Sr. Site Reliability Engineer

Supernal is at the forefront of creating emerging mobility solutions that will foster the development of human-centered cities. We are designing a completely new electric vertical take-off and landing (eVTOL) aircraft tailored to the mobility needs of future cities. This allows passengers a seamless intermodal journey that safely transports them to their final destination. We fuse research in autonomy, robotics, aviation and services to define a new category of mobility for the world’s communities. We believe in creative thinking and collaboration to help build a better mobility experience for everyone, improving people’s ability to move – whether for work or play.

What we do:

Data is the backbone of Supernal from developing our autonomous air vehicles to building the global ecosystem for advanced air mobility to building, scaling, and running an efficient, effective, and data driven business. The new Data team architects and runs UAM’s internal data infrastructure, partners with users across the company to enable data driven solutions and runs strategic projects to stay at the forefront of data and analytical capabilities. We are a team of data engineers, data architects, data scientists, data analysts, data you-name-it, and we’re building out a ground breaking data platform and capability for this new business comprised of modern leading technologies to enable mobility solutions.

As the Site Reliability Engineer, you will be tasked with guiding strong principles and practices across key components from architecture to security to performance across different tools and parts of the data platform. You will face challenges to create new and innovative solutions to solving problems that will help us forge a new mobility eco-system and design the next generation of eVTOL aircraft. You will work within the digital operations group and partner with Engineering, Operations, R&D, Strategy, our leadership team, and third party partners as a leading voice in our data strategy and its delivery.

What you can do:

Launch, manage, and optimize the data platform, use cases, and capabilities with continuous integration and development

• Think about systems – their edge cases, failure modes and life cycles – and how to improve the long-term reliability, and scalability of our infrastructure
• Troubleshoot complex systems independently using observability tools and stack traces
• Understand, implement, and champion infrastructure as code
• Optimize system in terms of framework, code, monitoring, and logging
• Design and lead robust and streamlined CI/CD across the system

Monitor and supervise system continuous performance to ensure efficiency

• Oversee continuous performance of all key components including databases, servers, and applications
• Supervise the storage volume of data being accessed / stored / processed to drive efficient, accurate, and cost-effective data storage types for different layers and uses, ensuring all resources are optimally used
• Foster and maintain all performance-related partnerships

Protect the system from threats in collaboration with Corporate IT and third-party partners

• Identify, mitigate, and handle security risks to the cloud, platform, applications, integrations, and database
• Manage third party partner relationships around system security

What you can contribute:

• B.S. in relevant field such as computer science or information science
• 10+ years of relevant work experience (an equivalent combination of education and experience may be considered)
• Excellent verbal and written communication skills
• Excellent knowledge of software engineering fundamentals
• Proven experience in working with:

1. • Docker and Kubernetes
   • Data storage solutions in an administrative capacity.
   • Cloud-based services (AWS/Azure preferred).
   • SCM solutions (Bitbucket/Github/Gitlab).
   • Data technologies (e.g., Snowflake, Databricks, Palantir)
   • Small, agile teams with rapid growth
   • Jenkins, or similar CI/CD tools.

• Proficient with shell scripting
• Exposure to Airflow
• Self-organizing and self-starting
• Continuous learner, independent worker, and strong decision maker
• Understanding of CI/CD practices
• Collaborative teammate with a dedication to Diversity, Equity, and Inclusion
• Experience in industry working with highly regulated data, i.e., aerospace, automotive, healthcare, finance

You may also be able to contribute:

• Graduate degree
• Experience working with export-controlled data
• Experience wi