Senior Storage Infrastructure Engineer | Scale & Data APIs

Planet

New York (NY)

On-site

USD 180,000 - 240,000

Full time

11 days ago
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Benefits offered by this job

Comprehensive health plan
Wellness program and massages
Flexible time off
Recognition programs
Commuter benefits
Learning and tuition reimbursement
Parental leave
Offsites and happy hours
Volunteering benefits

Job summary

Planet is seeking a Senior Software Engineer to evolve the Storage platform that underpins the company\'s data infrastructure. You will work across the stack—from object storage and metadata indexing to event notification and disaster recovery—on systems that operate at massive scale.

You will advise teammates, own services, and contribute to the architectural direction while delivering reliable, searchable, and scalable data storage.

Qualifications

  • 6–8 years of software engineering experience.
  • Production backend services and APIs.
  • Experience with cloud infrastructure (AWS or GCP).
  • Relational and non-relational datastores experience.
  • Excellent communication and remote collaboration.

Responsibilities

  • Build and maintain systems that provide efficient access to new and growing data sets.
  • Extend and improve services for internal data search and image processing.
  • Operate and tune Elasticsearch indexing for core data sets.
  • Own services end-to-end, monitor performance, and respond to incidents.
  • Lead project teams or oversee assignments of junior engineers.
  • Contribute to the technical roadmap and architecture direction.
  • Participate in design reviews and align on technical decisions.

Skills

Go
Python
Distributed systems
Backend services
Go development

Tools

Elasticsearch
Kubernetes
Terraform
AWS
GCP
PostgreSQL/MySQL

Job description

Planet is seeking a Senior Software Engineer to evolve the Storage platform that underpins the company\'s data infrastructure. You will work across the stack—from object storage and metadata indexing to event notification and disaster recovery—on systems that operate at massive scale.

You will advise teammates, own services, and contribute to the architectural direction while delivering reliable, searchable, and scalable data storage.

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