7 months ago
Mountain View, CA, USASenior / Staff+
H1B sponsor
Base Salary
$180k - $260k/yr
Responsibilities
- Upgrade and maintain physical and cloud infrastructure used to offload data from autonomous vehicles.
- Monitor, maintain, and troubleshoot on-premises data offload and continuous integration systems in partnership with infrastructure and platform teams.
- Design, develop, and maintain BI dashboards and ETL pipelines for infrastructure performance and health insights.
- Architect and deploy test environments for internal and customer-facing infrastructure solutions.
- Automate deployment, scaling, and upgrades of remote monitoring software.
- Analyze infrastructure performance and optimize latency, throughput, and reliability.
Requirements
- 5+ years of experience in a related role such as Site Reliability Engineer, DevOps Engineer, or Infrastructure Engineer.
- Strong knowledge of networking fundamentals, including protocols, troubleshooting, and optimization.
- Hands-on experience with Docker and related tools such as Docker Compose and Kaniko.
- Expertise with Kubernetes deployments and Helm package management.
- Proficiency with relational and time-series databases such as Postgres, TimescaleDB, and InfluxDB.
- Familiarity with workflow orchestration tools such as Argo and Airflow.
- Experience managing upgrades and rollbacks for customer-facing SaaS environments.
- Scripting experience in Python and Bash for automation and tooling.
- Experience building and maintaining dashboards with tools such as Grafana.
Benefits
- Onsite five days per week at the Mountain View, California office.
Tech Stack
Categories
DevOpsSite Reliability
About Gatik AI
Gatik AI builds and operates autonomous middle‑mile trucking networks for retailers and consumer brands, delivered as a transportation‑as‑a‑service offering. Its Level 4, Class 3–7 trucks move B2B freight on short‑haul, repeatable routes, with commercial deployments in Texas, Arkansas, and Ontario, including a fully driverless service launched with Walmart in 2021. Founded in 2017 and headquartered in Santa Clara, it integrates software and hardware to run driverless deliveries between warehouses and stores.