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What's in it for you
As part of the Digital Experience Management team, you will work on state-of-the-art, cloud-scale distributed systems at the intersections of networking, cloud security and big data. You will be part of designing and building systems that provide critical infrastructure for global Fortune 100 companies.
What you will be doing
Designing and implementing planet-scale distributed data platforms, services and frameworks including solutions to address high-volume and complex data collections, processing, transformations and analytical reporting
Working with the application development team to implement data strategies, build data flows and develop conceptual data models
Understanding and translating business requirements into data models supporting long-term solutions
Analyzing data system integration challenges and proposing optimized solutions
Researching effective data designs, new tools and methodologies for data analysis
Providing guidance and expertise to other developers on the effective implementation of data models, and building high throughput data access services
Providing technical leadership in all phases of a project, from discovery and planning through implementation and delivery.
Required skills and experience
12+ years experience in designing and coding scalable distributed systems
The ability to conceptualize and articulate ideas clearly and concisely
Experience in building big data pipelines that manage petabytes of data and ingest billions of data items every day.
Experience with big data analytics
Excellent algorithm, data structure, and coding skills with Python, Go, C++ and / or Rust
Experience coding with OSS like Kafka, Redis, and Clickhouse, as well as cloud infrastructure, ideally GCP
Excellent written and verbal communication skills
Bonus points for proficiency in networking protocols and network security such as TCP/IP, TLS, IPSec/GRE, PKI, etc.
Bonus points for contributions to the open source community
Education
BSCS or equivalent required, MSCS or equivalent strongly preferred
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