Top Python Jobs in Atlanta, GA

Develop hybrid mobile applications using Ionic, Angular, and other web technologies. Experience with mobile APIs and client-side frameworks necessary.

The Python Developer will analyze large, complex multidimensional datasets and must possess strong programming and data analysis skills.

Design and implement observability and resilience patterns across the enterprise: build integrations and automation using CloudWatch, New Relic, SolarWinds, Splunk, PagerDuty, and ServiceNow ITOM. Develop synthetic tests, AI-driven detection and automated responses, establish spec-driven operations standards, partner with engineering teams, own production observability and on-call duties, and drive adoption of scalable developer tools and instrumentation.

Design and champion observability and resilience patterns across the enterprise. Build AI-driven detection/response, integrate and administer monitoring tools, write synthetic tests, automate alert responses, own production observability, and partner with engineering teams to reduce incident time-to-resolution.

Lead and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.

Lead enterprise observability architecture and modernization using Splunk and Databricks. Design telemetry ingestion, data lakehouse, AIOps, security analytics, governance, and high-performance log analytics at petabyte scale while mentoring teams and aligning strategy with business and compliance goals.

The Java Developer will perform new development for an enterprise portal application, focusing on secure single-sign on capabilities and APIs in an agile environment with daily stand-ups.

The Senior Back-End Engineer will design and implement backend services and APIs, maintain code quality, and collaborate with front-end developers.

As a Full Stack Senior Software Developer, you will manage the entire lifecycle of software products, collaborating on design, implementation, and maintenance of high-traffic applications and backend systems.

The Senior Data Engineer at Sovos will design and build the Snowflake architecture and dbt models for financial data while ensuring pipeline reliability and data quality standards. Responsibilities include monitoring and managing production pipelines, collaborating with finance stakeholders, and extending data models.

Lead the design and implementation of cloud-native applications, mentor developers, ensure quality standards, and guide technical decisions in client projects.

Join the CAT E&A team to conduct wind vulnerability assessments, research risk evaluations, and develop internal catastrophe models for underwriting decisions.

The Test Engineer will design test plans, debug systems, support customer issues and communicate on project status while collaborating with a distributed team.

Build, deploy, and maintain production-grade integrations and automations (Retool, n8n, Python/Streamlit, Apps Script, SQL). Translate business requirements into technical solutions, partner with Customs BD and operations, own rollout and monitoring, and document solutions for adoption and maintainability.

Design, implement, and maintain scalable serverless backend services for grading and feedback systems using AWS Lambda. Build RESTful APIs and event-driven microservices, optimize performance and cost, maintain CI/CD pipelines (GitHub Actions), troubleshoot production issues, conduct code reviews, and mentor junior engineers while collaborating with QA, Product, UX, and Support.

The Software Engineer designs, develops, tests, and releases applications and integrations for business technology solutions, contributing throughout the software development lifecycle.

The Software Engineer designs, develops, tests, and releases applications and integrations, following SDLC principles and collaborating with teams to enhance technology solutions.

Design, develop, and implement Salesforce solutions; write clean, maintainable code; build and maintain integrations via RESTful APIs; participate in code reviews, testing, troubleshooting, and documentation; collaborate with cross-functional teams and stay current with Salesforce platform updates.

Define and drive reliability for Saviynt's SaaS platform by designing, building, and operating scalable, reusable platform services. Lead Kubernetes platform engineering, multi-region cloud architectures, event-driven systems, CI/CD pipelines, observability, service mesh, and shared relational data services. Provide tooling, APIs, on-call support, and cross-team guidance.

The Lead Data Architect designs and implements data architectures, leads technical teams, and drives innovative solutions to enhance client data management and usage.

Senior Data Engineer at CapTech to design, implement, and maintain data pipelines using cloud technologies and provide technical leadership.

Client-facing solutions architect who scopes, designs, and delivers software integrations and deployments. Analyzes IT architectures, captures requirements, implements and tests integrations (cloud/on-prem), writes integration code, manages technical projects, and collaborates with product, sales, and engineering to ensure successful public safety deployments.

Own end-to-end full-stack features across a Python backend and Angular frontend. Design and scale AWS data systems and data lakes, work with large datasets, and build production AI/ML and LLM-powered features. Partner with product and science, mentor engineers, and support production reliability and performance.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Serve as the primary technical contact for strategic enterprise customers: troubleshoot distributed systems and data pipelines, lead deep-dive sessions, drive incident resolution, translate customer needs into product priorities, create technical enablement assets, and mentor support and customer success teams to improve reliability, scalability, and adoption.