DevOps Engineer

Pickle Robot Company

DevOps Engineer to build and maintain cloud infrastructure and deployment systems for warehouse-automation robots. Collaborate on initiatives and run projects to enhance reliability and efficiency.

Posted 5/29/2026full-timeCharlestown • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $110,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies

CloudDNSGoogle Cloud PlatformGrafanaIoTPrometheusPythonTerraform

About the role

Key responsibilities & impact

Build apps, tools, and CLIs to improve the developer, operations, and end-user experiences when interacting with our platform and processes.
Create and deploy Infrastructure as Code (IaC) for GCP — including IAM, Artifact Registry, Cloud Run/Compute, load balancers/IAP, and Cloud DNS and other development infrastructure.
Identify and eliminate friction across software development, hardware commissioning, and operations workflows — through tooling, automation, or process changes.
Design for security by default: least-privilege IAM, service-to-service auth, secrets management, and supply chain provenance.
Write crisp documentation, PR templates, and lightweight runbooks that people actually use.

Requirements

What you’ll need

6+ years in software engineering, with a track record of creating and deploying production software.
Depth in programming and in the full deployment stack: dependency management, packaging, and deployment of Python or C++ applications.
Hands-on with Ubuntu/Debian administration (installs, configuration, networking) and containerization (lifecycle management, multi-container deployments).
Strong expertise with Terraform: remote state, modules, plan reviews, and running plans in CI.
Hands-on experience with public cloud infrastructure management (GCP preferred): IAM, compute (Cloud Run or GCE), networking/LB, storage, PubSub, Artifact Registry.
Experience with CI/CD pipelines: reusable workflows, caching, secrets/attestations, and WIF/OIDC integration to GCP.
Strong observability fundamentals — metrics vs. logs, alert design — with hands-on experience using Prometheus and Grafana.
A bias to automate and document; comfortable taking a loosely defined task all the way to done.
Pragmatic about trade-offs; able to explain the “why,” not just the “what.”
Knows how to ask AI the right questions and can critically evaluate the outputs.
Experience in robotics or warehouse automation strongly preferred.
Experience with fleet management or IoT device provisioning at scale.
Familiarity with Machine Learning / MLOps preferred.
Willing and able to work from our Charlestown, MA office at least 3 days per week.

Benefits

Comp & perks

health, dental, & vision insurance
unlimited vacation
all federal and state holidays
401K contributions of 5% your salary
travel supplies
other items to make your working life more fun, comfortable, and productive

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonC++TerraformInfrastructure as Code (IaC)UbuntuDebianCI/CDPrometheusGrafanaMachine Learning

Soft Skills

documentationautomationproblem-solvingcritical thinkingcommunicationpragmatismcollaborationadaptabilityattention to detailbias to action