Top Python Jobs in Atlanta, GA

Implement and configure a Palantir Foundry-based operational intelligence platform: build ontologies, Workshop/Slate apps, NLP querying, ingest searchable documents, implement rules-based logic, participate in agile sprints, demo to government stakeholders, produce technical documentation, and support testing and defect resolution.

Lead and execute software tests for KNAPP products and projects, develop test plans/cases, run in-house and on-site testing, create automated tests, document results and anomalies, mentor junior QA staff, report quality metrics, and ensure test environments and processes meet product standards.

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.

Provide enterprise systems support for virtualization and VDI environments, managing VMware infrastructure, Windows/Linux servers, AD/LDAP, scripting (PowerShell/Python), monitoring, SSL certs, and related networking, storage, and backup components.

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

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.

The Deployed Engineer will collaborate with customers to architect, build, and deploy AI agents in production while providing technical advisory support and running demos and workshops.

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.

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.

The Big Data Architect is responsible for managing relationships, overseeing designs and integrations, mentoring teams, and delivering technology solutions.

Perform technical code review and analysis for complex technology disputes, determine code provenance and function, prepare memos and expert reports, rebut other experts, support and prepare testifying experts, manage multiple engagements, review junior staff, and communicate findings to clients and counsel.

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.

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.

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 deployment of Industry 4.0 systems integrating IoT, automation, data analytics, AI, and digital twins to optimize manufacturing processes, predict maintenance, and train staff. Collaborate across IT, AI and operations to align initiatives and drive continuous improvement.

Define and lead an enterprise-level test automation strategy across various layers, focusing on scaling automation frameworks, improving quality, and mentoring engineers. Collaborate on testing AI systems, enhancing CI/CD processes, and reducing flakiness in automation.

Lead architecture, operation, and improvement of cloud data and analytics platforms (Fabric, Snowflake, Databricks). Own CI/CD for data assets, BI delivery (Power BI/Tableau), reliability, monitoring, incident response, security, and governance. Enable teams through standards, runbooks, and onboarding; troubleshoot performance and ensure production stability.

Provide operational support within an Agile environment, automate deployments and configuration (Chef, tests like ChefSpec/Test Kitchen), manage CI/CD (Hudson/Jenkins), revision control (git), scripting (bash, Python/Ruby), deploy and operate AWS infrastructure (CloudFormation), work with big-data services (Cassandra, Elasticsearch), use Docker/Vagrant/Packer, and perform Linux/Apache/Tomcat system administration while collaborating across teams.

The Infrastructure Engineer will manage Azure infrastructure via Terraform, streamline platform operations, support CI/CD, and ensure system health and compliance.

Lead a team to integrate data engineering practices within actuarial processes, developing scalable solutions for insurance pricing and analytics.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.