As the Data Stores team, we are responsible for implementing and delivering data infrastructure solutions that handle and store petabytes of data. Our focus is on scalability, low latency, high throughput, and geo-distributed systems, ingesting terabytes of data every day. We provide seamless, reliable, and scalable data solutions, which are key components for our Machine Learning Models that deliver highly accurate, real-time risk decisions to protect our customers from fraud. Continually adapting to the evolving landscape and trends in the data landscape, we implement new data solutions to ensure our innovative products stay ahead in the market.
What you'll be doing:
Lead and mentor engineers to ensure the seamless operation of our systems.
Investigate and implement performance and cost optimizations for our cloud infrastructure.
Create or introduce tooling and processes to support the operational aspects required for maintaining large-scale cloud infrastructure.
Contribute to the continual improvement of our cloud infrastructure.
Stay updated with the latest trends and technologies in cloud infrastructure, and implement new offerings as needed.
Participate in on-call rotations to ensure the availability and performance of our cloud infrastructure systems.
Who are you?
5+ years of experience as an Infrastructure engineer or backend-oriented software engineer.
Experience with AWS Infrastructure and database products.
Strong Linux troubleshooting experience.
Experience with configuration management (chef, ansible, terraform or cloud formation).
Programming or Scripting experience (e.g: Bash, Python, Go).
Preferred Qualifications:
Solid understanding of database principles, distributed systems, and database management.