Competitive Pay Jobs

1,157,812 open positions · Updated daily

With 8,496 Competitive Pay openings, recruiters are pushing salary transparency to attract the best talent in AI, cloud, data science, and cybersecurity. The category covers high‑paying roles—from 0‑to‑2‑year Machine Learning Engineers earning $90k‑$120k to senior Cloud Architects topping $220k—making it a hot spot for ambitious tech professionals. By listing exact salary ranges on each posting, jobseekers can instantly gauge market value and target roles that match their experience level.

Competitive Pay jobs include Machine Learning Engineer (designs predictive models with TensorFlow/PyTorch), Cloud Architect (builds multi‑cloud infrastructure using Terraform and Kubernetes), Data Scientist (analyzes big data sets with Python/R), DevOps Engineer (automates CI/CD pipelines with Jenkins, GitLab, and ArgoCD), and Cybersecurity Lead (secures enterprise networks with Zero‑Trust frameworks). Typical responsibilities involve writing production‑grade code, leading cross‑functional teams, and driving continuous improvement in security and performance.

Salary transparency is critical for Competitive Pay professionals because it levels the negotiation field and protects against hidden biases. With clear pay bands, candidates can benchmark offers against regional cost‑of‑living adjustments, verify that bonuses and equity reflect company standards, and make informed decisions about relocation or remote work. Our transparency tool lets you compare your current offer to similar roles in your city and across the sector.

Frequently Asked Questions

What are typical salary ranges for Competitive Pay roles at different seniority levels?
Junior (0‑2 years) $90k‑$120k, Mid‑level (3‑5 years) $120k‑$160k, Senior (6‑10 years) $160k‑$220k, Lead (10+ years) $220k‑$280k, Principal/Architect $280k‑$350k, and VP/CTO $350k‑$500k+. Regional premiums apply in tech hubs like SF, NYC, and Austin.
What skills and certifications are most valuable for Competitive Pay roles?
Proficiency in Python, Java, or Go; deep knowledge of TensorFlow, PyTorch, or Scikit‑learn for ML; Terraform, Kubernetes, Docker for Cloud; CI/CD tools such as Jenkins or GitLab; security frameworks like Zero‑Trust and tools like Splunk. Certifications: AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, Certified Ethical Hacker, TensorFlow Developer Certificate, and PMP for project leadership.
Can I work remotely in Competitive Pay positions?
Yes—over 70% of Competitive Pay roles offer full remote or hybrid options. Many companies provide remote‑first policies for software, data, and security roles, while on‑site requirements are rare for Cloud Architecture and DevOps positions that need on‑prem integration. Check the location field in each listing for remote flags.
What career paths can I expect after starting in Competitive Pay roles?
Typical progression goes: Junior Engineer → Mid‑level Engineer → Senior Engineer → Tech Lead → Principal Engineer/Architect → VP/CTO. Each step adds leadership, architecture design, and strategic responsibilities. Lateral moves into product management or data science leadership are also common for high‑pay professionals.
What industry trends are shaping Competitive Pay roles?
Fast‑moving AI/ML model deployment, multi‑cloud strategies, edge AI, data privacy regulations (GDPR, CCPA), DevSecOps integration, and AI‑driven automation of security and ops. Companies reward professionals who can architect hybrid cloud, implement MLOps pipelines, and secure data pipelines with zero‑trust principles.

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