- Robot type
- Autonomous Vehicle
- Location
- Santa ClaraCaliforniaUSA
- Job type
- Software
- Posted
- Aug 11, 2025
- Salary
- $180,000–$260,000 a year
Senior/Staff Site Reliability 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
- Upgrade and maintain both physical and cloud infrastructure used for offloading data from our autonomous vehicle fleet.
- Partner with the infrastructure and platform engineering teams to monitor, maintain, and troubleshoot our on-premises data offload and CI systems.
- Design, develop, and maintain business intelligence (BI) dashboards and ETL (extract, transform, load) pipelines to provide actionable insights into our infrastructure performance and health.
- Architect and deploy test environments to validate internal and customer-facing infrastructure solutions.
- Automate deployment, scaling, and upgrading of our remote monitoring software to ensure operational efficiency.
- Perform ongoing analysis of infrastructure performance, identifying opportunities for optimization in latency, throughput, and reliability.
Job 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 ecosystem tools (e.g., Docker Compose, Kaniko).
- Expertise in Kubernetes deployments and package management via Helm.
- Proficiency with relational and time-series databases (e.g., Postgres, TimescaleDB, InfluxDB).
- Familiarity with workflow orchestration tools such as Argo and Airflow.
- Proven experience managing upgrades and rollbacks for customer-facing SaaS environments.
- Scripting experience in Python and Bash for automation and tooling.
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