Senior Cloud data platform techlead
Bengaluru (Nagavara)
NXP Semiconductors
Senior Cloud Data platform tech lead
NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.
The Cloud CoE is responsible for defining Strategy and policy for cloud computing, driving, and implementing cloud services and platforms, running proof of concepts, piloting emerging cloud technologies (e.g. GenAI, Machine Learning) and supporting business-initiatives in adapting cloud technologies (including organizational change).
As the Senior Cloud Data platform Tech lead, you are challenged to create cloud data platform solutions in line with vision and stakeholder expectations. The ideal candidate will have a solid understanding of data solutions, cloud computing and technology systems. You have the ability to work closely with customers to understand their technology and business needs, and design scalable, highly available and resilient cloud data solutions based on these business needs. We are looking for someone who possesses a balance of technical proficiency, business knowledge, with strong communication skills. You should have a positive attitude and excellent communication skills to effectively share your knowledge.
Your Responsibilities
- Ensure that the cloud data platform solutions support the data use-case in alignment with business goals and its requirements.
- Ensure that the Cloud data platform has all enablers/features in place to support the variety of data value cases in the business.
- Design, implement and maintain secure, compliant, cost-effective, and fully automated cloud data solutions to enable a smooth and secure way for business and IT teams to develop and deploy cloud-based services (including the associated documentation).
- Design and implement processes and tooling to monitor, improve and optimize the operational, security and performance health status of cloud products and services. By applying techniques of continuous verification & delivery to ensure the quality of our products and services. You built it, you run it.
- Collaborate with stakeholders (business, enterprise architects, solution architects, and engineers) to understand and break-down business goals into technical requirements, functional/non-functional requirements, and desired features.
- Work closely with team members to implement solutions for customers, this may include cloud (data) DevOps engineers, data platform engineers, solution architects, security architects.
- Provide leadership to Data DevOps teams in implementing cloud data solutions, in troubleshooting and resolving technical issues.
- Be evangelist of cloud computing to the rest of NXP
- Stay updated on the latest developments in cloud platforms (e.g., AWS, Azure).
- Collaborate with cross-functional teams (business and IT) to ensure successful project delivery.
- Actively participate in communities / forums / guilds on cloud computing and data solutions (e.g. Generative AI, Machine learning) (both external and internal to NXP)
Job Qualifications
- Masters or bachelor’s degree in computer science / software engineering
- 5+ or more years of tangible experience designing, executing and supporting IT cloud solutions.
- Understand (business) requirement and translate these in technical solutions.
- Proven experience in software engineering techniques, cloud-native architecture and supporting tooling.
- Prior experience in working on cloud platforms (Azure, AWS, GCP, or similar) and microservice-architecture oriented solutions is a definite plus.
- Azure or AWS Certification and the ability to learn and understand new technologies quickly.
- Knowledge of the DevOps culture and principles.
- Up to date and proven experience with CI/CD pipelines and supportive tooling
- Up-to-date knowledge of cybersecurity threats, current best practices, and latest software.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CI/CD Computer Science DevOps Engineering GCP Generative AI Machine Learning Pipelines Security
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