Senior Systems Engineer

4 weeks ago

Maryland, United States LCG Full time

Job Title: Senior Systems Engineer

Job Summary: We are seeking a highly skilled Senior Systems Engineer to join our team at LCG. As a Senior Systems Engineer, you will be responsible for designing, developing, maintaining, and supporting the organization's systems infrastructure.

This role involves implementing and assessing hardware and software systems, ensuring the performance, security, and reliability of systems. You will work independently and collaboratively on moderately complex projects and contribute to the ongoing development and automation of cloud services for the organization.

Key Responsibilities:

  • Design, develop, and maintain the organization's systems infrastructure, including both hardware and software solutions.
  • Implement cloud-based systems using platforms such as Azure, AWS, and Google Cloud Platform (GCP) with a focus on automation, scalability, and security.
  • Architect and implement automation solutions for system configurations, including Azure AD federation, security settings, and compliance reporting.
  • Ensure the removal of user accounts from systems after 90 days of inactivity and manage privileged access controls.
  • Participate in pilot activities to develop cloud modules and best practices for scientific computing.
  • Provide cloud consulting and support to NIH scientists and researchers, enabling them to use NIH cloud resources and services, including the NIH Cloud Lab.
  • Conduct technical support for cloud integration, environment setup, and workflow automation.
  • Support cloud security operations by verifying and validating system security, assessing vulnerabilities, and ensuring compliance with NIST, FIPS, and NIH standards.
  • Assist in maintaining Assessment & Authorization (A&A) processes, ensuring cloud environments remain secure and compliant with NIH's security policies and FISMA requirements.
  • Manage cloud product lifecycle, including assessing environments, coordinating with cloud service providers, and providing technical documentation such as roadmaps, capacity summaries, and project reports.
  • Support product development, including Microsoft Power Platform applications and GitHub website development.
  • Provide guidance on data analysis and develop documentation for data-related aspects such as cost analysis, account usage, and customer training data.
  • Operate, maintain, and enhance NIH cloud environments to ensure they remain secure, compliant, and meet organizational needs.
  • Support the operation and maintenance of Software as a Service (SaaS) and Platform as a Service (PaaS) offerings, ensuring adherence to security policies and ATO compliance.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 4-7 years of experience in systems engineering, with a focus on cloud computing, automation, and security.
  • Cloud platforms (AWS, Azure, or GCP).
  • Experience with scientific workflows, cloud module development, and research enablement.
  • Familiarity with Microsoft Power Platform, including Power Apps and Power Automate.
  • Proficient in cloud platforms such as AWS, Azure, and GCP.
  • Experience with GitHub API, GitHub Actions, and cloud automation tools.
  • Excellent communication skills, both technical and non-technical, with the ability to create detailed documentation for end users and executive-level reports.

Salary: The projected compensation range for this position is $110,950 to $140,650 per year, benchmarked in the Washington, D.C. area. The target salary is $127,000.

Benefits: LCG offers a competitive, comprehensive benefits package, including health insurance options, life and disability insurance, retirement plan contributions, paid leave, federal holidays, professional development, and lifestyle benefits.

Equal Employment Opportunity: LCG is an equal opportunity employer and welcomes applications from diverse candidates. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

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