Top Engineering Jobs in Atlanta, GA

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Build and improve HUD’s platform and marketplace for RL training data and evaluations. The Product Engineer will identify user friction, define priorities, design prototypes, and ship full-stack product experiences. Responsibilities include improving agent-run and evaluation workflows, building frontend and backend functionality for onboarding and environment submission, and using user feedback and product signals to iterate. The role requires close collaboration with product, design, engineering, research, and go-to-market teams.

Lead full-stack software development across frontend and backend systems, delivering user-facing healthcare features from concept through iteration. Design APIs and application architecture, write technical specifications, improve testing and CI practices, collaborate with product, AI/ML, clinical, and UX teams, and guide cross-team technical decisions. The role involves React, Python, cloud infrastructure, databases, asynchronous workflows, and healthcare data technologies.

Designs and governs scalable Salesforce and Certinia enterprise architectures, including data models, automation, integrations, security, and platform scalability. Leads implementation of new modules, translates business requirements into technical designs, oversees implementation partners, enforces governance and release standards, resolves complex platform issues, and supports the enterprise technology roadmap across Operations, Finance, and Services Delivery.

Lead the engineering organization for BlueCat’s Network Observability product line. Own technical strategy, architecture, roadmap, delivery, and operational excellence for data-intensive network monitoring platforms spanning SaaS and on-premise deployments. Build AI-driven observability capabilities, modernize legacy systems, establish engineering standards, and develop distributed teams. Partner with product, executive leadership, customers, sales, and support to achieve business goals and resolve strategic technical issues.

Develop and maintain Salesforce applications for Veterans Benefits Administration, including requirements mapping, Apex and Lightning development, MuleSoft integrations, API development, testing, deployment, troubleshooting, documentation, and sustainment. Lead technical solutions, review team code, support Agile delivery, and collaborate with technical and non-technical stakeholders across the development lifecycle.

Leads global engineering teams and multiple EPM product lines through legacy modernization, SaaS and multi-tenant development, AI-enabled software delivery, customer-facing AI feature development, and operational excellence. Owns engineering strategy, quality, reliability, DORA outcomes, security, budgets, vendors, staffing, and organizational transformation while delivering reliable finance applications and cloud migrations.

Build performant, accessible front-end interfaces for AI agents, dashboards, conversational user interfaces, and visualization tools. Collaborate with designers, AI engineers, and backend developers to create scalable components, optimize cross-browser experiences, and iterate on UX using testing, feedback, and usage data.

Designs, implements, and supports secure, highly available IBM MQ and MFT integration environments. Responsibilities include AWS cloud infrastructure, Terraform-based infrastructure automation, Python scripting, CI/CD collaboration, security, monitoring, logging, disaster recovery, troubleshooting, and optimization of enterprise messaging and cloud platforms.