Senior DataOps Engineer

Power the Future with us!

At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide.

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond.

With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work.

We're looking for a DataOps Engineer to join our Cloud Group!

Responsibilities:

• Maintaining our DB servers
• Providing support and guidelines to the Development Teams
• Monitor Development teams implementations, using a wide range of tools such as Ansible, Git, Grafana, Phyton, and more
• Focusing on improving Data platform performance, and working together with the development teams to improve code performance and designing SolarEdge future data platform.

Requirements:

• 4-5 years of experience as an infrastructure DBA\dataops position managing one of the following: Mysql, MariaDB, Oracle , Cassandra
• Proficiency with Linux servers
• Query tunings
• strong with TWO of the following automation tools: python\ bash\ ansible
• Ability to work both independently and as part of a team
• Passion, Curiosity, dedication, and desire to be the best and continue learning new processes and technologies

Advantage:

• Experience with DevOps tools (git, Jenkins, GitLab, ansible, terraform, Prometheus, Grafana, Kubernetes) – a big advantage
• experience with nifi\kafka
• Experience with AWS\Vmware
• Knowledge of Any Data platform in AWS
• Performance tunings and performance issues debugging