Pickle Robot Company
Base Pay Range
$100,000.00/yr - $125,000.00/yr
About this role
Pickle Robot is on the hunt for a smart, motivated DevOps Engineer to join our infrastructure team and help us revolutionize the future of warehouse automation. This role serves as the backbone of our technical operations, working across all levels of our organization to ensure a reliable, scalable, and efficient development lifecycle for our revolutionary robotic unload systems. You’ll build and maintain the cloud infrastructure, data pipelines, and deployment systems that power our growing fleet of robots deployed across the United States.
Responsibilities Design cloud architecture using repeatable Terraform for GCP, including IAM, Artifact Registry, Cloud Run/Compute, load balancers/IAP, and Cloud DNS.
Evolve our GitHub Actions CI/CD pipelines with reusable workflows, intelligent caching, secrets/attestations, and WIF/OIDC integration to GCP.
Level‑up observability using Prometheus/VictoriaMetrics, Grafana, and Alertmanager, establishing sensible SLOs and quiet, actionable alerts.
Harden the platform with least‑privilege IAM, Secret Manager/Vault integration, service‑to‑service authentication, and software provenance tracking.
Ship slimmer, reproducible Docker images and define base‑image policies with automated scanning for vulnerabilities.
Design, build, and maintain robust data pipelines to capture logs and telemetry from robots in the field, enabling real‑time monitoring and analysis.
Build small internal tools and CLIs (usually Python) to eliminate toil, such as DNS checks, release helpers, and deployment automation.
Develop and maintain automation scripts to bootstrap laptops, servers, and robot controllers, streamlining deployment and configuration management.
Work cross‑functionally with software engineering, hardware, and deployment teams to ensure our robots are operationally ready to serve customers with minimal downtime.
Participate in an on‑call rotation to provide support for infrastructure and deployment issues.
Write crisp documentation, PR templates, and lightweight runbooks that people actually use.
Establish monitoring, alerting, and observability systems to proactively identify and resolve issues before they impact customers.
Skills 5–7+ years in software engineering; you’ve shipped production systems and have a strong software foundation.
Proficiency with Linux, Git, Docker, and Python for automation and infrastructure management.
Hands‑on experience with public cloud infrastructure management (GCP preferred): IAM, compute (Cloud Run or GCE), networking/load balancing, storage, PubSub, and Artifact Registry.
Strong experience creating CI/CD and build pipelines that integrate different providers securely, utilizing technologies such as IAM, service account impersonation, and Workload Identity Federation.
Security‑minded with deep understanding of least privilege, secrets management, and OIDC/SAML concepts. SecOps experience is a plus.
Bias to automate and document; comfortable taking a loosely defined task to done with light guidance.
Pragmatic about trade‑offs; you can explain the "why," not just the "what." Familiarity with Robot Operating System (ROS) and the unique challenges of deploying software to robotic systems.
Experience managing a fleet of robotic devices or IoT systems, including remote monitoring, updates, and troubleshooting.
Excellent troubleshooting skills with the ability to diagnose complex issues across distributed systems.
Strong interpersonal and technical communication skills, with the ability to collaborate effectively across engineering, hardware, and deployment teams in a hybrid environment with distributed teammates.
Detail‑oriented problem‑solver with a strong sense of urgency and willingness to help colleagues and customers in their time of need.
Self‑motivated with high ownership mentality; personal responsibility with a collective mindset.
Seniority Level
Not Applicable
Employment Type
Full‑time
Job Function
Engineering and Information Technology
#J-18808-Ljbffr
$100,000.00/yr - $125,000.00/yr
About this role
Pickle Robot is on the hunt for a smart, motivated DevOps Engineer to join our infrastructure team and help us revolutionize the future of warehouse automation. This role serves as the backbone of our technical operations, working across all levels of our organization to ensure a reliable, scalable, and efficient development lifecycle for our revolutionary robotic unload systems. You’ll build and maintain the cloud infrastructure, data pipelines, and deployment systems that power our growing fleet of robots deployed across the United States.
Responsibilities Design cloud architecture using repeatable Terraform for GCP, including IAM, Artifact Registry, Cloud Run/Compute, load balancers/IAP, and Cloud DNS.
Evolve our GitHub Actions CI/CD pipelines with reusable workflows, intelligent caching, secrets/attestations, and WIF/OIDC integration to GCP.
Level‑up observability using Prometheus/VictoriaMetrics, Grafana, and Alertmanager, establishing sensible SLOs and quiet, actionable alerts.
Harden the platform with least‑privilege IAM, Secret Manager/Vault integration, service‑to‑service authentication, and software provenance tracking.
Ship slimmer, reproducible Docker images and define base‑image policies with automated scanning for vulnerabilities.
Design, build, and maintain robust data pipelines to capture logs and telemetry from robots in the field, enabling real‑time monitoring and analysis.
Build small internal tools and CLIs (usually Python) to eliminate toil, such as DNS checks, release helpers, and deployment automation.
Develop and maintain automation scripts to bootstrap laptops, servers, and robot controllers, streamlining deployment and configuration management.
Work cross‑functionally with software engineering, hardware, and deployment teams to ensure our robots are operationally ready to serve customers with minimal downtime.
Participate in an on‑call rotation to provide support for infrastructure and deployment issues.
Write crisp documentation, PR templates, and lightweight runbooks that people actually use.
Establish monitoring, alerting, and observability systems to proactively identify and resolve issues before they impact customers.
Skills 5–7+ years in software engineering; you’ve shipped production systems and have a strong software foundation.
Proficiency with Linux, Git, Docker, and Python for automation and infrastructure management.
Hands‑on experience with public cloud infrastructure management (GCP preferred): IAM, compute (Cloud Run or GCE), networking/load balancing, storage, PubSub, and Artifact Registry.
Strong experience creating CI/CD and build pipelines that integrate different providers securely, utilizing technologies such as IAM, service account impersonation, and Workload Identity Federation.
Security‑minded with deep understanding of least privilege, secrets management, and OIDC/SAML concepts. SecOps experience is a plus.
Bias to automate and document; comfortable taking a loosely defined task to done with light guidance.
Pragmatic about trade‑offs; you can explain the "why," not just the "what." Familiarity with Robot Operating System (ROS) and the unique challenges of deploying software to robotic systems.
Experience managing a fleet of robotic devices or IoT systems, including remote monitoring, updates, and troubleshooting.
Excellent troubleshooting skills with the ability to diagnose complex issues across distributed systems.
Strong interpersonal and technical communication skills, with the ability to collaborate effectively across engineering, hardware, and deployment teams in a hybrid environment with distributed teammates.
Detail‑oriented problem‑solver with a strong sense of urgency and willingness to help colleagues and customers in their time of need.
Self‑motivated with high ownership mentality; personal responsibility with a collective mindset.
Seniority Level
Not Applicable
Employment Type
Full‑time
Job Function
Engineering and Information Technology
#J-18808-Ljbffr