About the role
What will you do at MeridianLink?
As a Senior Site Reliability Engineer on our cloud engineering team, you'll keep our production environment healthy, secure, and running smoothly. This is an operations-focused role: you'll own the day-to-day administration of our AWS accounts and databases, backup posture across our data stores, and production monitoring and debugging for a fully serverless platform.
Your work will span the operational side of the software development life cycle — from deployment to maintenance and updates — always striving for continuous improvement. You'll keep our infrastructure clean, easily deployable, and scalable, creating a stable operating environment for the whole team.
Responsibilities
- Own day-to-day administration across AWS services, accounts, and access, as well as database administration across PostgreSQL and our other data stores.
- Own backup posture across databases, S3 buckets, and queues; verify restores regularly and maintain a tested disaster recovery plan.
- Proactively monitor production — CloudWatch dashboards, metric alarms, log-based metrics, and Slack alerting — addressing operational issues before they impact users.
- Lead production debugging and incident response: build and maintain runbooks, participate in the on-call rotation, and resolve queue and dead-letter-queue failures through retry, redrive, and recovery.
- Continuously refine our infrastructure to ensure it is easily deployable and scalable: keep infrastructure as code (SST/Pulumi) accurate, retire unused infrastructure, and keep cost visible and justified.
- Share your knowledge of production operations with the team, fostering a culture of learning and growth.
Qualifications
- Knowledge, Skills, & Abilities
- Bachelor's degree and 4-6 years of related experience or equivalent work experience.
- 5+ years of experience in DevOps, site reliability, or platform operations, with significant responsibility for production systems.
- 3+ years of hands-on experience with AWS, with an emphasis on serverless services (Lambda, SQS, EventBridge, CloudWatch, S3).
- Strong database administration experience: PostgreSQL operations, backup and recovery, and query performance; comfort administering other data stores.
- Proficiency in scripting languages such as TypeScript, Python, and bash for production automation and operational tooling.
- Strong understanding of Linux, DNS, TLS, Docker, GitHub Actions, and infrastructure as code (SST, Pulumi, or Terraform).
- Experience with production monitoring and alerting, incident response, and on-call ownership.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Platform engineering jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
Machine Learning Infrastructure Engineer
Bright Vision Technologies · Hillsboro, Oregon, United States
Senior Infrastructure Engineer - Data Protection
USAA · Tampa, Florida, United States
Security Engineer - Infrastructure Security
Figure · San Jose, California, United States
AI Infrastructure AI/ML Engineer (100 % remote) (m/f/d)
EWOR · Capon Bridge, West Virginia, United States
Data and ML Infrastructure Engineer
HavocAI · United States
Senior Machine Learning Engineer - ML Training Infrastructure
General Motors · Sunnyvale, California, United States
Role information can change. Confirm current details on the original application page.
