Top Python Jobs in Atlanta, GA

Participate in Mastercard’s 18-month Launch Program by designing, developing, testing, debugging, and deploying scalable software solutions. Write maintainable code, create automated tests, apply secure coding practices, participate in code reviews, and resolve issues using development tools and documentation. Work with experienced engineers through structured onboarding and mentorship while contributing to globally impactful technology platforms.

Software Engineering Interns will contribute to live, scalable software projects; write maintainable code; support feature design, development, testing, debugging, and enhancements; create automated tests; apply secure coding practices; participate in code reviews and agile ceremonies; and collaborate with product managers, designers, and engineers. Responsibilities and technologies vary by team.

Build and operate foundational infrastructure for PagerDuty’s real-time platform, including networking, compute, Kubernetes, and ingress systems. Improve reliability, scalability, and security; monitor system health through metrics, logs, and alerts; participate in 24/7 on-call rotations; support infrastructure rollouts; and contribute to agile planning and technical improvements.

Build, operate, and improve PagerDuty’s foundational infrastructure, including networking, compute platforms, Kubernetes clusters, and ingress systems. Harden and scale cloud-native systems, monitor health through metrics and logs, support infrastructure rollouts, and participate in 24/7 on-call incident response. Collaborate through agile processes and recommend innovative tools and approaches to improve reliability, scalability, and security.

Leads software engineering for cloud financial management products, providing technical direction and developing secure, scalable production code. Modernizes front-end applications with React, improves CI/CD and automated testing, and integrates AI-assisted engineering practices responsibly. Influences architecture, product design, and operational processes; resolves recurring issues through automation; contributes to SDLC governance; and evaluates vendor and startup solutions. Requires strong Java or Python skills, cloud-native experience, financial services knowledge, and expertise in application resiliency and security.

Provides technical leadership across Cox Automotive products by defining architectural vision, designing scalable solutions, modernizing platforms, reducing technical debt, and guiding multiple delivery teams. The role focuses on AWS-native architecture, API delivery, distributed systems, databases, DevOps, and generative AI initiatives. Responsibilities include creating architectural roadmaps and diagrams, evaluating emerging technologies, aligning stakeholders, sequencing investments, and establishing reusable platform and API standards.

Owns architecture and technical direction for enterprise AI platforms, AWS Quick integrations, and an internal AI Artifact Hub. Leads development of connectors, agents, knowledge retrieval, MCP servers, data pipelines, quality systems, observability, and resilient distributed workflows. Guides Python engineering, architecture reviews, incident response, and cross-functional alignment with security, cloud, enterprise architecture, and AWS teams. Establishes standards for AI evaluation, governance, reliability, and verification-first development.

Build and govern enterprise AI platform integrations on AWS Quick, including connectors, authentication, ingestion pipelines, agents, access controls, DLP, observability, cost tracking, evaluation frameworks, and feedback APIs. Improve the AI Artifact Hub, ensure reliability and security, mentor engineers, review designs, and collaborate with domain teams and AWS technical staff. Participate in on-call support and guide architecture and engineering standards.

Build and maintain enterprise AI connectors, APIs, data pipelines, agent skills, and platform tooling using Python and AWS. Develop features end to end, implement secure access controls, integrate third-party services, and support AI evaluation systems. Maintain CI/CD pipelines and Terraform infrastructure, monitor production systems, document solutions, and participate in on-call support. Collaborate with senior engineers while developing expertise in RAG, embeddings, agent orchestration, MCP, and responsible AI platform engineering.

Lead solution architecture for merchant payments: configure products, support sales on pricing and pipeline, define product requirements, document client use cases and integrations, drive interoperability/testing, collaborate cross-functionally, and provide technical guidance to clients and internal teams to increase product adoption and scalability.

Lead platform and developer experience initiatives that improve engineering velocity, reliability, and system performance. Build reusable Node.js, TypeScript, Nest.js, and React.js patterns; optimize PostgreSQL and Kafka systems; manage Kubernetes and ArgoCD deployments; modernize legacy code; improve CI/CD and observability; and mentor engineers. Translate ambiguous technical challenges into roadmaps, lead cross-team architecture work, and strengthen engineering practices through coaching, documentation, and workshops.

