloud Services, InfoSec, and business stakeholders.

Develop enterprise-class software for centralized management of hyper-converged data center products. Implement Java backend services (Spring), Python scripting, Cassandra and REST APIs. Collaborate with architects, product, QA, and system test teams in Agile/Scrum, integrate VMware and data-center automation tools, and support firmware/bios update automation.

Develop backend solutions using Python, perform SQL/CRUD database operations, extract/transform/generate files (CSV, XML, JSON, PDF), and implement email integrations. Work in an onsite/offshore model; maintain strong communication and perform reliably under pressure.

The Senior Developer will support shop floor applications in manufacturing, design, develop and support multiple software solutions, and communicate effectively within a fast-paced environment.

The Senior Core Network Engineer will lead core and cloud networking initiatives, ensuring operational stability and resiliency for AIG's global network. Responsibilities include designing scalable network solutions, troubleshooting issues, and collaborating with cross-functional teams.

The Senior DevOps Engineer is responsible for designing, implementing, and supporting scalable cloud-native infrastructures and CI/CD pipelines, ensuring high reliability and performance while mentoring technical teams and promoting DevOps best practices.

Design, build, integrate, and operate full-stack software for a Supervisory Control Platform. Develop frontend/operator UIs, backend services/APIs, and integrate Computer Vision pipelines. Ensure production readiness across cloud and on-prem systems, own quality, observability, and mentor engineers.

Lead design and implementation of enterprise-scale, cloud-ready solutions. Analyze application and data landscapes, define integration patterns, data pipelines, and cloud deployments. Provide technical leadership, architecture reviews, risk assessments, and mentor engineering teams to deliver secure, scalable solutions.