Job Description
Staff Engineer, Applications, Site Reliability Engineering Software-defined vehicles represent a new paradigm for automakers and consumers, fueled by technological advancements and an escalating demand for transportation solutions that are intelligent, safe, and environmentally sustainable.
At the core of this transformative shift lies vehicle data – the driving force behind safety, security, commerce, entertainment, energy, and the creation of a seamless user experience.
We seek individuals who can blend a passion for technology and sustainability with curiosity, rigorous thinking, and a strong customer-centric approach.
This is an exciting opportunity to have a far-reaching impact on the business, our customers, our communities, and the world.
### Key Responsibilities
* Design and implement reliability patterns for client applications, communication protocols, and back-office services.
* Operate and influence data collection, processing, and delivery systems that are scalable, resilient, and capable of operating on millions of vehicles at a global scale.
* Leverage monitoring and observability tools (e.g. Prometheus, Grafana, Datadog) to ensure system health and reliability.
* Lead automation efforts to reduce toil and keep our systems running efficiently.
* Lead incident response efforts, ensure root cause analysis, and drive continuous improvement after incidents.
* Drive postmortem processes, focusing on identifying and remediating systemic issues to prevent recurrence.
* Participate in mentorship programs to help grow the team from your experiences.
### Qualifications
* 8+ years of experience engineering reliability.
* Experience building and operating enterprise cloud applications.
* Experience with cloud platforms such as AWS, Azure, or GCP, and container orchestration technologies like Kubernetes.
* Familiarity with security practices such as Dev Sec Ops, and ensuring secure and compliant infrastructure as part of reliability engineering.
* Ability to lead technical decision-making, balancing reliability, performance, and cost.
* Ability to make challenging decisions under pressure.
* Ability to learn complex systems in order to identify and mitigate incidents.
* Ability to work well cross-functionally and navigate through ambiguity.
* Strong written and verbal communication skills to both technical and non-technical audiences.
* BS/MS/Ph D in Computer Science/Engineering preferred.