Technical Expertise Jobs in Washington DC

52,150 open positions · Updated daily

Looking for Technical Expertise jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Technical Expertise position in the Washington DC area.

Sr Cloud Engineer- TS/SCI Required

Company:

Location: Washington, DC

Posted Feb 03, 2025

Software Developer-Jr. TS/SCI REQUIRED

Company:

Location: Washington, DC

Posted Feb 03, 2025

Sr Cloud Developer- Top Secret

Company:

Location: Washington, DC

Posted Feb 03, 2025

IT Project Lead SME- TS/SCI Required

Company:

Location: Washington, DC

Posted Feb 03, 2025

Store Associate

Company: CVS Health

Location: Washington, DC

Posted Feb 03, 2025

Senior Financial Analyst

Company: The Washington Post

Location: Washington, DC

Posted Feb 03, 2025

Frequently Asked Questions

What are typical salary ranges for Technical Expertise roles by seniority?
Junior AI Ops Engineer: $70k–$90k, Mid‑level: $90k–$120k, Senior: $120k–$150k, Lead: $150k–$180k.
What skills and certifications do employers prioritize in Technical Expertise?
Key skills include Python, Kubernetes, Terraform, Docker, CI/CD (GitLab, Jenkins), and observability (Prometheus, Grafana). Preferred certifications are AWS Certified Solutions Architect – Associate, GCP Professional Cloud Architect, Certified Kubernetes Administrator (CKA), and ML‑Ops certificates such as TensorFlow Developer.
Is remote work common for Technical Expertise positions?
About 75% of listings offer full‑time remote or hybrid arrangements. Employers often list 'Remote' or 'Hybrid' in the job title; check the location field or tags for 'Remote'.
What career progression paths exist within Technical Expertise?
Typical ladder: Junior Cloud Engineer → Senior Cloud Engineer → Lead Cloud Architect → Director of Cloud Services → VP of Engineering. Each step adds responsibility for architecture design, team leadership, and strategic roadmap.
What industry trends should Technical Expertise professionals watch?
Edge computing adoption is projected to grow 30% CAGR; AI Ops tools are integrating with Kubernetes for predictive autoscaling; quantum‑edge hybrid solutions are emerging in finance; serverless and multi‑cloud governance are expanding; stay current with Kubernetes, Terraform, and AI‑Ops platforms.

Related Pages