Site Reliability Engineer(SRE) - SDS-Storage Data Services/ Data Engineer/Analytics

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Job Overview

As a Site Reliability Engineer (SRE) focusing on SDS-Storage Data Services/Data Engineer/Analytics, you will play a critical role in maintaining the reliability, scalability, and performance of our storage data services platform. You will work closely with development, operations, and data analytics teams to implement reliable systems and optimize data pipelines. Your responsibilities will include automating processes, monitoring system health, responding to incidents, and ensuring that our data systems meet the ever-evolving needs of the business.

Job Responsibilities

• Design, implement, and maintain system reliability and performance monitoring solutions.
• Automate operational processes to enhance efficiency and reduce manual intervention.
• Collaborate with development teams to ensure seamless deployment and integration of storage services.
• Respond to incidents, troubleshoot issues, and perform root cause analysis to prevent recurrence.
• Develop data pipelines to facilitate the processing and analysis of large datasets.
• Manage container orchestration and facilitate continuous deployment of applications.
• Ensure system availability by enforcing SLAs and performing regular system performance assessments.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 3+ years of experience in Site Reliability Engineering, DevOps, Data Engineering, or a similar role.
• Strong proficiency in scripting and programming languages such as Python, Go, or Java.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and container technologies (e.g., Docker, Kubernetes).
• Familiarity with database technologies (e.g., SQL, NoSQL, Hadoop) and data processing frameworks (e.g., Spark, Apache Kafka).
• Understanding of monitoring tools (e.g., Prometheus, Grafana, ELK Stack) and incident management practices.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Technologies & Tools

This position necessitates familiarity with various technologies and tools essential for maintaining and developing reliable data services. Key technologies include cloud infrastructure services such as Amazon Web Services (AWS) or Google Cloud Platform, containerization tools like Docker and Kubernetes, along with automation frameworks and CI/CD pipelines. Proficiency in programming languages like Python or Java, as well as data management systems including both SQL and NoSQL databases, is critical for successful performance in this role.

Ideal Candidates

The ideal candidates for this position exhibit a blend of technical proficiency, problem-solving abilities, and a strong teamwork ethic. They possess a proactive approach toward identifying inefficiencies and implementing solutions. A strong desire for continuous learning and adaptation is essential, as the technology landscape is continuously evolving. Furthermore, they should be able to communicate effectively with cross-functional teams, embracing a culture of collaboration and innovation to enhance system reliability and operational excellence.