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Site Reliability Engineer

3 months ago


Mumbai, India Cyber Sphere LLC Full time

SALARY : 40LPA - 60LPA


We are seeking a talented and experienced Site Reliability Engineer (SRE) to join our team. As an SRE, you will play a crucial role in ensuring the reliability, scalability, and performance of our Azure AI Services platform. You will work closely with cross-functional teams to design, implement, and maintain robust infrastructure and automation solutions

Qualifications :

- 6+ years of Software Engineering experience

- BS Engineering/Computer Science or equivalent experience required

Responsibilities :

- Design, deploy, and maintain a highly available and scalable data infrastructure on Azure open ai , databases and event driven services

- Monitor and optimize the performance of AI workloads

- Collaborate with cross-functional teams, including data engineers, data scientists, and developers, to provide technical guidance and support in implementing best practices.

- Ensure data governance policies and practices are followed to maintain data integrity, security, and compliance.

- Troubleshoot and resolve issues related to data infrastructure, working closely with operations and development teams.

- Implement automation and monitoring tools to streamline operations and improve system reliability.

- Plan and execute disaster recovery procedures and backup strategies for data platforms.

- Stay up to date with industry trends and emerging technologies related to data management, analytics, and cloud computing.

Requirements :

- Proven experience as an SRE or similar role, with a focus on data infrastructure and analytics.

- Strong expertise in managing and optimizing Azure open ai or event driven applications in azure

- In-depth knowledge of data governance principles, data security, and compliance requirements.

- Experience with performance optimization techniques for large-scale data processing and analytics workloads.

- Experience managing Azure cloud services, including compute, storage, networking, and security.

- Familiarity with AI services, particularly OpenAI, for implementing machine learning and natural language processing solutions.

- Proficiency in Terraform for infrastructure as code management and automation.

- Any database knowledge is required, including SQL and NoSQL databases, for data storage and management.

- Proficiency in scripting and automation using languages such as Python, PowerShell, or Bash.

- Familiarity with cloud platforms, preferably Microsoft Azure, and related services (Azure Data Factory, Azure Data Lake Analytics, etc.).

- Solid understanding of containerization technologies, such as Docker and Kubernetes.

- Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed data environment.

- Excellent communication and collaboration skills to work effectively with cross-functional teams

Desirable Skills :

Desirable - AWS / Azure /Kubernetes Certifications

(ref:hirist.tech)