Challenging Opportunities For You To Learn And Grow Professionally Jobs

1,890,795 open positions · Updated daily

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.

Java Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves collaborating with global clients on hybrid cloud and AI projects, offering growth opportunities and innovative solutions using advanced technologies.

Software Engineer Intern - AI Accelerators Research

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Research emphasizes innovation, problem-solving, and technological advancement in AI accelerators. The role involves software development, hardware-software co-optimization, and research in AI applications. Required expertise includes AI accelerators, compilers, and prototyping, with a focus on impactful, cutting-edge solutions.

SAP Ariba Consultant

Company: IBM

Location: Kosice, SK

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP Ariba, and opportunities for innovation. It outlines responsibilities including system integration, data management, and team leadership, along with required qualifications and skills.

Kubernetes Platform Engineer (Go, back-end)

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

IBM Cloud's Kubernetes Service, developed with Red Hat, offers job opportunities for engineers. The role involves creating scalable solutions using Go, Ansible, and Terraform, with a focus on customer-centric platforms.

Oracle Cloud Service Logistics Consultant

Company: IBM

Location: London, GB

Posted Dec 09, 2025

IBM CIC offers career growth opportunities, training programs, and a supportive culture focused on innovation and skill development. The role emphasizes collaboration, client impact, and professional advancement through cloud and AI technologies.

Développeur C# .NET expérimenté (Strasbourg)

Company: IBM

Location: Lille, FR

Posted Dec 09, 2025

IBM Consulting offers innovative roles with global clients, focusing on cloud and AI solutions, collaboration, and career development through technical expertise and continuous learning.

Product Manager (Public Sector)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers a dynamic role with career growth, extensive training, and a supportive culture. The position involves leading product strategies and collaborating with diverse teams, requiring expertise in Agile, DevOps, and cloud platforms.

PROCESS DELIVERY SPECIALIST-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and financial processes. It emphasizes growth opportunities, strategic partnerships, and professional development while outlining responsibilities and qualifications for a Process Analyst role.

AI Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This job description outlines a role for an AIML Engineer specializing in Large Language Models, focusing on data collection, LLM integration, and best practices for AI implementation. Responsibilities include designing data pipelines, ensuring compliance with governance standards, and optimizing model deployment. Required skills involve NLP expertise, Python programming, and MLOps knowledge.

Strategy Consultant – Salesforce (f/m/x)

Company: IBM

Location: Bussigny, CH

Posted Dec 09, 2025

This role offers opportunities to work on Salesforce strategies with clients, emphasizing innovation and growth. Benefits include career development, training, and collaboration with global teams.

Application Developer-Azure Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to lead teams through strategic technology platforms. It highlights required skills in full-stack development and Azure, while promoting growth and impactful problem-solving for clients.

Postdoctoral Researcher in Computer Vision and Geospatial Analytics

Company: IBM

Location: Riyadh, SA

Posted Dec 09, 2025

IBM Research seeks a postdoctoral fellow with expertise in AI, ML, and climate research. The role emphasizes innovation, collaboration, and cutting-edge technology development through scientific breakthroughs aimed at transforming industry and society.

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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