Pickle is a peer-to-peer rental marketplace unlocking the value of the billions of underutilized items sitting in consumers’ closets. We make it easy to rent high-quality items exactly when you need them — with fast, convenient fulfillment and an on-demand experience that’s as seamless as shopping.
We’re building a new kind of commerce layer: one powered by dynamic local supply, where access is more convenient than ownership. Pickle is now live nationwide and scaling rapidly in key local markets including NYC, LA, and Miami. Our marketplace already features 300K+ items listed for rent, and we’re just getting started.
What makes Pickle different is the combination of incredible peer-to-peer inventory, industry-leading convenience(under 2 days nationwide and under 2 hours locally), and an on-demand model with no subscriptions — users rent what they want, when they want it. Backed by our Series A funding raised in early 2025 from FirstMark and Craft, we’re scaling quickly and building the future of access-driven shopping.
Your mission is to eliminate manual intervention across our infrastructure, deployments, and data movement. You will own the “machine that builds the machine” — the systems that provision infrastructure, ship code, migrate data, and validate correctness automatically.
This role is especially critical as we migrate from AWS Lambda + DynamoDB to a modern containerized and edge-based stack backed by Postgres. You will build the software that moves our data, verifies its integrity, and makes the migration repeatable, observable, and boring.
If you enjoy building automation that replaces tribal knowledge, turning risky one-off operations into deterministic pipelines, and owning platform reliability end-to-end, this role is for you.
Manage our AWS and Vercel infrastructure entirely through code.
Own Infrastructure as Code using Terraform, Pulumi, or AWS CDK.
Eliminate “ClickOps” by ensuring all environments are reproducible and auditable.
Own AWS configuration and security, including:
IAM roles and policies
S3 bucket policies
OpenSearch clusters
VPC networking and security groups
Implement automated cost controls and visibility into cloud spend.
Build deep observability pipelines using tools like Datadog and Sentry.
Ensure alerts surface issues before customers notice them.
Treat migration as software, not a script.
Design and build a robust ETL pipeline that:
Extracts data from DynamoDB
Transforms NoSQL documents into relational schemas
Loads data into Postgres (Supabase)
Handle schema evolution, partial failures, retries, and resumability.
Build automated validation tools that prove data integrity.
Be able to answer “Did we lose any data?” with a definitive, auditable “No.”
Automate dry runs so the migration can be rehearsed dozens of times before final cutover.
Ensure the production migration is predictable, observable, and low stress.
Design and maintain advanced GitHub Actions workflows.
Optimize CI performance using intelligent caching and dependency-aware builds.
Ensure only affected packages and services deploy in our Turborepo.
Build automation that provisions ephemeral infrastructure for testing.
Enable preview environments for pull requests, including:
Temporary deployments
Seeded databases
End-to-end test execution
Treat CI/CD as a product that developers trust and enjoy using.
4+ years of experience in Cloud, Platform, or DevOps engineering roles.
Strong experience operating production systems in AWS.
Automation-first mindset with strong scripting skills (Python, TypeScript, or Bash).
Proven experience migrating data between disparate systems (e.g., NoSQL to SQL).
Deep understanding of data transformation, validation, and failure handling.
Expert-level experience with Infrastructure as Code (Terraform, Pulumi, or AWS CDK).
Strong understanding of Docker and container lifecycles.
Experience building and maintaining CI/CD pipelines in GitHub Actions.
Experience with self-hosted GitHub Actions runners.
Experience supporting compliance or security audits.
Familiarity with Postgres performance tuning.
Experience operating systems across AWS and Vercel simultaneously.
Prior ownership of large-scale data migrations or platform rewrites.
Migration rig: Build an automated pipeline that migrates data from DynamoDB to Postgres, complete with integrity verification and reporting.
Monorepo CI/CD: Re-architect GitHub Actions to support our Turborepo, enabling concurrent and dependency-aware builds across Web, Mobile, and Backend.
Observability dashboard: Centralize logs and metrics from AWS, Vercel, and Postgres into a single “pane of glass” dashboard in Datadog, or similar.
Cloud: AWS (S3, OpenSearch, Cognito, IAM, VPC), Vercel
Infrastructure as Code: Terraform, Pulumi, or AWS CDK
CI/CD: GitHub Actions
Scripting: Python, TypeScript, Bash
Database: DynamoDB and RDS (source), Postgres / Supabase (destination)
Architecture: Turborepo, Containerized Services
Competitive compensation and equity
Healthcare (Medical, Dental, Vision)
Take what you need paid time off
Meal Pal credits to cover the cost of lunch
Stipend to help set up your desk and office environment
Work directly with the founders and executive team
Professional coaching, training, and development
Grow with the company
Pickle credits for our employees, we love when the team uses Pickle!
Fun team events and company parties
Company offsites
Office space in NYC
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