Masters Computer Science Jobs in Raleigh, NC (NOW HIRING)

We are seeking a Software Engineer to design, build, and maintain scalable cloud-based platforms and services. This role combines software development with platform reliability and automation, focusing on building resilient distributed systems, improving operational efficiency through automation, and ensuring high availability and performance of cloud infrastructure. The engineer will collaborate with senior engineers and crossfunctional teams to develop software, infrastructure tooling, and observability capabilities that support internal and external customers.  

Responsibilities 
Design, develop, test, and maintain software components and services for cloud computing platforms. 
Translate business and client requirements into technical specifications and scalable software solutions. 
Build and enhance scalable distributed systems and platform services running in cloud and containerized environments. 
Develop automation and infrastructure tooling using languages such as Python, Shell, or similar technologies to support deployments, validation, and operational workflows. 
Implement and maintain containerized workloads and orchestration platforms such as Kubernetes (including onprem and Rancher Kubernetes environments). 
Contribute to CI/CD pipeline development to enable reliable, automated software delivery and infrastructure updates. 
Implement monitoring, logging, and observability solutions using tools such as Dynatrace and Grafana to ensure system health, performance, and reliability. 
Manage and optimize Linux-based environments (RHEL/CentOS), including performance tuning and troubleshooting. 
Design and automate operational tasks and scheduling processes using tools such as cron and Airflow. 
Work with SQL and NoSQL databases to support application functionality, performance optimization, and reliability. 
Deploy and operate services in cloud environments, particularly AWS, ensuring scalability, performance, and cost efficiency. 
 Participate in incident response, root cause analysis, and reliability improvements to maintain highly available systems. 
 Utilize modern AI/ML and Generative AI tools where appropriate to enhance automation, system insights, and operational efficiency. 
Collect and analyze operational and user experience data from cloud platforms and provide insights and reports to engineering and management teams. 
Collaborate closely with engineering, operations, and product teams to continuously improve platform capabilities and user experience. 

 Experience in software engineering, cloud platform engineering, site reliability engineering, or a related field. 
Strong programming or scripting skills (e.g., Python, Shell, or similar) with a focus on automation and system tooling. 
Experience developing and supporting distributed or cloud-based applications. 
Solid experience with Linux systems administration (RHEL/CentOS), including troubleshooting and performance optimization. 
Experience working with containerization and orchestration technologies such as Kubernetes. 
Familiarity with CI/CD pipelines and modern software delivery practices. 
Experience with observability and monitoring tools such as Dynatrace, Grafana, or similar platforms. 
Working knowledge of SQL and NoSQL databases. 
Experience with public cloud platforms, preferably AWS. 
Strong analytical, debugging, and problem-solving skills. 
Experience applying automation, data-driven insights, or AI/ML tools to improve system performance or engineering workflows is a plus. 
 Strong communication and collaboration skills in cross-functional engineering environments. 

Typically requires a Bachelor of Science Degree in Electrical Engineering or Computer Science with 2+ years related experience; a Masters degree in Electrical Engineering or Computer Science with 0+ years related experience; or equivalent experience.