Google Cloud Platform DevOps Engineer
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Job Description
Google Cloud Platform DevOps Engineer
We are seeking a highly skilled and innovative Google Cloud Platform DevOps Engineer with expertise in AI and Machine Learning. The ideal candidate will have a deep understanding of cloud-based services and a strong background in developing and maintaining infrastructure that interfaces with AI and ML models. This role requires a unique blend of technical proficiency, problem-solving skills, and the ability to work with abstract concepts and cutting-edge technologies.
Required Skills
- Strong experience in DevOps engineering, particularly within Google Cloud Platform environments.
- Proficiency in writing code that interfaces with AI and ML models, using languages such as Python, Java, or similar.
- Experience with grounding models and ensuring alignment of AI/ML outputs with business goals.
- Demonstrated ability to stand up and manage cloud-based services, particularly in Google Cloud Platform, that support AI/ML workloads.
- Proven problem-solving skills, with the ability to tackle complex, vague, or undefined challenges.
- Experience in creating wrapper services and APIs to facilitate developer interaction with AI/ML models.
- Familiarity with working in fast-paced, innovative environments where concepts and requirements are continually evolving.
- Excellent communication skills and the ability to work collaboratively in a cross-functional team.
About Palnar
PALNAR, the trade name of Palayekar Companies Inc. founded in 1997, delivers global software and technology services. Headquartered in Cranbury, New Jersey - United States, with operations in India (Noida and Goa), PALNAR provides software consulting, development, IT Support service and ongoing technology support worldwide.
Key skills/competency
- Google Cloud Platform
- DevOps
- AI/ML Integration
- Python
- Java
- Cloud Infrastructure
- API Development
- Problem-solving
- Cross-functional collaboration
- Scalable systems
How to Get Hired at Jobs via Dice
- Research Palnar's culture: Study their mission, values, global software services, and employee testimonials on LinkedIn and Glassdoor to understand their approach to innovation and technology.
- Tailor your resume for GCP DevOps: Highlight extensive experience with Google Cloud Platform services, DevOps practices, AI/ML model integration, and proficiency in Python or Java specific to cloud environments.
- Showcase problem-solving skills: Prepare concrete examples of how you've tackled complex, vague, or undefined challenges in previous DevOps or AI/ML infrastructure roles, demonstrating your analytical and innovative thinking.
- Demonstrate cloud and AI/ML expertise: Be ready to discuss specific projects where you've successfully stood up and managed GCP cloud services supporting AI/ML workloads, including creating wrapper services and APIs.
- Prepare for collaborative discussions: Emphasize your excellent communication skills and experience working effectively in fast-paced, cross-functional teams, as this is crucial for the Google Cloud Platform DevOps Engineer role at Palnar.
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