Challenging Opportunities For You To Learn And Grow Professionally Jobs

1,891,938 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.

Source to Pay Lead

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on leading end-to-end Oracle Source to Pay implementations. It highlights the role's responsibilities, required education, and technical expertise. The position involves collaborating with cross-functional teams, driving process improvements, and mentoring junior consultants.

Application Developer-AWS Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the role of a Brand Technical Specialist. The role involves working closely with clients to develop relationships, understand their needs, and deliver value through IBM's industry-leading solutions. The position requires expertise in mainframe infrastructure, zStack solutions, client education, and cloud technology deals.

SAP Data Lead

Company: IBM

Location: No City, US

Posted Dec 04, 2025

The text describes the role and responsibilities of an SAP Data Migration Lead in IBM Consulting. It highlights the importance of data migration in SAP projects and outlines the key tasks involved, such as project planning, data assessment, stakeholder collaboration, technical execution, testing, documentation, training, compliance, continuous improvement, and leadership. The position requires a bachelor's degree, experience in identifying and solving complex business problems, collaborating with data owners and analysts, working with data architects, and leading technical aspects of SAP Business Intelligence solutions. Preferred experience includes working with specific SAP modules and having expertise in SAP Master Data Governance.

Gestor Documental - Portugues

Company: IBM

Location: Bogota, CO

Posted Dec 04, 2025

The text describes a professional role requiring expertise in contract management, document organization, and compliance. It outlines responsibilities such as contract lifecycle management, coordination with legal and finance teams, and digitalization projects. Required skills include legal knowledge, document management tools, and experience in regulated sectors.

Application Developer-Cloud FullStack

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to develop cloud-based applications using advanced technologies. It outlines role responsibilities, required skills, and preferred experiences in areas like Spring Boot, RESTful APIs, and DevOps methodologies.

Package Consultant-SAP HANA FIN FI

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

This job description outlines a role in IBM Consulting focused on SAP systems, hybrid cloud, and AI initiatives. It emphasizes collaboration with clients, technical expertise in SAP HANA and S4 HANA, and the impact of implementing solutions for innovative companies.

Vendor Risk Management Specialist

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM's procurement role emphasizes innovation, digital transformation, and collaboration with clients. The position requires managing compliance, communication, and process optimization while leveraging AI and emerging technologies in a dynamic environment.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves accounting responsibilities with clients, emphasizing collaboration and career growth opportunities at IBM Consulting.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a Senior Lead ML Data Scientist role at IBM Consulting, focusing on end-to-end ML/AI initiatives using the Databricks ML ecosystem and generative AI. The role involves solutioning, presales engagement, delivery execution, GenAI workloads, MLOps governance, and leadership collaboration.

Backend Support Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that enables the world to work better by providing hybrid cloud infrastructure to meet clients' demands. The role of a Backend Developer involves leading problem resolution, collaborating with teams, and designing automation tools. Required skills include software development expertise, Linux experience, and problem-solving abilities.

IBM Uruguay Students Program

Company: IBM

Location: MONTEVIDEO, UY

Posted Dec 04, 2025

The text is an introduction to IBM's internship program, highlighting the company's focus on innovation, collaboration, and tackling challenging problems. It outlines the roles and responsibilities of interns, required education, and preferred technical and professional expertise.

Ecosystem Engineer Intern

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM is looking for a passionate Ecosystem Engineer Intern to build integrations and sample applications connecting IBM's AI technologies with popular developer tools. The role involves collaborating with teams, engaging with communities, and gaining hands-on experience in ecosystem engineering and developer enablement.

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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