Cloud Operations & Site Reliability Engineer, ScyllaDB
Customer Engineering & CSM
More information about location
Real-time noSQL database
Be an early applicant
Real-time noSQL database
101-200 employees
Be an early applicant
More information about location
101-200 employees
Company mission
To provide clients with the best value, most rapid, and most scalable NoSQL database so that they can reduce their operational complexity and improve performance across the world.
Role
Who you are
- If you are passionate about working in a fast-paced environment, collaborating with cross-functional teams, and driving continuous improvement, this role is tailored for you
- 3+ years of experience in public cloud platforms (AWS, GCP, Azure)
- 3+ years of Linux system operations and metrics analysis
- Strong scripting skills in Python and Bash
- Experience with reporting and visualization tools such as Splunk, Grafana, Prometheus, and Kibana
- Excellent written and verbal English communication skills
- Exceptional organizational skills and ability to manage multiple projects concurrently
- Ability to work both independently and collaboratively within cross-functional teams
- Strong problem-solving skills, especially under pressure
- Eagerness to continuously learn and adapt to emerging technologies
- Familiarity with container technologies like Docker and Kubernetes
- Familiarity within automation tools such as Ansible and Terraform
Desirable
- Proficiency with automation tools such as Ansible and Terraform
- 3+ years of Kubernetes experience
- Proven expertise in NoSQL database deployment, management, and data modeling
What the job involves
- As a Scylla Cloud Operations & SRE Engineer, you will play a vital role in maintaining the operational excellence of our cutting-edge NoSQL database platform, Scylla Cloud
- Leveraging your expertise in cloud infrastructure, Kubernetes, and system operations, you will ensure the reliability, scalability, and performance of our cloud offerings
- Collaborate with the Cloud Operations & SRE team to ensure the smooth day-to-day operation of Scylla Cloud. Monitor system health, troubleshoot issues, and proactively address any operational challenges
- Assist and perform upgrades for Scylla Cloud, including Scylla database versions, OS upgrades, and security patches. Collaborate with DevOps/Cloud Engineering to ensure seamless upgrade processes
- Participate in scaling up and down Scylla Monitor & Scylla Managers servers based on demand. Employ proactive monitoring strategies to identify and address potential performance bottlenecks and resource constraints
- Act as a liaison with the Support Organization to address cloud platform-related issues. Respond to tasks and tickets escalated by Support Staff, and collaborate to ensure timely resolutions
- Develop and maintain a comprehensive runbook that can be leveraged by Support Staff to troubleshoot and resolve common issues, improving efficiency in issue resolution
- Create scripts and automation solutions to streamline operational tasks and enhance efficiency. Contribute to the development of automation strategies for cloud infrastructure management
- Feature Requests: Collaborate with the Cloud Engineering team to define and create feature requests that enhance the functionality and performance of Scylla Cloud
- Conduct regular cluster health and performance audits, identifying areas for optimization. Implement strategies to enhance the efficiency and reliability of Scylla Cloud clusters
- Work closely with the Customer Success team to ensure that provisioned resources align with customer needs and purchased packages. Provide insights into potential scaling opportunities and usage optimization
- Demonstrate a deep understanding of public cloud environments (AWS, GCP, Azure), Kubernetes, Linux system operations, and NoSQL database deployment/management. Apply this knowledge to resolve complex technical challenges
- Utilize scripting languages like Python, Terraform, Ansible and Bash to create automation tools that enhance operational efficiency
- Cross-Functional Collaboration: Collaborate closely with Support and Engineering teams to address issues, drive improvements, and implement customer-focused solutions
Our take
SaaS databases are essential services for enterprises to manage their data, but past solutions run on expensive physical hardware that is restricted in terms of processing power. Recent cloud-based NoSQL alternatives such as Amazon's DynamoDB present better solutions for big-data enterprises, but the available options are expensive and not as efficient as they could be.
ScyllaDB provides an open-source NoSQL database that provides a faster, cheaper, and more resource-efficient alternative to existing cloud-based databases. The service uses a node-sharded design that allows each processor core of a computer to handle a different subset of data, providing a storage-efficient real-time database solution for big-data enterprises.
The company has taken a fierce stance against their competition by providing a migration tool that automatically allows DynamoDB users to switch to the significantly cheaper ScyllaDB with minimal code changes requires.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Oct 2023
$43m
LATE VC
Sep 2019
$25m
SERIES D
Total funding: $100.2m
Company benefits
- Stock options
- Work from home opportunities
Company values
- Open culture - Our work is done in the open and we are straightforward with each other
- Commitment - We are committed to excellence and bring our best game every day
- Yes, we can - The biggest challenges get us going in the morning
- Better together - We are one team. Cross-team pollination and a feedback culture make us better
- Fairness - We are fair with ourselves, our users, our community, our investors, everyone
Articles
Leadership
Avi Kivity
(CTO)Avi started his career as an IBM Developer before leaving after under a year to join Avionitek for 4 years and work as a Developer for Talmai, Exanet, and Qumranet. They left their role of 4 years at Red Hat to co-found ScyllaDB in December 2012.
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