Competitive Pay, Performance-Based Bonuses Jobs
1,609,249 open positions · Updated daily
Competitive Pay and Performance-Based Bonuses are the driving forces behind today’s most sought‑after tech positions. Companies in AI, cloud computing, and fintech are offering salary packages that combine a solid base with sizeable bonus pools tied to quarterly revenue or product adoption metrics. This blend of high base pay and upside potential has pushed demand for seasoned leaders, data scientists, and product owners to unprecedented levels.
Typical roles in this category include Engineering Manager, Data Science Lead, Product Owner, and Solutions Architect. Responsibilities span managing cross‑functional squads, steering end‑to‑end feature delivery, and translating business goals into measurable OKRs. Engineers often juggle Kubernetes clusters, CI/CD pipelines, and Terraform scripts, while data scientists deploy TensorFlow models in AWS SageMaker and analyze pipelines with Spark. Product owners coordinate JIRA workflows, run A/B tests in Optimizely, and maintain dashboards in Looker.
Salary transparency is critical for professionals chasing performance bonuses because it reveals the exact base, bonus multiplier, and KPI thresholds. With clear numbers, candidates can align their skill set with the company’s upside potential, negotiate realistic targets, and avoid the risk of being under‑paid for a role that promises high rewards.
Supply Assurance intern 2026
Company: IBM
Location: GUADALAJARA, MX
Posted Jan 07, 2026
The role involves collecting metrics, preparing reports, supporting process improvements, and data analysis. Required education includes a high school diploma or university degree in relevant fields, along with analytical skills and proficiency in Excel.
Cyber Security Consultant - Strategy, Risk & Compliance
Company: IBM
Location: Multiple Cities
Posted Jan 07, 2026
The text promotes IBM CIC's career opportunities, highlighting benefits like professional growth, training programs, work-life balance, and a supportive work environment. It emphasizes innovation, collaboration, and career development for candidates in cybersecurity roles.
Data Engineer-Data Platforms-AWS
Company: IBM
Location: Pune, IN
Posted Jan 07, 2026
This job description outlines a Data Engineer role at IBM Consulting, requiring expertise in big data technologies like Spark, Python/Scala, and Azure cloud platforms. Responsibilities include developing data solutions, building pipelines, and working with Hadoop and NoSQL databases. The position demands a bachelor's degree and 4+ years of experience in data engineering.
Development Manager - IBM Storage Software
Company: IBM
Location: Pune, IN
Posted Jan 07, 2026
This job description outlines a leadership role in storage and distributed systems engineering at IBM, requiring expertise in enterprise storage, team management, and technical leadership. Responsibilities include overseeing software development, ensuring system reliability, and collaborating across global teams.
Application Developer-MuleSoft
Company: IBM
Location: Hyderabad, IN
Posted Jan 07, 2026
IBM Consulting offers roles in hybrid cloud and AI development with collaboration opportunities, growth, and technical expertise. Required skills include MuleSoft and RDBMS knowledge.
Application Developer-AWS Cloud FullStack
Company: IBM
Location: Kochi, IN
Posted Jan 07, 2026
The text describes a career in IBM Consulting focused on building long-term client relationships, leveraging hybrid cloud and AI solutions, and driving innovation through technical expertise. It highlights opportunities to work with industry leaders, contribute to impactful projects, and develop skills in modern technologies like containerization and cloud solutions. The role emphasizes collaboration, client trust, and career growth within IBM's ecosystem.
Platform Team Lead
Company: IBM
Location: Multiple Cities
Posted Jan 07, 2026
The text describes a role at IBM Consulting involving leadership in platform operations, collaboration on hybrid cloud and AI initiatives, and expertise in cloud environments and DevOps. It emphasizes innovation, growth opportunities, and technical proficiency requirements.
Application Developer-MuleSoft
Company: IBM
Location: Pune, IN
Posted Jan 07, 2026
IBM Consulting offers global client collaboration, innovation in hybrid cloud and AI, and career growth with expertise in Mulesoft and SDLC.
Contact Center Team Leader
Company: IBM
Location: Naga City, PH
Posted Jan 07, 2026
This text describes a leadership role at IBM focusing on team management, process optimization, and client relationship development. It outlines responsibilities such as performance monitoring, capacity building, and compliance enforcement, while emphasizing collaboration and innovation in a global consulting environment.
Technical Architect-Cloud Platforms
Company: IBM
Location: BANGALORE, IN
Posted Jan 07, 2026
This job description outlines a role at IBM Consulting involving technical expertise, client collaboration, and leadership in delivering innovative solutions. It highlights opportunities for skill development, cross-disciplinary work, and industry knowledge growth. Requirements include a bachelor's degree, storage expertise, and experience with cloud technologies.
Application Developer-Cloud FullStack
Company: IBM
Location: BANGALORE, IN
Posted Jan 07, 2026
This text describes a developer role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in cloud and AI technologies, and responsibilities involving cloud application development, automation tools, and microservices. It highlights required skills in Java, Spring frameworks, CICD tools, and test automation, while showcasing opportunities for innovation and impactful work in a strategic partner ecosystem.
Data Engineer-Data Platforms
Company: IBM
Location: Mumbai, IN
Posted Jan 07, 2026
This job description outlines a Big Data Engineer role at IBM Consulting, involving development of data solutions, infrastructure management, and collaboration with data scientists. Requirements include expertise in Hadoop, Spark, Python, and cloud technologies, with emphasis on scalable data processing and system optimization.