Top Perl Jobs in Raleigh, NC

The Lead Infrastructure Engineer will design, implement, and support enterprise data management systems, focusing on ETL processes with advanced Informatica expertise, while ensuring successful operational performance.

The Senior Customer Success Engineer provides enterprise-level technical support to customers, focusing on diagnosing issues with Rubrik's data management products and solutions, ensuring customer success, and managing complex support cases.

The Senior Customer Success Engineer provides enterprise-level technical support, diagnosing and resolving complex issues related to data management and security for customers and partners, ensuring timely solutions and customer satisfaction.

The Senior Customer Success Engineer provides technical support for data management solutions, addresses complex customer issues, and collaborates with cross-functional teams to enhance customer satisfaction and product adoption.

As a Big Data DevOps Lead, you will oversee Big Data infrastructure, coordinate initiatives, ensure reliability, and support operational tasks.

As a Senior Database Engineer at Cisco Meraki, you will manage PostgreSQL infrastructure, optimize database systems, and lead best practices for data usage across teams.

As a QA Engineer II, you will analyze requirements, develop test plans and cases, collaborate with teams, and ensure software quality through various testing methods.

The Senior Integration Platform Engineer will design and implement global integration solutions, promote automation, and ensure configuration management of integration platforms.

This role involves performing manual and automated penetration testing, managing findings, collaborating with teams on security assessments, and advocating for security best practices.

Senior Customer Success Engineers provide enterprise technical support, resolving complex data management issues, troubleshooting networking, and enhancing customer experiences with Rubrik solutions.

The Senior Workato/Mulesoft Integration Engineer will develop, support, and automate integrations across business systems to enhance operational efficiency and profitability.

The role involves incident response, malware analysis, system administration, and communication with clients to ensure cybersecurity support.

The role involves leading network reliability engineering efforts, improving network performance, developing monitoring tools, and resolving incidents.

As a Principal Engineer in Design Verification, you will develop verification environments, write test plans, debug failures, and maintain software tools for SoC designs.

As a Senior ASIC Verification Engineer, you will verify GPU hardware through unit level testbench work, collaborate with teams, and support validation activities.

Drive timing analysis and closure of GPUs, CPUs, and SoCs. Improve timing convergence flows and interact with cross-functional teams.

As a Principal Engineer at Marvell, you will lead and execute DFT on complex ASIC/SoC designs, mentor a team, and enhance DFT methodologies.

The Senior System Engineer will manage Qualys platforms, ensure 24/7 support, oversee infrastructure, and drive improvements in service quality metrics.

The role involves verifying mixed signal designs, developing methodologies, architecting testbenches, and collaborating closely with design teams on verification processes.

Lead timing closure for complex designs while collaborating with cross-functional teams and developing automation scripts to enhance workflows.

As a Senior ASIC Verification Engineer, you'll verify GPU designs, develop verification infrastructure, and collaborate with teams on architecture and implementation.

Responsible for verifying ASIC designs, developing verification infrastructure, collaborating with teams, and planning verification strategies for projects.

The Senior Staff Physical Design Engineer will lead physical design processes for high-performance processor chips, enhancing design methodologies and ensuring optimal performance, power, and area targets are met.

Design and deploy machine learning techniques to enhance infrastructure efficiency, improve GPU build flow, and ensure peak performance of hardware design environments.

Develop and enhance GPU architecture, parallel processing algorithms, and software for simulators. Collaborate with teams to validate graphics performance.