Senior Database Platform Engineer
P2P, Phila, PA, United States
Location
Europe; Brazil; Cyprus; Czech Republic; Germany; Ireland; Lithuania; Poland; Portugal; Romania; Spain; Switzerland; United Arab Emirates
Employment Type
Full time
Location Type
Remote
Department
Engineering, SRE / DevOps
Senior Database Platform Engineer
Core Infrastructure – Data Systems builds and runs the shared data systems that other engineering teams rely on to ship production services safely and quickly, and scale them globally.
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.
We are hiring a Senior Database Platform Engineer to help us operate and evolve this platform. This is a hands‑on senior engineering role for someone who is comfortable owning production‑grade stateful systems, writing software to remove toil, improving observability and incident prevention, and partnering directly with other engineers on data‑system design and performance.
Responsibilities
Own the reliability, availability, performance, capacity, backup/restore, disaster recovery, and security posture of shared data systems.
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.
Qualifications
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.
Nice to haves
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
EEO Statements
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
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.
As an equal‑opportunity employer, we don’t tolerate discrimination or harassment of any kind.
#J-18808-Ljbffr
Europe; Brazil; Cyprus; Czech Republic; Germany; Ireland; Lithuania; Poland; Portugal; Romania; Spain; Switzerland; United Arab Emirates
Employment Type
Full time
Location Type
Remote
Department
Engineering, SRE / DevOps
Senior Database Platform Engineer
Core Infrastructure – Data Systems builds and runs the shared data systems that other engineering teams rely on to ship production services safely and quickly, and scale them globally.
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.
We are hiring a Senior Database Platform Engineer to help us operate and evolve this platform. This is a hands‑on senior engineering role for someone who is comfortable owning production‑grade stateful systems, writing software to remove toil, improving observability and incident prevention, and partnering directly with other engineers on data‑system design and performance.
Responsibilities
Own the reliability, availability, performance, capacity, backup/restore, disaster recovery, and security posture of shared data systems.
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.
Qualifications
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.
Nice to haves
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
EEO Statements
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
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.
As an equal‑opportunity employer, we don’t tolerate discrimination or harassment of any kind.
#J-18808-Ljbffr