Competitive Salary Range Jobs

1,265,234 open positions · Updated daily

Competitive Salary Range roles capture the attention of tech talent because they combine high pay with a transparent market that shows exact compensation bands. With 5,261 open positions across the globe, recruiters are actively filling roles in AI/ML, cloud‑native, and cybersecurity, sectors that have seen a 25% hiring surge over the past year. The demand is driven by companies investing in digital transformation and needing specialists who can architect scalable systems and secure data pipelines.

Within the Competitive Salary Range category, you’ll find positions such as Cloud Solutions Architect, Machine Learning Engineer, DevOps Lead, and Cybersecurity Analyst. An architect designs multi‑region infrastructure on AWS or Azure, a ML engineer trains models in TensorFlow, a DevOps lead implements CI/CD pipelines with GitHub Actions and Terraform, and a cybersecurity analyst performs threat hunting with Splunk and conducts penetration tests. Each role requires a blend of coding, automation, and security best practices.

Salary transparency gives professionals in these high‑stakes roles a clear benchmark for negotiation and career planning. Knowing the exact range for a Cloud Architect in San Francisco ($180k–$220k) versus a remote ML engineer ($140k–$190k) eliminates hidden premium pay and ensures that compensation reflects skill level, geographic cost, and market demand. Transparency also drives diversity by making it easier for underrepresented groups to compare offers and advocate for equitable pay.

Data Developer

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM CIC offers extensive career growth opportunities, training programs, and a supportive culture focused on innovation and client impact.

Experienced Data Scientist – Advanced Analytics - IBM CIC France - H/F

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 15, 2025

This job description highlights opportunities to work in IBM's innovation centers, collaborate with global clients, and leverage advanced technologies for impactful projects. It emphasizes career growth, technical expertise, and collaborative innovation in data science roles.

Technical Consultant-Application Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role focused on application security testing, secure coding practices, and threat modeling within IBM Consulting's delivery centers. It requires a bachelor's degree, relevant technical expertise in security tools, and experience with SAST/DAST methodologies. The position emphasizes industry expertise and innovation in technology adoption for public and private sector clients.

Project Manager-SAP HANA

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a Project Manager role at IBM Consulting, requiring expertise in project management, technical skills, and experience with SAP implementations. The position involves managing complex projects, client relationships, and traveling within India. Educational qualifications and certifications like PMP/ITIL are preferred.

Solution Architect-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting's delivery centers focusing on data platform design, cloud technologies, and customer collaboration. Responsibilities include solution architecture, presales support, and technical implementation. Required expertise spans data engineering, Azure cloud platforms, and big data technologies.

Data Scientist-Advanced Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a Data Engineer role at IBM Consulting, involving data analysis, innovation, and collaboration with cross-functional teams. Responsibilities include developing predictive models, designing search applications, and working in Agile environments. Required qualifications include a Bachelor's degree and specific technical expertise in AI and data technologies.

Infrastructure Specialist-Cloud Data Platform Managed Services (Informatica Monitoring)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in data platforms, and opportunities for growth. It highlights roles involving data management, problem-solving, and leveraging advanced technologies like Hadoop and Snowflake.

Security Consultant-Data Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves advising clients on security solutions, collaborating on hybrid cloud and AI projects, and leveraging IBM's technology to drive innovation and career growth.

Front End Developer (React JS and .NET)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The role involves working with clients on hybrid cloud and AI projects, requiring software development skills and collaboration in IBM's innovation centers.

Industry Consultant-Telecommunications

Company: IBM

Location: New Delhi, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting involving technical expertise, team leadership, and innovation in delivering solutions to clients. It highlights opportunities for skill development, cross-disciplinary work, and industry-specific knowledge growth.

Curador(a) Pleno(a)

Company: IBM

Location: NO City, BR

Posted Dec 15, 2025

The text describes a role at IBM Consulting focused on digital transformation through AI and agile methodologies, emphasizing collaboration with clients, innovation, and career growth opportunities in a supportive ecosystem.

Package Consultant-Salesforce

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in Salesforce development, and opportunities to innovate in hybrid cloud and AI projects. It outlines required skills and work environments involving agile methodologies and cross-cultural teamwork.

Frequently Asked Questions

What are the typical salary ranges by seniority for Competitive Salary Range roles?
Entry‑level engineers and analysts typically earn $70k–$100k. Mid‑level professionals command $100k–$150k. Senior engineers and architects range from $150k–$200k. Lead or principal positions fall between $200k–$250k, while directors, VPs, and senior leadership can earn $250k–$350k, depending on industry, geography, and technical depth.
Which skills and certifications are required for Competitive Salary Range positions?
Core technical skills include Python, Java, or Go; cloud platforms such as AWS, Azure, or GCP; containerization with Docker and Kubernetes; infrastructure‑as‑code tools like Terraform; and data science frameworks like TensorFlow or PyTorch. Certifications that boost credibility are AWS Certified Solutions Architect, GCP Professional Cloud Architect, Certified Kubernetes Administrator, and CISSP or CEH for security roles.
How common is remote work for Competitive Salary Range roles?
Approximately 80% of positions in this category offer fully remote or hybrid arrangements, especially for cloud, AI, and DevOps roles. Remote‑first companies such as HashiCorp, Snowflake, and Databricks list all 5,261 roles with a remote option, allowing candidates to choose locations that match their desired compensation band.
What are the typical career progression paths within Competitive Salary Range roles?
A common trajectory starts with Junior Engineer → Engineer → Senior Engineer → Lead Engineer/Principal → Architect → Engineering Manager → Director/VP. Progression timelines vary but usually span 2–4 years per promotion; moving from a mid‑level engineer to a senior role often takes 3–5 years, while reaching a director level can take 8–10 years of experience and proven project leadership.
What industry trends are shaping Competitive Salary Range roles?
Key trends include accelerated AI/ML adoption (70% increase in enterprise AI spend), cloud‑native architecture expanding into edge computing, the rise of low‑code platforms, and heightened demand for cybersecurity talent due to a 30% rise in ransomware attacks. Companies are also investing in 5G and IoT integration, driving new roles that blend network engineering with data analytics.

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