Sr Systems Engineer- Production Support

Saic; Town of Texas (WI); Remote; USD 80,000 - 120,000; Full time

Job summary

SAIC is seeking a Systems Engineer to deliver high-level operational support for complex cloud systems within the VA team. This 100% remote position involves diagnosing outages, documenting issues, and working directly with customers to restore and optimize services.

You will maintain infrastructure, implement improvements, and ensure compliance with VA standards and security policies while collaborating with cross-functional teams to deliver reliable production systems.

Qualifications

• 8+ years in systems engineering, production environments
• Experience with AWS and/or Azure cloud (S3, Step Functions, Batch, CloudWatch)
• 3+ years SQL query/monitoring experience
• Proven ability to manage and maintain large-scale production systems

Responsibilities

• Detect, isolate, document, report, and resolve outages in complex application cloud systems
• Document problems using logging and discrepancy tools
• Collaborate with customers in day-to-day activities
• Respond to user issues and escalate when needed; communicate status to stakeholders
• Perform maintenance/installation of computing infrastructure
• Implement continuous improvement through IT systems or procedures
• Maintain inventory of system assets
• Ensure VA standards and security policies
• Provide documentation, training, and additional duties as assigned

Skills

Linux/Unix

Windows OS

Python scripting

Bash

PowerShell

CI/CD

Monitoring

Problem solving

Education

Bachelor's or Master's in CS/IT/Systems Eng

Tools

Ansible

Puppet

Chef

SaltStack

Git

GitHub Actions

AWS CodeBuild

CodeDeploy

CloudFormation

Job description

Description

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.

Qualifications

Education

• Bachelor's or Master's degree inComputer 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.

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.