# Senior Site Reliability Engineer, Database Infrastructure

**Company:** [Zello](https://hotfix.jobs/companies/zello)
**Location:** Austin, TX
**Role:** DevOps / SRE
**Experience:** 7+ years
**Skills:** MySQL, MongoDB, scylladb, Cassandra, Elasticsearch, Redis, GCP, Prometheus, loki, tempo, OpenTelemetry, Kubernetes, Docker, Python, Go
**Posted:** 2026-05-13

> Owns the reliability, performance, and availability of production database infrastructure while contributing to observability, incident response, cloud modernization, and automation. Requires 7+ years in SRE, DevOps, platform, infrastructure, or database reliability roles, including substantial production database ownership.

## Job Description

## Responsibilities
- Design, deploy, and operate highly available MySQL and MongoDB clusters across cloud environments.
- Manage replication, sharding, backups, point-in-time recovery, upgrades, and disaster recovery.
- Tune query performance, schemas, and indexes in partnership with application engineers.
- Extend observability with Prometheus, Loki, Tempo, OpenTelemetry, dashboards, and actionable alerts.
- Participate in the Platform on-call rotation and lead incident response for data-tier issues.
- Write blameless postmortems that drive durable improvements.
- Improve database disaster recovery, security, and compliance through encryption, access controls, audit logging, and backup-integrity practices.
- Evaluate and operate ScyllaDB/Cassandra and Elasticsearch where appropriate.
- Build automation, tooling, operators, and AI-assisted workflows to reduce repetitive work and accelerate incident response and root-cause analysis.

## Requirements
- 7+ years of experience in SRE, DevOps, platform, infrastructure, or database reliability roles.
- At least 3 years owning production databases.
- Production experience operating highly available MySQL and MongoDB at scale, including replication, sharding, backups, point-in-time recovery, and failover drills.
- End-to-end database performance diagnosis across query plans, indexes, locking, operating systems, storage, and networks.
- Experience with at least two of bare-metal Linux, containerized workloads such as Docker or Kubernetes, and a major cloud platform.
- Google Cloud experience preferred; AWS or Azure experience is acceptable.
- Experience with Prometheus, OpenTelemetry, or comparable observability systems.
- Production programming experience with Python, Go, Bash, or similar languages.
- Clear communication during incidents and in postmortems.
- Ability to evaluate managed versus self-managed databases based on availability, cost, and operational burden.
- Bachelor's degree in Computer Science or equivalent practical experience.

## Nice-to-haves
- ScyllaDB/Cassandra experience.
- Elasticsearch experience.
- Experience using AI copilots, agents, or custom automation for incident response, root-cause analysis, or developer workflows.

## Compensation and Benefits
- Competitive pay.
- Equity with significant upside.
- Flexible schedules and time off.
- Benefits designed to support healthy, well-balanced employees.
- Sabbatical after every five years of service.

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