Senior Database Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 36d ago
The date the source published, not the day we noticed it (2026-08-10). Last seen at its source just now.
Is it remote?
US Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160.8k–208.7k/yr
Middle 50% of 747 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen just now
The listing
Job Summary
We're seeking an experienced Senior Database Engineer to design, build, and scale enterprise data infrastructure across Microsoft SQL Server, PostgresSQL and MongoDB ecosystems. In this role, you'll architect robust solutions, optimize complex database environments, and ensure high-performance, reliable data management across cloud and on-premises platforms.
Key Responsibilities
Design, deploy, and optimize different database technology types in our multi-cloud and on-premises environments
Write and optimize complex SQL queries, stored procedures, views
Create, modify, and remove indices to improve query performance and eliminate redundant overhead across multiple database platforms
Develop and maintain backup, recovery, and disaster recovery procedures for cloud and on-premises environments
Conduct and document disaster recovery drills and failover testing to validate recovery procedures, RTO/RPO compliance, and team readiness
Monitor database performance, analyze metrics, and implement tuning strategies
Collaborate with developers and architects to design efficient data models and schemas
Implement security best practices, access controls, and encryption standards across all database platforms
Manage database migrations, upgrades, and version control
Troubleshoot and resolve database issues, including replication, clustering, and connectivity problems
Required Skills & Experience
6+ years of professional database engineering experience
Expert-level knowledge of Microsoft SQL Server (2016 or later), including deep knowledge of:
T-SQL development (complex queries, stored procedures, functions, triggers)
Index strategies and execution plan optimization
MSSQL Always-On Availability Groups configuration, management, and failover procedures
MSSQL mirroring and log shipping for disaster recovery scenarios
Backup and restore strategies, including recovery models (Simple, Bulk-Logged, Full) and point-in-time recovery
Strong experience with PostgreSQL
Hands-on experience with MongoDB or other NoSQL databases
Strong experience managing databases on AWS RDS and Aurora
Proficiency in backup/restore, recovery models, and disaster recovery planning
Knowledge of database security, encryption, authentication, and compliance standards
Strong troubleshooting and problem-solving skills with attention to detail
Preferred Skills & Experience
Microsoft Azure certifications (Azure Solutions Architect or Azure Data Engineer)
Experience with Infrastructure-as-Code (Terraform, CloudFormation, Azure Resource Manager)
Familiarity with ETL tools and data pipelines
Experience with database monitoring tools (CloudWatch, Azure Monitor, Redgate, Solarwinds)
Knowledge of high-availability architecture and replication
Familiarity of CI/CD, version control, and automated testing
Experience in an Agile/DevOps environment
Education & Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent professional experience)
AWS or Microsoft Azure certifications are a plus