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.

Senior Engineer - HashiCorp Cloud Platform

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

Join IBM's Infrastructure Cloud team to innovate in cloud-native solutions, collaborate on scalable systems, and drive customer-focused projects with a strong emphasis on security and observability.

Package Consultant-SAP HANA SCM MM

Company: IBM

Location: Ahmedabad, IN

Posted Dec 09, 2025

This role involves collaborating with clients on SAP implementations, driving innovation in hybrid cloud and AI, and delivering technical expertise through IBM's global delivery centers. Responsibilities include project leadership, system testing, and configuring SAP modules for inventory management. The position requires 8+ years of SAP experience and offers opportunities to impact clients through strategic technology solutions.

DevOps Cloud Engineer

Company: IBM

Location: San Jose, US

Posted Dec 09, 2025

This job description outlines the responsibilities of a DevOps Cloud Engineer, including designing and managing cloud infrastructure, implementing automation tools, developing CI/CD pipelines, and ensuring security practices. It lists required qualifications such as AWS/Azure expertise, Terraform knowledge, and containerization experience, while also highlighting preferred skills like multicloud deployments and observability tools.

Entry Level Hardware Developer Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's job description emphasizes innovation, collaboration, and problem-solving in cutting-edge tech. It highlights roles in hardware development, required skills in engineering and programming, and a positive outlook on career growth.

IBM Middleware Engineer (ACE / Kafka / MQ) – 24/7 Operations

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The role involves supporting mission-critical middleware systems with a focus on high availability and performance. It offers a collaborative environment with opportunities for career growth and impactful work.

GUI/API Software Developer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

IBM Storage solutions are trusted data platforms seeking a talented Test Developer to join their team in creating innovative storage systems. The role involves designing frontend applications, collaborating with security teams, and ensuring high standards of usability and security. Required skills include React, Node.js, Java, and RESTful APIs, with preferences for GUI automation and Linux scripting.

Infrastructure Specialist - Platform Engineering Services

Company: IBM

Location: Ottawa, CA

Posted Dec 09, 2025

This job posting seeks a Senior System Support Analyst in Ottawa with 10 years of IMIT experience, Secret clearance, and expertise in Citrix XenApp, HL7 protocols, and security architectures. The role involves managing CFHIS solutions, troubleshooting systems, and collaborating in fast-paced environments with strict educational and technical requirements.

Mid Android Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and technical development. Responsibilities include coding, testing, and adopting new technologies, with requirements emphasizing Kotlin, Agile, and team collaboration.

Package Consultant-SAP HANA FIN CO

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description outlines a role in IBM Consulting focused on SAP system configuration, technical consulting, and hybrid cloud/AI initiatives. It emphasizes collaboration with clients, technical expertise in SAP modules, and responsibilities like defect resolution and testing. Requirements include a bachelor's degree, 12+ years of SAP experience, and knowledge of financial instruments.

Delivery Consultant with IBM Verify CIAM skills

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role offers career growth and collaboration in IBM's Technology Expert Labs, focusing on solving client challenges and delivering world-class solutions. It emphasizes technical expertise, innovation, and a supportive culture with opportunities for professional development.

(2026 Campus Hire) Associate Application Consultant | Apply by Jan. 2, 2026

Company: IBM

Location: Taipei, TW

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, technological innovation in hybrid cloud and AI, and professional growth through strategic partnerships and technical expertise. It outlines responsibilities involving data integration, application development, and agile teamwork, alongside educational and skill requirements for the role.

Backend Developer/ DevOps

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

IBM offers career opportunities in cloud-native development, focusing on AI-powered solutions. The role requires expertise in cloud infrastructure, APIs, and containerization, with a preference for advanced degrees and experience in Kubernetes and DevOps tools.

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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