DecisionPoint Corporation Logo

DecisionPoint Corporation

Senior Windows Systems Administrator

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Serves as a technical subject matter expert for enterprise Windows Server, Active Directory, and IIS environments. Administers, patches, monitors, secures, and troubleshoots mission-critical systems; manages Group Policy, DNS, authentication, permissions, networking, and virtualized environments. Applies DISA STIGs and DoD RMF security requirements, performs vulnerability remediation and root-cause analysis, maintains documentation, and supports production systems through on-call rotations.
The summary above was generated by AI
Overview

DecisionPoint is seeking an experienced Senior Windows Systems Administrator to serve as a technical SME supporting enterprise Microsoft Windows Server, Active Directory, and IIS environments. The role requires advanced expertise in Windows administration, Active Directory, Group Policy, DNS, IIS, authentication, networking, and system troubleshooting. Responsibilities include maintaining mission-critical systems, resolving complex production issues, supporting virtualized environments, and implementing security hardening and vulnerability remediation. Experience with DISA STIGs, DoD RMF requirements, and enterprise Windows security standards is essential.

These positions are fully remote. 

Duties & Responsibilities
  • Serve as the technical SME for Microsoft Windows Server, Active Directory, and IIS environments.
  • Administer, configure, patch, upgrade, monitor, and troubleshoot enterprise Windows Server systems.
  • Manage and support Active Directory, including users, groups, OUs, Group Policy, DNS integration, trusts, and domain services.
  • Install, configure, secure, tune, and troubleshoot Microsoft IIS web server environments.
  • Perform advanced troubleshooting across Windows services, event logs, authentication, permissions, storage, CPU, memory, networking, and application connectivity.
  • Apply DISA STIGs and harden Windows systems to meet DoD RMF security requirements.
  • Manage Group Policy Objects (GPOs) and enterprise Windows security configurations.
  • Perform root-cause analysis for complex production issues and system outages.
  • Support virtualized Windows environments across development, test, and production.
  • Maintain technical documentation, SOPs, system configurations, and operational procedures.
  • Participate in production support and on-call rotations as required.
Qualifications

Clearance Requirement 

  • Must hold an active Top Secret clearance

Education (Required) 

  • Bachelor’s degree in Computer Science, Information Technology, DevOps Engineering, or a related field. 

Experience (Required) 

  • 10+ years of hands-on Windows Server administration experience.
  • Expert-level experience with Microsoft Windows Server in enterprise or mission-critical environments.
  • Strong hands-on expertise with Active Directory, Group Policy, DNS, authentication, and domain services.
  • Strong hands-on experience administering and troubleshooting Microsoft IIS.
  • Advanced Windows troubleshooting skills, including Event Viewer, services, permissions, performance, networking, and application issues.
  • Experience with DISA STIG, DoD RMF, Windows security hardening, and vulnerability remediation.
  • Strong understanding of NTFS permissions, certificates, SSL/TLS, Windows networking, and enterprise authentication.
Our Equal Employment Opportunity Policy
  • EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws.
  • Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
  • Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.

Similar Jobs

48 Seconds Ago
Remote or Hybrid
Sunnyvale, CA, USA
219K-335K Annually
Senior level
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads an engineering team developing autonomous vehicle evaluation platforms, metrics, workflows, dashboards, and analysis tools for simulation and on-road testing. Sets technical direction, guides statistical and machine learning evaluation methods, oversees performance analysis across perception, prediction, and planning, and supports release gating and risk assessment. Responsibilities include hiring, coaching, architectural decisions, cross-functional collaboration, code quality, observability, and translating system-level results into actionable engineering and leadership insights.
Top Skills: C++LlmsNumpyPandasPythonPyTorchRosScipySQLVlms
49 Seconds Ago
Remote or Hybrid
Mountain View, CA, USA
251K-385K Annually
Senior level
251K-385K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the safety strategy, validation methodology, and safety case for Level 3–4 autonomous driving systems. Define ODDs, behavior evaluation criteria, safety metrics, sufficiency criteria, and launch targets. Assess AV performance using simulation, closed-course, and public-road data, applying SOTIF, ISO 5083, and AVSC practices. Provide technical leadership across AI/ML, software validation, simulation, metrics, and vehicle program teams while influencing executives and cross-functional stakeholders.
Top Skills: Ai PlatformAmazon S3AvscAWSAzure Data LakeAzure Machine LearningBedrockBigQueryClusteringDatabricksDataflowDecision TreesDeep LearningDockerGenerative AiGitGoogle Cloud PlatformIso 21448Iso 5083JavaJIRAKubernetesLangchainLarge Language ModelsAzureMlflowNatural Language ProcessingNumpyPandasPower BIPysparkPythonPyTorchRRandom ForestReinforcement LearningRetrieval-Augmented GenerationSagemakerScikit-LearnSQLSvmTableauTensorFlowXgboost
57 Seconds Ago
Remote or Hybrid
Mountain View, CA, USA
Entry level
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead end-to-end machine learning development for autonomous driving, including data curation, foundation-model pre-training, post-training, fine-tuning, alignment, and deployment. Build scalable pipelines using real and synthetic datasets, apply imitation and reinforcement learning, improve model safety and reliability, collaborate across teams, lead technical initiatives, and mentor ML engineers.
Top Skills: SparkNumpyPandasPythonPyTorch

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account