Senior Data Platform Engineer — SRE & Automation

Gemini Personnel Pte Ltd

New York (NY)

Hybrid

USD 126,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive starting pay
Discretionary annual bonus
Equity grant
Comprehensive health plans
401K with company matching
Paid parental leave
Flexible time off

Job summary

Gemini is seeking a Senior Data Platform Engineer in a hybrid role based in New York. You will own reliability of our data infrastructure, focusing on relational databases (PostgreSQL, Aurora) and self-service automation for datastores, with exposure to NoSQL and streaming systems.

Ideal candidates bring 5+ years in data platforms, strong SRE mindset, and experience with Terraform, Kafka, and cloud data services. Expect a competitive total package and a collaborative, cross-functional team.

Qualifications

  • Demonstrated SRE mindset with automation and self-service tooling.
  • Experience across multiple database technologies and data pipelines.
  • Hands-on with at least one non-relational data model in production.
  • Cloud familiarity with RDS/Redshift/BigQuery or Databricks.
  • Experience with Terraform and CI/CD tooling.

Responsibilities

  • Build IaC, CLI tools, and CI/CD automation for provisioning and scaling databases.
  • Shape high-availability architectures and observability across datastores.
  • Collaborate with data and product teams to integrate pipelines and messaging (Kafka, Kinesis).
  • Reduce toil through automation and playbooks; own uptime and incident response.

Skills

SRE mindset
Communication skills
Automation mindset
Non-relational knowledge
CI/CD and incident response

Education

Bachelor's degree in a relevant field

Tools

Terraform
Kafka
Python
Go

Job description

Gemini is seeking a Senior Data Platform Engineer in a hybrid role based in New York. You will own reliability of our data infrastructure, focusing on relational databases (PostgreSQL, Aurora) and self-service automation for datastores, with exposure to NoSQL and streaming systems.

Ideal candidates bring 5+ years in data platforms, strong SRE mindset, and experience with Terraform, Kafka, and cloud data services. Expect a competitive total package and a collaborative, cross-functional team.

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