Provides day-to-day production support for complex cloud application systems. Responsibilities include outage detection and resolution, system administration, infrastructure maintenance, user support, monitoring, automation, database support, asset inventory, security compliance, documentation, and continuous improvement. The role collaborates with development, operations, security, customers, and management, supports AWS and Azure environments, and participates in on-call production support.
SAIC is searching for a Systems Engineer who performs high-level, day-to-day operational support of complex application cloud systems to join our VA team. Develops solutions to routine technical problems of limited scope. Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained. This is a 100% remote role.
Job Description:
- Detect, isolate, document, rapidly report, and resolve system outages or problems encountered during operations of the scientific workstations, which includes the collections of diagnostic data, restoring the system operation, development of workarounds, and other activities necessary for recovery of a system.
- Accurately document problems in logging and discrepancy reporting tools.
- Work directly with the customer in most aspects of the day-to-day activities.
- Respond to user calls regarding hardware and software problems, correcting or ensuring that problems are escalated when required. Communicate with users and senior management the status of key problem statuses.
- Perform maintenance/installation of computing infrastructure.
- Implement continuous improvement methodology through the use of IT systems or procedure.
- Maintain inventory of system assets.
- Ensure compliance with VA standards and security policies.
- Provide documentation, training, and additional duties as assigned.
Education:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Systems Engineering, or a related field.
- Advanced certifications in relevant areas (e.g., Red Hat Certified Engineer, Microsoft Certified Systems Engineer, AWS Certified Solutions Architect) are preferred.
Experience:
- 8 years of experience in systems engineering or a related field, particularly in production environments.
- Experience with AWS and/or Azure Cloud experience with S3, Step Functions, Batch Jobs, CloudWatch.
- Minimum 3 years SQL query and monitoring experience.
- Proven track record of managing and maintaining large-scale production systems.
Requirements:
- Strong proficiency in Linux/Unix and Windows operating systems.
- Experience with system administration tasks including user management, permissions, and system monitoring.
- Proficiency in scripting languages such as Python, Bash, or PowerShell for automation and configuration management.
- Experience with automation tools like Ansible, Puppet, Chef, or SaltStack.
- Knowledge of cloud-native technologies and infrastructure-as-code (IaC) tools such CloudFormation.
- Experience with monitoring tools like DynaTrace, ScienceLogic, and CloudWatch.
- Ability to troubleshoot and optimize system performance and reliability.
- Understanding of network protocols, firewall configurations, and VPN setup.
- Experience with network monitoring and diagnostic tools.
- Experience with security best practices for production systems.
- Experience implementing security measures, conducting audits, and ensuring compliance with industry standards.
- Working knowledge of database systems such as AWS RDS SQL Server and Oracle RDMBS/RDS.
- Knowledge of database performance tuning and backup/recovery processes.
- Knowledge of continuous integration/continuous deployment (CI/CD) pipelines.
- Familiarity with version control systems like Git and CI/CD tools like GitHub Actions, AWS CodeBuild and CodeDeploy.
- Strong analytical and problem-solving skills with the ability to troubleshoot complex system issues.
- Excellent communication and interpersonal skills, with the ability to work effectively in cross-functional teams.
- Ability to prioritize tasks, manage time effectively, and meet deadlines in a high-pressure environment.
- Strong attention to detail to ensure system stability and data integrity.
- Ability to quickly adapt to new technologies and processes.
- Willingness to be on-call for production system support as required.
- Strong documentation skills for maintaining system configurations, processes, and procedures.
- Ability to manage and contribute to multiple projects, ensuring timely completion and quality results.
- Ability to work collaboratively with development, operations, and security teams to ensure seamless production system operations.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
Similar Jobs
Security
Provide day-to-day production support for complex cloud systems and scientific workstations. Diagnose and resolve outages, maintain infrastructure, manage system assets, support users, monitor performance, implement automation and continuous improvement, and ensure compliance with VA security standards. Responsibilities include system administration, cloud and database operations, documentation, training, troubleshooting, and collaboration with development, operations, and security teams. Participation in on-call production support is required.
Top Skills:
Amazon CloudwatchAmazon S3AnsibleAWSAws BatchAws CloudformationAws CodebuildAws CodedeployAws RdsAws Step FunctionsAzureBashChefCi/CdDynatraceGitGithub ActionsLinux/UnixOracle RdbmsPowershellPuppetPythonSaltstackSciencelogicSQLSQL ServerWindows
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Designs and leads scalable cloud applications, virtualization platforms, and automation for embedded software development and co-simulation. Responsibilities include architecting multi-region cloud infrastructure, developing deployment and maintenance automation, integrating regression testing workflows into CI/CD, and supporting cybersecurity, scalability, resiliency, and cost optimization. The role serves as a subject matter expert, leads cross-functional integrations, collaborates with suppliers, and presents technical solutions to leadership and external organizations.
Top Skills:
AutovalAWSAzureAzure Event GridAzure Event HubsAzure Service BusBicepCC++CaplCi/CdClaudeCursorDockerDspace SystemdeskEcsGCPGerritGitGithub ActionsGithub CopilotGleanIntrepid Vehicle SpyJavaJenkinsKubernetesMicronautMicrosoft 365 CopilotPythonQuarkusSingularitySpring BootSystemcTerraformVector CanapeVector CanoeVeos
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Fullstack/Frontend Engineer will architect and implement scalable frontend systems for AV mapping applications, collaborating with cross-functional teams to enhance user experience and performance in autonomous driving technologies.
Top Skills:
D3.JsDeck.GlGraphQLJavaScriptMapbox GlNode.jsOpenlayersReactReduxRestful ApisTypescriptWebsocketsZustand
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

