Senior SRE & Data Engineer

Job Summary

We’re looking for a high-energy, highly motivated Senior level SRE & Data Engineer that will be a key member of the SRE team within Spot by NetApp organization. 

The Senior SRE & Data Engineer will work across a vast array of cloud-based mission-critical systems, services, and technologies with a focus on databases, aiming to build an autonomous, monitored, fault-tolerant infrastructure that is optimized for both simplicity and uptime. The senior SRE & Data Engineer will collaborate with the backend, frontend and DevOps engineering teams to ensure that product solutions are scalable, efficient, and reliable.  

The senior SRE & Data Engineer will design infrastructure to support our massive growth and work with the team to maintain the highest level of service. 

Key Responsibilities: 

Assist in the design, construction and improvement of the SRE team infrastructure in the areas of monitoring, incident management, change management using infra as a code. 
Mentoring, recommendations for improving and streamlining the database area in the team in aspects of indexes, retention, load, slow queries, user data distribution, troubleshooting, performance degradation, connectivity problems, and other database-related incidents. 
Work on mission critical systems in a large-scale SaaS production environment. 
Work with cloud native advanced technologies and solutions such as Kubernetes, Terraform, ArgoCD, Prometheus and cloud managed services. 
Work closely with application developers and stakeholders to ensure that the database structure is efficient, scalable, and meets the organization's requirements. 
Be responsible for installing and configuring database management systems (such as MySQL, PostgreSQL, MongoDB etc.) across all cloud providers (Azure, GCP, AWS). 
Monitor database performance, analyze query execution plans, and identify bottlenecks or performance issues. 
Perform routine maintenance tasks, such as provisioning, decommission, cost optimization and database upgrades while ensuring compatibility with existing applications and data. 
Oversee data migration projects when transitioning from one database system to another or when consolidating data from multiple sources. 

Job Requirements

• A minimum of 5+ years' experience in a similar role and strong experience in AWS & Azure clouds computing, with a focus on AWS. 
• 5+ years supporting large scale in production applications\services in an SRE or similar role. 
• 5+ years of experience as a DBA/Data Engineer - Advantage 
• Experience working on Production environments taking into consideration high scale, disaster recovery, zero downtime upgrades and migrations. 
• 2+ years of hands-on experience working with large cloud relational MySQL and PostgreSQL database management, maintenance, monitoring, and optimization – Must, columnar and analytical databases (such as ELK, MongoDB) - strong advantage. 
• 5+ years of strong knowledge with Linux based systems, various system-level topics – OS, file system management, networking protocols & technologies such as TCP/IP, SSL/TLS, CDNs. 
• Ability to work in a fast-paced, context-switching environment with teams distributed across multiple time zones. 
• Knowledge and experience with docker and container orchestration (Kubernetes – Preferred). 
• Experience with Infrastructure as code, and deployments performed using descriptive languages such as Ansible & Terraform (Preferred). 
• Scripting Proficiency in Python and Shell (Bash), advanced OOP knowledge in languages such as Python, Java - strong advantage. 
• Self-driven and eager to learn with can-do attitude. 
• Well organized and detail oriented, analytical abilities, and problem-solving. 
• Experience with monitoring and alerting tools such as Prometheus, Grafana & CloudWatch. 
• Good English written and verbal communication and collaboration skills. 
• Bachelor’s or Master's degree in Computer Science, Computer Engineering, or equivalent experience.