Senior Data Platform Engineer — Hybrid/Remote

Remote; San Francisco (CA); Hybrid; USD 126,000 - 180,000; Full time

Benefits offered by this job

Competitive starting pay

A discretionary annual bonus

Long-term incentive in the form of a新

Comprehensive health plans

401K with company matching

Paid Parental Leave

Flexible time off

Job summary

Gemini is seeking a Senior Data Platform Engineer to own reliability, automation, and operability of our database and datastore fleet. You will build self-service foundations for provisioning, scaling, and recovery across PostgreSQL/Aurora and other datastores, with emphasis on automation and SRE practices.

The role emphasizes designing scalable architectures, observability, and incident response while collaborating with data and product teams in a cloud-native, hybrid work environment.

Qualifications

• 5 years of experience in data infrastructure or platform engineering.
• Deep relational DB expertise with PostgreSQL/Aurora.
• Automation-first mindset with IaC and self-service tooling.
• Experience with at least one non-relational datastore.
• Proficiency with cloud data services (AWS/GCP).

Responsibilities

• Automation and reliability engineering to provision and scale databases self-service.
• Database scaling and optimization for relational systems (PostgreSQL/Aurora).
• Extend tooling to non-relational datastores and guardrails across fleets.
• Define SLOs, monitors, and on-call processes to reduce MTTR.
• Integrate with data pipelines and real-time/batch processing frameworks.
• Eliminate repetitive toil via automation and playbooks.
• Collaborate across data, infra, and product teams.

Skills

SRE mindset

Automation

Self-service tooling

Guardrails

CI/CD

Observability

Incident response

Data pipelines

Kafka

Kinesis

Tools

Terraform

Python

Go

Kafka

Kinesis

AWS

Redshift

Job description

Gemini is seeking a Senior Data Platform Engineer to own reliability, automation, and operability of our database and datastore fleet. You will build self-service foundations for provisioning, scaling, and recovery across PostgreSQL/Aurora and other datastores, with emphasis on automation and SRE practices.

The role emphasizes designing scalable architectures, observability, and incident response while collaborating with data and product teams in a cloud-native, hybrid work environment.