Software Development Engineer – Azure CLI / Azure PowerShell

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Penang, Daerah Timor Laut, Penang
In-Office
Artificial Intelligence
The Role

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

Overview

We are hiring software development engineers to join a dynamic team focused on cloud platform tooling:
-  Engineers specializing in Python for command-line interface development.
-  Engineers specializing in C# for PowerShell module development.
This role offers the opportunity to contribute to widely used developer tools, collaborate with global engineering teams, and work on impactful projects that support cloud infrastructure and automation.

Responsibilities
  • Design, develop, and maintain features for Azure CLI (Python) or Azure PowerShell (C#).
  • Write clean, scalable, and well-documented code.
  • Participate in code reviews and contribute to engineering best practices.
  • Collaborate with global teams to deliver high-quality solutions.
  • Engage in open-source development and CI/CD workflows.
Required Qualifications
  • Bachelor’s degree or higher in Computer Science or related field, or equivalent work experience.
  • Minimum 2 years of software development experience.
  • Deep knowledge of Python (for CLI) or C# (for PowerShell).
  • Strong problem-solving and design skills.
  • Demonstrated passion for quality, performance, and engineering excellence.
  • Familiarity with open-source development practices.
  • Proficient in English (writing, reading, listening, and speaking)
Preferred Qualifications
  • Ability to communicate in Mandarin.
  • Experience with CI/CD pipelines and tools.
  • Knowledge of cloud computing platforms (Azure/AWS/GCP).
  • Experience using automation and DevOps tools (Git) to support and manage CI/CD pipelines.
  • Strong troubleshooting and analytical skills with complex technical systems.
  • Windows and Linux server hands-on system experiences.
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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The Company
HQ: Redmond, WA
2,900 Employees

What We Do

Zero distance innovation for GenAI creators and industries

Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment

We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers.

We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases.

These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.

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