Senior Database Reliability Engineer
We're looking for a Senior Database Reliability Engineer who thinks like a data engineer, not just a DBA — someone who treats data as a platform, not a collection of instances to keep patched. You'll own the reliability, performance, and architecture of our database estate across multiple technologies (relational, NoSQL, caching, time-series, and warehouse), and you'll be a standing voice in architectural and product decisions about how data is stored, moved, and consumed across the organization — not just called in after the design is finalized. You'll also own the health of our database environments themselves — debugging and improving the tooling, provisioning, and developer experience around data, so engineering teams can move fast without fighting the platform.
In this role, you'll be part of a team of engineers and technology experts, delivering mission-critical services that help our customers manage, protect, and maintain millions of endpoints and servers. You will have the opportunity to design and develop high-availability software systems that support our global operations.
Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, ME, MA, MD, NJ, NC, NY, OR, TN, TX, VA, OH and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.
** Onsite interviews may be required for this role.**
We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres, supporting millions of user endpoints and running as a scalable cloud service in AWS. Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture is crucial for this role.
Key Responsibilities
Own architectural and lifecycle decisions for the data domain — technology selection, deprecation, capacity planning, and long-term platform direction — as a standing collaborator with Architecture, not an implementer brought in after decisions are made
Design, operate, and evolve database platforms across multiple technologies: relational, or equivalent time-series stores and data warehouse systems
Partner with Architecture and Engineering on product and feature decisions that touch data — schema design, access patterns, scalability tradeoffs — early in the design process
Debug and resolve environment and developer-experience issues across database tooling, provisioning, and local/CI data infrastructure — reduce friction for engineering teams working with data
Collaborate with Architecture on expanding the technology footprint of the data platform — evaluating and onboarding new database and storage technologies as product needs evolve
Maintain overall health of database environments: performance, availability, disaster recovery, backup/retention, and security controls across the estate
Optimize performance, indexing, query plans, and storage/compute configuration across heterogeneous data stores
Automate provisioning, backup, and lifecycle management; integrate database changes into CI/CD
Lead migrations, version upgrades, and technology transitions with minimal disruption
Maintain audit logs, schema versioning, and change tracking for regulatory traceability (SOC 2, FedRAMP, HIPAA as applicable)
Document architecture decisions, operational runbooks, and platform standards for both technical and non-technical audiences
Required Qualifications
8+ years in database engineering/administration, including 3+ years operating more than one database technology in production.
Demonstrated experience influencing architecture or product decisions involving data — not solely operating systems designed by others
Deep expertise in at least one relational engine plus working fluency in NoSQL caching.
Experience with time-series data stores and data warehouse platforms (Redshift, Snowflake, BigQuery, or similar)
Strong cloud-native experience (AWS preferred) — RDS/Aurora, managed NoSQL, IAM, encryption, networking for data services
Proficiency in scripting/automation and infrastructure-as-code (Terraform, CloudFormation)
Track record of debugging developer-facing environment issues, not just production incidents
Strong troubleshooting using logs, metrics, and query analysis across varied storage engines
Excellent written and verbal communication — able to represent the data domain in cross-functional architecture discussions
Preferred Qualifications
Experience with containerized/orchestrated database deployments (Kubernetes, Fargate)
Cross-cloud data platform experience (GCP, Azure)
Exposure to distributed systems and data partitioning strategies at scale
Prior role explicitly scoped as "data platform engineer," "database reliability engineer," or similar hybrid title (vs. pure DBA)
Experience building or maintaining internal developer tooling/self-service around data infrastructure
About Us
NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management.
What You’ll Love
We are a collaborative, kind, and curious community.
We honor your flexibility needs with full-time work that is hybrid remote.
We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
We help you prepare for your financial future with our 401(k) plan.
We prioritize your work-life balance with our unlimited PTO.
We reward your work with opportunity for growth and advancement.
Additional Information
This position is NOT eligible for Visa sponsorship.
*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.
Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, New Jersey or Washington the base salary hiring range for this position is $160,000 to $210,000 per year.
For roles based in New York, the base salary hiring range for this position is $160,000 to $210,000 per year.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.
Skills Required
- 8+ years of database engineering or administration experience, including 3+ years operating multiple database technologies in production
- Experience influencing architecture or product decisions involving data
- Deep expertise in at least one relational database engine and working fluency with NoSQL and caching technologies
- Experience with time-series data stores and data warehouse platforms such as Redshift, Snowflake, or BigQuery
- Strong cloud-native experience, preferably AWS, including RDS or Aurora, managed NoSQL, IAM, encryption, and networking
- Proficiency in scripting, automation, and infrastructure as code using Terraform or CloudFormation
- Experience debugging developer-facing environment issues in addition to production incidents
- Strong troubleshooting skills using logs, metrics, and query analysis across varied storage engines
- Excellent written and verbal communication skills for cross-functional architecture discussions
- Experience with containerized or orchestrated database deployments using Kubernetes or Fargate
- Cross-cloud data platform experience with GCP or Azure
- Exposure to distributed systems and data partitioning strategies at scale
- Prior experience as a data platform engineer, database reliability engineer, or similar hybrid role
- Experience building or maintaining internal developer tooling or self-service data infrastructure
NinjaOne Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NinjaOne and has not been reviewed or approved by NinjaOne.
-
Healthcare Strength — Health coverage spans medical, dental, and vision with a notable employer premium contribution, alongside mental-health and wellness programs. This combination indicates robust support for routine and preventive care.
-
Leave & Time Off Breadth — Policies highlight unlimited or flexible PTO alongside paid holidays and sick time, as well as generous parental leave. Flexible scheduling and hybrid/remote options reinforce time-off usability.
-
Fair & Transparent Compensation — Pay is characterized as decent to good overall and competitive for many engineering and senior IC roles. Publicly posted ranges and salary snapshots align to market-typical totals in several functions.
NinjaOne Insights
What We Do
NinjaOne, the automated endpoint management platform, delivers visibility, security, and control over all endpoints for more than 30,000 customers in 130+ countries. The cloud-native NinjaOne platform simplifies endpoint management, patching, and visibility for environments at any scale. It is proven to increase productivity, reduce security risk, and lower costs.
Why Work With Us
NinjaOne is proud to be an independent, founder-led company. NinjaOne is filled with passionate, driven people of all backgrounds. We’re proud to celebrate our differences and build a company based on integrity, inclusion and acceptance. We invest in our staff and implement a policy of transparency with a flat organizational structure.
Gallery
