Staff Cloud Database Engineer (Relational & NoSQL)
Staff Cloud Database Engineer (Relational & NoSQL)
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Salary Not Disclosed
1 Vacancy
Job Description
Please note that under Federal & FedRAMP regulations hiring for this role is limited to US citizens only.
FedRAMP Staff may be subject to customer or third-party background checks up to and including secret clearance if required by their role at SentinelOne.
What are we looking for
We seek a Cloud Database Engineer with expertise in both relational databases (Amazon Aurora and GCP-hosted PostgreSQL) and NoSQL databases (Cassandra) to lead critical efforts in optimizing scaling and automating our cloud database infrastructure.
In this role you will take ownership of high-scale production-grade database environments driving cost efficiency performance and operational excellence. You will collaborate closely with platform infrastructure and FinOps teams to ensure our databases are secure resilient and cost-effective. You will also define best practices and automation standards through Infrastructure as Code (Terraform) and partner with application teams to implement the plans.
US Eastern Time Zone preferred due to collaboration requirements with teams in Europe and India.
What will you do
- Operate and optimize Aurora and GCP PostgreSQL DBs powering mission-critical high-throughput workloads.
- Manage and scale Cassandra clusters ensuring high availability and performance for high-scale data flows and global platform availability.
- Provide guidance on schema design query optimization and observability for both cloud-native relational and NoSQL workloads.
- Identify cost-saving opportunities reduce over-provisioning and tune configurations for maximum efficiency across all database platforms.
- Develop and maintain Infrastructure as Code (Terraform) modules for repeatable and scalable database provisioning.
- Design and implement backup HA/DR upgrade and maintenance strategies for mission-critical systems.
- Collaborate with engineering and FinOps teams to align provisioning and usage with business requirements.
What skills and knowledge should you bring
- 5 years of experience as a DBA or Database Engineer in cloud-based environments.
- Deep hands-on experience with managed relational services including Amazon Aurora (PostgreSQL) and GCP Cloud SQL / for PostgreSQL.
- Hands-on experience managing and operating large-scale Cassandra clusters.
- Proficiency in SQL and performance tuning query analysis and database monitoring.
- Experience writing and maintaining Terraform code for database infrastructure.
- Solid understanding of backup/restore strategies replication and high availability in managed DB services.
- Strong scripting skills (Python Bash or equivalent) for automation and tooling.
- Experience in collecting analyzing and interpreting operational and cost data to identify inefficiencies and prioritize optimization efforts.
- Ability to use statistical and usage-based analysis to drive infrastructure decisions and focus engineering efforts where they deliver the most value.
- Experience operating both relational and NoSQL databases in large-scale multi-region environments.
- Experience driving efficient and performance database solutions techniques for cloud databases.
- Experience in detecting and fixing performance bottlenecks.
- Exposure to Kubernetes-native database management or operators is a plus.
- Comfortable collaborating across engineering SRE and platform teams.
Why us
You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.
- Medical Vision Dental 401(k) Commuter Health and Dependent FSA
- Unlimited PTO
- Industry-leading gender-neutral parental leave
- Paid Company Holidays
- Paid Sick Time
- Employee stock purchase program
- Disability and life insurance
- Employee assistance program
- Gym membership reimbursement
- Cell phone reimbursement
- Numerous company-sponsored events including regular happy hours and team-building events
Required Experience:
Staff IC
Employment Type
Full-Time
