Database Platform Engineer
Role details
Job location
Tech stack
Job description
We operate technologies such as MariaDB, Kafka, Redis, Elasticsearch, and adjacent tooling with a very high operational bar.
This team is not only responsible for keeping critical systems healthy. We also build the abstractions, guardrails, and automation that let internal teams provision resources, and evolve their data access patterns. We work closely with our internal customers and aim to stay ahead of their needs., * Operate and improve platforms such as Kafka, Redis, Elasticsearch, MariaDB and other NoSQL databases with tight SLAs.
- Build and maintain high-touch abstractions and self-service workflows for provisioning, schema evolution, common operational changes, and routine maintenance.
- Use programming and AI-assisted workflows to automate repetitive work, improve diagnostics, raise documentation quality, and shorten time-to-resolution during incidents.
- Implement, deploy, operate, and improve satellite tools that improve our platform and increase our operational leverage.
- Partner closely with internal engineering teams on data access patterns, query optimization, schema design, operational readiness, and safe adoption of shared infrastructure.
- Improve observability, alerting, SLOs, runbooks, and operational reviews so that systems are easier to understand and incidents are less likely to happen.
- Participate in on-call rotations and incident response., * MariaDB / PostgreSQL
- Kafka
- Redis / Valkey
- Elasticsearch / OpenSearch
- MongoDB, ClickHouse, Cassandra, or similar NoSQL / distributed data systems
- Terraform, GitOps, CI/CD, operators, or other automation-heavy infrastructure patterns
- Query tuning, schema design, replication, clustering, or high-availability design
- Data engineering or pipeline-adjacent technologies such as CDC, Kafka Connect, Flink, or similar
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Requirements
- Strong hands-on experience operating production-grade stateful or distributed systems.
- Solid software engineering skills in a language such as Python, Rust, Go, or similar, with a clear track record of automating infrastructure or operations work.
- Experience deploying and operating tools and services in production.
- Practical Kubernetes experience, especially around stateful workloads, upgrades, storage, and failure modes.
- Strong Linux, networking, and systems troubleshooting fundamentals.
- Experience with observability, alerting, incident response, and post-incident improvement.
