AI & Data Engineer

IBM

Quick summary

Work type
On-site
Location
San Jose, CA
Posted
17 days ago

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Salary context

How this pay compares to similar roles

Similar $179k
$126k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $142,400–$216,037.

Based on 240 similar postings.

Employer

About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 743 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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At a glance

TL;DR · AI & Data Engineer

We are seeking a mid-level software engineer to join our dynamic development team focused on implementing and integrating new features into our scalable SaaS platform. This role involves daily tasks such as writing clean, maintainable code, conducting thorough testing, deploying updates, and providing ongoing support to ensure high-quality user experiences. The ideal candidate will have strong proficiency in Python, JavaScript, and SQL, along with experience using Docker for containerization and Jenkins for continuous integration. Familiarity with agile methodologies is essential, as well as a solid understanding of cloud services like AWS or Azure. This position offers the opportunity to work on complex business problems within a fast-growing tech company that values innovation and collaboration.

What you'll do

  • Implement and integrate software solutions according to project requirements.
  • Conduct thorough testing of applications before deployment to ensure quality.
  • Deploy software updates and maintain system stability post-release.
  • Document technical processes and configurations for future reference.
  • Identify reusable components in projects to enhance efficiency and scalability.

What we're looking for

  • Minimum 5 years of hands-on software development experience in Java or Python.
  • Proven track record in implementing complex systems integration projects.
  • Expertise in testing methodologies and continuous deployment practices.
  • Strong problem-solving skills with a focus on production support issues.
  • Excellent documentation skills for creating reusable code libraries and frameworks.

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