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.

Package Consultant-SAP HANA FIN FI

Company: IBM

Location: Mumbai, IN

Posted Dec 10, 2025

This job description highlights a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with global clients, strategic SAP solutions, and career growth opportunities. It outlines required expertise in SAP FICO, project experience, and communication skills for client-facing roles.

Client Growth Lead - Cybersecurity Services

Company: IBM

Location: Ciudad Autónoma De Buenos Aires, AR

Posted Dec 10, 2025

IBM Consulting offers career growth through client collaboration, innovation in hybrid cloud and AI, and strategic partnerships. The role involves consultative sales, cybersecurity expertise, and networking to drive business success.

Business Analyst in Banking sector (French speaking) (f/m/x)

Company: IBM

Location: Bussigny, CH

Posted Dec 10, 2025

This role involves working with clients to drive innovation and career growth, requiring technical expertise and collaboration skills. The position emphasizes long-term relationships, global collaboration, and professional development opportunities within IBM's ecosystem.

Package Specialist-SAP Cloud Integration

Company: IBM

Location: Coimbatore, IN

Posted Dec 10, 2025

This job description outlines a role in IBM's consulting delivery centers, requiring technical expertise in SAP CPI, configuration management, communication skills, and experience with software development and testing. It specifies educational qualifications and preferred qualifications for candidates.

Application Developer-Commerce Transformation (Magento)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 10, 2025

This text describes a career in IBM Consulting, emphasizing global client collaboration, innovation in hybrid cloud and AI, and technical expertise. It outlines role responsibilities requiring coding skills, cloud architecture knowledge, and DevOps experience, while highlighting the impact of strategic partnerships and technology platforms.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity at IBM Consulting focusing on collaboration with global clients, digital transformation, and career growth. It highlights roles in recruitment, process analysis, and innovation within a supportive ecosystem.

Technical Support Professional

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This job description outlines a remote support engineer role requiring expertise in Linux storage systems, Kubernetes, and Ceph/OpenShift technologies. Responsibilities include providing technical support to enterprise customers, collaborating with engineers to develop solutions, contributing to knowledge bases, and ensuring customer satisfaction through effective communication and problem-solving. The position emphasizes teamwork, troubleshooting skills, and experience with specific technologies.

Application Consultant-DevOps

Company: IBM

Location: Kochi, IN

Posted Dec 10, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities to drive impactful solutions through agile frameworks and advanced technology platforms.

Learning Facilitator, L & K Faculty Shared Services

Company: IBM

Location: Mexico City, MX

Posted Dec 10, 2025

This job posting outlines a faculty position requiring expertise in delivering IBM Consulting Partner & Professional Development programs globally. The role involves training, collaboration with development teams, and a two-year commitment with classroom delivery and coaching responsibilities. Qualifications include consulting experience, facilitation skills, and knowledge of IBM strategies.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This role involves collaborating with clients on SAP solutions and innovative projects, offering growth opportunities and technical expertise in IBM's consulting environment.

Customer Success Engineer

Company: IBM

Location: CORAL GABLES, US

Posted Dec 10, 2025

This text describes a career opportunity at IBM Software focusing on customer success engineering roles. It highlights the team's expertise in transforming customer challenges into industry-leading solutions, emphasizing cloud-native AI-powered software development. The role involves managing infrastructure and security lifecycle, driving customer adoption of HashiCorp tools, and ensuring timely renewals. Requirements include technical expertise in cloud and DevOps, strong communication skills, and experience with HashiCorp tooling.

DevOps Cloud Engineer

Company: IBM

Location: Kochi, IN

Posted Dec 10, 2025

This job description outlines the role of a DevOps Cloud Engineer, detailing responsibilities such as designing cloud infrastructure, implementing automation tools, and maintaining CI/CD pipelines. It specifies required skills in AWS, Terraform, Kubernetes, and certifications, while emphasizing collaboration with development teams and on-call availability.

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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