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 Engineer-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 20, 2025

This job description outlines a Data Engineer role at IBM, emphasizing responsibilities such as designing solutions, continuous improvement through agile frameworks, and required expertise in technologies like Apache Spark, Hadoop, Python, and cloud platforms. It highlights both technical skills and collaborative teamwork expectations.

Snowflake Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 20, 2025

This job description outlines a role as a Snowflake and ETL developer for IBM Consulting, focusing on data solutions for electric utility initiatives. The position emphasizes collaboration with clients, innovation in hybrid cloud and AI, and career growth through technical expertise and strategic partnerships.

Application Developer-Java & Web Technologies

Company: IBM

Location: Segrate, IT

Posted Dec 20, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, career growth opportunities, and technical expertise in areas like Java, Quarkus, and Kubernetes. It highlights the importance of curiosity, problem-solving, and continuous learning in a supportive professional environment.

ESRI Utility Network FTE

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 20, 2025

The text describes a role at IBM Consulting involving client collaboration, innovation in technology adoption, and career growth opportunities. It highlights technical expertise, strategic partnerships, and a culture of continuous learning and problem-solving.

Consulting Public Sector Digital & Technology Solutions Degree Apprenticeship

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

The text promotes IBM Consulting's career opportunities, emphasizing collaboration, innovation, and professional growth. It highlights competitive benefits, technical development, and client-focused roles with clear application guidelines.

SAP HANA FIN FI Consultant -Group Reporting

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful work. It outlines role responsibilities, required skills, and professional development in SAP technologies.

Data Engineer-Business Intelligence - 5658115

Company: IBM

Location: NO City, BR

Posted Dec 20, 2025

The text describes a role in IBM Consulting focused on AI and data engineering, emphasizing collaboration, innovation, and career growth. It highlights responsibilities like designing AI systems, working with global teams, and required skills in machine learning and MLOps. The tone is promotional and confident about the opportunities and technologies involved.

Package Consultant-SAP HANA SCM MM

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 20, 2025

This job description highlights a career in IBM Consulting focused on SAP implementation and client collaboration, emphasizing global opportunities, technical expertise, and professional growth through strategic partnerships and innovative technology.

Order to Cash Practitioner

Company: IBM

Location: Naga City, PH

Posted Dec 20, 2025

IBM seeks an Order to Cash Analyst to handle transactional tasks, collaborate with clients, and drive innovation. The role emphasizes problem-solving, communication, and achieving business goals in a dynamic environment.

Incident Response Consultant

Company: IBM

Location: BANGALORE, IN

Posted Dec 20, 2025

This job description outlines a Security Consultant role at IBM, focusing on incident response, cybersecurity advisory, and technical expertise. The position requires skills in threat hunting, forensic analysis, and cloud technologies, with opportunities to work on high-profile cybersecurity cases and develop enterprise security strategies.

Consultor SAP TM

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

This role involves working with IBM's global clients to advance hybrid cloud and AI initiatives through technical expertise and innovation. Responsibilities include implementing SAP solutions and collaborating in delivery centers with industry-specific skills.

SAP FI Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

This text describes a SAP S4HANA FI Consultant role at IBM Consulting, emphasizing collaboration on hybrid cloud and AI projects, financial process optimization, and career growth opportunities through innovative solutions and global 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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