Company : Argo AI GmbH
Who we are :
Argo AI is in the business of building self-driving technology you can trust. With experienced leaders in the field and collaborative partnerships with some of the world’s largest automakers, we’re building self-driving technology that is engineered to scale globally and transform mobility for millions.
Talented individuals join our team because they share our purpose to make it safe, easy, and enjoyable for everyone to get around cities.
We aspire to impact key industries that move people and goods, from ride hailing to deliveries.
Meet the team :
Argo AI Site Reliability Engineers are responsible for building and running our mission-critical systems. Through the implementation of monitoring and automation, our SREs constantly ensure the health, reliability, scalability, and performance of Argo AI’s infrastructure.
The Site Reliability team works together with engineering teams, IT, and Security to address unique business challenges through comprehensive solutions while taking into account system uptime, reliability, and maintainability.
Members of the team are expected to promote the importance of resiliency patterns to other teams within Argo AI, as well as contribute to a culture of continuous learning.
What you’ll do :
Design and implement scalable distributed systems to facilitate the development of self-driving vehicles
Monitor and maintain mission-critical production services to ensure maximum uptime
Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation
Scale the reliability and velocity of our systems and processes through increased automation
Participate in an on-call rotation and culture of continuous improvement through blameless postmortems
What you'll need to succeed :
Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field
Expertise in at least one scripting language (e.g. Bash, Python)
Fundamental understanding of Linux operating system internals, TCP / IP networking, and storage subsystems
Strong experience scaling and securing services in the cloud (AWS, GCP) or cloud native environments
Experience using infrastructure-as-code principles to automate the creation of infrastructure resources (e.g. Terraform, CloudFormation)
Understanding of engineering design limitations and ability to provide guidance to teams to scale their services to achieve desired performance within budget
Experience implementing and debugging cloud native and open source tools such as Kubernetes, etcd, Prometheus, FluentD and Istio
Strong communication skills and the ability to work effectively in a diverse and distributed team
What we offer you :
Competitive compensation packages
30 vacation days
Subsidized daily lunches, beverages, and snacks
Professional development reimbursement
Global Employee assistance program (Offerings include : work-life balance support, mindfulness programs, life coaching, new parent coaching, and more!)
Local and global discount programs
Company and team bonding outlets : employee resource groups, quarterly team activity stipend, and wellness initiatives