Data Engineer • Former Employee
Pros: Global Brand & Recognition
IBM is one of the most respected tech companies globally. Having it on your résumé adds credibility.
🧠 Learning & Training Opportunities
Access to internal platforms like Think Academy, IBM SkillsBuild, and external certifications (AWS, Azure, Coursera).
Strong culture of continuous learning, especially in AI (Watson), cloud, and data science.
🔁 Internal Mobility
You can switch between departments, roles, and even geographies fairly easily once you're in.
Cons: Bureaucracy & Legacy Structure
It's a huge company, and decisions can be slow. Legacy processes and approvals can frustrate those used to agile environments.
📈 Limited Career Acceleration (in some tracks)
Promotions and raises can be slow in certain service-based or offshore roles. Recognition may lag behind effort.
💵 Compensation Variability
While some roles pay well, many internal tech or GBS (consulting) roles offer below-market compensation, especially for early/mid-career engineers.
🧱 Siloed Teams
Some teams work in silos, making cross-functional collaboration and innovation harder unless you're proactive.