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Science Logic/DevOps Engineer- 100% Remote
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Science Logic/DevOps Engineer- 100% Remote
Science Logic/DevOps Engineer- 100% Remote
1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Dice is the leading career destination for tech experts at every stage of their careers. Our client, Motion Recruitment Partners, LLC, is seeking the following. Apply via Dice today!
Science Logic/DevOps Engineer
This company is looking for an Infrastructure Monitoring and AIOps Cloud Engineers with hands-on expertise in ScienceLogic SL1 to support the Department of Veterans Affairs (VA) under the Cloud Operations and Migration Services (COMS) program. This role focuses on enhancing, optimizing, and maintaining cloud application monitoring within the VA Enterprise Cloud (VAEC). Candidates must have strong experience with Amazon Web Services (AWS).
The company is located in the D.C. Area and will remain 100% remote.
What You Will Be Doing:
Provide end-to-end operational support and maintenance for ScienceLogic environments. Configure, operate, and maintain ScienceLogic SL1 for new and existing systems hosted in VAEC. Continuously fine-tune VAEC Operational Tools (VAECOT) to proactively monitor cloud environments and ensure SLAs are consistently met or exceeded. Integrate SL1 with enterprise platforms such as ServiceNow and JIRA Workflow Manager. Support development of KPIs and real-time operational dashboards. Create tailored SL1 user and admin guides for VA teams. Deliver training sessions on SL1 features to end users. Interpret SL1 findings and optimizations for application teams. Assist in capacity planning and future infrastructure needs for SL1. Participate in on-call rotation to support 24x7 SL1 operations within VAEC.
Required Skills & Experience:
Minimum 6 years of experience configuring and operating AWS cloud tools to meet performance targets, SLAs, and compliance standards. Bachelor's degree in Computer Science, Electronics Engineering, or related technical field or an active AWS/Azure certification (e.g., AWS Professional/Specialty or Azure Expert/Advanced). Proven experience implementing shared services, migrating applications, and managing cloud-based enterprise systems. At least 2 years of experience with ScienceLogic SL1, including: Designing, deploying, and managing SL1 in cloud or hybrid environments. Working with AIOps monitoring, application monitoring, and compliance tools. Customizing SL1 configurations and optimizing template reuse. Expertise with AWS as a VAEC Cloud Service Provider. Must be eligible to pass a background check for a Public Trust (High-Risk) clearance. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
This position doesn't provide sponsorship. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Science Logic/DevOps Engineer- 100% Remote
1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Dice is the leading career destination for tech experts at every stage of their careers. Our client, Motion Recruitment Partners, LLC, is seeking the following. Apply via Dice today!
Science Logic/DevOps Engineer
This company is looking for an Infrastructure Monitoring and AIOps Cloud Engineers with hands-on expertise in ScienceLogic SL1 to support the Department of Veterans Affairs (VA) under the Cloud Operations and Migration Services (COMS) program. This role focuses on enhancing, optimizing, and maintaining cloud application monitoring within the VA Enterprise Cloud (VAEC). Candidates must have strong experience with Amazon Web Services (AWS).
The company is located in the D.C. Area and will remain 100% remote.
What You Will Be Doing:
Provide end-to-end operational support and maintenance for ScienceLogic environments. Configure, operate, and maintain ScienceLogic SL1 for new and existing systems hosted in VAEC. Continuously fine-tune VAEC Operational Tools (VAECOT) to proactively monitor cloud environments and ensure SLAs are consistently met or exceeded. Integrate SL1 with enterprise platforms such as ServiceNow and JIRA Workflow Manager. Support development of KPIs and real-time operational dashboards. Create tailored SL1 user and admin guides for VA teams. Deliver training sessions on SL1 features to end users. Interpret SL1 findings and optimizations for application teams. Assist in capacity planning and future infrastructure needs for SL1. Participate in on-call rotation to support 24x7 SL1 operations within VAEC.
Required Skills & Experience:
Minimum 6 years of experience configuring and operating AWS cloud tools to meet performance targets, SLAs, and compliance standards. Bachelor's degree in Computer Science, Electronics Engineering, or related technical field or an active AWS/Azure certification (e.g., AWS Professional/Specialty or Azure Expert/Advanced). Proven experience implementing shared services, migrating applications, and managing cloud-based enterprise systems. At least 2 years of experience with ScienceLogic SL1, including: Designing, deploying, and managing SL1 in cloud or hybrid environments. Working with AIOps monitoring, application monitoring, and compliance tools. Customizing SL1 configurations and optimizing template reuse. Expertise with AWS as a VAEC Cloud Service Provider. Must be eligible to pass a background check for a Public Trust (High-Risk) clearance. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
This position doesn't provide sponsorship. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Get notified about new DevOps Engineer jobs in
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Mobile Application Site Reliability Engineer
Washington, DC $86,800.00-$198,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr