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Gatik

Robot type
Autonomous Vehicle
Location
Santa ClaraCaliforniaUSA
Job type
Software
Posted
Aug 11, 2025
Salary
$180,000–$260,000 a year
Full-time

Staff Infrastructure/DevOps Engineer

Job description

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company…

Job responsibilities

  • Build and maintain ETL pipelines for ingestion, aggregation, and presentation of data from our fleet of live autonomous trucks, ensuring scalability, reliability, and performance.
  • Design and implement solutions for upgrading and deploying on-board vehicle infrastructure and AV stack software to production vehicles with minimal downtime.
  • Collaborate with autonomy and platform teams to deliver scalable CI pipelines that automate the development, testing, and release of AV software.
  • Implement infrastructure-as-code solutions (e.g., Terraform) to manage setup and teardown of environments supporting operations at customer-facing sites.
  • Work with operations teams to coordinate and execute deployments to new customer sites.
  • Develop and manage scalable deployment of in-house simulation software, integrating scenario-based simulation testing into CI pipelines to validate AV software before release.

Job requirements

  • 7+ years of experience in a similar infrastructure engineering role.
  • Proficiency with Terraform or similar infrastructure-as-code tools.
  • Hands-on experience with Docker and related tools (e.g., Docker Compose, Kaniko).
  • Experience deploying to Kubernetes and managing packages via Helm.
  • Knowledge of relational and time-series databases (e.g., Postgres, TimescaleDB, InfluxDB).
  • Familiarity with workflow orchestration tools (e.g., Argo, Airflow).
  • Proven track record managing upgrades and rollbacks of customer-facing SaaS environments.
  • Scripting expertise in Python and Bash.
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