Challenging Opportunities For You To Learn And Grow Professionally Jobs in New York City, NY

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the New York City, NY area.

Technical Architect - Dynamics 365 CE & Power Platform

Company: Capgemini

Location: New York, NY

Posted Aug 18, 2025

Preferred Qualifications: Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert Experience with Databricks, Microsoft Copilot, and…

Long-term Substitute Teacher - $210 daily

Company: Kokua Education

Location: New York, NY

Posted Aug 18, 2025

Teach 5 consistent days/week in the same school and teaching assignment. Access full-time teaching opportunities at top rated K-12 schools.

Typescript Fullstack Engineer

Company: Verneek

Location: New York, NY

Posted Aug 18, 2025

We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its…

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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