Hands-On Experience Jobs in New York City, NY

1,745,600 open positions · Updated daily

Looking for Hands-On Experience jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Hands-On Experience position in the New York City, NY area.

LPN

Company: Sunrise Senior Living

Location: West Babylon, New York

Posted Mar 23, 2025

Frequently Asked Questions

What are the typical salary ranges for Hands‑On Experience roles at entry, mid, and senior levels?
Entry‑level roles generally pay between $70,000 and $90,000, mid‑level between $90,000 and $130,000, and senior positions can command $130,000 to $180,000 or more, depending on location, tech stack, and industry focus.
Which skills and certifications are most valuable for Hands‑On Experience professionals?
Key skills include Docker, Kubernetes, CI/CD with GitHub Actions or GitLab CI, Python, TensorFlow or PyTorch, AWS/GCP/Azure, Airflow, and embedded C/C++. Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional Data Engineer, and TensorFlow Developer Certificate add measurable credibility.
Can Hands‑On Experience roles be performed remotely, and what are the typical remote work expectations?
Yes, many companies offer fully remote positions. Requirements usually include a reliable high‑speed internet connection, access to virtual private networks, and proficiency with collaboration tools like Slack, Jira, and video conferencing. Some roles may involve occasional on‑site visits for hardware testing or team sprints.
What career progression paths exist for Hands‑On Experience professionals?
Typical paths move from Junior Engineer to Senior Engineer, then to Lead Engineer or Technical Program Manager. Advanced trajectories include Principal Engineer, Architect, or Product Owner roles that blend deep technical expertise with strategic product vision.
What are the current industry trends affecting Hands‑On Experience roles?
Trends include the rise of MLOps and automated model deployment, the shift to edge computing for real‑time inference, increased emphasis on serverless and container‑native architectures, and growing focus on AI ethics and explainability in production systems.

Related Pages