Challenging Opportunities For You To Learn And Grow Professionally Jobs in Washington DC

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Senior Information Systems Administrator (R3077) *Top Secret Clearance required

Company: Shield AI

Location: Washington DC

Posted Feb 02, 2025

Shield AI is seeking a highly experienced Systems Administrator with 35 years of experience to join their Classified IT Team. The ideal candidate will have a strong desire to learn, exceptional troubleshooting skills, and a commitment to upholding high standards. The role involves maintaining classified and CUI information systems, providing technical support, problem resolution, escalation, documentation, onsite support, imaging and deployment, training and development, and participating in new system planning. Required qualifications include extensive experience in system administration, customer support skills, technical skills in Windows Server, Ubuntu, and cloud environments, A+ and Security+ certifications, and a DOD Top Secret security clearance. Preferred qualifications include advanced technical expertise, scripting and automation skills, and cross-platform experience.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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