Challenging Opportunities For You To Learn And Grow Professionally Jobs

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Demand for high‑impact tech roles is surging, with 3,114 openings that blend cutting‑edge innovation and measurable results. Companies prioritize talent that can navigate complex AI models, cloud migrations, and security architectures, and they are willing to pay top dollar for those who can deliver.

Within this category you’ll find AI/ML Engineers building TensorFlow pipelines, Cloud Architects designing Kubernetes clusters on AWS or Azure, DevOps Engineers automating CI/CD with Terraform, Cybersecurity Analysts conducting SOC‑2 audits and threat hunting, as well as Data Engineers crafting performant lakehouse architectures with Delta Lake. Typical responsibilities include model training, infrastructure scaling, automated testing, incident response, and data governance.

Transparent salary data is essential for professionals in these high‑stakes roles. Knowing exact pay ranges allows you to benchmark against peers, negotiate confidently, and identify whether a position’s compensation aligns with the technical depth and impact required. It also promotes equity in a field where under‑compensation can stall innovation.

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.

Senior Learning Facilitator: Faculty Shared Services

Company: IBM

Location: Heredia, CR

Posted Dec 10, 2025

This job posting outlines a faculty position for delivering IBM Consulting Partner & Professional Development education programs globally. The role requires experience in consulting, facilitation, and coaching skills, along with a two-year commitment. Qualifications include a bachelor's degree, training expertise, and teamwork abilities in a remote environment.

Intern 2026: Applied Quantum Science - Quantum Algorithms for Dynamical Systems

Company: IBM

Location: Dublin, IE

Posted Dec 10, 2025

This text describes a research role at IBM focusing on quantum algorithms, benchmarking classical methods, and developing quantum computing capabilities. It highlights innovation, problem-solving, and opportunities in cutting-edge technology with a strong emphasis on technical expertise and collaboration.

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.

Software Engineer

Company: IBM

Location: BUDAPEST, HU

Posted Dec 10, 2025

IBM Cloudant's Integrations Team develops SDKs and libraries for connecting applications to Cloudant, using various languages and APIs. They seek talented engineers to contribute to tools that simplify Cloudant usage, with opportunities in Go, Java, Node.js, Python, and more.

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.

Selection Specialist English Speaker AND (Spanish OR French OR Italian OR German)

Company: IBM

Location: BUDAPEST, HU

Posted Dec 10, 2025

This job description outlines a recruitment specialist role with responsibilities including collaborating with hiring managers, utilizing data insights, and mentoring team members. It emphasizes continuous learning, agile methodologies, and a growth mindset while requiring bilingual fluency and experience with ATS tools.

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.

P-TECH Winter Internship 2026

Company: IBM

Location: Seoul, KR

Posted Dec 10, 2025

This text promotes IBM's internship program emphasizing innovation, collaboration, and professional development opportunities for PTECH students in Korea. It highlights the chance to work on impactful projects, gain technical skills, and experience IBM's culture while preparing for future careers.

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.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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