Competitive Pay Range Jobs
1,356,019 open positions · Updated daily
Competitive Pay Range roles are the fastest growing segment in the tech market, with 2800 openings across cloud, AI, and data science. Recruiters are actively seeking talent who can deliver high‑impact projects and command market‑aligned salaries. The surge in demand is fueled by companies investing in digital transformation, automation, and advanced analytics.
Typical positions include Cloud Solutions Architect, Data Engineer, Machine Learning Engineer, and DevOps Engineer. Responsibilities span designing scalable infrastructure on AWS or Azure, building ETL pipelines in Python and Spark, deploying models with TensorFlow, and automating CI/CD workflows in GitLab and Jenkins. Candidates often work with Kubernetes, Terraform, and observability stacks like Prometheus and Grafana.
Salary transparency is crucial for these professionals because it levels the playing field, allowing candidates to negotiate based on real market data and benchmark against peers. Transparent pay data also helps companies attract top talent by showcasing competitive compensation and reduces time‑to‑hire. For professionals, it provides clarity on expected earnings, benefits, and growth potential.
Pricing & Packaging
Company: IBM
Location: Multiple Cities
Posted Dec 10, 2025
The text describes a job opportunity for a Product Operations professional at IBM focused on pricing and packaging strategies for Data & AI products. It outlines responsibilities including competitive analysis, pricing model optimization, collaboration with cross-functional teams, and documentation. The role emphasizes analytical skills, attention to detail, and experience in technology-driven commercial strategy.
Application Developer-SAP ABAP HANA
Company: IBM
Location: Kolkata, IN
Posted Dec 10, 2025
This job description outlines a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP technologies, and requirements for education and experience in application development and industry-specific knowledge.
Command Center Specialist - Automação Ansible
Company: IBM
Location: SÃO PAULO, BR
Posted Dec 10, 2025
This text promotes an IBM Consulting role in innovation centers, emphasizing technical expertise, automation with Ansible, and collaboration with clients. It highlights career growth, skill development, and opportunities to drive innovation in cloud and mainframe environments.
Package Consultant - STUDENT CONVERSION
Company: IBM
Location: SÃO PAULO, BR
Posted Dec 10, 2025
This job description highlights opportunities for professional growth, collaboration with industry visionaries, and innovation in technology solutions. It emphasizes career development, client relationships, and a culture of continuous learning and empathy.
AI Engineer
Company: Leonardo.Ai
Location: Australia
Posted Dec 10, 2025
This job posting highlights opportunities to work on cutting-edge generative AI projects, collaborate in a collaborative environment, and contribute to impactful creative tools. The role offers growth, flexibility, and a culture focused on innovation and inclusivity.
Consultor(a) SAP SD
Company: IBM
Location: SÃO PAULO, BR
Posted Dec 10, 2025
This role involves working with clients on SAP SD processes, emphasizing career growth and technical expertise in hybrid cloud and AI initiatives. The position highlights collaboration with global clients, innovation in technology adoption, and professional development opportunities within IBM's ecosystem.
Package Consultant-SAP BTM
Company: IBM
Location: BANGALORE, IN
Posted Dec 10, 2025
This job description outlines a role in IBM Consulting's Client Innovation Centers, focusing on process mining, ETL data handling, and collaboration with technical/business teams. It requires expertise in tools like Signavio Process Intelligence, SQL, and data transformation, along with analytical and communication skills.
Data Engineer-Data Warehouse
Company: IBM
Location: Kochi, IN
Posted Dec 10, 2025
This job description outlines the role of a Data Engineer at IBM, focusing on data analysis, system design, and collaboration with cross-functional teams. It highlights required technical skills in tools like DBT, ETL, and programming languages, as well as preferred experience with cloud platforms and data integration technologies.
Quality Engineer-Data
Company: IBM
Location: New Delhi, IN
Posted Dec 10, 2025
This role involves working in IBM Consulting Delivery Centers to provide technical expertise to public and private sector clients. Responsibilities include teamwork, training in technical topics, and communication skills. Requirements include a bachelor's degree, SQL proficiency, Azure Databricks experience, and strong stakeholder management.
Platform Developer – Entry Level Sales Program 2026
Company: IBM
Location: Multiple Cities
Posted Dec 10, 2025
The text describes a Platform Developer role at IBM Client Engineering, emphasizing collaboration with clients on innovative solutions, career growth opportunities, and a supportive work environment. It highlights responsibilities involving hybrid cloud and AI technologies, technical leadership, and cross-functional teamwork. The role requires skills in cloud expertise, value communication, and technical problem-solving, with a focus on delivering enterprise-scale solutions and client satisfaction.
SAP Consultant HANA FSCM, TRM Cash & Liquidity Management
Company: IBM
Location: Multiple Cities
Posted Dec 10, 2025
This text describes a SAP Consultant role at IBM Consulting, highlighting opportunities to work with global clients on hybrid cloud and AI initiatives. It outlines responsibilities involving CLM Component implementation, required education, and technical expertise in SAP Treasury and Risk Management. The role emphasizes collaboration, innovation, and leveraging IBM's technology platforms for client impact.
Curador Júnior
Company: IBM
Location: NO City, BR
Posted Dec 10, 2025
This job description outlines a role focused on developing and maintaining virtual assistants through platforms like IBM Watsonx Assistant and Dialogflow. Responsibilities include analyzing conversations, gathering requirements, modeling intents, testing flows, and collaborating on documentation. Required skills involve Python, Git, and familiarity with NLP and AI technologies.