Lead Data Architect job at Alert Logic

Job Description

Are you driven to create cutting edge technologies to solve distributed systems problems? Do you live and breathe scalable and fault-tolerant distributed data analysis and processing technologies? Can you explain the CAP theorem, talk about the trade-offs, and compare modern database technologies relative to this framework? Have you designed and implemented infrastructure to enable large-scale analytics and statistical processing? Do you want to do all of this, work in a major metropolitan area, and still be able to afford to buy a house?

Alert Logic is looking to fill a Lead Engineer or Architect position on the Platform Service Team.

The Lead Data Architect works to deliver ground-breaking technology for an established and rapidly growing Software As A Service company. In this role, you will lead the technical direction in the one or more of the following technology areas:

Extend our scalable map-reduce computing platform
Scale our storage technology from managing petabytes, to 10s or even 100s of petabytes of data
Transport, control and management of 10s of thousands of appliances and 1 million+ agents
Research and develop solutions around emerging hardware technologies (e.g. SSDs, GPUs, etc.)

Required Skills:

Expert design and development skills in C and/or Erlang
15+ years of experience designing production distributed system infrastructure on Unix-based systems
Demonstrated network programming skills building scalable and fault-tolerant network services
Passion for what you design and build, with a strong sense of ownership for the results of your decisions
Direct experience designing platform technology successfully leveraged by other developers
Extensive background in systems programming, algorithms, data structures, optimization as well as essential performance tuning/testing

Desired Skills:

Experience designing multi-tenant, or software as a service, applications or technology platforms
Knowledge of all aspects of SQL/NoSQL databases and experience with high-volume processing
Contribution to, or solid experience with, one or more map-reduce frameworks

Education Requirements:

Ph.D. in Computer Science, specializing in Distributed Systems, or 15+ years’ experience delivering the same

Interested in this position?

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