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.

Package Specialist-SAP Cloud Integration

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in SAP CPI, strong communication skills, and experience with configuration management. Candidates must hold a bachelor's degree and demonstrate analytical abilities, defect resolution skills, and end-to-end project experience.

Business Transformation Consultant

Company: IBM

Location: Dublin, IE

Posted Dec 15, 2025

This job posting seeks a Business Change and Training Consultant to lead transformation initiatives, manage stakeholder engagement, and deliver training programs for a major client's digital transformation efforts. The role emphasizes change management, training strategy, and collaboration with cross-functional teams to ensure successful adoption of new systems.

Technical Support Professional

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 15, 2025

IBM's Technical Support Professional role emphasizes innovation, career growth, and technical expertise. It requires strong communication, problem-solving, and collaboration skills, with opportunities for professional development in cloud and software solutions.

Application Developer-Experience Front End

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting, emphasizing long-term client relationships, global collaboration, and innovation in hybrid cloud and AI solutions. It outlines responsibilities involving software development, technical expertise, and working within IBM's delivery centers to drive technological adoption. The role requires advanced technical skills and experience with tools like ReactJS, TypeScript, and Java, while also valuing interpersonal skills and problem-solving abilities.

Package Specialist-SAP SCM MM

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

IBM Consulting offers career opportunities focused on client collaboration, innovation in hybrid cloud and AI, and professional growth through strategic partnerships and technical expertise.

Project Manager-ADM

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting's Client Innovation Centers, focusing on leading SAP projects with expertise in technical implementation, project management, and team leadership. It requires a bachelor's degree, specific technical skills, and experience in managing client relationships and project deliverables.

SAP HANA ABAP Developer

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on long-term client relationships and collaboration across industries. It highlights opportunities to work on hybrid cloud and AI initiatives with innovative companies, emphasizing technical expertise in ABAP, HANA, and DevOps tools. The role involves delivering solutions through IBM's global delivery centers and requires specific educational and technical qualifications.

Tester/Validation Analyst - Change Management

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI advancements, and technical expertise in testing tools. The role emphasizes impactful work with strategic partners and robust technology platforms.

Site Reliability Engineering Level 2 GCP and Azure

Company: IBM

Location: Mexico City, MX

Posted Dec 15, 2025

The job description outlines SRE responsibilities for ensuring cloud application availability, requiring expertise in GCP/Azure, observability tools, automation, and collaboration with teams. It emphasizes reliability, system scaling, and documentation of best practices.

Data Engineer-Data Integration

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a Data Engineer role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI, and career growth opportunities. Responsibilities include ETL support, problem-solving, and data governance, with qualifications focusing on technical expertise and cloud platforms.

Business Transformation Consultant-IoT & PLM

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This job description outlines a role in IBM's delivery centers focusing on ARAS PLM development, requiring technical expertise in configuration, customization, and integration. It specifies educational qualifications, preferred skills in PLM domains, and experience with SQL Server and REST/SOAP technologies.

Collections Practitioner

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a job role for an Accounts Receivable Collections Specialist, outlining responsibilities such as handling customer transactions, credit management, and dispute resolution. It emphasizes technical skills, teamwork, and meeting business metrics while balancing routine tasks with opportunities to solve complex problems. The role requires experience in finance, ERP systems, and customer relationship management.

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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