Top Engineering Jobs in Atlanta, GA

Designs, develops, and integrates business applications across Dynamics 365, Power Platform, Azure, and custom Microsoft-stack solutions. Responsibilities include solution architecture, application customization, APIs and event-driven integrations, platform modernization, ALM, CI/CD, deployment pipelines, and production support. The role also establishes engineering standards, evaluates technologies, collaborates with technical and business teams, and mentors junior staff.

Develop and customize Salesforce solutions using Apex, Visualforce, Lightning, Aura, SOQL, JavaScript, and triggers. Configure Salesforce objects, workflows, reports, dashboards, security, and administration across Sales, Service, and Community Cloud. Build integrations using REST, SOAP, WSDL, and Salesforce APIs; manage data migration, testing, troubleshooting, and deployments. Collaborate with U.S.-based business and IT stakeholders while supporting production systems.

Provides advanced technical support for robotic systems during commissioning and 24/7 customer operations. Diagnoses hardware, software, controls, Linux, network, and automation failures; analyzes logs and telemetry; develops integrations and support workflows; leads major incidents; coordinates engineering, field service, and customer teams; manages cases and corrective actions; validates AI-assisted diagnostics; and mentors engineers while improving system reliability and recovery times.

Designs, develops, tests, documents, maintains, and supports JD Edwards EnterpriseOne applications and environments. Responsibilities include unit testing, system monitoring, technical documentation, application troubleshooting, customer support, and coordinating development projects across IT. The role requires EnterpriseOne programming experience, development toolkit expertise, and familiarity with applications, UBEs, TCs, BSFNs, NERs, UDOs, and interfaces.

Build and ship full-stack product features across HR-facing and employee health insurance platforms. Partner directly with stakeholders, own product decisions, integrate LLM-driven agents and experiences, maintain code quality, improve observability, and help establish the technical foundation using modern AI development tools.

Lead a hands-on platform engineering function spanning full-stack product development, real-time Kafka and ClickHouse data/ML pipelines, cloud infrastructure, DevOps, security, and reliability. Own React, Node.js, and MongoDB applications; Terraform, Kubernetes, AWS/GCP, Docker, and GitHub Actions; production observability and incident response; and SOC 2 readiness. Establish AI-assisted engineering workflows using tools such as Claude Code and Cursor while replacing vendor-built infrastructure with durable internal automation.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Develops and reviews process flow diagrams, P&IDs, shutdown and permissive tables, operating manuals, and procedures. Leads technical review meetings, resolves multidisciplinary design issues, and supports plant reliability, operability, hazard, and safety reviews. Coordinates with engineering disciplines and customers to ensure compliant plant design, improves work processes and standards, and mentors less experienced engineers. The role requires extensive process design experience and strong chemical or mechanical engineering knowledge.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.