Build and operate reliable cloud infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Improve platform security, observability, scalability, disaster recovery, and cost efficiency while reducing manual operational toil. Lead incident response, modernize legacy infrastructure, improve DORA metrics, and partner with engineering teams to deliver resilient systems. The role also involves documenting platform practices, introducing tooling, and driving adoption across teams.

Lead architecture, full-stack development, and delivery across web, mobile, backend, and AWS serverless platforms. Design event-driven systems, APIs, CI/CD pipelines, infrastructure as code, observability, and deployment strategies. Prototype and validate solutions using Claude, Amazon Bedrock, and other GenAI tools. Provide technical leadership, review designs and code, resolve production issues, mentor engineers, establish AI engineering practices, and participate in rotational on-call support.

The ERP Application Developer supports design and implementation of applications, ensuring reliable systems, conducting testing and support, and managing stakeholder communication.

The Senior Application Developer leads ERP solution design and implementation, ensuring technical execution aligns with business needs. Responsibilities include application configuration, development, support, and stakeholder management while mentoring junior team members.

Design, develop, and maintain digital technology infrastructure supporting applications; automate deployment processes; collaborate with teams; improve software quality and performance.

Design, build, and govern enterprise observability and resilience patterns. Integrate and develop tooling (ServiceNow ITOM hub, CloudWatch, New Relic, Splunk, SolarWinds, PagerDuty), implement synthetic tests and automation, use AI/LLMs for detection and response, establish spec-driven standards, reduce toil via automation, own production monitoring and incident response, and partner with engineering teams to drive adoption and platform improvements.

Designs, develops, tests, maintains, and supports secure production software and cloud infrastructure. Builds scalable, resilient microservices and APIs, works with databases and event-driven systems, and delivers through Agile, Git, automated testing, and CI/CD practices. Participates in architecture decisions, observability, incident response, code reviews, and rotating on-call support. Owns ambiguous work through release, decomposes tasks, mentors teammates, and communicates with technical and non-technical stakeholders.

Leads development, modernization, and production support for enterprise IBM iSeries applications using RPG and Python. Serves as the Level 3 escalation point for critical inventory and transaction systems, resolving complex incidents, driving root-cause improvements, and ensuring operational continuity. Provides technical leadership across engineering teams, defines standards and architecture, supports integrations, mentors engineers, and partners with business and product stakeholders on modernization, reliability, observability, and AI adoption initiatives.

Design and implement real-time C/C++ software for RF sensor signal-processing systems. Develop and optimize CUDA GPU algorithms, translate MATLAB and Python prototypes, architect open-architecture components, and integrate software on embedded multi-core CPU/GPU platforms under strict latency requirements. Create tests and benchmarks, document designs, support technical reviews and proposals, collaborate across engineering teams, and travel approximately 20% for integration, customer meetings, and field demonstrations.

Lead small multidisciplinary teams to design, integrate, and test RF and sensing systems (antennas, transceivers, positioners, front-end/back-end hardware and software). Define requirements, perform trade studies, develop verification and test plans, run over-the-air demonstrations, analyze performance via simulation and measurement, troubleshoot subsystems, and produce design documentation and reports for transition to low-volume products.

Lead enterprise-scale cloud modernization and migration programs to AWS, design end-to-end architectures (including AI agent integration), define AI-native engineering standards, mentor engineering teams, implement IaC and CI/CD, enforce security and governance, and deliver measurable business value through technical strategy and execution.

Lead and manage software engineering teams to design, build, and integrate enterprise applications. Drive coding, testing, code review, CI/CD practices, and mentor staff while overseeing project planning, budgeting, and client delivery to meet timelines and quality standards.

Build and expand Cloudflare's global datacenter network: coordinate installations, manage hardware and contractors, implement consistent processes, perform Linux administration, use configuration management and scripting, and collaborate with SRE and Network Engineering to improve operations and automation.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.