Challenging Opportunities For You To Learn And Grow Professionally Jobs

1,890,948 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.

Data engineer- Data platforms (GCP) H/F - IBM Client Innovation Center Paris/île de France

Company: IBM

Location: Lille, FR

Posted Dec 09, 2025

The text promotes IBM Consulting job opportunities emphasizing collaboration with global clients, innovation in cloud and AI solutions, and career growth through technical expertise and strategic partnerships. It highlights required skills in data engineering, cloud technologies, and problem-solving while showcasing a supportive work environment with development opportunities.

Software Developer - DevOps

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description highlights a DevOps Enablement role at IBM, emphasizing opportunities to work on innovative AI-powered cloud-native solutions, collaborate across teams, and contribute to reliable enterprise-grade financial applications. The position requires expertise in DevOps practices, scripting, and automation tools while offering growth prospects within a global organization.

Application Architect-Microsoft .NET

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The role involves collaborating with clients on hybrid cloud and AI projects, requiring expertise in Microsoft technologies and agile methodologies. Responsibilities include software development, problem-solving, and continuous learning within IBM's delivery centers.

SAP Fieldglass Support Engineer

Company: IBM

Location: Sofia, BG

Posted Dec 09, 2025

IBM Consulting emphasizes long-term client relationships and growth opportunities. The SAP Fieldglass Support Engineer role requires technical expertise and collaboration, with a focus on system stability and innovation in a dynamic environment.

Package Consultant-SAP HANA FIN TR

Company: IBM

Location: Pune, 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 technical expertise in SAPFINTR implementations. It outlines responsibilities like project leadership, testing, and system solutions while highlighting required education and preferred skills.

SAP Fiori Developer

Company: IBM

Location: Giza, EG

Posted Dec 09, 2025

This job description outlines a role in IBM Consulting focused on SAP Fiori development, emphasizing collaboration with global clients, technological innovation, and career growth opportunities. It details responsibilities like designing applications, working with SAP technologies, and participating in Agile methodologies, along with required qualifications and preferred experiences.

Security Device Analyst

Company: IBM

Location: WROCLAW, PL

Posted Dec 09, 2025

This text describes a job posting for an IBM SOC Security Device Analyst role in Poland, outlining responsibilities related to cybersecurity operations, required education (bachelor's degree), preferred qualifications (master's degree), and technical expertise in network security tools and certifications. It details the work model with 24/7 coverage and emphasizes skills in troubleshooting, device monitoring, and incident analysis.

Senior SAP PP/QM consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves supporting SAP PP and QM modules, collaborating with clients, and requiring expertise in SAP systems, process optimization, and technical tools. The position emphasizes teamwork, system stability, and integration with other modules.

Package Consultant-SAP HANA SCM MM

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on long-term client relationships, global collaboration, and leveraging IBM's technology platforms to drive innovation. The role requires SAP expertise, project management skills, and experience with Indian market-specific requirements like GST and EInvoicing.

AI/ML Engineering internship: SVL

Company: IBM

Location: San Jose, US

Posted Dec 09, 2025

This job description outlines the role of an AIML Engineer intern at IBM's Automation and AI group, focusing on machine learning, LLM integration, and data governance. Responsibilities include data collection pipelines, model optimization, and establishing AI best practices. Requirements emphasize education in computer science or related fields, programming skills, and experience with ML frameworks.

Designer-Digital Product Engineering

Company: IBM

Location: Taipei, TW

Posted Dec 09, 2025

IBM seeks a passionate UX Designer to create impactful user experiences in financial and tech sectors. The role involves end-to-end design, collaboration, and innovation, offering opportunities for growth and impactful contributions.

Analista de Infra

Company: IBM

Location: NO City, BR

Posted Dec 09, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in DevOps and SRE, and required skills in Kubernetes, monitoring tools, and CI/CD pipelines. It highlights opportunities for innovation and impactful work with innovative companies.

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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