Top Engineering Jobs in Atlanta, GA

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Develops and executes satellite integration, verification, and validation activities across Flatsat, HWIL, SWIL, and simulator environments. Responsibilities include requirements traceability, test planning, automated TCL scripting for TERMA CCS5, formal test conduction, troubleshooting, data analysis, and test reporting. Supports satellite architecture, CONOPS, interface documentation, and requirements development while coordinating multidisciplinary engineering activities.

Own and evolve Jira, Aha!, and related product and engineering platforms. Configure workflows, permissions, schemas, dashboards, automations, integrations, and reporting while improving governance, data quality, reliability, and adoption. Partner with Product, Engineering, TPM, Finance, and IT teams to translate business needs into scalable systems. Lead implementations, migrations, platform lifecycle management, troubleshooting, documentation, training, and tooling evaluations.

Facilitates process hazard analyses using HAZOP, HAZID, What-If, FMEA, Checklist, and LOPA methodologies. Prepares and reviews technical reports, interprets engineering drawings, documents safeguards and recommendations in PHA software, provides process safety guidance, conducts training, and supports clients globally. The role is remote, part-time and flexible, with up to 50% travel, including international travel, and requires strong client communication and process safety expertise.

Architect, deploy, and operate highly available multi-cloud infrastructure across AWS and Azure. Manage Kubernetes, Linux systems, databases, caching platforms, CI/CD pipelines, infrastructure as code, observability, security, incident response, and performance optimization. The role also requires automation with Python and Bash, comprehensive documentation, client collaboration, and participation in a 24/7 on-call rotation.

Designs and delivers complex automated material handling solutions involving conveyors, sortation, pallet handling, AS/RS, robotics, and integrated systems. Responsibilities include customer requirements analysis, system layouts, mechanical drawings, throughput modeling, technical proposals, cost estimates, documentation, supplier coordination, site visits, technical reviews, project support, and mentoring engineers. The role requires deep material handling experience, strong technical writing, knowledge of industrial controls and safety standards, and proficiency with AutoCAD and Microsoft Office.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Designs, builds, and operates secure, scalable cloud infrastructure, deployment pipelines, and operational systems. Owns infrastructure architecture, provisioning, CI/CD, infrastructure-as-code, automation, observability, reliability, cost optimization, and incident response. Leads SRE practices, resolves complex production issues, supports distributed systems and microservices, and collaborates with Product and Engineering teams. Participates in on-call rotations and drives durable solutions that improve platform availability and performance.