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.

IT Lab Tech Apprentice

Company: IBM

Location: TUCSON, US

Posted Dec 15, 2025

The IBM Infrastructure Lab Technician Apprentice role offers hands-on experience in hardware support, learning opportunities, and career growth within a structured apprenticeship program. It emphasizes collaboration, technical skills development, and real-world application of knowledge in a dynamic work environment.

Fullstack Developer

Company: IBM

Location: Ahmedabad, IN

Posted Dec 15, 2025

The text describes a Software Developer role at IBM's Sustainability Software business unit, emphasizing collaboration with global teams, software delivery cycles, Agile methodologies, and required technical expertise in technologies like React, Java, and cloud platforms. It outlines responsibilities including system design, code reviews, and automated testing.

Site Reliability Engineer II (Apptio)

Company: IBM

Location: Krakow, PL

Posted Dec 15, 2025

IBM promotes a forward-thinking work environment where innovation and collaboration drive cloud technology leadership. The role of a Site Reliability Engineer involves maintaining cloud infrastructure, solving complex problems, and working across teams to deliver mission-critical services with a focus on reliability and performance.

Project Manager-SAP HANA

Company: IBM

Location: Taipei, TW

Posted Dec 15, 2025

This text describes a career opportunity in IBM Consulting, emphasizing strategic leadership in SAP solutions, team management, and comprehensive delivery of innovative technology implementations. It highlights required expertise in SAP systems, AI, and cybersecurity, while showcasing the impact of collaborative client relationships.

SAP SD-SLS Support Technician

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description outlines a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP modules, and contributions to innovation through IBM's technology platforms. Responsibilities include implementation, testing, and support of SAP systems, with requirements for a bachelor's degree and 14 years of experience in relevant technical areas.

Principal Engineer, HashiCorp Integrations

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This role involves leading AI-driven Terraform initiatives to enhance cloud solutions, focusing on agentic resource management and provider automation within IBM's Infrastructure Lifecycle team. The position emphasizes strategic leadership, innovation, and technical expertise to drive commercial differentiation and operational excellence.

PTP- Project Manager

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation through agile methodologies and AI, and opportunities for innovation. It emphasizes growth, mentorship, and technical expertise in finance domains with a strong emphasis on process improvement and technology integration.

Technical Consultant-IoT & Edge Computing

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration, leveraging IoT and AI to drive digital transformation in the automotive industry. The role emphasizes technical expertise, analytical skills, and cross-functional teamwork to deliver impactful solutions for clients.

Business Transformation Consultant-IoT & PLM

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting involving technical expertise in ARAS PLM implementation, requirements gathering, and development projects. It specifies educational requirements, technical skills in SQL server and PLM concepts, and preferred qualifications like a master's degree and ARAS customization experience.

AR Contact Center Practitioner

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a customer service role at IBM's consulting centers, emphasizing responsibilities like handling customer queries, providing technical support, and maintaining professionalism. It highlights required skills, work environment, and career development opportunities.

PROCESS DELIVERY SPECIALIST-LEASE AND CONTRACT ADMINISTRATION

Company: IBM

Location: Chennai, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on digital transformation through collaboration with global clients. It emphasizes opportunities for growth, strategic partnerships, and impactful work in hybrid cloud and AI initiatives. The role requires expertise in learning administration, technical skills, and strong communication abilities.

Java Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights the role's focus on technical expertise, problem-solving, and impactful work with cutting-edge technologies, while also outlining required skills and preferred qualifications.

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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