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.

SAP ABAP Developer

Company: IBM

Location: Islamabad, PK

Posted Dec 09, 2025

This text describes a career in IBM Consulting focused on collaborating with global clients to enhance hybrid cloud and AI solutions. The role involves designing SAP applications, integrating systems, and maintaining technology platforms. Required skills include SAP ABAP development, HANA integration, and stakeholder management.

QA/Test developer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

This job description highlights IBM's role as a dynamic team focused on software quality assurance, emphasizing opportunities to innovate, collaborate, and solve complex problems through automation and continuous improvement. The position requires technical skills in Python, Git, and Agile methodologies, while offering growth in cloud technologies and QA best practices.

Cloud Database Reliability Engineer (DBRE)

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

This job description outlines a role for a cloud developer specializing in database operations within IBM Cloud's Kubernetes environment. The position requires expertise in databases like PostgreSQL, Redis, and MongoDB, along with experience in automation, troubleshooting, and production operations. Both required and preferred qualifications emphasize technical skills in cloud platforms, containerization, and database management systems.

System Services Representatives - 초대졸 신입사원

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines the role of IBM TLS Systems Services Representatives, requiring technical expertise in hardware/software support, client communication, and continuous learning. Responsibilities include onsite maintenance, problem resolution, and ensuring client satisfaction through collaboration with teams and adherence to technical strategies.

Application Architect-RDBMS

Company: IBM

Location: Mumbai, 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 database administration. It outlines responsibilities involving application support, infrastructure changes, and proactive monitoring, while highlighting educational requirements and preferred qualifications.

Chief Hardware Engineer for Storage Platforms

Company: IBM

Location: Houston, US

Posted Dec 09, 2025

This text describes the IBM Storage Infrastructure Design Team's role in developing storage solutions, requiring technical expertise in hardware, software, and collaboration with vendors. It outlines responsibilities, skills, and educational requirements for engineers in this field.

Lead Logic Design Engineer - Core Units Front end platform

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a Hardware Engineer role at IBM Systems Lab involving design and development of high-performance processors, working with elite teams, and requiring expertise in CPU architecture, RTL design, and silicon bring-up experience.

【大阪】アプリケーションアーキテクト(産業領域)

Company: IBM

Location: Osaka, JP

Posted Dec 09, 2025

This job description highlights opportunities in IBM Consulting, emphasizing collaboration with global clients, career growth, and innovative projects in hybrid cloud and AI. Responsibilities include leading teams, managing projects, and working with technologies like Java and cloud platforms.

Data Engineer-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This job description highlights opportunities in IBM Consulting's innovation centers, emphasizing collaboration with global clients, technological expertise, and career growth. It outlines responsibilities like developing customized systems, working with agile methodologies, and leveraging cloud technologies. Requirements include a bachelor's degree, Python/Spark experience, and problem-solving skills.

Associate System Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role offers opportunities to work on hybrid cloud and AI projects with global clients, emphasizing collaboration, innovation, and career growth. Required skills include programming in Java, C++, Python, and a bachelor's degree.

Software Engineer - Quality and Performance

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This job posting highlights a role in developing testing frameworks for a distributed serverless database platform, emphasizing challenges in scalability, resilience, and AI integration. The position requires expertise in distributed systems, chaos testing, and cloud technologies, with opportunities to shape test infrastructure for global mission-critical workloads.

HR onboarding professional for AP

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines the role of an Onboarding Specialist in HR Operations, emphasizing seamless onboarding experiences, Japanese language proficiency (JLPT N2), 23 years of HR experience, and skills in Microsoft Office and HRIS platforms. The position requires creating positive employee experiences while ensuring compliance with HR policies and operational excellence.

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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