Research Computing Software Engineer (Platform Observability)

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design and implement secure, automated infrastructure solutions for high-performance computing environments using Agile software development practices.
• Build, operate, and improve observability infrastructure across metrics, logging, and distributed tracing, including dashboards, actionable alerts, and system health and performance monitoring.
• Develop, maintain, and monitor CI/CD pipelines that enable frequent, reliable deployments of infrastructure code.
• Deploy and operate workloads across container orchestration environments, including bare-metal and cloud-based infrastructure.
• Apply DevSecOps practices to Linux-based infrastructure, automation, configuration management, and system administration.
• Contribute to pull request reviews, unit testing, technical documentation, and other software quality activities.
• Demonstrate completed solutions and technical capabilities to internal teams and, when appropriate, external customers.
• Partner with Agile team members to identify project risks, issues, requirements, and technical solutions on an ongoing basis.
• Support platform reliability through observability practices, performance monitoring, incident response readiness, and continuous operational improvement.

Requirements:

• Associate degree with at least 2 years of relevant experience, or an equivalent combination of education and experience; alternatively, a bachelor’s degree may qualify for the professional-level position with relevant experience accepted in lieu of education.
• Experience with DevSecOps tools and practices, Linux infrastructure, and system administration.
• Experience developing infrastructure automation using configuration management and scripting tools.
• Knowledge of continuous integration and continuous delivery (CI/CD) pipeline development and deployment practices.
• Familiarity with container orchestration and a strong interest in cloud-native technologies.
• Understanding of observability principles, including the collection and analysis of metrics, logs, and traces.
• Experience with observability platforms such as monitoring and metrics systems, log aggregation, distributed tracing, dashboards, and alerting tools is preferred.
• Familiarity with service-level indicators (SLIs), service-level objectives (SLOs), on-call practices, and incident response is a plus.
• Experience with container orchestration at scale and public, private, or hybrid cloud environments is preferred.
• Knowledge of distributed version control, configuration management, and containerization is advantageous.
• Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work effectively within Agile teams.
• Must be a U.S. citizen and eligible to obtain a government security clearance; successful completion of required background checks and applicable drug testing is also required.
• Ability to work in a secure environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information, including compliance with applicable electronic and physical monitoring requirements.
• The role is primarily on-site in State College, PA, with potential hybrid work arrangements depending on project needs.

Benefits:

• Competitive salary range of $68,604 to $102,900 per year, depending on qualifications, experience, and applicable position grade.
• Comprehensive medical, dental, and vision insurance.
• Robust retirement benefits and retirement planning options.
• Generous paid time off, including holidays, vacation, and sick leave.
• 75% tuition discount for eligible employees, spouses, and children.
• Opportunities for professional growth and exposure to advanced research, engineering, cybersecurity, high-performance computing, and cloud technologies.
• Mission-driven work supporting challenging scientific, engineering, and technology initiatives for government and research customers.
• Potential hybrid work flexibility based on project requirements and manager approval.